tag:blogger.com,1999:blog-66982982024-03-14T00:17:33.184+00:00David Hugh-JonesPolitics, society and social science.davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.comBlogger957125tag:blogger.com,1999:blog-6698298.post-19342500087764752312020-10-21T10:01:00.000+01:002020-10-21T10:01:00.468+01:00Moving my writing to substack<p> I'm moving a lot of my non-academic writing to <a href="https://wyclif.substack.com/">substack</a>. Expect more about society, politics and social science. You can read it online, or subscribe to get it in your inbox at irregular intervals.<br /></p><p>Here's a sample of new stuff, some more serious than others:<br /></p><p><a href="https://wyclif.substack.com/p/democracy-fire-or-slow-decay">Democracy: Fire or Slow Decay</a> <span style="font-weight: normal;">– populism is only one of two trends eating away at democracy </span></p><p><a href="https://wyclif.substack.com/p/li-bai-and-the-unicorns-led-by-donkeys">Li Bai and the Unicorns Led By Donkeys</a><br /></p><p><a href="https://wyclif.substack.com/p/li-bai-and-the-abominable-prague">Li Bai and the Abominable Prague Machine</a> –<span style="font-weight: normal;"> in which two Tang-era Chinese poets discuss the end of civilization and Tesla's stock price</span></p><p><span style="font-weight: normal;"> <br /></span></p><p> </p>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-83521477703414896072020-07-18T09:35:00.002+01:002020-07-18T09:37:25.134+01:00Is the future socialist?<div class="separator"><div style="margin-left: 1em; margin-right: 1em;"><br /></div><div style="margin-left: 1em; margin-right: 1em;">This is a hard blogpost to write. My usual view of socialism is absolutely this tweet by Elon Musk:</div><div style="margin-left: 1em; margin-right: 1em;"><br /></div></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinDLhaTaEmLns1CLryCNJWmeYS-vGzOscp3dRMDAnb70DMQ_U6JeoY8Gywj-0uBuadecSKqdFc_Q80PpJl3wMfpHAl8qbKLdHedCsU54KRcGqIQUWlEkr-459G0eGNBXBM2iM-TQ/s712/Screenshot+2020-07-18+at+09.36.16.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="712" data-original-width="588" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinDLhaTaEmLns1CLryCNJWmeYS-vGzOscp3dRMDAnb70DMQ_U6JeoY8Gywj-0uBuadecSKqdFc_Q80PpJl3wMfpHAl8qbKLdHedCsU54KRcGqIQUWlEkr-459G0eGNBXBM2iM-TQ/w330-h400/Screenshot+2020-07-18+at+09.36.16.png" width="330" /></a></div><div><br /></div><div>But it is a good mental exercise to consider options that you've long ruled out. <br /></div><div><br /></div><div>The original case for socialism in the 19th century was that industry was growing more and more organized, concentrated and monopolistic. This wasn't just a pathology – there were really good reasons why you might want, say, a single company running railways all across America. People could see this, and thought: "why not continue this process?" Industry was going to become a single vertically-integrated monopoly, and it could then be taken over on behalf of the people, instead of run to profit a single capital owner. I think that was the nub of Marx's argument about the <i>economic</i> historical inevitability of socialism.</div><div><br /></div><div>From 2020, the case looks the same. I stopped buying stuff online in 2008 because my credit card got stolen from a little specialist internet shop, who just couldn't have adequate security. When I started again, it was with Amazon, because I thought I could trust them. And I still buy 90% of my stuff from Amazon.<br /></div><div><br /></div><div>In short, the internet has created huge forces making monopoly efficient. (Remember back when everyone had email provided by their own ISP? It sucked.) More recently the need for big data to feed to AI does the same.</div><div><br /></div><div>Yet, this pressure to monopoly inevitably makes the incumbents lazy, and stifles innovation, because any firm with a new idea can see it copied by one of the Big Four. Firms like Evernote, Dropbox and Slack are struggling against incumbent copies (Apple Notes / iCloud and Google Drive / Microsoft Teams). <br /></div><div><br /></div><div>At this point, with huge profits being made by a few big and not especially innovative firms, why not take the next step and socialize them? Monopoly has outcompeted competition. We should acknowledge that.</div><div><br /></div><div>I see the appeal. Perhaps unsurprisingly, in the end I'm not convinced.<br /></div><ul><li>The advantage of Big Tech may be a passing phase, driven by the relative rarity of high-level tech skills. During lockdown I started buying things from local firms online. My favourite coffee shop put up a website with a nice clean interface, probably provided by Shopify. They delivered within a day. I no longer felt scared to order. Similarly, much research in AI is about working with smaller datasets which don't require a planet-scale infoharvesting operation.<br /></li><li>Breaking up monopolies is just as plausible a remedy as taking them over.</li><li>Administering huge companies "for the benefit of the people" still suffers from the usual principal-agent problems. It might look less like putting Google under state control, and more like lending Google the power of the state.<br /></li></ul><div>It seems to be a universal rule of human cognition that we confuse local improvement with global optimality. "A step in this direction will make things better, so let's continue in this direction forever and reach Utopia!" So far, socialism has always proved to be a mirage like that. But who knows how many steps we will take towards it this time?<br /></div><div><br /></div>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-10081372621007433262020-07-16T21:35:00.002+01:002020-07-16T21:36:13.969+01:00A data point<br /><div>On the plane to India in 1994, I flicked through the in-flight magazine. Between adverts for Scotch whisky and American suits, it had a feature article: "Is India Racist?" </div><div><br /></div><div>I read on, wondering if it would cover discrimination against Muslims (about 15% of the population) or Dalits (about the same). </div><div><br /></div><div>In fact, the writers had sent a black person into various Bombay shops, to see how he was treated. </div><div><br /></div><div>I have not been able to find estimates of the number of people of African or African-American descent in India. I think it is safe to say it is not large, and was probably smaller still in the 1990s, although there is apparently <a href="http://www.bbc.com/travel/story/20160801-indias-forgotten-jungle-dwellers">one tribe</a>.</div>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-48833962126171855472020-07-14T22:37:00.000+01:002020-07-14T22:37:04.317+01:00Can we trust the historians? As statues fall, and debate roils about the West’s colonial past, we need expert witnesses. Does Edward Colston belong in the street, a museum, or the river? What about Cecil Rhodes or Oliver Cromwell… or Winston Churchill? We want historians’ evidence and informed judgment to deal with complex questions of guilt and responsibility. <br /><br />But is that what we’ll get? Some examples suggest not. <br /><br />David Starkey denied in an interview that the slave trade was genocidal. It couldn’t have been, or “there wouldn’t be so many damn blacks”. He resigned from his position at Cambridge and lost his job at another university. Professor Starkey has form for careless language. He claimed “whites had become black” during the 2011 riots. Meanwhile, Priyamvada Gopal from Cambridge tweeted “white lives don’t matter” – “qua white lives”, she added. She kept her job, but received death threats and switched her Twitter account to private. <br /><br />Naomi Wolf, author of <i>The Beauty Myth</i>, was caught out live when she claimed that gay men were executed for sodomy in the 19th century. She had misinterpreted a key phrase in the court records. An honest mistake, maybe, but the research came out of her 2015 PhD in history from Oxford. You might have expected better fact-checking. <br /><br /><div>Okay, Dr Wolf is a <a href="https://www.nytimes.com/2019/06/05/books/review-outrages-naomi-wolf.html">full-bore conspiracy theorist</a>, and Professors Starkey and Gopal are trolls – and perhaps their remarks don’t reflect the quality of their research. But consider Nancy Maclean’s <i>Democracy in Chains</i>. It told the story of James Buchanan, the economist who helped to invent “public choice” – the economic study of government decisions. The book described Buchanan as a conspirator with the billionaire Ed Koch to tie down democracy. It was a finalist for the US National Book Award. But libertarians on the internet found that Maclean had <a href="https://medium.com/@russroberts/nancy-maclean-owes-tyler-cowen-an-apology-e6277ee75eb3">truncated quotes</a> misleadingly. For example, she quoted Tyler Cowen: <br /></div><div><br /></div><div> The weakening of checks and balances would increase the chance of a very good outcome.</div><br />In fact he wrote:<br /><br /><blockquote>While the weakening of checks and balances would increase the chance of a very good outcome, it would also increase the chances of a very bad outcome. </blockquote>She described Cowen as “creating a handbook for how to conduct a fifth-column assault on democracy”. Cowen’s essay said: “I explicitly favor more democratic systems”. <br /><br />An <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3175135">academic review in the Journal of Economic Literature</a> described the book as “at best sketchy… replete with significantly flawed arguments, misplaced citations, and dubious conjectures.” <br /><br />Closer to today’s issues, historians of the “New History of Capitalism” (NHC) view slavery as central to early capitalist development. Their books have been controversial. The Economist magazine published a critical review of Edward Baptist’s <i>The Half Has Never Been Told</i>, then retracted it in the face of online criticism. But economic historians of slavery were scathing. Reviews in two journals described the school as “substitut[ing] more and better anecdotes for tables of regression results”, and accused Baptist of selectively quoting and merging evidence from slave records so as to mislead the reader. <a href="https://sites.uci.edu/capitalismandslavery/files/2019/10/Cotton-slavery-and-the-new-history-of-capitalism.pdf">One review</a> ended: <br /><br /><blockquote>As the NHC matures, it might embrace the enduring strengths of traditional historical scholarship, including citing sources correctly, conducting close (and accurate) readings, drawing inferences that are actually supported by the evidence, and integrating its findings into the broader historiography. It should also stop making stuff up. </blockquote>Zing. Yet the New History of Capitalism played a major role in the New York Times’ 1619 project, which put slavery and racism at the heart of American history, and Baptist’s thoroughly debunked statistics were <a href="https://www.nationalreview.com/2019/08/1619-project-new-york-times-king-cotton-thesis/">quoted by Ta-Nehisi quotes at a Congressional hearing</a>.<br /><br />There are often fierce debates between different intellectual schools. That’s not the issue here. These books were credibly accused of misleading their readers. That is, they were dishonest. <br /><br />Do not think this is just a left wing thing. Orlando Figes was caught pumping his own books with anonymous reviews on Amazon. Niall Ferguson, the biggest media don of all, <a href="https://delong.typepad.com/sdj/2012/08/more-lies-from-niall-ferguson.html">misleadingly edited quotes</a> when he <a href="https://www.theatlantic.com/business/archive/2012/08/a-full-fact-check-of-niall-fergusons-very-bad-argument-against-obama/261306/">joined the debate about the effects of Obamacare</a>. (In 2018, he resigned from Stanford after asking for “opposition research” on a progressive campus activist.) <br /><br />Dishonesty exists in all of academia. But mostly, when it is found out, it is punished. Diederik Stapel – the “Lying Dutchman” – who invented all of the data for his experiments in social psychology, is no longer an academic. Nor is Michael Lacour, who ran a fraudulent study on persuading people to support gay marriage. Discovered scientific fraud ends careers. Quotations are a key tool of historical research, so you’d expect similar standards to apply: misleading quotation is data falsification. In fact, most of the above historians are still in academia, and didn’t even lose their jobs or their book awards. <br /><br />What’s up with that? <br /><br />One underlying reason might be <i>intellectual trends</i>. There was a period when quantification was fashionable in history. Times changed, and historians drew back from this – perhaps because they reasonably believed that historical narrative cannot be supplanted by data analysis. (The same arguments are now being refought in a new debate on “cliometrics”.) History became influenced by the post-structuralist and post-modern turn, including skepticism towards truth in narrative. Speaking to historians at my university recently, I found that these ideas remained influential: “of course, all remembering is misremembering,” said one, as if this were a truism. This attitude may have made it easier to get away with phoney, but rhetorically persuasive, arguments. <br /><br />Another possibility is <i>loose standards</i>. Historians surely have shared ideas of what counts as good work. But they may not be as precise or technical as in other disciplines. Econometricians obsess over identification of causal effects. Statisticians have rigorous mathematical conditions for estimating parameters of a model. History might by nature be more diverse than that, and this could let shady work fall through the gap. Historians often rely on the telling anecdote. This is not a flaw: just as in a law court, a single fact really can demolish a historical case. But when the supply of possible examples gets large, the ability to make your case by careful selection increases along with it. <br /><br />Lastly, <i>incentives</i> matter. Engineers with a new idea can build and sell a better mousetrap. Medical advances turn into treatments that face randomized controlled trials. Economists can get paid making policy recommendations. None of these leads to perfect incentives for scientific honesty. But one thing that makes you a big name in history is writing a successful book. This gives a certain incentive to please the public, perhaps by telling it what it wants to hear. Indeed, the Amazon reviews for Maclean’s work are glowing. There’s an audience for the story that economist intellectuals conspired to overthrow democracy... even if it is just a story. <br /><br />Whatever the reason, we need historians to get their house in order. The “hard” data-crunching social sciences, on their own, cannot teach us about our past. Narratives matter, but they can’t just be any old story. Psychology is processing its reproducibility crisis. Economics has had its credibility revolution. Where is history’s civil war of the footnotes? <br /><br /> davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-88650359692000475192020-06-21T03:55:00.003+01:002020-07-09T10:51:02.556+01:00On two pieces of graffiti in the town centre of Norwich<div><br /></div><div>Two kinds of graffiti have popped up in town.</div><div><br /></div><div>One is in the underpass near my house: a massive BLACK LIVES MATTER, written over about 20 yards. In between there are some extra slogans: "Don't trust the media! Think for yourself!" <br /></div><div><br /></div><div>It is signed by Knapple, Norwich's best known graffiti artist. Knapple's signature is a stylized, coloured pineapple. Sometimes, she gives lectures. Her <a href="https://https://knapple.bigcartel.com/who-am-i">website</a> says "Graffiti is about everyone being entitled to have a voice, regardless of whether you like it or not."</div><div><br /></div><div>The work is big and stylish. It took time. Knapple works in daylight. The council (or maybe the Business Improvement District) hires her to paint the underpass. She has an on-going battle with the local kids. They graffiti her graffiti.<br /></div><div><br /></div><div>The second kind of work is all around the town centre. The council has marked social distancing signs on the pavement: "this way" and "keep 2m apart". The unknown artist, or artists, have commented on this, in brightly coloured chalk: "No evidence!", "Don't think for yourself", "Do as you're told" and in one place, scornfully, "Baa! Baa!". Several buildings have been marked with a stencil: COVID IS A HOAX.</div><div><br /></div><div>Knapple has several advantages over the anonymous artist, like "not being insane" and "being unlikely to kill anyone". But the other wins in one way: they are more sincere. When Knapple says <i>don't trust the media</i> and <i>think for yourself</i>, she probably means "don't trust the Daily Mail". The Guardian might get a pass. If someone were to actually bypass the mainstream media and start reading 5G conspiracy websites, then she would be horrified. (I am making assumptions, but they are generous ones.) If she were discovered writing COVID IS A HOAX, her paid work would dry up. <br /></div><div><br /></div><div> The anonymous artists really mean "don't trust the media" – any of it. They really want you to think for yourself, and to find your own truth, on Facebook or Youtube, in the internet's dark corners.<br /></div><div><br /></div><div>A lot of the left wing is a bit Knapplish today. They want to be radicals. They have radical styling. Black Power clenched fists get posted to corporate Twitter feeds. Young couples, feet on the property ladder, declare allegiance to socialism.<br /></div><div><br /></div><div>It is fun to feel like a rebel. It is hard to give up this feeling. But if you don't, you might end up succouring people who really do want to overturn everything, and who are too stupid, mad or heartless to care about the side effects.</div><div><br /></div><div>The property owners have quickly painted over COVID IS A HOAX. People in Norwich aren't daft.</div><div><br /></div><div><b>Update</b>: the underpass graffiti has been joined by antisemitic theories ("Rotschilds made millions"), an anti-police acronym ("ACAB") and a White Power symbol and slogan.<br /></div>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-83238963192827034312020-01-05T12:36:00.004+00:002020-01-05T12:36:52.366+00:00Political arguments, custard elephants and the law of iterated expectations<br />
The law of iterated expectations is a statistical fact which looks like this:<br />
<br />
<blockquote class="tr_bq">
E[X] = E[ E[X | Y] ]</blockquote>
<br />
(Don't run away. The point is coming.)<br />
<br />
