so which one is wrong?
I understood the first sentence to be saying that the proportion of men experiencing "imposter's syndrome" is the equal to the proportion of woman experiencing it.
I understood The second sentence to say that a higher proportion of women experience it.
To my understanding, it's not possible for these two statements to be true at the same time. So one must be wrong.
"This foo is bar."
Both statements can be true simultaneously.
I understood it to be:
P(W) == P(M)
and P(W) > P(M)
either the sample was too small, they got unlucky or the result is stated too generally.
Not necessarily. Maybe the replications were flawed. Characteristics of a population can change over time. Blah, blah, blah. It's incredibly hard to say something is flat wrong or absolutely correct. A good scientist uses what others might call "weasel" words (I hate that term), like, "The data is (in)consistent with the hypothesis."
The more evidence that mounts for or against a hypothesis, well, it's up to you to decide how to act.