Eicca found it hilarious my name is spelled with k rather than double cc ...

I’d been to several concerts but didn’t recognize them. They chatted me up and I told them I’m flying to Berlin for music (small gig) and they were like “we are too” hahaha

Hard to determine anything in statistics without making some assumptions. In this case, the much bigger assumption for me is that there are cleary, discernible, data generating mechanisms that generalize across people for which the Fourier transformation makes sense in the first place ;)

2/2

Results are complex & depend on the purpose you want to use EMA for.

Shoutout to the fantastic, highly interdisciplinary author team, with a special thanks to the amazing @aaron.bsky.team for making his awesome EMA dataset public which we used for this paper in addition to our WARN-D data.

I went an hour ago and it was still too warm for running haha .. did you join AIMOS? I'm here for a little research visit

I think I need to adapt my background image ..

Empirically, more extensive project descriptions do not affect the eventual decision anyway:

"We find that withholding proposal texts from panelists did not
detectibly impact their proposal rankings."

link.springer.com/article/10.1...

I mean it's >90% CV and <10% research idea o_O

☝️

Missed it (although it's v clear in my own screenshot d'oh), thanks

Aaaaaaah my bad! That clears it up, thanks

I think the BMJ annually publishes a troll paper (maybe around xmas, if I recall correctly). They get lots of publicity / responses outside of traditional academic circles ;)

Here is another one: www.bmj.com/content/363/...

🤔

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... has been disappointing. We now have more, not fewer, competing classifications than we had a generation ago, and in those areas where a consensus has emerged multivariate analysis has not played a crucial role."

Kellen, 1976. We're in the same spot pretty much exactly half a century later.

Maaattt hi! We've found a home but I think @depressionlab.bsky.social may have stuff that would fit with yours perhaps!

"Teaspoon displacement & loss leads to the use of forks, knives, & staplers to measure out coffee & sugar, inevitably causing a reduction in employee satisfaction; in addition, large amounts of time may be wasted searching for teaspoons, both factors leading to decreased employee efficiency."