Occasional reflections on Life, the World, and Mathematics

Archive for the ‘Academic’ Category


George Monbiot has launched an exceptionally dyspeptic broadside in the Guardian against academic publishing, and in support of the heroic/misguided data scraper Alexandra Elbakyan, who downloaded millions of papers, and made them available on a pirate server.

I agree with the headline “Scientific publishing is a rip-off. We fund the research – it should be free”, but disagree with most of the reasoning. Or, maybe it would be better said, from my perspective as an academic his complaints seem to me not the most significant.

Monbiot’s perspective is that of a cancer patient who found himself blocked from reading the newest research on his condition. I think, though, he has underestimated the extent to which funding bodies in the UK and US, and now in the EU as well, have placed countervailing pressure for publicly funded research to be made available in various versions of “open access”, generally within six months of journal publication. In many fields — though not the biomedical research of most interest to Monbiot — it has long been the case that journal publication is an afterthought, with research papers published first as “preprints” on freely accessible archive sites. (more…)

Hysterical costs

There’s an interesting article in the NY Times about a young legal scholar, Lina Khan, who is gaining attention for a novel and detailed argument that antitrust enforcement in the US has come to be inappropriately fixated on price as the sole anticompetitive harm, and so giving a free pass to Amazon. I have no original thoughts about the argument, but I am intrigued by the dismissive language of the critics cited in the article. One (antitrust lawyer Konstantin Medvedovsky) called her approach “hipster antitrust”. And then there’s this:

Herbert Hovenkamp, an antitrust expert at the University of Pennsylvania Law School, wrote that if companies like Amazon are targeted simply because their low prices hurt competitors, we might “quickly drive the economy back into the Stone Age, imposing hysterical costs on everyone.”

Is “hysterical costs” a real thing? Or was he just reaching for a word that would impugn the rationality of a female opponent, and came up with the classic wandering womb?

Self-deconstructing clichés: Weight-loss edition

Continuing my series on figures of speech being modified to eliminate their actual meaning, we have this comment on the discovery of the “holy grail” of obesity research. The holy grail, as a reminder, was a unique item in Christian mythology, the dish that caught Jesus’ blood, the single holy focus of the quest of King Arthur’s knights. According to legend it had magical healing properties. As for this holy grail,

Tam Fry, of Britain’s National Obesity Forum, said the drug is potentially the “holy grail” of weight-loss medicine… “I think there will be several holy grails, but this is a holy grail and one which has been certainly at the back of the mind of a lot of specialists for a long time.

As for the magical healing,

All of the other things apply – lifestyle change has got to be root and branch part of this.

And then we have to wonder — a self-deconstructing cliché twofer — what does he mean by “root and branch part”?

Feeling good about my chances on this coin flip…

People in the know are starting to think a disastrous “no deal” Brexit is now not at all unlikely. According to UK trade secretary Liam Fox

I have never thought it was much more than 50-50, certainly not much more than 60-40.

The Latvian foreign minister is only slightly more optimistic:

The chances of the UK securing a Brexit deal before it leaves the European Union in March are only 50:50, Latvia’s foreign minister has said ahead of talks with Jeremy Hunt.

Edgars Rinkevics said there was a “very considerable risk” that, with time rapidly running out, Britain could crash out of the bloc without a withdrawal agreement.

But not to worry. Rinkevics went on to say that

having said 50:50, I would say I am remaining optimistic.

I suppose, technically, he is more optimistic than Hunt. Why so gloomy, Jeremy, with your exaggerated estimate of 60% chance of disaster? I think it’s more like 50 percent. That’s a glass half full if ever I saw one…

Of course, an “optimist” is usually thought to be someone who thinks the chances of disaster are significantly less than a coin flip. (more…)

Statistics, politics, and causal theories

A new headline from the Trump era:

Fewer Immigrants Are Reporting Domestic Abuse. Police Blame Fear of Deportation.

Compare it to this headline from a few months ago:

Arrests along Mexico border drop sharply under Trump, new statistics show

This latter article goes on to comment

The figures show a sharp drop in apprehensions immediately after President Trump’s election win, possibly reflecting the deterrent effect of his rhetoric on would-be border crossers.

It must be noted that these two interpretations of declining enforcement are diametrically opposed: In the first case, declining reports to police are taken as evidence of nothing other than declining reports, whereas the latter analysis eschews such a naive interpretation, suggesting that the decline in apprehensions is actually evidence of a decline in the number of offenses (in this case, illegal border crossings).

I don’t mean to criticise the conventional wisdom, which seems to me eminently sensible. I just think it’s interesting how little the statistical “facts” are able to speak for themselves. The same facts could mean that the election of Trump was associated with a decline in domestic violence in immigrant communities, and also with a reduction in border patrol effectiveness. It’s hard to come up with a causal argument for either of these — Did immigrant men look at Trump with revulsion and decide, abusing women is for the gringos? Did ICE get so caught up with the fun of splitting up families in midwestern towns and harassing Spanish speakers in Montana, that they stopped paying attention to the southern border? — so we default to the opposite conclusion.

Do loony leftists use the right-hand rule?

So Leave.EU is still active, and apparently last year they were soliciting a graphic to ridicule journalist Carole Cadwalladr:

As a mathematical scientist it strikes me as significant that she is considered to be discredited by association with three images: Flat Earth, Illuminati (though it looks to me like the Masonic eye from the US dollar bill), and what looks like a cheat sheet for an introductory electromagnetism course. Down in the corner we see that she’s been learning the right-hand rule for multiplying vectors. Right above it she has the formula for calculating power, which seems problematic.