In English, this says that the expected value of some variable X is equal to the expectation of its conditional expectations, given different values of another variable Y. (Don't run!)<br />
<br />
Let's make it a bit more concrete. Suppose Y is a statement which may be true or false. Then:<br />
<br />
<blockquote class="tr_bq">
E[X] = Probability(Y is true) * E[X, given Y is true] + </blockquote>
<blockquote class="tr_bq">
Probability(Y is false) * E[X, given Y is false]</blockquote>
<br />
The point to focus on is that if E[X, given Y is true] is higher than E[X], then E[X, given Y is false] cannot also be higher than X. You can show this with a bit of algebra, using that the probability of Y is strictly between 0 and 1. (Don't run! I swear that is the last of the algebra.)<br />
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For example, the expected value of a fair die throw is 3 and a half, and this is equal to<br />
<br />
1/2 * 3 + 1/2 * 4<br />
<br />
which is the expected value if the die lands on an odd number, times the chance of that; plus the expected value if the die comes up even, times the chance of <i>that</i>. You can cut the die roll up many different ways; the formula will always give you the right answer. Notice that 3.5 is strictly between 3 and 4.<br />
<br />
Now, let's begin.<br />
<br />
Here is an interesting sentence from Martin Jacques' excellent book <i>When China Rules The World</i>.<br />
<blockquote class="tr_bq">
India's [post-colonial economic] performance was transformed, as the figures cited earlier for its economic growth illustrate, but Africa was left debilitated by the experience of the slave trade and then colonialism.</blockquote>
Jacques is referring to the fact that after the end of colonialism, GDP growth in Africa collapses – and even GDP levels, in some cases. As the context makes clear, the first part of this sentence claims:<br />
<br />
1. India's GDP growth rose after independence, and this shows how bad colonialism was.<br />
<br />
while the second part claims:<br />
<br />
2. Africa's GDP growth fell after independence, and this shows how bad colonialism was.<br />
<br />
Claims 1 and 2 violate the law of iterated expectations. Put Y as "a given country's GDP grows faster after independence from colonialism" and X as "how harmful colonialism was". If Y being true is evidence for the bad effects of colonialism, then Y being false cannot also be evidence for it. In fact, it must be evidence against it.<br />
<br />
Someone might say: "You are oversimplifying absurdly. Of course there are complex links from colonialism to Africa's bad economic performance after independence. And of course India has its own, very different, history, which also features colonialism." This is true, but it doesn't affect the point. If your theory of history uses both Y and not-Y as evidence for the same overall claim, then your theory has a problem – not in the historical facts, but in how they are being interpreted.<br />
<br />
I suspect that a lot of political arguments secretly violate the law of iterated expectations. The above was a particularly clear example in one sentence. More often, one person sees some evidence and goes "that proves my point"; but <i>if</i> they had seen the opposite, they <i>would</i> <i>have</i> said the same thing.<br />
<br />
Or sometimes different people, on the same side of the argument, use contradictory pieces of evidence in different contexts. So, typically, scholars of African history will make the African argument above, and those of India will make the Indian argument. Either one may be right, but they cannot both be.<br />
<br />
Here are some other examples. They are hypothetical, but they may sound familiar.<br />
<ul>
<li>An ethnic minority underperforms for a certain educational qualification. This shows that the relevant education institution is structurally racist. Students from the minority outperform for a different educational qualification. This alo shows that the education institution is structurally racist: it is setting the admission bar too high for those students.</li>
<li>The government borrows in response to an economic shock. You think this is risky, and you predict rising inflation. But when inflation doesn't rise, that doesn't change your view. You just keep predicting it will rise in future.</li>
</ul>
Why political arguments, especially? For the usual reason: in politics and other morally-charged domains, we decide on our views and then find the evidence to support them.<br />
<br />
Oh, and the custard elephants.<br />
<br />
<i>Why do elephants paint their feet yellow?</i><br />
So they can hide upside down in custard.<br />
<i>Have you ever seen an elephant upside down in custard?</i><br />
No? Shows what a good disguise it is, then.davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-54090271180102820422019-10-26T17:23:00.001+01:002019-10-26T18:15:11.279+01:00Testing the robustness of the NHB migration resultNever say "beyond reasonable doubt". No sooner had I <a href="https://davidhughjones.blogspot.com/2019/10/the-genes-and-geography-paper-is-out.html">made this boast</a> than Panu Pelkonen called my bluff on twitter:<br />
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<img alt="" 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" /><br />
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This could indeed be a concern. For example, we show that polygenic scores for educational attainment are higher for those leaving coalmining areas than those staying in them. But what if that is only true in those clustered areas (which represent UKBiobank Assessment centres, by the way - not all of them are necessarily big cities)?<br />
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One way to address this critique is to check whether the result varies much <i>within</i> the sample. This isn't perfect, because there still could be variation beyond the sample. (To understand this, consider another variable – age. Almost all UK Biobank respondents are over 40. Our results hold across all the age groups within the sample: for example, among 40-50 year olds, 50-60 year olds, and so on. But that doesn't prove the result would hold for 20-30 year olds. Maybe mining areas have started to attract talent back among the younger generation – I doubt it, but it is not a question our data can answer.)<br />
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Nevertheless, if we see the result is pretty robust wherever we look within our sample, that should give us some comfort that it is unlikely to be different outside the sample.<br />
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So, this afternoon I took a look. I reran the basic analysis for each separate UKBiobank assessment centre. I discarded any assessment centres which had no people living in coalmining areas (or everybody living in a coalmining area). Then, I looked among people <i>born in </i>a coalmining area, and living near that centre. Within this group, I looked at the average polygenic score for educational attainment (PSEA) among people<i> currently living</i> in a coalmining area, and<i> currently living</i> outside a coalmining area. And I took the difference of the two. Our overall result was that PSEA was higher among those not living in a coalmining area ("movers away"). Would this hold across all the different assessment centres?<br />
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Here's the answer: <br />
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<tr><td style="text-align: center;"><img alt="" height="640" 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" style="margin-left: auto; margin-right: auto;" width="568" /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Difference in PSEA between "stayers" (still living in a coalmining area) and "leavers" (born in a coalmining area but not living in one now). Lines show 95% confidence intervals (standard errors clustered by census geography)</td></tr>
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Basically, yes. Stayers have lower PSEA than leavers for almost all the 17 centres I looked at, and significantly so for most of them. There is a single assessment centre where stayers have higher PSEA than leavers. This comprises just 361 people; I would guess that near this centre, the ex-coalmining area is richer than non-coalmining areas. Overall, then, the result seems quite geographically robust.davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-44862899280366494352019-10-21T18:50:00.000+01:002019-10-21T18:50:19.287+01:00The genes and geography paper is outOur <a href="https://www.nature.com/articles/s41562-019-0757-5">paper "Genetic correlates of social stratification in Great Britain" is out in Nature Human Behaviour</a>. I and Abdel Abdellaoui, the lead author, have written a non-technical piece about it <a href="https://theconversation.com/inequality-now-extends-to-peoples-dna-124444">in The Conversation</a>, and here's <a href="https://www.the-scientist.com/news-opinion/opinion--the-nature-of-social-inequalities-in-great-britain-66607">another article</a> from Abdel. The short version: we look at genetic differences across different areas of the UK, in particular rich and poor regions, and find that they are increasing. We use <i>polygenic scores</i> – DNA-based estimates of a person’s characteristics, like their education level, height, personality or proneness to disease. Over the past half-century, people with high polygenic scores for educational attainment have been leaving poor areas and moving to richer ones, making Britain more unequal. Here, I just want to give some more personal reflections on the paper.<br /><br />First, I’m very happy with this work. Though I only contributed a small part to a much larger body of evidence pulled together by Abdel, I still feel proud to be part of this project. I am mostly a sceptic about “scientism” in the social sciences – the idea that we can discover timeless truths about society, the way the hard sciences do for the natural world. But there is genuine science to be done, and in my view this is an example. Much is still unclear about the import of these results, and there are still many interesting questions to explore, but the paper proves its core claims beyond reasonable doubt.<br /><br />Second, it’s been an interesting process. The paper’s topic – genetic differences across different regions – is controversial. Early on, I predicted that people would either see our results as obvious, or as unconscionable. The preprint generated a lot of tweets. When I put an early chart from the paper on Facebook, one person accused me of “shitting out” a random result and unfriended me. I was also accused of being part of the Bremainer elite. <a href="https://davidhughjones.blogspot.com/2019/10/a-history-of-brexit-from-earliest-times.html">Heh</a>. Needless to say, this paper makes no claims about the rights and wrongs of Brexit. I expect more of this in future (and, to people outraged by our findings: would you prefer us to change the data?)<br /><br />Then, I am still very uncertain about the <i>practical</i> implications of the results. Partly this is because some scientific uncertainties still remain. Our Conversation article glosses over the fact that geographic clustering of genetic variation raises awkward technical issues for geneticists. DNA data does not magically rule out confounding variables. If people with high polygenic scores for educational attainment live close to each other, how much of the “effect” of the score is really due to the environment they live in? Within-family studies, which give true causal estimates of these effects, due to the “lottery of meiosis” – the fact that siblings randomly get different amounts of Mummy’s and Daddy’s DNA and hence different polygenic scores – limit this concern. But it still needs to be investigated further.<br /><br />But even if all the scientific uncertainty were resolved, I’d still be unsure how to respond to our findings. Our Conversation article gets at one point: genetic differences exist between regional populations, and these are likely to explain some of the regions’ economic performance, and <i>maybe</i> also other outcomes such as health outcomes – though this is still unclear. <br /><br />What should we do about this, though? How serious is it? H. G. Wells’<i> Time Machine</i> is a nightmare vision of the future, where the human race separates into privileged, childlike Elois and the underground Morlocks, descendants of the working class, <a href="http://www.gutenberg.org/ebooks/35">who feed on them</a>.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><img alt="The moment an angry mob of commuters dragged Extinction Rebellion protestors off the top of a London Underground train at Canning Town station, east London." class="article-header__lead-image cld-responsive" data-src="https://images-e.jpimedia.uk/imagefetch/w_auto,f_auto,ar_3:2,q_auto:low,c_fill/if_h_lte_200,c_mfit,h_201/https://www.scotsman.com/webimage/1.5028050.1571380524!/image/image.jpg" src="https://images-e.jpimedia.uk/imagefetch/w_700,f_auto,ar_3:2,q_auto:low,c_fill/if_h_lte_200,c_mfit,h_201/https://www.scotsman.com/webimage/1.5028050.1571380524!/image/image.jpg" style="margin-left: auto; margin-right: auto;" title="The moment an angry mob of commuters dragged Extinction Rebellion protestors off the top of a London Underground train at Canning Town station, east London." /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">London 2019: Angry Morlocks savage an isolated Eloi. <a href="https://www.scotsman.com/news/opinion/columnists/i-m-a-member-of-extinction-rebellion-and-the-london-underground-protest-was-a-mistake-1-5028386">Source</a></td></tr>
</tbody></table>
<br />
Should we be <i>that</i> worried? Eh, probably not. We still know so little about the pathways from DNA to complex social outcomes like education. But should we be somewhat worried? Maybe.<br /><br />One point is quite simple. We show differences between rich and poor area averages for many polygenic scores. For a generation or more, geneticists fought to persuade social scientists that individual differences in outcomes may reflect genetics rather than the environment. I’d say that battle is mostly won. With these results, we can start having the same debate about geographic differences. Commentators and policy reports often point to regional inequalities as evidence of social injustice, or of institutional failings in the worse-off places. (<a href="https://www.coalfields-regen.org.uk/research-and-reports/">Here is a recent report from the Coalfields Regeneration Trust</a>, about the very areas our article focuses on; here's <a href="https://www.mirror.co.uk/news/uk-news/paul-routledge-coalfields-charity-helping-20643148">The Mirror blaming Thatcher</a>, though in fact, these areas were declining from the 1920s onwards....) Now, another potential explanation is available. <br /><br />That does not mean there is nothing to do about these inequalities – <a href="https://ghr.nlm.nih.gov/condition/nearsightedness#genes">as anyone who wears spectacles should know</a>, genetic does not mean unalterable. But it does challenge the presumption that all geographic inequalities must be down to social or institutional differences. It ain’t necessarily so. davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-8728318841412695352019-10-18T09:23:00.000+01:002019-10-18T09:31:39.473+01:00Why I am a nationalistThere are three attitudes you can take to the world around
you. You can be <i>nationalist</i> or <i>patriotic</i>, caring about your
country as a whole and trying to improve it. You can be <i>self-interested</i>,
caring for yourself and perhaps your family. Or you can care about the poor in
your country, and try to improve their position. Just for a simple label, let’s
call this being a <i>socialist</i>.<br />
<br />
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<tr><td style="text-align: center;"><img alt="Giuseppe Garibaldi (1866).jpg" data-file-height="476" data-file-width="366" src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Giuseppe_Garibaldi_%281866%29.jpg/220px-Giuseppe_Garibaldi_%281866%29.jpg" style="margin-left: auto; margin-right: auto;" /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Garibaldi, another bearded nationalist</td></tr>
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</div>
<br />
<div>
<br />
<br />
Some people think there is a fourth position: being an <i>internationalist</i>
and caring about the world as a whole. There are some saints who truly act on
this ideal, but they are few. Most people who call themselves internationalist
behave quite like self-interested people. In other words, internationalism is
hot air. There is a reason for this. Helping people is not achieved by sitting
and wishing it. It requires institutions and organizations. The most important
mutual help organizations in the modern world are nation-states. Without these,
internationalism is reduced to good intentions.*</div>
<div>
<br /></div>
<div>
</div>
<div>
So, the important choice is between attitudes to the state
we are in. Should we spend our energy trying to make our nation better for
everyone, or should we try to make it more equal, giving more to the poor and
taxing the rich?<br />
<br /></div>
<div>
I forgot self-interest. Though I am certainly no less
selfish than other people, I don’t find selfishness attractive as a philosophy
of life. I cannot prove it is wrong, so I will leave it at that.<br />
<br /></div>
<div>
Helping the poor might seem noble, but the struggle between poor
and rich is zero-sum. Redistribution cannot make us all richer, and too much
redistribution can even make us all poorer. In the 19<sup>th</sup> century, the poor might starve. Fighting for
them made sense, since a dollar redistributed was worth much more to the poor
person. In rich countries in the 21<sup>st</sup> century, poverty is relative.
That does not make it trivial, but it does mean the problems of poverty are
complex and cannot be solved by redistribution alone. Otherwise we would have already solved them, since all
modern democracies redistribute massively.<br />
<br /></div>
<div>
Nationalism, on the other hand, means trying to make your
nation stronger and better. Doing this benefits everyone in your country. So,
it is better to be a nationalist than a socialist (in the broad sense of trying
to improve the position of the poor). Nationalism potentially benefits
everyone. Socialism helps the poor but harms the rich.<br />
<br /></div>
<div>
Nationalism can go too far, so that we try to benefit our
country at a cost to other countries, for example, by fighting wars of
conquest. Some
people think that we should separate patriotism (good) from nationalism (bad).
