Robin

[Robin @robin_mthw]

@johnstanly Wow amazing analysis! Great work!

[Maxfield on Banks @MaxfieldOnBanks]

MY 20 FAVORITE BOOKS

20. Killing Pablo by Mark Bowden

The story of finding and killing Pablo Escobar, told by Mark Bowden, one of the best storytellers in the geopolitical space.

[Nassim Nicholas Taleb @nntaleb]

The headline is misleading (Spitz is not "bearish"). But here is an occasion to note that markets know no moderation.

https://t.co/C7N8NyJ33s

[Rhys Arkins @rarkins]

@robin_mthw @razibkhan For me it's been over one year since they received my kit

[Richard McElreath 🐈‍⬛ @rlmcelreath]

I have finally worked through all of @avehtari & Gelman's "Active Statistics". Advertised as a resource mainly for stats instructors, I think it's prob just as useful for students and self-learners. The case studies alone would be a worthwhile text. https://t.co/Enbl2GMhy4

[Robin @robin_mthw]

@razibkhan Dante Labs is a scam. They don’t return your results not respond to emails. It’s been months and haven’t received my results nor any confirmation that they are working on the results. I ordered from them based on this same post last year. Check BBB, many similar complaints.

[Jon Erlichman @JonErlichman]

"Everything around you that you call life was made up by people that were no smarter than you. And you can change it.”

~ Steve Jobs

[Richard McElreath 🐈‍⬛ @rlmcelreath]

Just uploaded the final solution set for my course for this year. There are nine (like the circles of hell) problem sets and elaborate solution guides available, ranging from intro probability theory to advanced multilevel modeling. Feast your mind freely: https://t.co/O7xFIbqqaH

[Robin @robin_mthw]

Awareness of our minds in/ability to calculate likelihoods of events determines our happiness and success in life.

[Robin @robin_mthw]

@donlayman @BioLayne Please review this next…

Identification of a leucine-mediated threshold effect governing macrophage mTOR signalling and cardiovascular risk

https://t.co/86MP0wUTK8

[Alan Couzens @Alan_Couzens]

Our biggest problem: We focus too much on the wrong time-frames...

The two perspectives that matter:

The decade and the day.

A year is too short for exciting gains, but with 10 years of consistent work you can master just about anything.

*Providing* you keep doing the right thing day... after day.... after day.

[Aswath Damodaran @AswathDamodaran]

I will be teaching my valuation and corporate finance classes at NYU's Stern School of Business in the spring, and as always, you are welcome to join. You can virtually take the class, access the material and even take the exams. https://t.co/mlfsK9tKuy

[Robin @robin_mthw]

@Wildlaw406 Such a great follow!

[Layne Norton, PhD @BioLayne]

Is fructose uniquely fattening?

Is it uniquely bad for liver fat?

Since Robert Lustig made some of these claims recently (he's been saying this over a decade) many of you have asked my opinion

IMO the evidence does not support fructose being fattening outside of it's calories

[Robin @robin_mthw]

@doctorinigo Thank you! Makes sense, “earn the food you eat”

[Iñigo San Millán @doctorinigo]

Hard to say “Merry Christmas” when so many people around the world are suffering from human-inflicted pain.
But there is always hope for a better world and we must try to help each other more to achieve better days for all 🙏

[Richard McElreath 🐈‍⬛ @rlmcelreath]

Causal salad, causal design, causal inference. I did a 3 hour workshop in Leipzig yesterday on causal inference, aka why your regressions are garbage lolsob. Here's a recording of me covering the same content, I promise it's not boring: https://t.co/VGd9YyPsSe

[Dustin Haraden @dustinharaden.bsky.social @DustinHaraden]

Everyone needs to know about `easystats` in R

It is so much fun to use and then share with students

Teaching on regression and just used the check_model() function and look at this beautiful figure

[Richard McElreath 🐈‍⬛ @rlmcelreath]

The 2023 edition of my long-running anti-establishment art-science-fusion code-therapy smooth-baritone causal inference & Bayesian data analysis course is complete. 20 lectures, from the basics of causal inference & Bayesian updating to mixed models & Gaussian processes. 1/2