🔪"these suspicious dissenters seemed to be drawn primarily from the 'hard sciences,' meaning academic departments such as engineering, mathematics, & econ... By contrast, the vast majority of faculty who supported the president’s immediate ouster were disproportionately from the 'social sciences'"

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With rare exception you might have a choice or two that isn’t obvious and makes a nontrivial difference in a statistical analysis, for a well posed question. If you have more than that you probably need to understand your domain or stats better and should be doing descriptive work.

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In the context of these AI specification curve nightmares, knowing the above cuts out any cause for most of the model formulations. It’s not some subjective researcher flexibility but just models that are flat wrong.

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There’s a certain flavor of scientist who somehow thinks we need data to support all claims. We really don’t need data to know that changing your statistical model will result in a different estimate (because it’s a different estimator for a different estimand).

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Such a sad day here at stat When i came back as a fellow, and learned that I would be sitting at the desk next to Helen, I was a little star struck and very intimidated. When I was in college, I had closely read her work during the pandemic and learned so much from it

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