This is a mistake. It is like thinking that because you can be too tall, there
are two kinds of height: good height and bad height. Nationalism and patriotism
are two words for the same thing.<br />
<br /></div>
<div>
I could say “I am a patriot” but that sounds anodyne. Since
nationalism is controversial today, whereas it ought to be less controversial
than socialism, I prefer to say I am a nationalist. (Would you have read this
post if it were entitled <i>Why I am a patriot</i>?)<br />
<br />
<span style="font-size: small;"><br /></span>
<span style="font-size: small;">* Of course, there are organizations dedicated to helping
people internationally, like development NGOs. Some of these surely do
wonderful work. Overall, though, their level of success is weak. After
mountains of study, there is little evidence that international aid helps
countries develop. It may even harm them, by supporting corrupt officials and
politicians. One reason for this poor record is probably that well-intentioned
outsiders fail to understand what is going on in the places they are trying to
help.</span> </div>
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-68426423989297002392019-10-13T16:35:00.001+01:002019-10-14T16:20:07.772+01:00A history of Brexit from the earliest times1. To understand Brexit, we need to start early enough – say, in 1815, on the battlefield in the aftermath of Waterloo. Thread your way through the masses of wounded, dead and dying, and consider: democracy did not spread through Europe because of Progress or Enlightenment. It spread because military technology favoured the development of mass citizen armies. These armies made citizens powerful, and over time that power was reflected in the political system. Political economists have found<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1136202"> empirical support for this process</a>, but the best description was given by Céline in his novel <i>Journey to the End of the Night</i>: <br />
<blockquote class="tr_bq">
... it was the philosophers who first told stories to the people…. That’s it, the people started saying, that’s just it! That’s exactly it! Let’s all die for that! The people is always so keen to die…. “Long live Diderot,” they yelled and then “Hurray for Voltaire!”… At least those guys won’t let the people die in ignorance and superstition…. First up, may everyone know how to read the newspapers! It’s healthy! By God! And quick! No more illiterates! They’re not needed! Nothing but citizen-soldiers! Who vote! Who read! Who fight! Who march! Who blow kisses!.... And that was the send-off of the first battalions of the frenzied emancipated! The first of the voting, flag-waving sods that Dumouriez led off to get shot up in Flanders. </blockquote>
<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><img alt="https://upload.wikimedia.org/wikipedia/commons/c/c6/Morgen_nach_der_Schlacht967b.jpg" class="shrinkToFit" height="480" src="https://upload.wikimedia.org/wikipedia/commons/c/c6/Morgen_nach_der_Schlacht967b.jpg" style="margin-left: auto; margin-right: auto;" width="640" /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">The aftermath of Waterloo: dead and dying citizen-soldiers</td></tr>
</tbody></table>
<br />
2. Democracy means deciding by majority rule. Sometimes the majority will be narrow, but if narrow majorities cannot get their way, then you do not have democracy but some other system. (After all, if 80% of the citizens favour a policy, then even authoritarian regimes are likely to implement it.) <br />
<br />
3. There is no magic to democracy. Voters are unlikely to think hard about their choices, since each individual has such little influence on the outcome. Democracy does not guarantee sensible outcomes. <br />
<br />
4. Since democracy is majority rule, it also means that the majority will tax the minority and transfer money to themselves. Indeed, most democracies have generous redistributive welfare states. Conservatives have always worried this will lead to the downfall of democracy in a spiral of expropriative taxation. In the 1970s, there were fears that Britain was turning into an elective dictatorship. <br />
<br />
5. However, the peace afforded by Europe, and the shift in warfare away from mass citizen armies towards more capital-intensive technology, removed the underlying cause for democracy’s spread. Although the high point is usually seen as the 1990s after the collapse of the Socialist bloc, in fact, even in the 1970s, limits began to be set to the power of democratic majorities. <br />
<br />
6. The courts have been one actor involved in imposing these limits. Government actions have become increasingly justiciable, and are now regularly challenged in courts. This is a deep change in the UK’s political system, in which, traditionally, parliamentary sovereignty had been central. <br />
<br />
7. This change was always a matter of politics. No political scientist should take seriously the judiciary’s claim to stand above politics. Judges are people with interests, like the rest of us. This is obvious in the US, where some judges are even elected. <br />
<br />
8. Another limit to the power of majorities is competition between governments. Exit to a different state lets individuals avoid burdensome taxes. In turn, the prospect of this flight acts as a deterrent on expropriative taxation. This may be one reason why the US has stayed democratic for so long – it is a highly federalised system, which in addition had an open frontier for the first half of its existence. Very highly redistributive polities, such as socialist states, have always had to ban emigration. <br />
<br />
9. The EU came into being in order to bind France and Germany together and preserve the peace in Europe. But as it grew it fulfilled another function, of allowing people, goods and capital to flow between states. This promise was especially valuable to those in poor countries with inefficient governments, but it provided a safety valve for the rich, talented and mobile everywhere. Europe began to develop as a network of cities, competing for intellectual capital.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://monocle.com/magazine/issues/103/" style="margin-left: auto; margin-right: auto;"><img alt="" src="https://img.monocle.com/issue/cover-103-coloured-58f88502ad194.jpg?w=447&resize=aspectfit&g=center&q=80" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">In the Monocle world view, skilled mobile labour chooses between competing cities...</td></tr>
</tbody></table>
<br />
10. Those left behind without transferable skills, and with stronger ties in social networks at home, did not see the benefits of exit as a safety net for the rich. They felt threatened by the entry of poorer workers from the east of Europe, and by the possible collapse of the democratic welfare state. The Brexit vote was an attempt to tie the elites back to their poorer co-nationals, to limit both entry and exit.<br />
<br />
<br />
<table>
<tbody>
<tr><td style="text-align: center;"><iframe allowfullscreen="" frameborder="0" height="344" src="https://www.youtube.com/embed/Vc3cj_e5lIc" width="459" style="margin-left: auto; margin-right: auto;"></iframe></td></tr>
<tr><td class="tr-caption" style="text-align: center;">... but not everybody is a fan of the highly mobile rich.</td></tr>
</tbody></table>
<br />
11. Since the referendum, the UK’s political system has not negotiated successfully or unified around a political strategy. The reason for this is that 80% of MPs favour remaining within the EU. Referendums have a weakness, which is that they mandate a policy without voting in representatives to implement that policy. The reason Parliament did not successfully negotiate Brexit in the past three years is not that Brexit is impossibly difficult. It is that Parliament did not want Brexit. <br />
<br />
12. Indeed, the whole political and social system did not want Brexit. Leave won by votes counted, but if those votes had been weighted by political power, income, or social influence, then the result would have been 80-20 remain. In the normal course of things – even in democracies, where majority rule decides the overall shape of taxation and redistribution – what happens is determined by the weight of political power, income and social influence. We are therefore in an unusual situation, where the principle of democracy challenges the normal way things work. <br />
<br />
13. The courts are simply another organ by which the social system expresses its demands. This is no disrespect to the judges involved in the ruling on the recall of parliament. It is certainly an unprecedented intervention into politics. But the legal groundwork for this kind of intervention was laid over a long period by the increasing justiciability of political decisions – perhaps as a response to the flaws in democratic politicians’ decision-making. They are simply pushing further on down a well-trodden path. <br />
<br />
14. We are in the middle of a struggle between democracy, and the ordinary way of deciding things in a society, which is that the rich, established and powerful get their way. <br />
<br />
15. There is no particular reason you should favour democracy in this struggle. Voters can be stupid. The outcome of votes can be stupid too. A bare majority is hardly more likely to be right than wrong. Political campaigns rarely come up to the ideal of rational debate. You may very well prefer an enlightened bureaucracy with the occasional vote as a safety valve – like, say, the EU today, whose Parliament has about as much power as the Imperial German Parliament in 1912. <br />
<br />
16. But you should be clear what you want. If you think majority rule is a bad idea, then say so and be honest about it. You should not pretend that you care about the will of the people, or that asking again until you get the right answer is democratic, or that the referendum result was not truly democratic because the campaign did not come up to your ideal of debate, or that Parliament is defending its proper role when it tries to settle the government’s foreign policy in advance (another unprecedented innovation). This is sanctimonious hypocrisy. <br />
<br />
17. The day after the referendum (in which I voted remain, by the way) I spoke to a Big Issue seller. “It won’t happen,” he said. “If voting changed anything they’d ban it.” I was more sanguine. I thought that the urge to preserve democratic legitimacy would be strong among elected representatives. But his comments have resonated with me over the past three years. <br />
<br />
18. Personally – perhaps out of nostalgia – I favour democracy. Maybe it was stupid to allow a direct vote which risked bringing the principle of majority rule into conflict with the wishes and beliefs of the most influential. But if we do so, and the whole political system promises that the vote will be meaningful, then I think we had better implement that vote. Otherwise, who are we kidding with this democracy stuff? For that reason, I am now a Brexiteer. <br />
<br />
19. I hope that we will soon have an election involving a clear choice between pro-Brexit and anti-Brexit parties. I hope that the pro-Brexit parties will win, giving us representatives who are prepared to implement the decision we took in 2016. I also hope that the judiciary recognizes that there are wise limits to judicial power, and that judges should not get involved with micro-managing the political process. <br />
<br />
<br />
<br />
<br />davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-54122525633062497122019-10-06T05:50:00.001+01:002020-06-26T08:28:16.186+01:00Death and the salesman<br />
(Conference blog number two, it's like a social science <i>Meine</i> <i>Preise</i>, but without the prizes. <i>Meine Preise</i> is Thomas Bernhard eviscerating all the awards he ever got. It’s in <i>German</i>. He’s an <i>Austrian modernist novelist</i>, you fuckers. But I anticipate. Here's <a href="https://davidhughjones.blogspot.com/2019/01/inside-half-baked-establishment.html">number one</a>.)<br />
<br />
A libertarian US think tank which publishes many classics of liberalism – OK? – offered $900 to attend one of their conferences. This seemed deeply corrupting. I said yes at once.<br />
<br />
The place was a very fancy country hotel, suitable for politicians negotiating a peace treaty: “Sit down and bargain / All you like, grizzled old foxes /
We’ll wall you up in a splendid palace…”, but with no <a href="https://kabisa.wordpress.com/2007/04/19/song-of-those-who-died-in-vain-primo-levi/">war zombies waiting to drown us in putrefaction</a>, just political philosophers.<br />
<br />
They had sent us a big book of readings. These all reminded me of when Theresa May (who?) came to town and gave the party a ringing speech. The Corbynites would return to the policies of the 1970s. “And to challenge them… we must return to the arguments of the 1980s!” Cue cheers while DHJ groans. So: liberty yadda yadda, self-ownership yadda, Nozick, inalienable yadda. (In-al-i-en-ab-le, a hard word when you’re drunk.)<br />
<br />
They seemed strict about attending all the sessions and starting on time. And indeed, when I skipped the first lunch a delightful young lady, all impeccable hairdo, manners and remembering everybody’s name, asked me in the loveliest way whether I’d mind attending the rest of the dinners in future because of, you know, team-building. No problem, Lady Liberty. Nine hundred bucks.<br />
<br />
In the first session, they explained the discussion rules. To make a comment raise your hand, and you’d be entered in the <i>long comment queue</i>. But to make a short comment, you could enter the <i>short comment queue</i>, by putting your thumb and forefinger together and making the <a href="https://www.washingtonpost.com/technology/2019/09/26/okay-hand-sign-has-moved-trolling-campaign-real-hate-symbol-civil-rights-group-says/">Pepe Le Frog signal</a>. (<a href="https://reason.com/2018/09/14/another-brutal-review-of-nancy-maclean-d/">Nancy Maclean</a>, get in touch. I have material for <i>Democracy in Chains 2: The Alt-Rightening</i>.) This sounded fun. Oh boy! Everybody has their hand up already!<br />
<br />
Intellectually… well, you know. These people have been arguing since Aristotle, and they still haven’t defined their terms. Freedom this and that. People uttered various concerns. To respond to anyone, you had to do the Pepe and get in the short comment queue. Some Nordic chap called out the next speaker. Intuitively this seemed offensive to me – there’s 16 of us and we need a ringmaster? But it might make sense when you have a bunch of people talking past each other. Like, if there is no shared academic project, you know? I began to appreciate the benefits of the hard-edged econ seminar, where every question is like “your standard errors are wrong, <i>NO FUCK YOU, THEY’RE WRONG</i>.” At least we all agree what we are doing. I think it turns out, even if what we are doing doesn’t make sense, you need that agreement to focus the conversation. This was more like pub talk, but with sparkling water not beer.<br />
<br />
Oh, and with political philosophers. Lordy. Chinos and “informal” jackets on the guys. Everybody talks in complete sentences the. Entire. Fucking. Time. & never mind swear words: I have yet to hear slang. Everybody is cosplaying that it’s 1870 and they’re<i> civilized</i>.<br />
<br />
Freedom’s last line of intellectual defence is a bunch of Goody Two Shoes.<br />
<br />
My last straw was at the end of the (splendid) dinner. The waiter announced the pudding menu – the <i>dessert</i> menu, no, God damn it, <i>afters</i> – in native French. Around my table, four international voices rise in gratified chorus: “<i>Merci!</i>”<br />
<br />
Why, I see you all speak French! You prissy fuckers. Of course you do.<br />
<br />
I went back to my room. I browsed Reddit. I read Deborah Devonshire, one of the Mitfords. Her father only read one book in his life, <i>White Fang,</i> and afterwards he gave up, because nothing could beat that.<br />
<br />
It’s 3 am. I’ll get the first bus. I just hope they don’t bill me for the hotel.<br />
<br />
<br />
<b>Day two</b><br />
<br />
<i>Morning</i><br />
<br />
Yeah… well... it’d be bad manners… $900, you know….<br />
<br />
<br />
<i>Evening</i><br />
<br />
Today was fabulous. Not the sessions, though there was one decent one where I got to talk a bit. But during the compulsory dinner afterwards and BOY THE FOOD IS MAGNIFICENT, these people really know how to buy an academic, although they don’t seem to know what they’re buying.<br />
<br />
The wine wasn’t bad either.<br />
<br />
I say compulsory. I mean: I wanted to catch an early train, and the poor chap who organizes these things – why do you never get a sinister authoritarian scumbag making these kind of threats? Why is it always a poor frizzy guy? He looked so helpless and unloved – said he would withdraw my honorarium. Because the dinner is compulsory too! You Must Schmooze For Freedom.<br />
<br />
So during the compulsory dinner, ‘twas me and a buddy, plus a splendid old intellectual historian in the right kind of suit and tie, plus another young-well-spoken-genericity, plus a female American prof, another poor poppet, as I thought at first. She revealed her steel slowly. And thinking back to the sessions, I realised that her every intervention – an intervention is the argot for when you say something which changes nothing – had pitched Her View, like a patent medicine guy on the back of a Nevada steam train. “Cures gout! Contains rattlesnakes!” Her View was a unique brand of Kantianism-libertarianism. “Cures rattlesnakes! Contains gout!”<br />
<br />
Anyway, in the course of asking her what influence political philosophers had had on anything since, say, Marx, I made the mistake of interrupting her and then not stopping to apologize, because I wanted to, you know, actually find out what influence etc. So then she froze me out for half an hour, because this interrupting Needed To Be Put Into The Context Of. With grim, determined gaiety she talked only to the genericity, and I talked to “the guys”, feeling in disgrace and thinking, why should The Sex, as they'd say in the 18th century, have this extraordinary normative power, and longing to be yet older and more sexless so that, like Yeats, I might <a href="https://gratefulness.org/resource/vacillation/">escape the Lethean foliage</a>. But eventually the conversation resumed its normal form, and then we learned where the Patent Kantianism came from.<br />
<br />
Her PhD had been in Harvard, home of the, <a href="https://www.buzzfeednews.com/article/peteraldhous/jeffrey-epstein-science-donations-apologies-statements">as we now know</a>, unfortunately named <a href="https://ped.fas.harvard.edu/">PED</a>, also The Top of US philosophy and recall, please, that the power of professors in any discipline is inversely proportional to the intellectual importance of the discipline. The less the importance, the fewer the jobs, the more the power. To butter myself up with The Sex, I got on to #metoo. Then the anecdotes came out, and the Splendid Old Historian said something that seemed homophobic but it turned out we could think of it as just #metoo but gay, so we could redeem him luckily, because he was such a nice and interesting chap even if not quite <i>au fait</i> with modern manners. So The Sex put him in the bless-the-funny-old-fellow box not the unacceptable box, and as in the 18th century, their judgment is final. But I digress. It really was excellent wine. I can never sleep in hotel rooms.<br />
<br />
It turned out that Ethics in Harvard was funded by a very rich woman, called Lily Savage or something, who had allegedly not merely raped or trafficked, but actually killed her husbands, one after the other, in increasing order of wealth. (Pause to google “can you libel a dead person”, followed by “are damages increased if you check if you can libel a dead person”.) Of course this is all unfounded speculation. And she (Doc Kantian) had been a fellow at the Savage or something Center, attended parties where Lily gave speeches, drank her also doubtless excellent wine etc.<br />
<br />
Anyway, I suppose I’m still unforgiven and will become part of an anecdote about Male Academics Interrupting and, if Doc K ever returns to the US, of how In England They Are Still So Backward. I may have interrupted, but at least I didn’t take Gilded Lily’s Shilling of Killing.<br />
<br />
So, academia. You can holiday on Epstein’s island, if you’re a Top Thinker. Just be careful with your phrases, and don’t interrupt.<br />
<br />
And what influence has political philosophy had on anything since, say, Rousseau? We never got back to that question.<br />
<br />
<br />
<b>Day 3 </b><br />
<br />
<i>Morning </i><br />
<br />
Taxi to magnificent York station. In West Cornwall Pasty Company, the local kids are ordering. It's not easy. You can choose a bacon roll, a sausage roll, or a bacon and sausage roll. On Sunday before breakfast, that’s advanced combinatorics. I'm heading home to scratch <a href="https://facebook.com/gienusofroly">someone else's chin</a> for a change.<i> </i>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-47770738211452818262019-09-26T06:02:00.002+01:002019-09-26T08:02:57.731+01:00Who is an enemy of the people?<br />
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: "baskerville" , serif;">(From an argument
with old friends on Facebook.)</span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: "baskerville" , serif;">In political
debate today, a common way of arguing is to attack one’s opponent’s language by
comparing it with the language used by other bad people. This is a form of
guilt by association. You said such-and-such. X also said such-and-such. X is
bad. So you are bad.</span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: "baskerville" , serif;">For example, the
Daily Mail printed this headline in November 2016:</span></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEir4iOqPOWpIMqHY7Kw2_ZaNzK4Dxi4GMcC71aYjwJkV5K91Reb6AdWu0SBDy5wd1fvIUyvdt4LsUoIkqBUCG90Q4hgcpPLyyqI_KFgYgO1eyfixKK1pIOSbBiAvHaIvQ6oYZAY0Q/s1600/Daily_Mail_-_Enemies_of_the_People.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="295" data-original-width="220" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEir4iOqPOWpIMqHY7Kw2_ZaNzK4Dxi4GMcC71aYjwJkV5K91Reb6AdWu0SBDy5wd1fvIUyvdt4LsUoIkqBUCG90Q4hgcpPLyyqI_KFgYgO1eyfixKK1pIOSbBiAvHaIvQ6oYZAY0Q/s1600/Daily_Mail_-_Enemies_of_the_People.png" /></a></div>
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<span style="font-family: "baskerville" , serif;">This caused outrage
in high places. Some people <a href="https://www.independent.co.uk/news/media/daily-mail-nazi-propaganda-front-page-ipso-complaints-brexit-eu-enemies-of-the-people-a7409836.html">claimed
that the Mail was using Nazi language</a> to attack its political opponents.</span><span style="font-family: "baskerville" , serif;"> Was it?</span>
</div>
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<span style="font-family: "baskerville" , serif;">Well, yes. The
Nazis used “enemy of the people” – <i>Volksfeind</i> – to describe Communists
and Social Democrats, in a 1933 law which expropriated those parties (<i>Gesetz
über die Einziehung volks- und staatsfeindlichen Vermögens</i>). Later, they
used the same word for gays. </span></div>
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<br /></div>
<div class="MsoNormal">
<span style="font-family: "baskerville" , serif;">But there is more
to the history of the phrase. The people who really used it were the Soviets.
Lenin coined it (<i>Враг народа, Vrag Naroda</i>) in 1917 as a replacement for
the more common “class enemy”. It was used to condemn the Cadet party, one of
the Bolshevik’s rivals, whose leaders were arrested and shot. It came into its
own under Stalin, where “enemy of the people” covered a wide variety of cases,
including kulaks, and a denunciation as an enemy of the people was enough to
get someone deported or killed. The phrase made it into the 1936 constitution: “Persons
committing offences against public, socialist property are enemies of the
people.” The Communists seem to have used it much more than the Nazis. <i>Volksfeind</i>
appears only once in Mein Kampf, for example. In power, the Nazis preferred <i>Staatsfeind</i>
– enemy of the state.</span></div>
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<br /></div>
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<span style="font-family: "baskerville" , serif;">This hardly
exonerates the Mail. Communism under Lenin and Stalin was about as evil as Nazism.
