Stephen Wild

a man with a beard is holding a pair of gloves and says jazz hands Alt: a man with a beard is holding a pair of gloves and says jazz hands

My keen insight brought to you by

*jazz hands*

The need for and use of panel data Panel data provide an efficient and cost-effective means to measure changing behaviors and attitudes over time

Maybe:

doi.org/10.15185/iza...

The academic publiahing system won't collapse because systems tend to find ways to reproduce themselves.

A bunch children earn more than their parents but then suddenly earn less. Yeah, that's it.

The Phoebe/Joey speaking French meme. Phoebe: We need... Joey: We need... Phoebe: To study... Joey: To study... Phoebe: Life as it is lived Joey: Life as it is lived Phoebe: We need to study life as it is lived. Joey: We need to design more stringent lab experiments!

There's a discussion on my TL about whether you'd expect studies from the 90s to replicate in the 20s given that the situational context has changed, and it feels like everyone involved is *so* close to getting it but the hegemony of experimental methods in US social psych is proving a mental block.

The solution is to limit As to 20% of all grades 😉

One of those legendary pieces of online statistical lore that everyone needs be aware of.

What's important is I like neither of them.

I'm not American and I understand it. Sadly the ground here is covered in snow so I can't actually touch grass.

With very large numbers of n’s you don’t need randomization, and with LLM’s we can generate very large numbers of n’s, so I think all of science is solved by now. I don’t see any problems with this.

I haven't read the book or seen the movie, so this reference is lost of me. To Gemini of an explanation! :-p

If anything I underestimate what they can do because I am cheap and refuse to pay for premium subscriptions

Either way, I still think what they can do is impressive, even if I think it premature to be declaring consequences like "the end of [X]"

Part of that investment may reflect the culture of AI companies, and part of it may reflect that these areas are places where it's easier to verify outputs, and part of it may be that's where the demand for them is. I'm very curious to see how they perform once we get outside that domain.

Interesting.

I am still relatively agnostic as to LLMs, Agents, and their abilities, and how I see them affecting different areas. This gives me something else to think about.

So far, the strongest "effect" of LLMs seems to be a compulsion to see this technology outside of history, and attributing pathologies to them that predate them. It's a bad way of thinking about this or any technology.

So it's nice to see a takes that come at it from different angles (apprenticeship and the normative role of professors)

It's interesting to see some of the takes on the article (yes, I succumbed to the bait)

In rough order:

1) AI doesn't do as good of job as humans
2) if you use AI, did you actually do the work?
3) AI is excellent and can replace [X] of the workflow
4) the publication system/science is doomed

Agreed. Maybes "advances" was not the right word. "Moves," maybe?

...the problem is in dealing with the quantity of output that advances knowledge little or not at all.

I disagree slightly here, in that I see science qua knowledge production as following a power law. Most of the time knowledge is advanced little or not at all, but some advances are massive. More knowledge production = more advancement (eventually)...

Hey #stats folk, I'm looking for some great (but concise) YouTube vids about likelihood functions & estimation (MLE, properties, Fisher information, std errs).

These would serve students taking my Bayesian course that didn't take the preceding likelihood course (that is taught by someone else).

Yes, I succumbed to the bait.

🤔

Interesting and useful perspective

But see for an alternstive:

www.cambridge.org/core/journal...

In Canada 5 year terms are the most popular by far

👀

bsky.app/profile/akhi...

Yes but

bsky.app/profile/step...

*academic science