It is fun to watch the absolute torrent of confirmation bias and people changing their minds all the time in the comments though. Must be exhausting to constantly wax and wane like that.
As you say, unless you regularly dance at the bleeding edge of material science, nothing you believe really matters, so why not jump in with both feet?
I mostly can work with it. It helps make me very good at certain tasks.
If you indeed waited for all relevant information, you’d never be able to make a choice. You, like every single other healthy human (some humans can’t do this) use emotion to decide when you’ve gathered enough information.
The only difference here is some are aware of this process and some aren’t.
So yeah, if you act irrationally, you will make bad decisions. But it's not irrational to believe something loosely based on a very limited set of facts.
In the later case, the is no point in overthinking
Rarely, exceedingly rarely even, do you have the luxury of waiting for all of the facts before deciding something.
My best answer is I don't know. If you are knowledge enough, go ahead
Not sure why r u so insist that only your way is right. That's ur choice of course
You’re talking about pride. Prideful people are not effective.
So at this point no one should be believing anything until we have a lot more evidence.
The current "free-market" process of replication attempts is going to resolve the issue both quicker and with more statistical significance than peer-review ever could.
Perhaps this isn't what you're implying, but the peer-review word in your comment jumped out to me, as if that changes anything.
You can't take a dozen lousy studies and put them together to get better statistical significance than a single well-designed study. If the methodology of a study is bad, the results have to be scrapped entirely, and peer review is supposed to be the process through which we filter out bad methodology.
Without peer review we don't know which studies to eliminate from our informal meta-analysis, which means we can't come to any conclusions about the data.