Still, it is a bit harder to accuse the Mail of communism than of fascism.</span></div>
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<span style="font-family: "baskerville" , serif;">Let’s go further
back. </span></div>
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<div style="margin-left: 36.0pt;">
<span style="font-family: "baskerville" , serif;">In
every form of government in which the possessors of the supreme operative power
have not the great body of the people for their constituents, the situation of
every possessor of a share in the supreme operative power is that of an enemy
of the people. </span></div>
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<br /></div>
<div id="Bentham_0872-09_1630" style="margin-left: 36.0pt;">
<span style="font-family: "baskerville" , serif;">In an absolute monarchy, the situation of the monarch is
at all times that of an enemy to the people.</span></div>
<div id="Bentham_0872-09_1630" style="margin-left: 36.0pt;">
<br /></div>
<div id="Bentham_0872-09_1631" style="margin-left: 36.0pt;">
<span style="font-family: "baskerville" , serif;">In a limited monarchy, limited by representatives of the
people, spurious or genuine, the situation of the monarch is at all times that
of an enemy to the people.</span></div>
<div id="Bentham_0872-09_1631" style="margin-left: 36.0pt;">
<br /></div>
<div id="Bentham_0872-09_1632" style="margin-left: 36.0pt;">
<span style="font-family: "baskerville" , serif;">In a limited monarchy, limited by a representation of the
people, spurious or genuine, the situation of a representative of the people is
that of an enemy to the people.</span></div>
<div id="Bentham_0872-09_1632" style="margin-left: 36.0pt;">
<br /></div>
<div id="Bentham_0872-09_1633" style="margin-left: 36.0pt;">
<span style="font-family: "baskerville" , serif;">In a limited monarchy, limited by two bodies, one composed
of the representatives of the people, spurious or genuine, the other of a set
of men succeeding to one another upon the principle of genealogical succession,
(rendered thereby a perpetually existing aristocratical body,) the situation of
every member of that body is at all times that of an enemy to the people.</span></div>
<div id="Bentham_0872-09_1633" style="margin-left: 36.0pt;">
<br /></div>
<div id="Bentham_0872-09_1634" style="margin-left: 36.0pt;">
<span style="font-family: "baskerville" , serif;">A people governed in any one of all these ways, is a
people governed by its enemies.</span></div>
<div id="Bentham_0872-09_1634" style="margin-left: 36.0pt;">
<br /></div>
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<span style="font-family: "baskerville" , serif;">This is <a href="https://oll.libertyfund.org/titles/bentham-the-works-of-jeremy-bentham-vol-9-constitutional-code">Jeremy
Bentham</a>, the philosophic radical and founder of utilitarianism. </span></div>
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<br /></div>
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<span style="font-family: "baskerville" , serif;">In fact, the
phrase was most used in the 19<sup>th</sup> century by radicals and Chartists. William
Cobbett, the journalist, wrote “let anyone say what he will, if he be not for
Reform, he is the enemy of the people: and, as such ought to be considered and
treated.” Leigh Hunt, in a Parliamentary speech on education, said: “he who
would… resist every attempt to improve the moral and intellectual capacities of
the many, is not the friend but the <i>enemy of the people</i>.” William Hone
and Francis Place used it in the Reformist’s Register. So did the anonymous
author of The Rights of Nations, a Chartist tract.</span></div>
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<span style="font-family: "baskerville" , serif;">These phrases must
have frightened the establishment. But their users were hardly authoritarians.
They were fighting to extend the right to vote.</span></div>
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<span style="font-family: "baskerville" , serif;">The phrase
originated, as far as we know, in the Roman republic (<i>hostis</i> <i>publicus
– </i>public<i> </i>enemy). Its first modern use in the context of authoritarian
terror was in the French revolution. A 1794 law gave <i>ennemis du peuple</i> the
death penalty. This has the hallmarks of the classic authoritarian usage: targeting
a broad, loose category of people and an ill-defined set of offences.</span></div>
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<span style="font-family: "baskerville" , serif;">Here's an interesting sidelight: the phrase gained currency when Ibsen used it as <a href="https://en.wikipedia.org/wiki/An_Enemy_of_the_People">the title of a play</a>.
A heroic doctor publicly denounces the town spa for being unclean, and is
attacked by the townspeople for telling the truth. This sounds like another clash
between liberalism and populism. Indeed, after World War II, Arthur Miller wrote
an adaptation along these lines.</span></div>
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<span style="font-family: "baskerville" , serif;">The truth is
more complex. Miller’s rewrite concealed that the noble Doctor Stockmann was a <a href="https://en.wikipedia.org/wiki/An_Enemy_of_the_People#Adaptations">eugenicist</a>:</span></div>
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<span style="font-family: "baskerville" , serif;">The
masses are nothing but the raw material that must be fashioned into the people.
Is it not so with all other living creatures on earth? How great the difference
between a cultivated and an uncultivated breed of animals!... Don't you believe
that the brain of a poodle has developed quite differently from that of a
mongrel? ... we are
animals... there is a terrible difference between men-poodles and men-mongrels.</span></div>
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<span style="font-family: "baskerville" , serif;">In fact, a
version of <i>Ein Volksfeind</i> was <a href="https://de.wikipedia.org/wiki/Ein_Volksfeind_(1937)">filmed under the Nazis</a>.
It got a happy ending: the doctor is saved from the democratic mob by the
intervention of a minister from the central government – the new, Nazi central
government. </span></div>
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<span style="font-family: "baskerville" , serif;">So, the truth
is more complicated than the Mail’s opponents have noticed. “Enemy of the
people” was used by authoritarians to target their opponents, but also by
democrats struggling for the suffrage. And the Nazis themselves made a propaganda
film… about the dangers of unchecked populism.</span></div>
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<span style="font-family: "baskerville" , serif;">Isn’t there an
obvious way to separate the good and bad uses of this phrase? The good uses are
in the context of a people’s struggle for democratic representation against those
in power. History shows these struggles really do exist. The bad uses are by an
authoritarian state, targeting ill-defined categories of people, with a broad,
catch-all crime. That happens, too.</span></div>
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<span style="font-family: "baskerville" , serif;">There is a lesson
here about the idea of populism. This word is usually used by its opponents. Most
current definitions say something like: “populism pits the people against the elites,
and claims that some politicians truly represent the people.”</span></div>
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<span style="font-family: "baskerville" , serif;">This
definition is too broad to be useful. Basically, all democratic political
parties claim to represent the people. (Pop quiz: which party described itself,
in its manifesto, as “the political arm of none other than the British people
as a whole”? Answer: New Labour in 1997.) In fact, this notion is hard to
distinguish from the very idea of democracy, which also features politicians
who supposedly represent the people.</span></div>
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<span style="font-family: "baskerville" , serif;">Coming back to
the Mail headline, is it in the Nazi tradition? Here it is in full:</span></div>
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<span style="font-family: "baskerville" , serif;">Enemies
of the people: Fury over ‘out of touch’ judges who have ‘declared war on
democracy’ by defying 17.4m Brexit voters and who could trigger constitutional
crisis</span></div>
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<span style="font-family: "baskerville" , serif;">Whether this
is right or wrong – and its 2016 warning of constitutional crisis is not
looking too shoddy – it clearly is not the authoritarian usage. It is targeted
against a well-defined set of powerful individuals, who (it says) are opposing democracy,
not a broad minority for vaguely defined crimes. It is much more like the
Chartist usage. </span></div>
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<br /></div>
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<span style="font-family: "baskerville" , serif;">Maybe the headline
is overblown or wrong. But comparisons to the Nazis don’t make sense. What we
have in the UK is a dangerous constitutional crisis. We do not have an
authoritarian state murdering its enemies.</span></div>
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<span style="font-family: "baskerville" , serif;">The Mail was
condemned by important people like <a href="https://en.wikipedia.org/wiki/Enemies_of_the_People_(headline)#Aftermath">Lords,
bishops and MPs</a>. The accusation of Nazi language “did
the rounds”. </span><span style="font-family: "baskerville" , serif;"><span style="font-family: "baskerville" , serif;">It was widely reported. </span>Nobody seems to have checked up on it. It was easy to check up on,
thanks to Wikipedia and Google Books. People dislike being attacked in public,
and are very likely to feel persecuted – especially when they think of
themselves as high-minded, politically neutral public servants. That don’t mean
it is so. </span></div>
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<span style="font-family: "baskerville" , serif;">In short, this
accusation is itself an example of the hysteria of crowds.</span></div>
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<br /></div>
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<span style="font-family: "baskerville" , serif;">There is some
language that genuinely should not be used. Words can become a public signals
targeting others for attack. </span></div>
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<br /></div>
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<span style="font-family: "baskerville" , serif;">But in
general, we should also be wary of these arguments. They themselves involve
guilt by association: you said such-and-such; X said such-and-such; so you are
like X. This can be a lazy way to avoid the real issues. </span></div>
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<span style="font-family: "baskerville" , serif;">The real issue
raised by the Mail article, and by the recent High Court decision, is: do we now
have a conflict between democracy and the elite? Nothing here has addressed
that serious question. Dire and facile historical comparisons don’t help.</span><br />
<br />
<br />
<span style="font-family: "baskerville" , serif;"><b>Update</b></span><br />
<br />
<span style="font-family: "baskerville" , serif;">Hey, <a href="https://books.google.com/ngrams/">Google ngrams</a> is useful for this sort of thing.<b> </b></span><br />
<br />
<span style="font-family: "baskerville" , serif;"><b>Volksfeind </b></span><br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEfrMRkfhgLJQJ250gzBmiWvcJaaj9kzD_TOl3gh6taWWvlc5GCCqfa5SWFXW2jyLYq4ejXi7OWe3xA78kla_niNmxeatKimcV8Rs3GRgWFipvwjHZmRu78bB7djLNr2CeviYcxQ/s1600/Screenshot+2019-09-26+at+07.55.17.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="578" data-original-width="1600" height="228" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEfrMRkfhgLJQJ250gzBmiWvcJaaj9kzD_TOl3gh6taWWvlc5GCCqfa5SWFXW2jyLYq4ejXi7OWe3xA78kla_niNmxeatKimcV8Rs3GRgWFipvwjHZmRu78bB7djLNr2CeviYcxQ/s640/Screenshot+2019-09-26+at+07.55.17.png" width="640" /></a></div>
<br />
<span style="font-family: "baskerville" , serif;">Kicks off in the 1940s and strangely, peaks after the war. (Possibly people talking about the concept, rather than using it.)<b> </b></span><br />
<br />
<br />
<span style="font-family: "baskerville" , serif;"><b><span style="font-family: "baskerville" , serif;">Враг народа</span> </b></span><br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmqwi0oPX3JPmnUIMGvyfJ94M7uuvMX5BYExYGiAeXNpgBgA7uSFHaMGX1GYKp1-U6HullhJYpzVbsjHRe_sRRBEDzKqQ8-Iei1EX4Y5EjZVY-MC9BSfBCndOhEZLoMPX2CWUORQ/s1600/Screenshot+2019-09-26+at+07.56.04.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="585" data-original-width="1600" height="233" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmqwi0oPX3JPmnUIMGvyfJ94M7uuvMX5BYExYGiAeXNpgBgA7uSFHaMGX1GYKp1-U6HullhJYpzVbsjHRe_sRRBEDzKqQ8-Iei1EX4Y5EjZVY-MC9BSfBCndOhEZLoMPX2CWUORQ/s640/Screenshot+2019-09-26+at+07.56.04.png" width="640" /></a></div>
<br />
<br />
This is very clear and grim. Never used before 1917; a huge spike at the peak of the denunciations. Then censored until 1990.</div>
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<b>Ennemi du peuple</b></div>
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Starting in 1750 to catch the revolutionary spike. <b></b></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-6q7tBeNSNfGypWlm71x69tcss03HJ-jeUFxdMN-qej2UNueO5F7aseXyjwGBumKlLV9cQduzZQy-licBJBgAKl6GBUwyPlvqIRjrx5SE2BEsBZa47IEObh8fHb9nWcGyCLAdHg/s1600/Screenshot+2019-09-26+at+08.00.54.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="561" data-original-width="1600" height="224" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-6q7tBeNSNfGypWlm71x69tcss03HJ-jeUFxdMN-qej2UNueO5F7aseXyjwGBumKlLV9cQduzZQy-licBJBgAKl6GBUwyPlvqIRjrx5SE2BEsBZa47IEObh8fHb9nWcGyCLAdHg/s640/Screenshot+2019-09-26+at+08.00.54.png" width="640" /></a></div>
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</style>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-80079810782768216242019-03-25T17:09:00.001+00:002019-03-25T17:09:31.198+00:00Stealing the initiativeIn 2001, four American political scientists published a small book called <i>Stealing the Initiative: How State Government Responds to Direct Democracy. </i>It was a specialist title, dealing mostly with direct democratic "citizen's initiatives" (a kind of referendum) in the individual US states. But it is a useful guide for understanding UK politics since 2016.<br />
<br />
Their basic claim, stated in the introduction, is: "government actors must choose to comply with an initiative if it is to affect policy. ... We find that full compliance with initiatives is the exception, not the rule." Indeed, "[i]f... a legislative majority and the governor are united in their opposition to an initiative, then full compliance is extraordinarily unlikely – even if citizen support was high." They back this claim up with 11 case studies of California citizen's initiatives.<br />
<br />
Another insight: "to ensure greater compliance with one's winning initiative, simply write a measure that is clearer in its instructions about implementation and enforcement...." But this might be hard: "an initiative's policy consequences may be difficult to anticipate, requiring government actors to retain discretion...." And, vagueness may help you win the election, since a too specific policy might present an easy target for opponents.<br />
<br />
The other solution initiative proponents might have is "sanctions". "[Proponents] may also be able to mobilize voters... to withhold electoral... support from uncooperative elected officials".<br />
<br />
We'll see! <br />
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-25756091914080941502019-03-09T16:57:00.005+00:002019-03-09T16:57:53.839+00:00How to think about Brexit
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<a href="https://davidhughjones.blogspot.com/2019/01/inside-half-baked-establishment.html">As promised</a>. First draft. </div>
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">What kind of decision?</span></div>
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As we shall see, the economic consequences of Brexit are hard to know. The political consequences are even harder. In the end Brexit is not economic or even political, but existential. Existential decisions, like the choice to get married or pursue a particular career, are not about means and ends. They are about who we are. Still, some economic and political considerations are relevant. </div>
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I will simplify the issues into a set of binary questions. One answer favours Remain, the other Leave.
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">Bad arguments</span></div>
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First let’s clear away some weeds:
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<span style="font-style: italic; mso-bidi-font-style: normal;">The EU preserves peace in Europe</span>. NATO provides protection against Russia. The EU preserves peace by binding France and Germany together, preventing future conflict between them. This worked before Britain joined. It will keep working after we go.
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<span style="font-style: italic; mso-bidi-font-style: normal;">The referendum campaign was dishonest.</span> Worse than the average election?
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">The economics</span></div>
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Economic analyses predict large losses from Brexit. They need to include numerous effects. Trade will decrease due to tariffs and non-tariff barriers. Unfortunately, it is hard to estimate the effect of NTBs, and these are the most important for Britain, especially as it is a services economy. Immigration, firm productivity, the quality of managers, and policy changes are all possible channels. Many of these are hard to predict. Here is a randomly plucked example. The 2016 <a href="https://www.oecd-ilibrary.org/economics/the-economic-consequences-of-brexit_5jm0lsvdkf6k-en">OECD paper <span style="font-style: italic; mso-bidi-font-style: normal;">The Economic Consequences of Brexit</span></a> predicted that net migration would decrease by 50000 per year after Brexit. So far, <a href="https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/internationalmigration/bulletins/migrationstatisticsquarterlyreport/february2019">net migration has held constant<span style="font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-GB;"></span></a>.
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Work like this deserves a hearing, but involves a lot of informed guesswork, which can be wrong even over a short time horizon. (Sometimes the guesswork is hidden within complex economic models with many moving parts.) Experts are not immune to cognitive biases and motivated reasoning. Many short term predictions of disaster have not really materialized. </div>
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Beyond this, some consequences are simply inestimable. What if the Eurozone breaks up? Does Brexit make it more likely? Does it insulate us from the fallout? These questions involve <a href="https://en.wikipedia.org/wiki/Knightian_uncertainty">Knightian uncertainty</a>: nobody knows what the chances are.</div>
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So, we must each make our own judgment. Britain’s economic performance has been successful over the past forty years. Why?
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One perspective is "Hong Kong". We pushed strongly for economic freedom. As a result we grew rich. Our neighbours have been trying to copy these policies for twenty years. Germany did so in the 2000s. Italy and France have not yet succeeded. The EU bureaucracy threatens our advantage. Leaving will free us.
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Another perspective is that the EEC, later EU, was a complement to Thatcherism. It gave our firms big markets to sell to. Later, it provided cheap skilled labour, making up for the failings of UK education. The EU bureaucracy itself is now basically converted to economic liberalism, while the UK has devolved into what the Economist calls a chumocracy. All political systems eventually gum themselves up. (This is Mançur Olson’s idea in <span style="font-style: italic; mso-bidi-font-style: normal;">The</span> <span style="font-style: italic; mso-bidi-font-style: normal;">Rise and Decline of Nations</span>.) Europe is newer and fresher.
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Or you may, like Jeremy Corbyn, regret Thatcherism and look back fondly to the 1970s. If so, I cannot advise you.
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<span style="font-style: italic; mso-bidi-font-style: normal;">Economic freedom…</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Needs the right policies: remain.</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Needs a big market: leave.</span></div>
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">Banding together</span></div>
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The real reason that my <a href="https://davidhughjones.blogspot.com/2019/01/inside-half-baked-establishment.html">well-known journalist</a> supported the EU is that it enables European countries to stand together against big rivals like Russia, China, and the US. This makes sense.
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In 2007, <a href="https://en.wikipedia.org/wiki/2007_Iranian_arrest_of_Royal_Navy_personnel">Iran arrested some British marines who had strayed into their waters</a>. In the nineteenth century we would have sent a gunboat. We can no longer do that casually. Iran backed down when the EU threatened sanctions. There is strength in numbers.</div>
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The historical precedent that keeps me up at night is the fate of Italy in the Renaissance. Wealthy, culturally avant-garde, financially advanced, but politically divided, the Italian city-states were chewed up by their big neighbours France and Austria. Divide-and-rule is Putin’s strategy, so it would not be surprising if he supported the Leave campaign.
