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> To find any real bias you would have to assure the subjects that the researchers were equally accomplished.

What do you mean? I think you didn't understand the experiment. Subjects were shown the same text with, at random, a male name, female name, or initials. These names were not real researchers, nor familiar to the subjects.

> If it is known that most discoveries are made by males it is reasonable to give larger weight to new male-done research

I'm sure you can see the two different fallacies in this short sentence:

- There have been more male researchers than female, therefore more "discoveries" were made by men than women. No shit. This does not mean male researchers are better than female, obviously.

- There are more men being researchers therefore men's research should be given more weight therefore there are more men researchers therefore...



You will find it beneficial to learn what a "prior probability distrubution" is.


It's actually you who doesn't understand probabilities. If a woman is twice as likely to make a discovery but women are only 5% of researchers, then it's both true that:

1. most discoveries are made by males

2. it is reasonable to give larger weight to new female-done research

contradicting you point.


But you pulled those number out of thin air. The fact of the matter is that if I pick one research paper at random out of all the papers written by men and I pick another research paper at random out of all the papers written by women the former will be of higher average quality.


Did you just pull that out of thin air?


You will find it beneficial to learn about "selection bias".




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