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Medical ethics are ridiculous

In a blistering letter in the current issue of the British Medical Journal, Miran Epstein identifies some of the factors we should consider in assessing the claims of so-called ‘evidence-based medicine’.[1] Nobody rationally disagrees with the suggestion that medicine should have an evidence base, and everybody should agree that in order for medicine to be based on reliable evidence, it should be free of the following ‘polluters’:

  •  financial conflicts of interest
  •  inadequately rigorous selection criteria, outcome measures and criteria of statistical significance
  • the practice of testing products against placebo or no treatment (rather than current treatment), and then shouting ‘Eureka!’
  • recruiting subjects using financial incentives that introduce outcome bias
  • marketing campaigns masquerading as research

Could ad hominem arguments sometimes be OK?

By Brian D. Earp

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Could ad hominem arguments sometimes be OK? 

You aren’t supposed to make ad hominem arguments in academic papers — maybe not anywhere. To get us on the same page, here’s a quick blurb from Wikipedia:

An ad hominem (Latin for “to the man” or “to the person”), short for argumentum ad hominem, is a general category of fallacies in which a claim or argument is rejected on the basis of some irrelevant fact about the author of or the person presenting the claim or argument. Ad hominem reasoning is normally categorized as an informal fallacy, more precisely as a genetic fallacy, a subcategory of fallacies of irrelevance.

Some initial thoughts. First, there are some clear cut cases where an ad hominem argument is plainly worthless and simply distracting: it doesn’t help us understand things better; it doesn’t wend toward truth. Let’s say that a philosopher makes an argument, X, concerning (say) abortion; and her opponent points out that the philosopher is (say) a known tax cheat — an attempt to discredit her character. Useless. But let’s say that a psychologist makes an argument, Y, about race and IQ (i.e., that black people are less “intelligent” than white people), and his opponent points out that he used to be a member of the KKK. Well, it’s still useless in one sense, in that the psychologist’s prior membership in the KKK can’t by itself disprove his argument; but it does seem useful in another sense, in that it might give us at least a plausible reason to be a little bit more cautious in interpreting the psychologist’s results.

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Spin city: why improving collective epistemology matters

The gene for internet addiction has been found! Well, actually it turns out that 27% of internet addicts have the genetic variant, compared to 17% of non-addicts. The Encode project has overturned the theory of ‘junk DNA‘! Well, actually we already knew that that DNA was doing things long before, and the definition of ‘function’ used is iffy. Alzheimer’s disease is a new ‘type 3 diabetes‘! Except that no diabetes researchers believe it. Sensationalist reporting of science is everywhere, distorting public understanding of what science has discovered and its relative importance. If media ought to try to give a full picture of the situation, they seem to be failing.

But before we start blaming science journalists, maybe we should look sharply at the scientists. A new study shows that 47% of press releases about controlled trials contained spin, emphasizing the beneficial effect of the experimental treatment. This carried over to subsequent news stories, often copying the original spin. Maybe we could try blaming university press officers, but the study found spin in 41% of the abstracts of the papers too, typically overestimating the benefit of the intervention or downplaying risks. The only way of actually finding out the real story is to read the content of the paper, something requiring a bit of skill – and quite often paying for access.

Who to blame, and what to do about it?

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Ferretting out fearsome flu: should we make pandemic bird flu viruses?

Scientists have made a new strain of bird flu that most likely could spread between humans, triggering a pandemic if it were released. A misguided project, or a good idea? How should we handle dual use research where merely knowing something can be risky, yet this information can be relevant for reducing other risks?

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