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There is an opposite worry. Progress has always taken place in times of state competition: Ancient Greece, Renaissance Italy, Europe 1600-1900. This progress has always been resolved by unification. Now we are competing at the highest level – a few global power blocs, the world of Orwell’s <i>1984</i>. Where can we go from here? Perhaps we can only preserve freedom by keeping our rulers divided and in competition. If so, then the EU needs to be kept honest by a lively rival on its border.</div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">What threatens European freedom?</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Outside powers: remain.</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">A European superstate: leave.</span></div>
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">Migration</span></div>
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The practical bite of arguments about “sovereignty” is that leaving the EU lets us control migration. Staying in prevents that. Remainers never had an answer to this point.
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It’s arguable that EU membership shifts immigration towards people that nationalists would prefer (white, European, Christian). Angela Merkel’s choice to unilaterally open borders in response to the 2016 refugee crisis killed that argument, by making it clear that European border policy could be decided in Germany. <a href="https://www.theguardian.com/politics/2016/jun/16/nigel-farage-defends-ukip-breaking-point-poster-queue-of-migrants">That Leave.EU billboard</a> was maybe nasty, but it pinpointed the issue. Merkel’s decision probably lost the referendum.
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The economic case for free migration is fairly clear. The cultural case against it depends on many intangibles. There’s evidence that heterogenous communities find it harder to work together to provide public goods and control politicians. On the other hand, maybe good enough institutions can successfully integrate people from all over Europe.
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<span style="font-style: italic; mso-bidi-font-style: normal;">What matters most to economics and politics?</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Institutions: remain.</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Culture: leave.</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;"> </span></div>
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">Democracy</span></div>
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Everyone in the original debate was clear that a vote to leave would be implemented. The EU has form in asking people twice when it doesn’t get the right answer.
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Democracy came into Europe in the era of mass armies:
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... it was the philosophers who first told stories to the people…. First up, may everyone know how to read the newspapers! It’s healthy! By God! And quick! No more illiterates! They’re not needed! Nothing but citizen-soldiers! Who vote! Who read! Who fight! Who march! Who blow kisses!.... And that was the send-off for the first battalions of the frenzied emancipated! The first of the voting, flag-waving sods that Dumouriez led off to get shot up in Flanders. </div>
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Céline </div>
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As payback, the mobilized masses had to be <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1136202">given control</a>. That era is past. It is not clear how the majority can enforce its will, when the rest of the system – the civil servants, political players, owners and managers of capital – is against it. Brexit is a test of strength.
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Recent years have seen a decline in democracy, and even worries about its future in advanced Western democracies. These worries usually refer to Weimar Germany and other cases where demagogues have taken over. More likely, democracy will end not with a bang but a whimper. Walter <a href="https://en.wikipedia.org/wiki/The_English_Constitution">Walter Bagehot said that political systems contained two parts</a>. The dignified part looks good, while the efficient part is where policy is really decided. We may be moving towards a system where democracy and parliament are the dignified part, enacting the people’s will on trivial matters, while real decisions take place elsewhere. A second referendum would be a step towards that.
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<span style="font-weight: bold; mso-bidi-font-weight: normal;">Who are we?</span></div>
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I have been puzzled to see young people marching and waving European flags. How do they think about the fact that they are marching to overturn a democratic decision? Perhaps they tell themselves that the referendum was stolen because the ignorant masses were duped.
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Two visions are at war. One is of national democracy. The other is a post-democratic liberal arena. This goes beyond economic efficiency. The democratic vision goes back to the political struggles of the nineteenth century. It is part of us.
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But it may be passing. In 1837, Thomas Carlyle thought it would last
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<span style="font-family: "Times New Roman"; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-GB;">Two centuries; hardly less; before Democracy go through its due, most baleful, stages of Quackocracy; and a pestilential World be burnt up, and have begun to grow green and young again.</span></div>
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Democracy fails in predictable ways. Voters have little incentive to study the issues deeply. Politicians may ignore the long term in favour of the here and now. Delegation to bureaucrats might help with that. So might federalism. The world’s longest-lasting democracy is a federation of states, with many powers reserved to the members. This preserves the freedom of people and capital to move away from inefficient local governments. </div>
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The counter-argument is that a democracy requires a nation, with a sense of shared interest and a common future. Free mobility erodes that: as the economist Albert Hirschman said, the availability of exit can atrophy the art of voice.</div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Who are we?</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">Post-national liberals? Remain.</span></div>
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<span style="font-style: italic; mso-bidi-font-style: normal;">National democrats? Leave.</span></div>
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-26935656435179720212019-01-13T16:11:00.001+00:002019-01-13T22:46:04.789+00:00Inside the incompletely-baked establishment conspiracy to foil Brexit<br />
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I got invited to a mini conference in Oxford, run by <span style="font-style: italic; mso-bidi-font-style: normal;">an important German research institution</span>. Speakers included <span style="font-style: italic; mso-bidi-font-style: normal;">a historian who often writes on Europe in the newspapers</span>. I am protecting myself with this thin layer of anonymity so as to bite the hand that feeds me.
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The first day was International Relations theory, genus: high patrician. The ratio of verbiage to assertion was high.<span style="mso-spacerun: yes;"> </span> One speaker talked a lot about <span style="font-style: italic; mso-bidi-font-style: normal;">the global</span>. When adjectives are used as nouns, the wise man starts organizing his email. Another verbal tic is plurals on everything. Academics love plurals because they help divide up the grant money. Sure enough, soon someone suggested “contestations of the scripts of liberalisms”, as an improvement on “contestation of the liberal script”.<br />
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At dinner the conversation got more concrete. Everyone was talking about… oh, guess. As background, think panelled oak, candlelight, glasses of red and white; young academics, dressed to impress in jackets, quiffs and trousers; older chaps with accents and mannerisms from a world I thought long vanished. A former ambassador type person got on his hind legs. He started his speech with a quotation. “No man is an island, entire of itself.” I think it’s by Stormzy.<br />
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So then the historian-who-often-writes got up and corrected his quotation for him.<br />
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<iframe allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/nrdsIxelE2M?start=61" width="560"></iframe>
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Basically, imagine a parody of the British establishment conspiring, produced by Russia Today.
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Later the historian himself made a speech. Just a few details remain (the wine was good):
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13,000 letters* have gone in to Corbyn, persuading him to move.
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“Write to all the MPs you know”.
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During the campaign, Europeans will have to “love bomb” the UK – even though we’ve been very silly.
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He thinks the Brexiteers will use the slogan “tell them again”. He wants a good counter-slogan, maybe “you didn’t vote to be poor”.
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And having a narrative will be key. (Grammar of political persuasion: they spread fake news; you spin; we have a narrative.) The ambassador suggested “it’s like buying a house, you don’t sign off until you’ve done the survey”. I said I wasn’t sure how relatable that would be in Grimsby. He stared crossly at his drink.
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Tony Blair is on board, but nobody’s going to listen to his arguments. The best figurehead, he thought, would be John Major.
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As people ask at the end of conferences, what have we learned?
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There really is an Establishment;
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They really do want to thwart the people’s will;
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They’re clueless.
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The third point is important. Somewhere inside, left over from childhood, <span style="mso-spacerun: yes;"> </span>I must have been holding the belief that there is someone in charge who know’s what best. This dinner killed that for me. These guys are the ultimate insiders… yet, they have no more expertise or wisdom on the topic than, say, the Big Issue seller who told me the day after the referendum that capital-T They would “never let it happen”. (“I think you’ll find they will,” I replied, strong in my democratic faith.)
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The arguments I heard were entirely conventional. These being polisci people, they were mainly of the preserve-the-peace-in-Europe variety. The mournful consensus was that this argument was hard to convey to a generation that grew up with the blessings of peace.<br />
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Or maybe it is just not very compelling. What is the story which convincingly takes us from Britain exiting the EU to war in Europe? Does Germany invade France again? But those guys are staying in the EU, right?
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There was no sense of the risks from the point of view of democracy. The historian suggested having a three-pronged referendum: no deal, May’s deal, stay in. I pointed out that three-option votes are shady from a democratic perspective – they split the opposition and induce strategic voting. Someone said, “I don’t see why we can’t use the Single Transferable Vote”.
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Sounds optimal.
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Hearing Tony Blair’s name took me back to 2003. I read in his memoirs about why he supported the Iraq war. It was an argument about needing to keep the Western alliance together. It was too subtle for the masses, but he saw! He could see further than anyone else! So he supported Bush, and we went to war, and now we know how that worked out for the Western alliance.</div>
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These guys think the same way. They think they’re the shepherds. They need to recall the flock from the error of its ways.
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I haven’t said anything about the substantive issues of Brexit. I will try to do so soon. Preview: they’re huge, long-run, unfathomable. But political scientists talk about the authority heuristic, which is a fancy way of saying that voters follow the judgment of experts they trust. We all need and use that heuristic, in this murky world. We’d all like to find someone to trust.
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These people want to fill those shoes. But they can’t be trusted, because they don't know any more than the rest of us poor fools.
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* Letters, yes.<br />
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<b>Update:</b> tweaked style, jokes, slightly more polite. I forgot to mention the very kind lady who paid my hotel bill when I couldn't because the *☠️😖* admin haven't reimbursed me for last month's workshop yet. Or that the next night saw me eating Mickey D's in Westfield Stratford City, waiting for my bus home, for the same reason. Ah, the contrasts that make life such a story.</div>
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davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-89151804176046360722019-01-03T12:53:00.000+00:002019-01-05T18:40:56.061+00:00On racismI wrote <a href="https://davidhughjones.blogspot.com/2018/03/on-race.html">a blog post on the concept of race</a>, and I promised to write another one on racism. Here it is, long overdue.<br />
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Racism is easier to recognize in the flesh than to define. We know it when we see it, but its boundaries are hard to draw. Today it seems to be one of society’s master concepts – partly because it is so contested. On the one hand, we have the Guardian talking about microaggressions and unconscious bias. On the other hand, serious people are writing books <a href="https://www.thetimes.co.uk/article/review-whiteshift-populism-immigration-and-the-future-of-white-majorities-by-eric-kaufmann-the-future-of-mixed-race-britain-9ckc6wbl6">defending white ethnic identity</a>, and asking how much to concede to the popular backlash against immigration. Perhaps thinking about the concept of racism can throw light on this process. <br />
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The idea of racism is woven from three different strands:<br />
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A. The history of colonialism, the encounter of white Europeans with other peoples, the ideas they developed about them; the development of European empires and the influence of Darwinism. In this aspect racism is <i>white people’s superiority complex</i>.<br />
B. Racism can simply mean <i>the belief that races are different</i> – usually, biologically different – in some non-trivial way.<br />
C. Racism can be defined by <i>a set of attitudes and behaviours</i> which range from hatred, aggression and genocide, through prejudice and discrimination, down to simply having different mental associations about different races, perhaps without conscious thought.<br />
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The power of the racism concept lay in putting these three things together. It developed after the Second World War. The Nazis came out of a background of A; explicitly held B; and implemented C in its most evil form, by targeting minorities for murder. Racism was a shorthand for the whole complex. Intellectuals in the US recognized that all of A-C extended beyond Nazi Germany; they found a home, too, in America, especially in the segregated South. This background strengthened the emerging civil rights movement in the 1960s. Since then, as the rest of the world has got richer relative to Europe, America, and other countries of mostly white people; and as immigration to those countries has made them more diverse; anti-racism has continued to be the left wing’s strongest moral suit, as well as a guarantee of being on the right side of history. <br />
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A, B and C do not always go together. My post on race argued that B and C are separate issues. A and C are separate, too. Hutus murdering Tutsis, violence against Zimbabwean immigrants in South African townships, or the Burmese assault on the Rohingya make it clear that non-white people can murder outgroups with as much enthusisasm as white people. You can rescue the association if you say that by definition, only whites can be racist. <a href="https://www.vice.com/en_us/article/kwzjvz/dear-white-people-please-stop-pretending-reverse-racism-is-real">Some people have tried to make this argument</a>. But it is just implausible. What the Burmese army has done to the Rohingya looks like a duck and quacks like a duck (and after her Nobel Prize, Aung San Suu Kyi <a href="https://en.wikipedia.org/wiki/Milkshake_Duck">drinks milkshake like a duck</a>). If we don’t call it racism, we will just need to invent a new word for evil behaviour to ethnic outgroups.<br />
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For that matter, there need not be a link between A and B. In some sense, clearly, race is a concept which develops in 19th century European science and thought. But the broader idea of differentiating and categorizing people based on their tribe or where they come from may simply be part of human mental furniture. The Ancient Greeks called outsiders barbaroi – barbarians – supposedly meaning people who, since they couldn’t speak Greek, simply bleated nonsense like sheep. (Of course, really, the Greeks understood perfectly well that other languages existed.) Many human groups simply refer to themselves as “people”. <br />
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As time moves on, and the eras of first European, then American global dominance fade and recede, the spotlight is focusing more on C. Correspondingly, antiracism will become less about dismantling entrenched power structures, because so many of them have indeed been dismantled. Instead, antiracism will focus on individual behaviours and attitudes, on C – and it will become more top-down. (You can avoid this conclusion, so long as capitalism continues to exist, if you argue that capitalism itself is the ultimate power structure and is also inherently racist. I don’t find that plausible, and it will become less plausible as many non-European nations get rich.) The confusion between A and C lets people in authority think of themselves as freedom fighters, whilst in fact they are regulating and monitoring the behaviour of less powerful others.<br />
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Indeed this is happening. A cornerstone of modern racism is the idea of unconscious bias, motivated by a powerful psychological experiment called the Implicit Association Test or IAT. You can take this test at <a href="http://implicit.harvard.edu/">implicit.harvard.edu</a>. The IAT uses reaction times to measure how strongly we associate different concepts. This is a test you can’t fool just because you want to sound, or even be, non-racist. It has been a huge hit, generating reams of controversy, an industry promising to improve your unconscious bias, and several competing metaanalyses. It has even entered Artificial Intelligence as a yardstick for judging how computers can learn certain kinds of prejudice. Today, psychology provides a dominant interpretation of racism, as it does for so many other concepts.<br />
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A second strand of thought looks at how we talk and think about outgroups. The keyword is “the Other”, which has now been verbed: people think of outsiders as Other, and they “other” them in the ways they talk about them.<br />
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Through these spectacles, racism is mundane and pervasive. Everyone does it a little bit. <br />
And it is within ourselves: as George Orwell says, it is a noxious plant that we must diligently weed out from our minds.<br />
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This is a powerful, intuitive perspective. Haven’t we all felt afraid of outsiders? Don’t we all try to quell or overcome our prejudices? But it depends crucially on the claim that these mundane behaviours are indeed related to more serious forms of prejudice – say, discriminating against job applicants. <br />
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For the IAT, there is some evidence that this may be true, but <a href="https://www.thecut.com/2017/01/psychologys-racism-measuring-tool-isnt-up-to-the-job.html">not really enough to be persuasive</a>. At best, the jury is still out on whether “everyday” implicit bias links to the important differences in outcomes that we see between ethnic groups. <br />
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Similarly, while we know that hate speech can help propel genocide – for example, <a href="https://dash.harvard.edu/bitstream/handle/1/13457754/RwandaDYD.pdf?sequence=1">hate radio helped do so in Rwanda</a> – we cannot be so sure about the effect of everyday ways that people talk about other ethnic groups. Indeed, the very idea of “othering” has unclear boundaries. Does it include using the word “they” to describe an outgroup?<br />
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If these kinds of pervasive behaviour are not actually linked to real discrimination, then I foresee a problem in describing them as racism. <br />
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We all have two sides in us. One side wants to seek out and experience new things. Another side prefers what is safe and familiar. Different people have these sides to different degrees; they are captured by Openness, one of the Big Five dimensions of human personality. These two sides may even be rooted in biology – in how animals resolve the conflict between approach and avoidance, for example. In a big, multicultural society, openness is good to have: it correlates with <a href="https://en.wikipedia.org/wiki/Openness_to_experience">intelligence</a> and <a href="http://anon-ftp.iza.org/dp1254.pdf">income</a>, for example.<br />
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But we all also have the other side; we want to stick with what we know. And this too has a positive aspect: it coincides with what we appreciate more deeply. It is the sense of home. Familiar environments are not just emotionally satisfying. They also enable deeper communication. It is wrong to think that because somebody is from my own culture, I have nothing to learn from them. In fact, shared culture enables deeper communication. At the most basic level, we need some shared language to communicate at all. Beyond that, shared cultural reference points act as a shorthand. I spend much of my time speaking global English – “Globish” – with academic colleagues from all over the world. But when I talk to somebody who shares elements of my own culture – the English middle class – I can communicate in a different way. <a href="https://www.telegraph.co.uk/news/2016/06/29/how-sarah-vine-outed-herself-as-the-lady-macbeth-of-the-leave-ca/">Calling a politician’s wife Lady Macbeth</a>, for instance, carries a set of implications that would take paragraphs to spell out explicitly.<br />
<br />
In fact, these two sides are complementary. Openness lets us appreciate and learn from other people’s languages, customs and cultures. Those languages and customs are different from our own, because they developed separately, over many centuries, among people who preferentially interacted with others like themselves. <br />
<br />
It is not a good idea to lump the human preference for familiarity and safety, with the inhuman extremes of race hatred. We all have that tendency. Some have it more than others. Those who have it more tend to do less well in modern society; <a href="https://pdfs.semanticscholar.org/ea52/7f69aa518735cdb4ff38807b56551b655da8.pdf">to stay near home and family rather than moving to opportunity</a>. They are the “somewheres”, in David Goodhart’s phrase. Modern anti-racist discourse, with its very broad definition of its object, risks treating these people as primitive beings who are unable to appreciate diversity, or worse still, as incipient fascists. That is unjust. It is also politically unwise, because it is may push people into the arms of genuine racists – who at least, from their point of view, show them some respect.<br />
<br />
Next, a post about sexism... hopefully within the year.<br />
<br />
<br />davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-70602286190935826812018-06-08T22:54:00.004+01:002018-06-08T22:54:53.577+01:00I read Rachel Cusk's Outline trilogy
<br />
<div class="standard" id="magicparlabel-440778">
In three days. I got the first book three days ago and read it that evening, ordered the second one and read it the next day, ordered the third, got it two days later and read it that evening. (Thanks, Amazon Prime. I had to buy the hardback, but I couldn't wait.)</div>
<div class="standard" id="magicparlabel-440779">
It is very serious art, and unabashedly highbrow. I don’t follow the literary world, but I have a vague sense that there has been a backlash against high-faluting “literature” and in favour of genres and what would have previously been thought middlebrow. These books do not partake in that. There is very little plot, no dramatic events, just one conversation after another. And almost all the conversations are extremely intense: self-aware people dissecting their lives and relationships with the expertise of a sushi chef and the passion of a flagellant.</div>
<div class="standard" id="magicparlabel-440780">
Reading it is unnerving. The narrator – Faye, a female author doing the rounds of writing courses and literary festivals – talks to other people, or listens to their monologues. They talk about the deepest things in their lives. Other characters are pinned down like butterflies, sketched in a few strokes of extreme skill. Everything is implicit. Neither Faye nor the author – it's in the first person, so the distinction perhaps does not matter – often expresses an opinion. </div>
<div class="standard" id="magicparlabel-440780">
But, like Tom Cruise’s pick-up guru in Magnolia, Faye is “quietly judging you”. Family, and divorce, are pervasive in the conversations; everyone has behaved badly, but few want to admit it. Children, even when they are annoying or burdensome, come across as sinned against, not sinning. Freedom is weighed against commitment and it almost always comes out worse, or at least as a let-down; people are at their wickedest and stupidest when they exercise power thoughtlessly. As a child of divorce, I liked the books very much. But I was also troubled and provoked by them, because the narrator, and I guess the author, is a feminist, in some sense, which I am not. (There is plenty of mansplaining, and some atrocious behaviour by entitled guys; and sometimes that feeling of a conversational elephant-trap being laid as a man is allowed to talk himself into a corner.)