Neanderthal science

I just listened to all of a two-hour discussion between journalist Ezra Klein and professional atheist Sam Harris, about Harris’s defense of the right-wing policy entrepreneur (as Matthew Yglesias has described him) Charles Murray, famous for his racist application of intelligence research to public policy, most famously in a notorious chapter of his book The Bell Curve. Klein pushes back effectively against Harris’s self-serving martyrdom — Harris, not unreasonably, identifies with the suffering of a wealthy and famous purveyor of quack science whose livelihood is ever-so-slightly harmed by public criticism* — but he doesn’t sufficiently engage, I think, with Harris’s contention that he is promoting the values of real science. Unfortunately, the “mainstream social science” that Harris and Murray are promoting exists only in secret messages from “reputable scientists in my inbox, who have totally taken my side in this, but who are too afraid to say so publicly”. Harris doesn’t allow for a second that there is any good-faith argument on the other side. Anyone who disagrees is merely trying to shut down scientific progress, or simply confusing scientific truth with do-gooding wishful thinking.

The truth of the matter is, Murray and other brave seekers of truth are doing the opposite of helping to clarify reality. They are wading into a swamp of confusion, and pulling out some especially stinky slime that they can hurl at disfavoured groups.

As much as Harris tries to promote Murray as a pure-hearted “content-of-our-character” anti-racist individualist, as long as “race” exists as a social factor affecting people’s self-image, the communities they belong to, and the way they are perceived by others, it remains a potent social force. When demographers argue that “race” isn’t “real”, they are saying that racial categories don’t separate natural clusters by genetic or physical traits. When Murray says, let’s stop talking about race, let’s talk about individual genetic endowments, he is saying that racial groupings have no causal effect on their own, but only label clusters whose difference arise from deep physical causes — wrong on both sides. (more…)

Fannee Doolee likes college professors but she doesn’t like scientists

When I was a child, there was a regular feature on the program Zoom called “Fannee Doolees”: Riddles about the titular character who liked some things, but didn’t like other very similar things, interspersed with the question “Why do you think that is?”. Listeners could send in their own suggestions, to show they’d figured out the pattern, like: Fannee Doolee likes sweets, but she doesn’t like candy. Fannee Doolee likes batteries, but she doesn’t like electricity. The trick was, FD likes only words that have a double letter in them. So naturally I thought of this when I saw this plot (pointed out by Kevin Drum) from a paper on political partisanship by political scientist Larry Bartels, showing the results of a survey that asked for a favourability rating on a zero-to-ten scale for various groups and institutions, separated between self-identified Republicans and Democrats.

Screenshot 2018-03-20 21.59.44

Looking at this it really jumped out at me that Republicans have widely divergent views of “college professors” and “scientists”. Scientists are well up in the positive zone, about equal with Jews, and Republicans themselves, whereas college professors are well down into negative territory, next to gays and environmentalists. They also like wealthy people, but they don’t like Wall Street Bankers. Fannee Doolee is definitely not a Republican.

Weirdly, Republicans say they like men and women both more than they like Republicans.

Counting to 20

I’m sitting in the Sheldon Theatre for a meeting of Congregation, Oxford University’s governing body, to discuss a suspension of rules to allow a discussion of the proposed resolution to change the university’s negotiating posture on the pension issue. (The motion was proposed with only 18 days notice, rather than the required 22.) The rules allow 20 members to rise (ageism!) to object, which blocks consideration.

It surprised me how determined the university administration was to block this vote.

But it also surprised me how difficult it was to count to 20. It took around ten minutes. They seemed to keep getting confused, and needing to recount various sections.

Whether there really were 20 I’m not sure, but they finally said there were, and adjourned the meeting, to shots of “Shame!”

At which point the meeting was spontaneously moved outside, and a wildcat vote was held.

Natural frequencies and individual propensities

I’ve just been reading Gerd Gigerenzer’s book Reckoning with Risk, about risk communication, mainly a plaidoyer for the use of “natural frequencies” in place of probabilities: Statements in the form “In how many cases out of 100 similar cases of X would you expect Y to happen”. He cites one study forensic psychiatry experts who were presented with a case study, and asked to estimate the likelihood of the individual being violent in the next six months. Half the subjects were asked “What is the probability that this person will commit a violent act in the next six months?” The other half were asked “How many out of 100 women like this patient would commit a violent act in the next six months?” Looking at these questions, it was obvious to me that the latter question would elicit lower estimates. Which is indeed what happened: The average response to the first question was about 0.3; the average response to the second was about 20.

What surprised me was that Gigerenzer seemed perplexed by this consistent difference in one direction (though, obviously, not by the fact that the experts were confused by the probability statement). He suggested that those answering the first question were thinking about the same patient being released multiple times, which didn’t make much sense to me.

What I think is that the experts were thinking of the individual probability as a hidden fact, not a statistical statement. Asked to estimate this unknown probability it seems natural that they would be cautious: thinking it’s somewhere between 10 and 30 percent they would not want to underestimate this individual’s probability, and so would conservatively state the upper end. This is perfectly consistent with them thinking that, averaged over 100 cases they could confidently state that about 20 would commit a violent act.

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