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thomanish.bsky.social
@thomanish.bsky.social
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p-hunermund.com
"When you try your best, but you don't succeeeeeeeeeed"
odedrechavi.bsky.social Oded Rechavi @odedrechavi.bsky.social · 8d
Submitting a grant you’re not eligible to get
December 18, 2025 at 8:51 AM
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sorenspicknall.bsky.social
Learned today that around 1990, Mercedes-Benz briefly offered a "mobile office" package for the W126 S-Class that included a fully functioning printer, scanner, and fax machine built into an armrest.
A photo of the leather rear seats of a 1990s executive sedan with a built-in laptop that folds down into a writing desk, a corded phone, and a very bulky center armrest with a black plastic fax machine built into it. A closer look at an example of the armrest fax machine, whose exterior identifies it as an AEG Olympia Roadfax
December 3, 2025 at 2:56 AM
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johnholbein1.bsky.social
"Prediction Markets? The Accuracy and Efficiency of $2.4 Billion in the 2024 Presidential Election"

osf.io/preprints/so...
December 2, 2025 at 7:42 PM
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alsweigart.bsky.social
There's a video course that follows the "Automate the Boring Stuff with Python" book on Udemy. Here's a free sign up code for lifetime access: inventwithpython.com/automateudemy
Automate the Boring Stuff with Python Programming Course
A practical programming course for office workers, academics, and administrators who want to improve their productivity.
inventwithpython.com
December 2, 2025 at 1:35 PM
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johnholbein1.bsky.social
"Media Persuasion and Consumption: Evidence from the Dave Ramsey Show"

papers.ssrn.com/sol3/papers....
December 1, 2025 at 7:51 PM
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grenzfurthner.bsky.social
Good old Woz. Good for him.
November 21, 2025 at 8:06 PM
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noamchompers.bsky.social
Getting journal rejections like
November 21, 2025 at 5:50 PM
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blakesquest.bsky.social
It’s never a bad time for this meme, but International Men’s Day might be the best time
Header: Choose Your Mentor Young Man Top panel: alpha male e-celeb (Jordan Peterson and Andrew Tate pictured and saying unhinged shit) Bottom panel: friendly guy you met in the pub (aggressively British guy holding a pint of beer and saying supportive things)
November 19, 2025 at 7:19 PM
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brendannyhan.bsky.social
From my colleague; paper here dropbox.com/scl/fi/55uok...
joshmccrain.bsky.social Josh McCrain @joshmccrain.bsky.social · Nov 18
new paper by Sean Westwood:

With current technology, it is impossible to tell whether survey respondents are real or bots. Among other things, makes it easy for bad actors to manipulate outcomes. No good news here for the future of online-based survey research
November 18, 2025 at 8:10 PM
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emilyriederer.bsky.social
Great taxonomy for managers, as well! So important to be clear when feedback is a must-have, nice-to-have, or curiosity question you don’t reasonably expect to get answered
andrew.heiss.phd Andrew Heiss @andrew.heiss.phd · Nov 17
I recently discovered Conventional Comments (conventionalcomments.org) for providing a pseudo-standard set of labels for feedback and just tried it for an article review and it was really helpful to specify issues vs. thoughts vs. suggestions, etc. Hopefully it's helpful for the authors too!
We strongly suggest using the following labels: praise: Praises highlight something positive. Try to leave at least one of these comments per review. Do not leave false praise (which can actually be damaging). Do look for something to sincerely praise. nitpick: Nitpicks are trivial preference-based requests. These should be non-blocking by nature. suggestion: Suggestions propose improvements to the current subject. It’s important to be explicit and clear on what is being suggested and why it is an improvement. Consider using patches and the blocking or non-blocking decorations to further communicate your intent. issue: Issues highlight specific problems with the subject under review. These problems can be user-facing or behind the scenes. It is strongly recommended to pair this comment with a suggestion. If you are not sure if a problem exists or not, consider leaving a question. todo: TODO’s are small, trivial, but necessary changes. Distinguishing todo comments from issues: or suggestions: helps direct the reader’s attention to comments requiring more involvement. question: Questions are appropriate if you have a potential concern but are not quite sure if it’s relevant or not. Asking the author for clarification or investigation can lead to a quick resolution. thought: Thoughts represent an idea that popped up from reviewing. These comments are non-blocking by nature, but they are extremely valuable and can lead to more focused initiatives and mentoring opportunities. chore: Chores are simple tasks that must be done before the subject can be “officially” accepted. Usually, these comments reference some common process. Try to leave a link to the process description so that the reader knows how to resolve the chore. note: Notes are always non-blocking and simply highlight something the reader should take note of.
November 17, 2025 at 7:01 PM
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weeder.bsky.social
A grey blue washed image of a bearded young ish white guy looking into the mirror all serious with his palm pressed against it. A serif font title reads: DID I JUST ARGUE WITH A JOKE? A semi opaque navy snoot near the bottom bears the bluesky logo and the text PART OF A BLUESKY EDUCATIONAL SERIES
October 23, 2025 at 8:14 PM
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daveevansphd.bsky.social
I love how this comedy sketch starts out being about real teacher concerns and then morphs into something very different. youtu.be/8AeCo3AD1cM?...
Confused Teacher Crashes Out Over His Job | Mitchell and Webb Are Not Helping | Channel 4 Comedy
YouTube video by Channel 4 Comedy
youtu.be
October 17, 2025 at 1:08 PM
Reposted by thomanish.bsky.social
7 reasons to use Bayesian inference!
statmodeling.stat.columbia.edu/2025/10/11/7...
7 reasons to use Bayesian inference! | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
October 11, 2025 at 1:54 PM
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carnage4life.bsky.social
OpenAI has leapfrogged SpaceX to become the world’s most valuable company with a valuation of $500B.