</div>
<div class="standard" id="magicparlabel-440782">
In Virginia Woolf’s <i>To The Lighthouse</i>, there is a chapter after the Great War when the cast reassembles, and the author suggests almost playfully that the values they hold should not really be taken seriously; as if the great comedy of the Victorian age, and its literature, can no longer be played straight. Reading Outline felt as if I was rewinding through that historical moment. </div>
<div class="standard" id="magicparlabel-440783">
Nineteenth-century literature was explicitly judgmental. Dickens and Thackeray, for all their subtleties and play, saw wickedness and called it; and showed it in its harshest colours. And then that earnestness quite quickly vanished. Why? </div>
<div class="standard" id="magicparlabel-440784">
A superficial answer is the rule of craft that says <i>show, don’t tell</i>. I think a deeper answer is that after the Edwardians, moral judgment got mixed up with aesthetic judgment, judgment of taste; and English judgments of taste, since (I guess?) the eighteenth century, have been made in silence and in code. You couldn’t say that someone was explicitly inferior; but you could imply it to those in the know, with a raised eyebrow. </div>
<div class="standard" id="magicparlabel-440785">
One danger of this is passive-aggressiveness. I talked to somebody about On Chesil Beach and she asked if I had noticed that the heroine had been sexually abused. And I have heard about literature classes being told the same thing. “Did you spot that? Well done – you are aesthetically and morally sensitive – alive to other people’s hidden sufferings.” But if I was supposed to spot it, why didn’t Ian McEwan make sure I did? What is this, a cryptic crossword?</div>
<div class="standard" id="magicparlabel-440786">
And in fact, where Faye does speak up and give her own opinions, she seems both warmer and braver. She lays it on the line. </div>
<div class="standard" id="magicparlabel-440787">
About her we learn very little. She starts the trilogy after her own divorce, and has remarried by the third book. Occasionally her children call. These conversations are very different from the others. There’s less indirect narration, and more ordinariness. These, along with the narrator’s own talk, are the warmest parts of the book. It’s as if she and the reader can suddenly breathe out.</div>
<div class="standard" id="magicparlabel-440788">
At the very end, the narrator is bathing in the sea when a man comes to the water’s edge and pisses in it. She watches his “merry, cruel face… and I waited for him to stop.” It’s a scene out of myth – the sighing breast of the sea, and the grinning Satyr. But I don’t know whether Rachel Cusk thinks of it really as myth, or as a piece of history, which could be brought to an end somehow.</div>
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</style>davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-16674660044642542672018-04-15T23:00:00.001+01:002018-04-15T23:02:52.167+01:00The House of Government and the relative nobility of communism<br />
Robert Conquest, the poet and deeply anti-communist historian of the Soviet Union, thought that fascism was worse than communism. Asked why, <a href="https://www.wsj.com/articles/SB117046575187596976">he replied just "I feel it to be so"</a>. Perhaps the feeling is that communism was a noble cause that went wrong, whereas fascism never had anything noble about it. Anyway, reading <a href="https://www.amazon.co.uk/House-Government-Saga-Russian-Revolution/dp/0691176949/">The House of Government</a> made me question that idea.<br />
<br />
It is a huge, brilliant book about the inhabitants of one house in Moscow – a purpose-built creation designed to house the elite of the new regime, and inhabited by the Old Bolsheviks, who had made the revolution and fought the civil war against the Whites. The Old Bolsheviks certainly have something of the nobility of an old-time religion: they start the book under Tsarism, holding secret meetings by gaslight, or exiled to Siberia. And the book itself takes the communism-religion analogy very seriously, drawing comparisons from early Christianity, early Puritanism, and the <a href="https://en.wikipedia.org/wiki/Great_Disappointment">Great Disappointment</a> of the US Millerite sect.<br />
<br />
But before admiring devotion to a cause, we need to know the cause's nature. An especial wickedness of communism, which it shared with fascism, was that it deliberately endorsed and encouraged hatred and cruelty against the enemy. For example, here is a passage from <i>The</i> <i>Iron Flood</i>, a civil war novel, in which the heroes take a Cossack town:<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyWde9U3b_lRqQCkv4v-cUFp_x98jxZ3YLc8PG5DDCslND1nmp1AJU_clUhLni5ZYCPvaeLlJC9AlHd6fDDZowuFQrvjX-Wj0IhNMZzTt_yXCrT3Xriu7GRHbOCnGzajI2d2-Lwg/s1600/Screen+Shot+2018-04-15+at+22.18.15.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="229" data-original-width="416" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyWde9U3b_lRqQCkv4v-cUFp_x98jxZ3YLc8PG5DDCslND1nmp1AJU_clUhLni5ZYCPvaeLlJC9AlHd6fDDZowuFQrvjX-Wj0IhNMZzTt_yXCrT3Xriu7GRHbOCnGzajI2d2-Lwg/s1600/Screen+Shot+2018-04-15+at+22.18.15.png" /></a></div>
<br />
Note that this is not an underground or marginal text. It was a set text in schools until the end of the Soviet period. It is not atypical either. In the civil war, merciless killing of men, women and children was endorsed in reality as well as novels. To be merciless and brutal, since mercilessness and brutality were
necessary, was a mark of moral strength and hardness. Stalin meant "man
of steel". The Bolsheviks were the first people to favour the
tough-looking leather jacket.<br />
<br />
The catalyst for this evil was surely the brutality of the conflict, but it must also have had roots in Karl Marx's crisp analysis of conventional morality. Bourgeois morality was part of the bourgeois economic system: talk of human rights or humanist values was claptrap when most of humanity was enslaved. The only morality was to do whatever furthered the revolution. Then again, perhaps communism was simply of its time. The same worship
of strength can be found in Kipling, say; expressed more subtly, in
Nietzsche; later, in fascism. The result, in any case, was that Bolshevist communism became a death cult. <br />
<br />
Some of the behaviour patterns are still with us. The bilious twitter monkeys of the extreme Left, for whom abuse and hatred are both tactics and habits, are more or less conscious followers of this Bolshevik tradition. Luckily, as of today they remain safely confined to the zoo. <br />
<br />
<br />
<br />davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-76095513178962233102018-04-08T13:23:00.002+01:002018-04-08T13:26:15.786+01:00Vague theories: a defence<br />
Most scientists believe that vagueness is bad in a scientific theory. In fact, if it’s vague, it cannot really be a theory at all. At the hard end of the social sciences, economists insist that theories should be formalized in the crisp language of mathematics. Even in softer-edged disciplines, which often get accused of vagueness and waffle, very few people defend vagueness explicitly. Instead, they use arguments about the meaning-ladenness of human action, or the holistic interconnectedness of the social world, to argue that social science should aim for understanding rather than explanation. But understanding is still meant to be clear.<br />
<br />
Actually, mathematics is not enough to avoid vagueness, as Paul Romer has pointed out in a <a href="https://paulromer.net/wp-content/uploads/2015/05/Mathiness.pdf">controversial article on “mathiness” in the theory of economic growth</a>. Mathiness is a word coined on the analogy of the Daily Show’s “truthiness”: when something “feels true in your gut” rather than actually being true. Mathy economic theories have a valid mathematical argument in their model, but the connections between the maths and reality are vague or ill-defined:<br />
<blockquote class="tr_bq">
<i>McGrattan and Prescott (2010) establish loose links between a word with no meaning and new mathematical results.</i></blockquote>
<blockquote class="tr_bq">
<i>Boldrin and Levine (2008) make broad verbal claims that are disconnected from any formal analysis.</i></blockquote>
This suggests a puzzle. If the words and verbal claims in a theory must be connected via tight links to a formal analysis and mathematical results, why aren’t they part of the mathematics themselves? If economists build models because ordinary language is imprecise, then why is <i>any</i> ordinary language allowed?<br />
<br />
Having sown these seeds of doubt, I will present three examples, and a bonus fourth, of theories that are vague but useful. I am not arguing that vagueness is a theoretical virtue. Instead, it is a disadvantage that must be traded off against competing values, such as relevance. Also, perhaps, the tradeoff approaches infinity as vagueness goes to zero: a perfectly defined theory would be a theorem in pure mathematics, with no relationship to the world; insofar as it connects to the world, it has to be a bit vague.<br />
<br />
<h3>
Theory 1: watch out for that truck!</h3>
<h3>
</h3>
This is a very simple theory. Its usefulness, if you are about to step into the road, should be obvious. But it is vague, because a key term is not precisely defined. What exactly is a truck? When does a van become a truck? Even <a href="http://semi-madman.blogspot.co.uk/2017/03/what-is-this-truck-van-van-truck-vruck.html">people from Texas aren’t sure</a>.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5bvxa-aCzbU0MtDcr671Af9sGhSHZ6ZO9wluGiOmyaLFNb1qAnPRx6LMrWXJCtFQNBPYdd_zlo6mfcG54n7th0OmfnMjsMHQsBtb84qgYclOsMHN0iqAXMyU_LvfnDf8oN7jcSg/s1600/at+a+texas+walmart.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="360" data-original-width="640" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5bvxa-aCzbU0MtDcr671Af9sGhSHZ6ZO9wluGiOmyaLFNb1qAnPRx6LMrWXJCtFQNBPYdd_zlo6mfcG54n7th0OmfnMjsMHQsBtb84qgYclOsMHN0iqAXMyU_LvfnDf8oN7jcSg/s400/at+a+texas+walmart.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Van? Truck? Vruck?</td></tr>
</tbody></table>
<br />
<br />
<h3>
Theory 2: Western societies are threatened by Islamic terrorism</h3>
<h3>
</h3>
This theory could be true or false. It is perfectly legitimate to argue that terrorism’s threat to the West is manufactured, or hyped, by the warmongers in power. But the theory is at least worth arguing over. After the Twin Towers attack, Western societies needed to decide what to do, which involved making judgments about this theory. Yet the theory is clearly vague. There is no clear uncontested definition of terrorism, or of “Islamic” terror. (Is it Islamic terror when a small-time drug dealer or mentally unstable loser decides to ram a van into some people, after posting some Islamic-tinged rants on Facebook?) Or of “threat”. Or of “societies”. Or of “Western”. A lot of the debate about this theory consists in making terms more precise. But you have to start somewhere.<br />
<br />
<h3>
Theory 3: fluxions</h3>
<h3>
</h3>
Modern science, with its mathematical basis, was kickstarted by the enormous prestige of Isaac Newton’s theory of gravity. Under that theory lay his advanced mathematics, in particular his <a href="http://www.math.wpi.edu/IQP/BVCalcHist/calc2.html">development of the mathematical derivative</a> – he famously fought Leibniz over priority on the topic. <br />
<br />
The derivative can be loosely defined as the slope of a function. Awkwardly, its precise definition was not clarified until 150 years after Newton wrote. In particular, the idea of a slope at a point involves the idea of a “limit”, which was finally explained by <a href="https://en.wikipedia.org/wiki/Karl_Weierstrass">Bolzano and Weierstrass</a> in the 19th century. <br />
<br />
For the first half of its history, Newton’s theory, the key theory underpinning the development of modern science, was vague, meaning not that it had an uncertain real world referent à la “truck”, but that we could not even explain clearly what a key term meant. <a href="https://en.wikipedia.org/wiki/History_of_calculus#Newton">Newton recognized this explicitly</a> and was uncomfortable enough to write a book about it.<br />
<br />
<h3>
Bonus Theory 4: the truth shall set you free</h3>
<h3>
</h3>
This is a saying attributed to Jesus. The actual quote, from John 8:32 in the King James Version, is: “And ye shall know the truth, and the truth shall make you free.”<br />
<br />
The theory is frankly obscure. But it would be hard to say that it has not been influential. It may be that with respect to it, we are in the position of eighteenth-century mathematicians with respect to the calculus. It is a theory that seems important, but we cannot explain why.<br />
<br />
I'll finish by quoting Edmund Burke's catchily-named<i> A Philosophical Enquiry into the Origin of Our Ideas of the Sublime and Beautiful</i>. The argument in this remark seems superficial, but I think a deeper point is lurking there.<br />
<blockquote class="tr_bq">
<i>But let it be considered that hardly anything can strike the mind with its greatness, which does not make some sort of approach towards infinity; which nothing can do whilst we are able to perceive its bounds; but to see an object distinctly, and to perceive its bounds, is one and the same thing. A clear idea is therefore another name for a little idea.</i></blockquote>
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-30252888837094941532018-03-30T15:23:00.000+01:002018-03-31T13:53:11.547+01:00On race<br />
Where Left wing economic ideas have been in eclipse for half a century, their social ideas have been hugely successful in changing attitudes, and backing up those changes with institutions. This is the first of three essays which take stock of this social agenda. They will focus in turn on three defining enemies of the post-1960s "equality agenda": racism, sexism and homophobia.<br />
<br />
<h2>
<span style="font-weight: normal;">
Race</span></h2>
<br />
The modern anti-racist impulse came from the discovery of Nazi crimes in Europe. Ideas of innate racial differences had served to justify Nazi racial hatred. Back home, Americans found the same ideas supporting the segregation of the Jim Crow South. In the struggle to change this and similar systems, the word racism came to cover two concepts:<br />
<ol>
<li>A belief in innate, natural differences between racial groups. </li>
<li>Hatred, prejudice and discrimination against other races.</li>
</ol>
Racists believed (1), and their belief was caused by, and served to justify, (2), so it was natural to name a single syndrome for both aspects. <br />
<br />
This concept leads people to think that if (1) is true, then (2) is justifiable. This seems to be agreed by both racists and anti-racists. <br />
<br />
The problem is that (1) – let's call it the "natural differences" hypothesis – is an empirical claim about the world. It might have turned out to be false. It still may turn out to be basically false. But as time goes on, that is looking less likely. To explain this, I need to talk about the science of race and ethnicity. I claim no deep expertise in genetics. But I do know a bit about both genetics and about the social science of ethnicity, which I hope gives me some standing to discuss both.<br />
<br />
<h2>
<span style="font-weight: normal;">
The genetics and social science of races</span></h2>
<br />
First, racial groups are a kind of ethnic group, and ethnic groups are best seen as political identities. Being, say, white or Hispanic in the US is more like supporting a football team than like being tall or short-sighted. It is an identity sometimes chosen by ourselves, sometimes imposed on us by others. There are many examples of ethnic identities changing with political circumstances. For instance, the US census used to ask people if they were white or black; it now asks if people are white, black or Hispanic. The reason is that with greater immigration from Latin America, being Hispanic became a salient political identity in the US. Politicians campaigned for the Hispanic vote, and Hispanic people worked together to support shared interests. There are similar cases in Africa, where <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/j.1540-5907.2010.00443.x">tribal identities are shifted by the demands of politics</a>.<br />
<br />
Ethnic group identities are ascribed by descent – you get them from your parents. Racial groups are a particular subset of ethnic groups where the “badges” that categorize people include natural characteristics like skin colour, which relate to relatively long-run differences in ancestry. These characteristics often vary continuously, and people may spend a lot of effort policing the boundaries of the group: 19th century America had a whole terminology of “quadroon” and “octoroon” to describe different mixes of black and white ancestry.<br />
<br />
Nevertheless, while the categorization is social, the characteristics are natural and inherited. This means that the natural characteristics which place you into an ethnic group correlate with your ancestry, which in turn correlates with other genetic differences. There are some well-known examples: people of African descent are more likely to carry a genetic variant putting them at risk of sickle cell disease; there are similar cases for Ashkenazi Jews, who went through a small population bottleneck in the first millennium AD. <br />
<br />
They might also correlate with genetic differences that cause important psychological characteristics. As twin studies show, almost all psychological characteristics are partly genetic: that is, differences in two individuals’ characteristics partly reflect differences in their DNA. So, there could be differences between racial groups on any of these characteristics. <br />
<br />
“Could be:” there’s the rub. We don’t know yet. As is often said, the fact that inter-individual differences have a genetic basis does not imply that intergroup differences are. But that works both ways: the fact that inter-individual differences are partly environmental, equally, does not prove that intergroup differences are environmental. <br />
<br />
So, with all this data, why can’t we find out? It turns out that resolving the question is harder than it sounds.<br />
<br />
<h2>
<span style="font-weight: normal;">
What we don’t yet know</span></h2>
<br />
First of all, you can’t just gather a sample of different ethnic groups, test for genetic variant X, and see how this correlates with your psychological or social outcome of interest. To see why not, try a thought experiment. Take a genetic variant for dark skin. Now, let’s sample the whole US population and test whether this variant affects people’s income. Surprise! It has a large effect. Have we discovered a pathway from the gene to the brain’s famous money-making centre – the nucleus Wallstreeticus? Nope. I told you, by hypothesis, the gene only affects skin colour. Of course, people with this gene are more likely to be black; and black people in the US have less income on average; so our gene is associated with lower income. But we knew that already. There is gene-environment correlation. That tells us zilch about causation. <br />
<br />
This problem has led geneticists to focus within populations, rather than between them, in their hunt for causal variants. Mostly, they look at white people. Even among white people, they try to control for broad ancestral differences. The most extreme version of this is to look within siblings from the same family. This way you can identify the true effect of a given variant, because genes are handed out randomly from parents to children. <br />
<br />
But now we have a second problem: the effect may be different among different ethnic groups. A variant which makes white people taller may not do the same for black people: first because different bits of DNA interact to build a human, and white and black people’s DNA differs on average; second, because DNA takes effect in a social environment, and ethnic groups are exposed to different environments. <br />
<br />
This means that while we know a lot, and are learning fast, about what genes affect what individual outcomes, we are much less sure if the effects are the same between ethnic groups. <br />
<br />
But we will inevitably learn – unless we decide to only do “white people genetics”, which would be a terrible idea medically and scientifically. And once we can estimate the effects of variant X in different ethnic groups, we can ask counterfactuals like “what if this group had the same proportion of variant X as this other group?” Or in other words, how much does a given gene contribute to intergroup differences? <br />
<br />
We might then find that the total contribution of genetics is large – in effect, that the natural differences hypothesis is true.<br />
<br />
My personal hunch is that this is rather likely. Nobody else need agree. But there are some straws in the wind:<br />
<ul>
<li><span style="font-family: "symbol"; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span>Polymorphisms in the <a href="https://en.wikipedia.org/wiki/Monoamine_oxidase_A">MAOA gene</a> vary
between human ethnic groups. They have also been linked to behaviours like
aggression, risk-taking and addiction. (In 2007, the press got hold of this and
coined the phrase “warrior gene”.) Single genes rarely have large effects, but
nevertheless the evidence on MAOA seems to have held up reasonably well.</li>
<li><span style="font-family: "symbol"; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span><a href="http://www.genetics.org/content/genetics/early/2018/01/18/genetics.117.300489.full.pdf">This
paper</a> shows that different human populations have been undergoing selection
for different characteristics, including height, educational attainment and,
delightfully, “self-reported unibrow”.</li>
<li><a href="http://rspb.royalsocietypublishing.org/content/277/1681/529.short">Nations with more
individualist cultures have higher prevalence of a serotonin-linked allele</a>.
