There's not a lot of real predicting in bio research IME (granted only with a couple subfields). A bunch of things are tried and then whatever works is the focus of the publication, with a write up implying there was a clear hypothesis from the start. Of course not all bio labs are like this, but I'd argue not all psych labs are either.
A lot of this is bad incentives and poor training, but human research is especially hard to control. So I think the issue is partially inherent to the field (in both psych and to some extent bio).
I'd guess the replication crisis in biology is not evenly distributed among branches of biology; for instance I guess it's much worse in biomedicine than it is ornithology. And even within one branch of the biology, I expect the replication crisis is not evenly distributed. Studies about the behaviors of birds probably reproduce less than studies about the distribution of birds (particularly since the introduction of photography, which removes a lot of ambiguity from the later but not necessarily the former.)
Simply because we can't question the results of the field: medicine, vaccines, etc. Whereas for psychology, I fail to think of a single tangible result.
CA was years ago. Google probably has a much more refined model by now. Too bad they aren't sharing it.
[1]: https://news.ycombinator.com/item?id=27097590
[2]: my comment on [1] https://news.ycombinator.com/item?id=27099032
You and the person you are responding to are in agreement. They were being sarcastic.
Predictability and testability being the big problems. Science is prediction, not explanation. Psychology has a huge replication problem.
Advertising, though, has become a science. Predictability, testability, controlled experimental conditions, quantifiability - that's Google's business.