Sasha Gusev

Sasha Gusev

@sashagusevposts.bsky.social

Statistical geneticist. Associate Prof at Dana-Farber / Harvard Medical School. www.gusevlab.org

7.3K followers722 following1K posts

Sasha Gusev reposted

Replying to @nikhilmilind.dev

I'm also looking for postdoctoral opportunities in statistics / statistical genetics / population genetics starting in the fall of 2028. I'm interested in empirical Bayes and trait causal models! bsky.app/profile/jeff...

Jeff Spence@jeffspence.github.io

It's been 30 years (!!!) since the conceptualization of GWAS. GWAS has driven tons of discoveries, but with recent experimental developments (CRISPR, single-cell omics), we thought it was time to think about how to drive the next 30 years of human genetics. doi.org/10.5281/zeno...

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I call this "vibe heritability", where the researcher is already convinced of a genetic model and then simply eyeballs various correlations to argue that it holds up. Clark and his advocates in the symposium repeatedly employ it as a rhetorical strategy.

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In his response, Clark goes back to his database and re-evaluates the status correlations among twins. He concludes that all is fine and the data is perfectly consistent with his additive model. But his calculations are erroneous.

If one actually models the non-random assortment in this data, the resulting heritabilities from three out of four traits would be >100% and the shared environment variance negative -- an impossible finding. The results are even more absurd in large, modern twin studies.

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In the symposium, several other researchers gently seek to point out the same inconsistency. That the genetic correlation between mates estimated by Clark's model is incompatible with thousands of behavioral genetics analyses of twins.

A quick look at the data shows that intergenerational transmission of status traits actually decreased substantially. So how does Clark draw his conclusion? Instead he fits a latent/genetic model to the decay of status transmission across many generations.

It is good to keep in mind that Trump & co's attacks on these disciplines have faced their biggest challenge in courts, typically on 1st amendment, academic freedom, and labor law grounds (see examples below). So I would like to see the left move towards, not away, from defending such principles.

Nathan Goldwag@goldwagnathan.bsky.social

It's very important that we defend the right of race scientists to hold academic sinecures, or else we open the door to attacks on the freedom of academic disciplines like gender studies and African-American history, which have already been banned.

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It is good to keep in mind that Trump & co's attacks on these disciplines have faced their biggest challenge in courts, typically on 1st amendment, academic freedom, and labor law grounds (see examples below). So I would like to see the left move towards, not away, from defending such principles.

Nathan Goldwag@goldwagnathan.bsky.social

It's very important that we defend the right of race scientists to hold academic sinecures, or else we open the door to attacks on the freedom of academic disciplines like gender studies and African-American history, which have already been banned.

View full thread

It is good to keep in mind that Trump & co's attacks on these disciplines have faced their biggest challenge in courts, typically on 1st amendment, academic freedom, and labor law grounds (see examples below). So I would like to see the left move towards, not away, from defending such principles.

Nathan Goldwag@goldwagnathan.bsky.social

It's very important that we defend the right of race scientists to hold academic sinecures, or else we open the door to attacks on the freedom of academic disciplines like gender studies and African-American history, which have already been banned.

Seeing some arguments for firing Cofnas like this one, that (scare quotes) academic freedom should not apply to pseudo-scholarship and taxpayers shouldn't fund scholar-activism. I think this is wrong. /1

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Seeing some arguments for firing Cofnas like this one, that (scare quotes) academic freedom should not apply to pseudo-scholarship and taxpayers shouldn't fund scholar-activism. I think this is wrong. /1

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It is not the role of university administrators to evaluate the merit of a topic being studied; silly or wrong-headed research questions can produce useful answers when evaluated with rigor. Whereas a culture of research fear leads to lower quality science.

It is certainly not the role of university administrators to evaluate academics' outside speech or political engagements. Academics live in society too and have a right to lend their academic expertise to political spheres.

Seeing some arguments for firing Cofnas like this one, that (scare quotes) academic freedom should not apply to pseudo-scholarship and taxpayers shouldn't fund scholar-activism. I think this is wrong. /1

Academia is a unique space where people can pursue controversial questions wherever they lead. If the work is pseudoscience (and, in my view, Cofnas' race science clearly is), academia has effective channels for response: public criticism and peer-review.

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Hot take #2: with zero-sum hiring, academic diversity can either come from turning away potential junior faculty or pushing out senior faculty. The pandemic-era DEI effort briefly (and IMO unsuccessfully) attempted the former, perhaps the next wave should try the latter. /x

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I simulated alternative hiring policies over the past 25 years. First, the total number of minority faculty today still lags behind the counterfactual where hiring from the PhD pool was completely race neutral.

Second, imposing DEI-like preferential hiring could significantly increase the number of minority faculty (blue). But so can two neutral hiring policies: (1) accelerating the retirement of senior faculty (dark gold), (2) addressing disparities in the BA-PhD-TT pipeline (pink).

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If we focus on new faculty hires in the "DEI era", a trend emerges: general hiring dropped due to pandemic hiring freezes, but minority hiring remained stable or slightly increased. The outcome: ~160 minority faculty/year over the counterfactual. So about 1 person per campus.

We can also see this in terms of the share of recently graduating PhDs that are hired (crudely). That number ticked up during the pandemic for minority faculty, but is back down to the historic trend. Hot take #1: DEI failed to meaningfully change the faculty hiring landscape.

First, the proportion of faculty at major research institutions remains overwhelmingly white, with the largest recent growth coming from Asian faculty. The apparent demise of the white professor has been greatly exaggerated.

Even if we zoom in on the Asian cohort -- the largest contribution to change -- we see this is primarily a consequence of immigration. 60% of the world's population lives in Asia and America pulls in the world's academic talent.