(This is just a cross-country association, not a causal link, so the case is still very much open.)</li>
</ul>
<div class="MsoNormal">
So it is worth asking: what if "natural differences" is true? What would that mean?<br />
</div>
<h2>
<span style="font-weight: normal;">When a concept falls apart</span></h2>
<br />
The concept of racism is highly moralized. Most people think racism is bad (me too). Since nobody wants to think of themselves as holding wicked beliefs, the prospect that natural differences might exist has led to some odd reactions: <br />
<ul>
<li>Here is Eric Turkheimer arguing that <a href="http://www.geneticshumanagency.org/gha/origin-of-race-differences-in-intelligence-is-not-a-scientific-question/">it’s metaphysically impossible to know if racial differences in e.g. IQ exist</a>. </li>
<li><b> </b>A blog in Scientific American, no less, arguing that <a href="https://blogs.scientificamerican.com/cross-check/should-research-on-race-and-iq-be-banned/">research on race should simply be banned</a>.</li>
</ul>
These arguments are silly. But if natural differences exist, how would it actually matter?<br />
<br />
There are two contrasting views here. The first is rather maximalist, and seems to be shared by anti-racist campaigners and racists alike. Both think natural differences would change everything. This leads anti-racists to argue that believing in them is wicked; and racists to support them and draw extreme political conclusions.<br />
<br />
<div class="MsoNormal">
The second view is more relaxed. Charles Murray and Herrnstein put it like
this in <i>The Bell Curve</i>: </div>
<blockquote class="tr_bq">
<div class="MsoNormal">
<i>We cannot think of a legitimate argument why any encounter between individual whites and blacks need be affected by the knowledge that an aggregate ethnic difference in intelligence is genetic rather than environmental.</i></div>
</blockquote>
In essence, it doesn’t matter what the causes of intergroup differences are; we still have to deal with them, and a genetic pathway is just another way to intervene. I lean towards this second view, but with some qualifications.<br />
<br />
Let’s take a relatively extreme case. Suppose that we learn there are genetic differences between white and black people in the US that – with society as it is – cause substantively large differences in IQ, educational attainment and income. (To repeat: I entertain this here as a hypothesis. As of 2018, you are perfectly entitled to believe that this is false.)<br />
<br />
In this case, would it be justified to discriminate by race, for example by preventing black people from voting? Of course not. We can see this, just by thinking of the really existing group of people, of all races, who actually are unintelligent. We could easily and directly identify these people, without any genetic whizzery. But we do not think that dumb people should not vote, or should be denied other civil rights.[1]<br />
<br />
What about individual discrimination of a more low-level kind? Would it be OK to deny black people job interviews because of their race? No, it would not. It is a core tenet of liberalism that individuals deserve to be evaluated on their merits. We should treat people as people because that is the right thing to do.<br />
<br />
OK, so it might be wrong, but surely it would be tempting – and sensible! Individual self-interest might easily lead employers to save time by only interviewing the white guy, right? <br />
<br />
Not really. Consider three ways to learn about someone’s intelligence – in the straightforward practical sense of “is this person smart enough to do their job well?”<br />
<ol>
<li><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span>Make the judgment based on their race.</li>
<li><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span>Ask for a cheek swab and estimate intelligence
from the person’s genes. </li>
<li><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;">Make them do</span></span> an IQ test.</li>
<li><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span>Look at their CV, and/or talk to them in an
interview. </li>
</ol>
The respective merits of the last two options are arguable, based on how much weight you place on IQ tests. But it is a known fact that 2. is much worse than 3., and always will be; and I am pretty sure that 1. is worse than 2. and always will be. <br />
<br />
2. is worse than 3. because genetics only explains about half the variation in intelligence – any presently available genetic test explains much less than that, but even the best possible genetic test would only get half. 1. is worse than 2. because there is a lot of genetic variation within-groups – more than there is between groups, for most things.[2] So racist hiring will continue to be a bad idea, as well as wrong.<br />
<br />
In short, if we find substantive genetic differences between ethnic groups, it will not change how society should function. But it may change our politics.<br />
<br />
The first change would be epistemic. Different ethnic groups get different outcomes in many, many ways, and these differences are often used to argue that society or institutions are racist, i.e. that they treat people differently based on race. But if genetics provide an alternative explanation, then this argument is not valid. This is the same argument at group level that has already been made at individual level. Thoughtful people now accept that e.g. class differences in outcomes from education are not, in themselves, a proof that schools serve poor people worse: you have to do more work than that. The same may apply to ethnic differences. <br />
<br />
The second change is more unpredictable. Call it the “James Watson wants his job back” factor. (The co-discoverer of DNA lost his position after suggesting that Africans were less intelligent than other races.) For a generation, to hold such views has been thought wicked, and people who express them have paid severe penalties – the most obvious being Charles Murray, who wrote twenty pages on race in a long and prescient book on inequality, and is still being monstered a generation later.<br />
<br />
In this respect a certain shift has become noticeable of late. The argument has moved from “they are racist and wrong” to “they may conceivably be right, but they were arguing in advance of the evidence”.[3] But in science, we do not normally blame people for being the first to be right. I wonder whether the condemnation of these people has become an end in itself. <br />
<br />
This may be a minor issue – delayed justice for a few intellectuals – but it could become more than that. If a large component of elite discourse on race – what people have been told with great firmness and authority for years – turns out to have been wrong, it is hard to predict the effect on the public debate on, say, immigration. <br />
<br />
The lesson here is not to infuse your science with morality, and make your morality depend on unproven science. If you do so, you may paint yourself into a corner.<br />
<br />
I will say more about this in my next post, on racism.<br />
<br />
<h2>
<span style="font-weight: normal;">
Postscript: a qualification</span></h2>
<div class="MsoNormal">
<br />
I should make it clear that if the natural differences hypothesis is true, it is true in a very different sense to that of the eugenics of the 20th century. In particular, “race” in the biological sense is not a box you can put someone in; it is shorthand for being a bit more genetically similar to some people than to others. Very few DNA variations are exclusive to any ethnic group.[4] This means that statements about racial groups and (the genetics of) any characteristic are always probabilistic. They will be claims about averages. In particular, they should be interpreted, for any individual, in the light of other information. <br />
<br />
For example, I teach many Chinese students; I think it is possible that people of Asian descent have higher IQs on average than white people, for genetic reasons… but this does not keep me awake at night, because I have a PhD and my students don’t, which is much more informative than my ancestry about my capacity to teach them. Or for a more relevant example: if you know that somebody is an immigrant from country X, you know two things about them, first that they were born in X, second that they came to your country. The second fact may easily tell you much more about their intelligence – even their genetics – than the first.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<h2>
<span style="font-weight: normal;">Footnotes</span></h2>
</div>
[1] Well, <a href="https://press.princeton.edu/titles/10843.html">some people do</a>… but that’s <a href="http://davidhughjones.blogspot.co.uk/2016/10/epistocracy-is-stupid-idea-for-clever.html">a stupid idea itself</a>.<br />
<br />
[2] Race-based judgments could have the advantage of picking up environmental differences between groups which genetics don’t capture, such as social disadvantage. But clearly, this has nothing to do with genetic science.<br />
<br />
[3] <a href="https://www.nytimes.com/2018/03/23/opinion/sunday/genetics-race.html">David Reich’s recent New York Times article</a> does this to James Watson, for example.<br />
<br />
[4] Interestingly, those that are are almost always to do with physical appearance. davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-8928189521258424112018-02-28T06:15:00.001+00:002018-02-28T06:22:05.767+00:00Looking for your keys under the lightning: social science in turbulent times<br />
It is time to come out. I am writing a book. When I tell this to senior academics, they wish me "Good luck," and their eyes gain a mysterious, troubled look. Writing books is not what economists do.<br />
<br />
Here is a self-justifying sketch of the relationship between social science and its historical setting.<br />
<br />
Think of the possible states of society as a multi-dimensional space, each dimension corresponding to a variable: the growth rate, inequality, the price of corn, the prevalence of opiate addiction and so on. Different societies or parts of society – Kansas and New York, Denmark and Greece, or South London and North Oxford – are at different points in the space. <br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhN0gd4u9JgaDc4JORdvZ36bT52Ad4eRz0dHwM3Myb2S96NwYuJuSArvr4FBYLaqESLYvlmc3oT0l4RFKKfYZVloT-OV90vrAz0vf0_znyPvkbuP2Dagl_EbNInN61JVFll8xdw9w/s1600/Screen+Shot+2018-02-28+at+05.41.45.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="326" data-original-width="317" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhN0gd4u9JgaDc4JORdvZ36bT52Ad4eRz0dHwM3Myb2S96NwYuJuSArvr4FBYLaqESLYvlmc3oT0l4RFKKfYZVloT-OV90vrAz0vf0_znyPvkbuP2Dagl_EbNInN61JVFll8xdw9w/s320/Screen+Shot+2018-02-28+at+05.41.45.png" width="311" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Nearby societies are at different points in a many-dimensional space</td></tr>
</tbody></table>
<br />
Some exogenous variables are like the weather: they change naturally, but we cannot change them. Others are policy variables, in the broadest sense that they can be affected by collective human choices. The optimal value of the policy variables depends in on the value of the exogenous variables. Social science involves working out how our welfare depends on the policy and exogenous variables.<br />
<br />
At settled times in history, society appears static. <i>Expected changes in the exogenous variables are small</i>, and <i>welfare appears high</i>, suggesting that <i>policy variables are about right</i>. In this state, social science involves looking nearby in the social space – probably within the convex hull formed by different existing parts of our society. This gives us lots of data.<br />
<br />
Economists talk about "looking for your keys under the street light". The idea is that your keys, if you have lost them, are no more likely to be lying under the street light than elsewhere; but it makes sense to look under the street light, rather than in the dark where you won't see them anyway.<br />
<br />
In settled times, we look under the street light. Prestigious social science involves careful empirical work, leveraging the available data to recommend incremental policy changes. Think of Esther Duflo and the economist as an engineer, or, as Keynes once wistfully suggested, a modest profession like dentistry. <br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIqGADt4wongfkxSGT5H2MzDkE0PYhTXHqscvi2WKdpK1PumRp3n2a_t5_LQ41eJkP11SlAOnf5bHH2vypBEIabl39uOb8-QhsTbQ1PxcfXMiJToWpCtvwCGP_E2fEPes-L635og/s1600/Screen+Shot+2018-02-28+at+05.41.15.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="333" data-original-width="310" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIqGADt4wongfkxSGT5H2MzDkE0PYhTXHqscvi2WKdpK1PumRp3n2a_t5_LQ41eJkP11SlAOnf5bHH2vypBEIabl39uOb8-QhsTbQ1PxcfXMiJToWpCtvwCGP_E2fEPes-L635og/s320/Screen+Shot+2018-02-28+at+05.41.15.png" width="297" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Social science in settled times: looking for small changes within the convex hull* of what is known<br />[* the shape shown is not quite convex, but eh.]</td></tr>
</tbody></table>
<br />
Other times in history are times of turbulence, of fast change and widespread dissatisfaction with the status quo. <i>Expected changes in exogenous variables are large</i>, or <i>social welfare appears low</i>, suggesting that we need <i>large changes in policy variables</i>.<br />
<br />
In turbulent times, we need to explore remote points in the policy space, beyond the convex hull of what is known. Social science involves bold steps of imagination and deep theoretical examination of current and possible structures. Think of Marx and what Joan Robinson called his intellectual "seven-league boots", striding forward over trivial details. Or think of the public choice movement of the 1970s, which looked at the foundations of political constitutions. In fact, we need to "look for our keys under the lightning" –
flashes of insight which illuminate the whole landscape and point to big
possible changes. <br />
<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEimkhbdmQhPB9tXE0CmcIhfXJbiQttp1EmkKFrm5dn7A5wMoPLdWD793FzI4XVMFVuk7ltI6F_rFvP1MuhKd3bCeqLF2E0XJ8n5_da8cGwg4vbFR6Dhyphenhyphen_Z3YQT5Xh6kHGtZx35g2w/s1600/Screen+Shot+2018-02-28+at+05.41.25.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="329" data-original-width="379" height="277" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEimkhbdmQhPB9tXE0CmcIhfXJbiQttp1EmkKFrm5dn7A5wMoPLdWD793FzI4XVMFVuk7ltI6F_rFvP1MuhKd3bCeqLF2E0XJ8n5_da8cGwg4vbFR6Dhyphenhyphen_Z3YQT5Xh6kHGtZx35g2w/s320/Screen+Shot+2018-02-28+at+05.41.25.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Social science in turbulent times: looking for keys under the lightning. </td></tr>
</tbody></table>
<br />
Today we are living in turbulent times. The economy is changing fast as the centre of the world moves East. Politics, driven by voter dissatisfaction, is just as fast-moving and less predictable.<br />
<br />
Of course, it is arrogant to assume that you can produce a bolt of intellectual lightning! But if the premium is on lightning, then it may be worth trying.<br />
<br />
This is why I am ignoring my senior colleagues' troubled looks, and writing a book.davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-90412207876478308582018-02-25T21:51:00.003+00:002018-02-28T05:14:36.879+00:00Hello Daaaave...From my <a href="http://davidhughjones.blogspot.com/2018/02/the-fake-news-hysteria-and-intellectual.html">previous post on new media</a>:<br />
<blockquote>
Those politicians that grasp this new reality – Leftists like Corbyn, nationalists like Trump, centrists like Macron – win elections. Those that don’t, don’t. </blockquote>
Let's stay on this topic. I got an email from Brandon Lewis yesterday. Brandon Lewis is the new broom at Central Office, part of his remit being to bring social media pizzazz to match Momentum. <br />
<blockquote class="tr_bq">
<i>Dear David, </i></blockquote>
What's up, Brandon? <br />
<blockquote>
<i>With your support, we’re shaping the future of Britain. But Labour want to stop our progress. </i></blockquote>
Oh dear! That sounds generically bad.<br />
<blockquote>
<i><b>That’s why the Prime Minister wrote to you, David.</b></i></blockquote>
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<br />
And so it goes on. I'm not saying it was necessarily written by a smart-suited young person in marketing. It seems that way, but who knows? Maybe Brandon – or as I call him, the B-Dogg – penned and sent it himself, with all the friendly personal touches.<br />
<br /></div>
<div class="MsoNormal">
</div>
<div class="MsoNormal">
So anyway, current wisdom runs that we can keep Theresa May, because she's <i>still a bit ahead in the polls</i>.<br />
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<br /></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivO6xRe_l_8qtyQ2fLDLj2wsbqQHsuBCaK3a8r5zUkGWSNevbZfrlQkBbjxBfaFDhYEzsWr9OKIPEVEHBjmWAcsAuESbrFUZ3D2DoPjCwsUMY0Oxy08QcwHmixToAfnomK8CGtaw/s1600/Opinion_polling_UK_2020_election_short_axis.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="655" data-original-width="1059" height="246" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivO6xRe_l_8qtyQ2fLDLj2wsbqQHsuBCaK3a8r5zUkGWSNevbZfrlQkBbjxBfaFDhYEzsWr9OKIPEVEHBjmWAcsAuESbrFUZ3D2DoPjCwsUMY0Oxy08QcwHmixToAfnomK8CGtaw/s400/Opinion_polling_UK_2020_election_short_axis.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">The last time Theresa May was ahead in the polls</td></tr>
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That'll probably be fine!<br />
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davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-59509397792736511432018-02-24T13:34:00.002+00:002018-02-24T13:47:21.849+00:00The fake news hysteria and the Intellectual Dark Web<style>
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Two writers, from Left and Right, make contrarian,
optimistic arguments about the effect of the internet on public debate:</div>
<ul>
<li><a href="https://life.spectator.co.uk/2018/02/the-intellectual-dark-web/">Douglas Murray on the Intellectual Dark Web.</a></li>
<li><a href="http://glineq.blogspot.co.uk/2018/02/fake-news-reaction-to-end-of-monopoly.html">Branko Milanovic on “fake news hysteria”.</a></li>
</ul>
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Both make interesting points, but their optimism is unwarranted.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
What is really going on? </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">Lower costs</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The internet has dramatically reduced the cost of
publishing. The market for news and opinion has gone from an
oligopoly to a classical free market, with many sellers and many buyers. What
before required industrial-scale machinery and a nationwide distribution
network can be done by anyone with a Facebook account.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
By standard economic theory, that should be good
for consumers, providing more variety at lower cost. Mr Murray and Professor
Milanovic both broadly take this line. But long ago, Joseph Schumpeter argued
that monopoly could be better for innovation than free markets. A monopolist would
expect to reap all the dividends from investing in new techniques; in a free market, other sellers could and would steal your new ideas.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
For news production on the internet, this argument applies
in spades. Newspapers always competed for the scoop and knew their rivals would
follow the story up the next day. (In the jargon, news is non-excludable.) The internet has exacerbated this: an article which took weeks of gumshoeing
to produce can be copied in a second – even if not literally copied and pasted,
its ideas can be taken. The traditional press is right to grumble that Google News and
Facebook are killing its business model. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The result is that analysis, which anyone with a brain can
produce, proliferates, but actual reporting, which costs time and money,
withers. And so, instead of scoops, we get front page news about cold weather
snaps. The extreme version of this is the Daily Express in the UK, which has
given up reporting as too costly, and fills its headlines with press releases
about heart disease drugs.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Unfortunately, modern democracies need the information gathered
by reporters much more than they need analyses from social scientists and pundits.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">The end of the consensus</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The old media firms were not neutral actors. To get
political news, the journalist asked his pals in the government for a juicy
story. In return, they expected favourable coverage. Different organs allied
with different political tribes, but when the elite as a whole agreed
on some view, challenges to that view went unheard. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
This was the old-style social construction of reality. It
was certainly problematic. On the other hand, a consensus, even a biased one, provides society with the evidence base it needs to make collective
decisions, and common ground as the basis for constructive debate.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">Clickbait</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
That has all gone. The Sun can no longer swing elections
with its headlines. A paper publishes a fishy story about Jeremy Corbyn meeting
a Czechoslovak spy – his rebuttal, on Youtube, gets a million views in a day. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Those politicians that grasp this new reality – Leftists
like Corbyn, nationalists like Trump, centrists like Macron – win elections.
