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RenOS's avatar

Some thoughts: First, this is fundamentally a question of priors and null hypothesis. If any institution asks you to trust them, the default answer is usually "no". If a company presents you a bunch of fancy numbers, we expect those to be biased towards whatever is convenient for the company. If any non-western state does, we frequently expect those to be outright doctored. My green friends will automatically distrust anything from any field they don't like, be it the automobile industry or legacy energy providers, unless they're pro-green, of course. If certain scientists want to influence my opinion, it's on them to win my trust. I don't need to prove anything.

This is even more true for state-financed scientists, which is the majority. If you want public money for your experiments, you need to have the public's trust. That's how it ought to work. To be clear, I can understand the frustration with some in my view common yet foolish attitudes, such as distrust of GMOs, or vaccines, or open markets and a long list of other things. But a democracy is not stable if large sums of money get spent over and over again in a way the public does not approve off. There WILL be a correction coming, and the more you fight it, the harder it will get. Trust in science is in many countries at an all-time-low, and in my view rightfully so.

Which leads me to my second point: In many cases, people really don't even give a shit anymore to pretend to be unbiased. If scientists openly say that investigating certain things is unethical because we could get the wrong results, science is dead. I personally know a head of neurology who had a wave of strokes and other issues during the beginning of the covid vaccinations, the majority of which where older people who had just taken the vaccine. He didn't report a single one of those as possibly connected to the vaccine, despite himself thinking that they probably were, on the simple logic that older people were still better-off on net with the vaccination, and that reporting this might keep some percentage from vaccinating themselves. In the short term he is right, but in the long term this obliterates all trust. And when I talk with colleagues on this, a decent percentage will straight up admit they'd do the same. I also think these vaccination were with overwhelming likelihood on-net positive, but how am I supposed to argue that against covid-sceptic friends if even I know the numbers on this are probably bullshit?

And Julian Go is of course correct here; The social sciences never debunked anything. That also doesn't mean the racists were correct, however.

The actual debunkings came from a much more mature fields: Biology. It's easy to show that the large, fundamental and categorical differences between races that early 20th century race scientists wanted to prove are implausible and simply do not fit the data. Social scientists of course would like to claim that glory for themselves, but they simply had nothing to do with it. From the start, they've always been more activist than scientist.

And this leads me to the final, fundamental problem right now in science. Because there is not just one science. There are mature fields with a good feedback mechanism to reality, such as physics, which have their struggles, but there is relatively little worry of bias. And there are young fields with an almost nonexistent feedback mechanism, such as the social sciences.

Even inside a field, you can have substantial differences; For example, I work in human (medical) genetics. When I have a dystonia patient with a family history and I find a rare mutation in a gene known to be connected to movement disorders, and based on this, we treat him with a drug and he is healed, then there is little argument about the relevance of this mutation. The coincidence of his treatment working would be so astronomical as to be implausible. On the other hand, if I find that obese people happen to have some variant in a higher proportion, than this might be directly connected to obesity, or indirectly, or just spuriously, or not at all. There is no feedback, so I can't properly test it.

In social sciences, everything is like this. And the social scientist will usually openly admit to all sorts of things that shouldn't be investigated, which scientists should be barred for daring to get wrong results, and with which convictions they went into the field in the first place. Not rarely, they'll literally call themselves "activist-scholars". And then act surprised when people don't trust their results.

Luke Cuddy's avatar

Fantastic article, and something I've thought about for quite a while since I run into these skeptics of ideological scholarship all the time.

I also think there's a deeper irony here though, because the very people demanding evidence for these supposedly "sweeping conclusions" are generally the same ones who accept social justice-y conclusions hook, line, and sinker at the lowest levels of logical and methodological rigor.

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