Anything and everything really, and these seem like good candidates.

Ha, I literally rewatched the bonus material on this in your previous video a couple days ago.

Looking more closely over the contents of this and it's going straight to the top of the reading list now!

Oooh, looking forward to this... tbf I need to work through the @guruspod.bsky.social back catalogue and my charity walking during February seems a good opportunity.

Ah nice... I think this was on my to read list when I was looking to update elements of the qualitative components of my research methods module... Then of course the whole redundancy thing so never ended up going back to it. Thanks for the prompt!

Yeah the terminology is weird... Tbh I'd have previously just used "prediction" even to refer to temporally past events if I didn't know the result when I made said prediction. @markrubin.bsky.social shared a screenshot from Brush that jives with that.

Of course... Expected Brian would have had a good suggestion (and this looks familiar so may have seen it shared before). Thanks!

Oh man... I think I've started reading that thrice, got distracted by something, and then started again when I remembered I never finished it 😅

Will move it back up the list... And the plus side is I have almost cleared my extra curricular to do list so looking forward to getting back to reading!

Awesome, thanks Mark... They look like a great place to start.

Prompted to think about it because a theory I've been working with makes predictions that are almost perfectly corroborated by a twenty year old high powered study we got raw data for, and that wasn't used in developing said theory.

Tagging some folks who may hopefully have some ideas (no worries if not) @markrubin.bsky.social @devezer.bsky.social @jbakcoleman.bsky.social @brianhaig.bsky.social @fidlerfm.bsky.social @cjcontarino.bsky.social @rmcelreath.bsky.social @ufeest.bsky.social

@jemarnold.bsky.social would have been my suggestion too! Tbh, I tend to steer clear of the endurance world, but have a fairly strong prior it's just as crap in the aggregate as the rest of the field in terms of research quality and quality of thinking 🙃

Should clarify... area being exercise science, more specifically resistance training. We know picking up heavy stuff has a fairly large effect on strength 😜

I've wondered about this in my area... I don't suspect as much pub bias as p-hacking. We've generated non-adjusted meta-analytic estimates and dose-response models from large datasets, then tested predictions in highly powered pre-reg studies with estimates almost bang on the mark.

#icanhazpdf

Oh nice, I missed this - would have been a great article to have had for suggested reading when I used to teach my UG research methods. I tried to break down a lot of the traditional dichotomies for them.