Those that don’t, don’t. </div>
<div class="MsoNormal">
<br /></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg_fga1BR8OOaz10NCz75s7Nd6smHBma-YGN1y5BSZuEApa8x0LlB8q-b8Lb4NYPaV0oat6_KjWYqTDs2ehh1YTOc10F-pn9PBQdJ-ReGq6_ptyOSz0U8LxpnrjF_vezovtf95AOg/s1600/the-sun_kinnock_light-bulb.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="390" data-original-width="280" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg_fga1BR8OOaz10NCz75s7Nd6smHBma-YGN1y5BSZuEApa8x0LlB8q-b8Lb4NYPaV0oat6_KjWYqTDs2ehh1YTOc10F-pn9PBQdJ-ReGq6_ptyOSz0U8LxpnrjF_vezovtf95AOg/s320/the-sun_kinnock_light-bulb.jpg" width="229" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Back in the day</td></tr>
</tbody></table>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Is this the democratic ideal realised? Nope: you can also
get a million hits by <a href="https://twitter.com/pixelatedboat/status/949100087350710272">reporting fake news on Trump’s gorilla channel</a>. News has
another quality: it is an experience good. What we buy are “stories”. We cannot
find out for ourselves which stories are real. The market failure this would normally
cause used to be mitigated by a journalistic outlet’s reputation. Broadsheet
newspapers were biased, but they left the really garbage stories to the
tabloids.
</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
In a market with a million outlets, all copying each other,
this partial solution no longer works. As a result, we are drowning in
clickbait.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">What solves public
goods problems?</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The actors in this new reality will not be thoughtful
bloggers like Branko Milanovic. They will be states. States can control the
flow of information within their borders. They have the resources to produce fake
news, real news and everything in between. They can step in and solve the
public good problem. And they have the incentive to do so, because states need
to produce consensus supporting their actions. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Professor Milanovic occludes this point by describing
Al-Jazeera, Russia Today etc. as “foreigners” as against the “Anglo-American”
media. But this misses a distinction: Russia Today is directly an organ of the
Russian state. The New York Times is not. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Similarly, the fragmentation of the internet into national
borders is not a reactionary backlash against the new open world. It is part of
the same process. It is the obvious next step.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
What is there to celebrate here? Yes, now the West knows
what it feels like. But when Radio Free Europe broadcast into the Soviet Bloc,
it was passing on the truth – at least some truth – from liberal democracies to
dissident citizens in some thoroughly nasty dictatorships. When RT broadcasts to
us, it gives us lies and conspiracy theories.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Western hegemony was often exercised brutally. Many liberals
and progressives, sensing its end, mistakenly infer that the rising powers –
Russia, China and their allies – will agree with their values better. This wishful
thinking will deserve the nasty surprise it gets.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">Hobbits and hooligans</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Douglas Murray celebrates the availability of new ideas that
challenge the consensus. I agree: I’m glad to read Jonathan Haidt or Nicholas
Christakis or Sam Harris. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
We now have a free market in theories. Whereas before we all
had to buy the one theory, we now can pick the one we like best. Will the best
theory win? </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The political theorist Jason Brennan describes three kinds
of citizens. There are hobbits, who like comfort and don’t want to be made to think; hooligans,
who gather evidence to support their preconceptions; and vulcans, rational
thinkers like Spock in Star Trek, who make ideal citizens because they inform
themselves impartially. Evidence from public opinion research provides the
kicker: basically, Vulcans don’t exist. There are only hobbits and hooligans. Jason
Brennan is <a href="https://www.amazon.co.uk/Against-Democracy-Jason-Brennan/dp/0691162603">skeptical about democracy</a>.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Jordan Peterson seems like a good guy, and who is to
disagree with rules in <a href="https://smile.amazon.com/12-Rules-Life-Antidote-Chaos/dp/0345816021/">his book</a> like “Stand up straight with your shoulders
back”? Whether that is intellectually ground-breaking work, I am less sure. It
sounds an awful lot like <a href="https://www.amazon.com/Make-Your-Bed-Little-Things/dp/1455570249/">Make Your Bed</a> (author Admiral William H McRaven, US Navy,
retd). In general, there is a market right now for sensible, Victorian advice. What
Professor Peterson does seem to have is great charisma as a lecturer. </div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Intellectual progress requires more than the existence of competing
views. Those views must meet in reasoned debate, and the better argument must
win. The blogosphere, or Intellectual Dark Web or whatever, has not yet proved its
ability to generate this kind of progress. I hope it does. Meanwhile, it is
certainly nice to find intellectual allies, and the internet can provide that
for all of us.</div>
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-20993699648640183712018-01-16T20:18:00.002+00:002018-01-16T20:18:47.531+00:00Days when I'm glad to be in an economics departmentSeveral of my political economy students found <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.619.4565&rep=rep1&type=pdf">an article in the Journal of Public Policy</a> (ungated link), on differences between the EU and US in lobbying. The key evidence, from interviews with corporate lobbyists, and doubtless obtained with great difficulty, is presented in this table:<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg40APF3ddL6SsOZmak0LjWMGFLTbox1HrNKwRbb-P0Eqt0kGF951nRwWtR3MvW5vFea0z4koSAoem5WIHVFsYpbN9GrXdGOp_-fT2THQszuoXTAkIjDmqiJgZkJqjZ8TCIBI4PBw/s1600/Screen+Shot+2018-01-16+at+20.11.15.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="173" data-original-width="463" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg40APF3ddL6SsOZmak0LjWMGFLTbox1HrNKwRbb-P0Eqt0kGF951nRwWtR3MvW5vFea0z4koSAoem5WIHVFsYpbN9GrXdGOp_-fT2THQszuoXTAkIjDmqiJgZkJqjZ8TCIBI4PBw/s1600/Screen+Shot+2018-01-16+at+20.11.15.png" /></a></div>
<br />
<br />
<br />
<br />
<br />
Sophisticated data analysts will notice a certain element is lacking.<br />
<br />
<br />
<span style="font-family: "Courier New", Courier, monospace;">> tmp <- as.table(matrix(c(30,20,15,32,36,14), 3, 2))<br />> tmp<br /> A B<br />A 30 32<br />B 20 36<br />C 15 14<br />> chisq.test(tmp)<br /><br /> Pearson's Chi-squared test<br /><br />data: tmp<br />X-squared = 2.7411, df = 2, p-value = 0.254</span><br />
<br />
From the article:<br />
<br />
<blockquote class="tr_bq">
In the U.S. we see less compromise and more 'winner-take-all' outcomes and the winners, more often than not, are industry representatives (which will be discussed in more detail below). </blockquote>
<div class="page" title="Page 13">
<div class="layoutArea">
<div class="column">
Data is then broken up by subcategories...</div>
<div class="column">
<br /><div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4ceshWI4HLwCHDLayfTNlv6x7ZibjS-dA9OEhJ_HcnO64HWtrZs4__F4SZPTZbTufdF_JEptFbpzBH4SxjiMQ6KPnfdnx_GOFYS6XY9vyJTBfXQhOhkZBrH-Jdne2bUn7ONwHXw/s1600/Screen+Shot+2018-01-16+at+20.13.25.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="313" data-original-width="529" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4ceshWI4HLwCHDLayfTNlv6x7ZibjS-dA9OEhJ_HcnO64HWtrZs4__F4SZPTZbTufdF_JEptFbpzBH4SxjiMQ6KPnfdnx_GOFYS6XY9vyJTBfXQhOhkZBrH-Jdne2bUn7ONwHXw/s1600/Screen+Shot+2018-01-16+at+20.13.25.png" /></a></div>
<br />
... and a number of interesting observations are made.<br /><br />This article has 247 citations.<br /><br />:-/</div>
</div>
</div>
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0tag:blogger.com,1999:blog-6698298.post-84954736445952018272018-01-12T18:21:00.003+00:002018-01-18T19:35:35.250+00:00Generic sins for student essays<br />
<br />
When I mark essays, some types of comments come up repeatedly. I've written them down here. This lets me write down the best possible explanation once, instead of many times.<br />
<br />
<b>A note on style and marks</b><br />
I will often correct your style, partly because I hate bad writing, and partly because one of the most important things you can learn is how to write well. Bad writing will not usually in itself give you lower marks: this is not an English course. But if bad writing is a sign of incoherent or vague ideas, then you will lose marks from that. Also, sometimes the writing is so bad that I literally do not know what the author is saying. See below, <i>what mean?</i><br />
<div>
<br /></div>
<div>
<span style="font-weight: bold;">ACADEMESE</span></div>
<div>
Don’t try to write like an academic. Academics are lousy writers. Students pretending to be academics are even worse. Write as if you were explaining something to a friend, in the clearest and simplest way possible.
</div>
<blockquote class="tr_bq">
<div>
BAD: The work of X can keep such criticism at bay
</div>
<div>
BETTER: X’s work shows this criticism is wrong
</div>
<div>
<br /></div>
<div>
BAD: Mill puts forth the notion of “…”
</div>
<div>
BETTER: Mill says “…”
</div>
</blockquote>
<div>
(“such” is usually academese. Would you say “such criticism” in the pub? Sounds like such bullshit.)
</div>
<blockquote class="tr_bq">
<div>
BAD: it was the posit of a rational pursuit of goods which made analysis economic...
</div>
<div>
BETTER: economic analysis typically assumed that people pursued their goals rationally
</div>
</blockquote>
<div>
(In general, don't use nouns when you can use verbs.) <br />
<blockquote class="tr_bq">
BAD: numerous<br />
BETTER: many </blockquote>
</div>
<div>
<br /></div>
<div>
Basically, if you sound pompous, you sound stupid. So try not to.
</div>
<br />
<b>JARGON</b><br />
Relatedly, don't use jargon unless you need to.<br />
<blockquote class="tr_bq">
BAD: This is exemplary of a non-Pareto optimal realisation of policy.<br />
BETTER: This is bad. </blockquote>
<br />
<b>VERBOSE</b><br />
Express each thought in as few words as possible. See also <i>padding</i>. Edit yourself. The delete key is your friend:<br />
<blockquote class="tr_bq">
authoritarian regimes <strike>can be characterised by their willingness to</strike> bribe and use violence...</blockquote>
<div>
<span style="font-weight: bold;">PADDING</span></div>
<div>
Don’t pad out your word count. It’s obvious, and it won’t gain you marks, because I don’t want your essay to be long. I want it to be short, so I can finish marking the damn thing and do some research/go to the pub/take a candlelit bath with <a href="https://www.youtube.com/watch?v=ylNWezlt3O4">relaxing music</a>.</div>
<br />
<div>
<span style="font-weight: bold;">FENCE-SITTING</span></div>
<div>
Don’t use language to cover up uncertainty. Take a position, or honestly say you don’t know.
</div>
<br />
<div>
<span style="font-weight: bold;">WHAT MEAN?</span></div>
<div>
Your <span style="font-style: italic;">obscurity, fence-sitting</span> or <span style="font-style: italic;">academese</span> are so bad that I literally don’t understand what you are trying to say. Naturally, this is not good for your mark.
</div>
<div>
<br />
<b>HUGE QUOTE</b><br />
If you want to cite someone's paper, don't just quote great chunks of it: explain it in your own words. This makes your essay more coherent, and reassures me that you have understood what the other person is saying - not just copy-pasted it.<br />
<br />
In the worst form of this disease, the whole essay is a patchwork of quotes held together by joining text. Why bother?<br />
<br />
<b>LAUNDRY LIST</b><br />
An essay structure which lists a large number of arguments, without leading the reader from one to another, or explaining their role in the argument. More coherent than <i>collection of paragraphs</i>, but still hard to read.<br />
<b> </b></div>
<div>
<span style="font-weight: bold;">RANDOM READING</span></div>
<div>
Don’t just read papers/blog posts at random. Instead, start reading from what has been recommended. Put effort into searching for relevant papers - which aren’t necessarily ones with relevant-seeming titles. Try to work out whether a paper or book is important (citation counts help <span style="font-style: italic;">somewhat</span>). The ability to find relevant papers is part of what we want you to learn.
</div>
<div>
Informal sources can be very useful but need to be consumed critically. If you only have blog posts and newspaper articles in your bibliography, then you probably have not read enough.</div>
<br />
<b>COLLECTION OF PARAGRAPHS</b><br />
Individual paragraphs in your essay make sense, but they have no discernible relationship to one another. Each paragraph should build on the last, like stones in an arch:<img alt="Image result for arch stones" class="irc_mi" height="220" src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/24/Arch_voussoirs.svg/2000px-Arch_voussoirs.svg.png" style="margin-top: 44px;" width="320" /><b> </b><br />
Your work is more like:<b> </b><br />
<br />
<b><img alt="Image result for rubble" class="irc_mi" height="239" src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/74/Flickr_-_brewbooks_-_The_Rubble_pile_-_Garden_Rubble_Project.jpg/1280px-Flickr_-_brewbooks_-_The_Rubble_pile_-_Garden_Rubble_Project.jpg" style="margin-top: 1px;" width="320" /> </b><br />
<br />
<b>COLLECTION OF SENTENCES</b><br />
Like <i>collection of paragraphs</i>, but at a lower level. Individual sentences make sense, but I don't see how they relate to each other to form a coherent paragraph.<b></b><br />
<b><br /></b>
<br />
<b>SECTION HEADINGS</b><br />
These are a bad idea in a student essay. They're overkill for 2500 words, and they are often a sign that you don't have a single, clear thread of argument.<b> </b>
<br />
<br />
<cite class="_Rm"></cite>
davidhughjoneshttp://www.blogger.com/profile/01123256773062047048noreply@blogger.com0