Ehud Karavani

I once had a friend living in a badly insolated apartment, and we used to joke it was so cold that their fridge was essentially just another cabinet

not fake news, just alternative facts

🙃

I think it correlates. I'm not a Rothman's Causal Pies person, but the change in designer was probably a necessary but not a sufficient cause, following "iphonism" was already well-established, the chief designer might not have had the mandate for such a drastic change.
But that's just my conspiracy

This has already happened once. the first iphones where very 3D. people were not used to touch screens so buttons aimed to look like the physical ones as much as possible, and UIs looked like their physical counterparts more generally. And then when people got used to it everything became flat.

The best explanation I heard is Apple prepping us for their virtually augmented future, where windows will need to float between our eyes and the natural environment, so they better be transparent/translucent so they could blend smoothly.

I mean the line between community rabbis and grifters can be very blurry, but mostly these people strongly believe that everything is godly planned, which leads to a very passive approach to life more generally

i imagine you before class like a boxer prepping for a match

when scicomm is at the end of its ROPE

oh, and also congrats 😄🐣

on the upside: making this type of intelligence agents is often much more fun than coding

Nowadays there are excellent git interfaces (JetBrain's/PyCharm's is no less than amazing), and I really hope people catch on to that because, imo, reasonable git workflows do magic in organizing the very process of research

the recurring theme in the replies here seems to be the UX. Which is unfortunate, because people seem to be deeply aware of the benefits of version control.
people use version control on Google docs all the time, git is just a way to make each version meaningful.

@alxndrmlk.bsky.social ☝️
(if you won't go for it, I might try)

I don't think it's a replacement either, and imo these formal components can be part of it (estimands in the casual question/contrast, identification in the observational emulation part...). I just find the TT mental framework useful for converting design to analysis code, not just as a comm tool.

I think the advantage of treating TTE as a method is that it makes "time zero" more concrete than other designs, and this in turn reduces bias that arises when organizing data for an analysis (which results in treatment groups bring more comparable).
and it also helps making the estimand clearer,imo

fair enough

I see it more as a stand up to publishers signing multi-million dollar contacts to give access to papers the authors paid them for being published, and still seeing no attribution or compensation.

Be careful Aki "it's just polishing work" are very famous last words. Good luck! 🤞

the number of times i was in rooms with a ~100 years of cumulative experience, watching a bunch of color-coded RNAseq UMAPs, examining them like art critics interpreting a Jackson Pollock

>10 years on and i still haven't seen a single question answered with clustering

IVF is such a brutal process and success is so rare, that I can't not think about the physical and psychological toll women might go through by buying into the hype and optimizing for barely noticeable behavioral traits rather than whichever embryo has the highest chances of successful birth. 2/2

when we were working on the polygenic scores-based embryo selection paper, i had a classmate (unrelatedly) working on computer vision methods for morphological-based prediction of embryo implantation chances (in cows). 1/2

nice! thank you for explaining and for contributing to better open source statistical vis 💐

Norm, Frank, I love your substantiated opinions and stories from your long and fascinating careers, but just note this deborah thingy is a bot ❤️

I remember the same poasters taking a dump on sklearn (and python by extension) for defaulting to ridge also fiercely advocating for weakly informative bayesian priors.
the internet can be a funny place i guess.

לאן נעלמות הנשים בהייטק: הסוד שיביא נשים למדעי המחשב  

there was even a piece about it being an outlier (most of the content is in the video, but the google translate of the page is ok)
www.globes.co.il/news/article...

but although the better starting point, the funnel works harder for women as they advance in degrees/career, especially true for bioinf

congrats! it's interesting, the computational biology department in my alma mater was always proud of being much more gender balanced than its parental computer science faculty - hypothesizing men were drawn more to the "computation" and women to the "biology", and then everyone just had to make do😅

Somewhat better (solved the hierarchy-like artifact) and somewhat worse (data to area usage).
I actually like these pixel-like variations Matt showed better than the chunkier sub areas Mason and friends propose in their vignette.
But it's only, like, my opinion.
bsky.app/profile/mjsk...

Likewise, but if a visualization requires a manual i'd argue it's a bit counterproductive.
Wonder if it applies better to other area charts that do not come with the same historical/familiarity baggage like the US map has