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On the one hand, no, not in a public setting.

On the other hand, looking at git histories is basically how the social parts of engineering (e.g., money and power) at a place like Google works, at its fundamental level.

This has persisted for a very, very long time. I still remember when people would comment things like, "I worked with so-and-so unorthodox former Google employee, and he didn't commit code."

There are a lot of Googlers on HN. There are a lot of people who work at places that culturally align themselves with how that company runs.

It probably has something to do with why some women feel underpaid or unwelcome at these places.

It definitely has something to do with people commenting things like, "So is this the case of the product manager taking credit..." The tension between the product manager who "didn't do anything" and the engineer who "did all the work" and how the "org" sees that and measures "performance" are all swimming in the back of HN people's heads when they snipe some random academic.

Settling the score in a way so reductive is extremely appealing. But at least in duels, the other person gets to fire back.

But why would she be assumed to be the product manager (or its equivalent in the academic realm)? She has a doctorate in Computer Science from MIT, so she clearly has the technical chops. And she's in the early stages of her academic career, so she hasn't reached the point where she would have the ability to claim grad students' work as her own (which would also be a huge ethical lapse, though apparently it does happen [often with women as the victims]).

In my experience, people don't start looking into these things without some other suspicion. In a work setting, that would be things like impressions of poor productivity, claimed output not matching perceptions of competency, etc. But those involve a ton of data points, based on direct interactions with the person. In this case, the article gives us the following demographic data points:

- 29 years old

- Woman

- Computer Science doctorate from MIT

- Assistant professor of computing and mathematical sciences at the California Institute of Technology

Which of those data points suggests that her work output should be questioned?

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