Michael Boo-tancourt
@betanalpha.bsky.social
2.7K followers 160 following 1.6K posts
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Posts Media Videos Starter Packs
Pinned
betanalpha.bsky.social
Are you excited about the elegant philosophy of Bayesian inference, but struggling to see how it can be applied beyond the idealized examples in introductory texts and tutorials? Over the past few months I’ve released a series of demonstrative analysis that might help. 👇
Reposted by Michael Boo-tancourt
konsta.happonen.eu
Relatedly, ages ago @betanalpha.bsky.social wrote "Remember that using Bayes' Theorem doesn't make you a Bayesian. Quantifying uncertainty with probability makes you a Bayesian". I still think about this regularly.
Reposted by Michael Boo-tancourt
banalplay.bsky.social
When your custom character appears in a cut scene
The Portland frog backing down an army of jackboots
Reposted by Michael Boo-tancourt
betanalpha.bsky.social
Friendly reminder that on Dec 10 I will be offering my Bayesian regression modeling course at a steep discount in an effort to raise funds for World Central Kitchen and United Farm Workers. Details about the course and registration process can be found on my website, betanalpha.github.io/courses/.
Courses
betanalpha.github.io
betanalpha.bsky.social
Friendly reminder that on Dec 10 I will be offering my Bayesian regression modeling course at a steep discount in an effort to raise funds for World Central Kitchen and United Farm Workers. Details about the course and registration process can be found on my website, betanalpha.github.io/courses/.
Courses
betanalpha.github.io
betanalpha.bsky.social
Good news! There’s nothing predictive about them. Functions like that implement _retrodictive_ comparisons, making them PR checks which is slightly less embarrassing to say.

<steps off soapbox>
Reposted by Michael Boo-tancourt
dopestatistics.bsky.social
Telling my professor I cant turn in my homework because my expected value is now sentient
Reposted by Michael Boo-tancourt
Reposted by Michael Boo-tancourt
cscheid.net
In case it isn't clear: it's obviously the right thing because

1) one of those two options is easy to undo.
2) Given the choice, a command that is easy to undo should always be the easiest to reach for.
Reposted by Michael Boo-tancourt
bghgmg.bsky.social
gender norms admit the existence of gender metrics which can be abstracted to gender topologies which, here, we categorify into gender locales, also known as pointless genders
Reposted by Michael Boo-tancourt
Reposted by Michael Boo-tancourt
chelseaparlett.bsky.social
HMC: *has lots of divergent transitions*

Me: *fixing it*
Russel from up saying “the target distribution must be explored”
Reposted by Michael Boo-tancourt
betanalpha.bsky.social
On Wed, Dec 10 I will be offering my comprehensive introduction to regression modeling at a steep discount in an effort to raise funds for World Central Kitchen and United Farm Workers. Details about the course and registration process can be found on my website, betanalpha.github.io/courses/.
Courses
betanalpha.github.io
betanalpha.bsky.social
On Wed, Dec 10 I will be offering my comprehensive introduction to regression modeling at a steep discount in an effort to raise funds for World Central Kitchen and United Farm Workers. Details about the course and registration process can be found on my website, betanalpha.github.io/courses/.
Courses
betanalpha.github.io
Reposted by Michael Boo-tancourt
thegatesofmel.blacksky.app
This has had me #enshambled for two days.
Reposted by Michael Boo-tancourt
Reposted by Michael Boo-tancourt
joshgondelman.bsky.social
Sure there’s no ethical consumption under capitalism but some of it is waaaaay less ethical.
betanalpha.bsky.social
The key insight is that OR = 1 <-> p = 1/2 <-> symmetric line. Anything larger is a steeper line that moves towards p = 1, and anything smaller is a steeper line that moves towards p = 0.
betanalpha.bsky.social
I don't think there's anything that will satisfy anyone expecting a one sentence explanation (which, sadly, is most people) but given little bit of time I think the geometric picture where the odds ratio is a slope,
OR = N_success / N_failure
N_success = OR * N_failure
is reasonably intuitive.
Reposted by Michael Boo-tancourt
lolennui.bsky.social
ladies if he’s a matador that is a huge red flag
Reposted by Michael Boo-tancourt
mrgeorgewallace.bsky.social
What a weird-ass Rapture. Only the Constitution disappeared.
Reposted by Michael Boo-tancourt
betanalpha.bsky.social
Full agreement with Danielle that odds ratios are strictly less interpretable, and hence useful, than probabilities when considering a homogeneous behavior. That said odds ratios do have some utility when considering _heterogeneous_ behaviors.
betanalpha.bsky.social
"Alternatively this connection makes it clear that understanding logit probabilities is as subtle and complex as understanding special relativity, which may help set the proper expectations when approaching this material!"
betanalpha.bsky.social
Anyways for much more see Section 2.2 of betanalpha.github.io/assets/case_... (and the appendix if you want to learn how to impress your friends by dropping "rapidity" in casual conversation).
General Taylor Models
betanalpha.github.io