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Mike Lawrence proslijedio/la je Tweet
Amazing resource to make sense and the most of reaction time distributions: https://lindeloev.github.io/shiny-rt/ pic.twitter.com/MZmfGiLTVG
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Mike Lawrence proslijedio/la je Tweet
Impostor syndrome is so pervasive because every single one of us got lucky somewhere along the way. The myth of meritocracy is bullshit: talent is equally distributed but opportunity is not. So channel your impostor syndrome into opening bigger doors than you had opened for you.
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Mike Lawrence proslijedio/la je Tweet
Ep. 6 of 'Learn Bayes Stats' is online! A thorough discussion w
@betanalpha from@mcmc_stan about a principled#Bayesian workflow, the difficulties of#modeling & Bayesian foundations.@rlmcelreath@StatModeling See you in your favorite podcatcher or athttps://learnbayesstats.anvil.app/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Good argument against the folks that deny structural racism exists: it’s so big it can be quantified in the behaviour of ai that is merely exposed to it.https://twitter.com/kareem_carr/status/1211731517145264129 …
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(And yes, there’s lots in the world worth attention/complaint and this is a very minor issue on the list. But also an easy fix)
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Hey audio engineers, I know you think it’s fun and in-on-the-joke to use the wilhelm scream, but it’s super immersion-breaking for those of us that can recognize it. I like a clever Easter egg as much as the next person, but this one is just tired
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Mike Lawrence proslijedio/la je Tweet
it’s only a GAM if it’s from the Gàmme region of France. Otherwise it’s sparkling splines.
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but I had fun implementing a pretty powerful hierarchical bivariate model that I think is useful as an intermediate step between traditional univariate analyses and the full process models (ex. diffusion, LBA, etc). 5/5
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I contributed mostly to the development of the attention test and Bayesian modeling (using
@mcmc_stan) thereof. There's room for even more advanced modelling, and the data/code is available for anyone to play with, ... 4/5Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I thought we'd maybe find that nature exposure made folks faster to respond overall, but didn't think that any more specific aspect of attention would be affected. Then the data thwarted my contrarianism, yielding posterior distributions that generally match theory preds 3/5
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Prior theory predicted specific aspects of attention should be affected, but existing tools to measure attention we not sufficiently nuanced to evaluate these predictions. So I developed a more rigorous test of attention and expected to have fun debunking the literature. 2/5
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A neat paper I co-authored was just published: https://www.frontiersin.org/articles/10.3389/fpsyg.2019.02652 … It uses a tool I developed/validated for my dissertation to test how time in nature affects attention. I actually joined the research team as a skeptic, feeling that evidence from prior research was weak. 1/5
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Can't decide if this is a terrible or brilliant data viz. First impulse was that it's terrible since you can't even see two of the slices, but then I realized that's kinda the point (that universal BRCA screening costs far more than it could save)pic.twitter.com/JpJOvHK0Yy
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Mike Lawrence proslijedio/la je Tweet
Methods Twitter, help me out. An intro stats student is looking for an example of a 'revolutionary' paper related to stats and methods. One that wasnt cited for years but then exploded in cites OR one that was cited a lot at first, but died out.
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Powerful call for ongoing cultural change:https://twitter.com/CarBombBoom13/status/1195001588495998978 …
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Mike Lawrence proslijedio/la je Tweet
What if it’s never decorative gourd season? https://statmodeling.stat.columbia.edu/2019/11/13/what-if-its-never-decorative-gourd-season/ …
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Mike Lawrence proslijedio/la je Tweet
brr brr brrrr: so excited to finally share the teaser for @EpiEllie’s and my podcast, Casual Inference! Let us know what you think!
http://casualinfer.libsyn.com/keeping-it-casual-the-pilot-episode-00 …
featuring fun intro music
jazzy segments
casual chats about epi & stats!
sponsored by @AmJEpiPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
When you remove the main effects, all interactions turn into pure cross-over interactions. Does this not undermine the proposed interpretation heuristics?
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A good summary by
@betanalpha on opportunities serving on the SGB will have (from: https://discourse.mc-stan.org/t/election-for-the-next-stan-governing-body/11465/15 …):pic.twitter.com/3nUnlYnSA0
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