The company authorized current and former employees to sell $10.3B in stock of which $6.6B was sold.

34% of the stock not being sold is a sign some employees still expect more upside and held.
October 3, 2025 at 1:27 AM
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rmcelreath.bsky.social
Was asked about collinearity again, so here's Vahove's 2019 post on why it isn't a problem that needs a solution. Design the model(s) to answer a formal question and free your mind janhove.github.io/posts/2019-0...
tl;dr Collinearity is a form of lack of information that is appropriately reflected in the output of your statistical model. When collinearity is associated with interpretational difficulties, these difficulties aren’t caused by the collinearity itself. Rather, they reveal that the model was poorly specified (in that it answers a question different to the one of interest), that the analyst overly focuses on significance rather than estimates and the uncertainty about them or that the analyst took a mental shortcut in interpreting the model that could’ve also led them astray in the absence of collinearity. If you do decide to “deal with” collinearity, make sure you can still answer the question of interest.
October 1, 2025 at 5:29 AM
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paulgp.com
“I first started doing Very Simple Thing2 with Snarfus, but the more I used it the more I saw the potential! Despite the jaggle of the chromus, it’s really multi-purpose. And that’s what led me to argyling the pintafore with the quagmire instead of the hoobastank! “
September 24, 2025 at 1:28 AM
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dingdingpeng.the100.ci
Very interesting post on how the non-profit Feeding America implemented an auction system with its own currency which massively improved allocation of food to food banks.

www.worksinprogress.news/p/how-market...
How market design can feed the poor
America's largest non-profit had a broken distribution system. University of Chicago economists fixed it.
www.worksinprogress.news
September 16, 2025 at 8:08 AM
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chriscardsfan.bsky.social
I don’t think I’ve seen a cleaner summation of the American strengths in WW2 that contributed to Allied victory.
In retrospect, weakness had one large advantage. Because American officers were trained to look ahead at a massive mobilization of all types of units, they gave great stress to matters of supply and lo-gistics. After all, unless troops were going to starve to death in basic training or go to war with broomsticks, these matters required thought. American officers shared the pragmatic character of their countrymen and were not hindered by any irrational cult of the war-rior. This has often been criticized. The Army approached its task in a very businesslike way. It wanted mobility, firepower, and staying power. That meant it planned an Army built around mechanization, artillery, and aircraft backed by a massive supply base. In many ar-mies, Japan was a prime example, matters of supply were looked upon as the realm of second-rate officers. If Hitler had chosen an American officer to lead the Wehrmacht into Russia, the Führer would have received lengthy memos concerning trucks, mud, high-viscosity motor oil, and dozens of other subjects of weighty bore-dom. The sort of officer who studied railway timetables before World War I was discredited in Germany, Japan, and Russia. This was not the case in the United States. Over time such an attitude paid off handsomely. Although the Army proved far too weak to create good infantry at the start of the war, when the machine finally began to roll in mid-1943, the results were impressive. When
July 29, 2025 at 12:34 AM
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jbakcoleman.bsky.social
Causal inference is always so much more gnarly that it seems it should be.
July 22, 2025 at 1:54 AM
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fennert.bsky.social
@garymarcus.bsky.social got Imagen 4 to draw and label the parts of a bike. The image gets funnier the longer you look.
June 26, 2025 at 7:10 PM
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dingdingpeng.the100.ci
I’m in awe. Didn’t even have limecat on my bucket list.
syeducation.bsky.social moin syed @syeducation.bsky.social · Jun 24
If for no other reason, you should read our new paper on mixed methods in psychology because we managed to get limecat in there. doi.org/10.1177/2515...
June 25, 2025 at 8:36 AM
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carnage4life.bsky.social
Both of these people will accurately state that AI has made them more productive and saved them time.
June 19, 2025 at 1:27 AM
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emilyoram.bsky.social
This is incredible
June 11, 2025 at 1:34 PM
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dingdingpeng.the100.ci
“idgaf what these results mean, I just want bad number to go down”
May 16, 2025 at 6:35 AM
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carnage4life.bsky.social
*rolls up sleeves*

Time for another productive day…
May 8, 2025 at 5:18 PM