Brad Taylor (@bradrtaylor) 's Twitter Profile
Brad Taylor

@bradrtaylor

Political theorist and part time economist at the University of Southern Queensland. Public choice, PPE, political epistemology.

ID: 48521627

calendar_today18-06-2009 22:52:17

355 Tweet

352 Followers

928 Following

ᛟ⛅️holyweather⛈️ᚹ (@_holyweather) 's Twitter Profile Photo

have you ever seen an experimental musician admit their experiment was a failure? of course not. Their methods are epistemologically unsound

Peter Woelert (@peterwoelert) 's Twitter Profile Photo

What drives admin burden at Australian universities and what can be done about it? I've written a piece for the Campus Morning Mail looking into these questions: campusmorningmail.com.au/news/what-unis…

Peter Woelert (@peterwoelert) 's Twitter Profile Photo

@kbguzzo @researchwhisper This is also reflected in the fact that institutions these days treat grants/external funding as an output. Which really doesn't make any sense really even if using an economic logic I guess.

Liam Bright (@lastpositivist) 's Twitter Profile Photo

But, like, if you are gonna go in on people for being ever so evil while they literally transfer their resources to the world's poor in a way that saves lives and you... like... write about how it would be good if things were better for the world's poor... then shut the fuck up.

neocentrist (@neocentrist) 's Twitter Profile Photo

Whenever you see someone call economics the "dismal science", make sure to explain that it refers to how economists opposed slavery.

tara 🇵🇸 🏳️‍⚧️ (@tarabomp) 's Twitter Profile Photo

One of the best Wikipedia photos, "Powerful owl on a suburban TV aerial, Chatswood West, New South Wales". Put this in the Louvre en.m.wikipedia.org/wiki/Powerful_…

One of the best Wikipedia photos, "Powerful owl on a suburban TV aerial, Chatswood West, New South Wales". Put this in the Louvre 

en.m.wikipedia.org/wiki/Powerful_…
Ethan Mollick (@emollick) 's Twitter Profile Photo

Humans are bad at detecting liars, we are right about lies 53% of the time (guessing would be 50%). Machine learning seems to do better, 60%-80% accurate. But, in this case, combining human judgement & machines actually backfires, since people incorrectly overrule the computer!

Humans are bad at detecting liars, we are right about lies 53% of the time (guessing would be 50%). Machine learning seems to do better, 60%-80% accurate.

But, in this case, combining human judgement & machines actually backfires, since people incorrectly overrule the computer!
Renee Bowen (@renee_bowen_lyn) 's Twitter Profile Photo

Misperceptions and low quality information result in polarization when agents learn from shared news---Now forthcoming @QJEharvard!! Huge thanks to co-authors Simone and Danil Dmitriev (on the market this year!) drive.google.com/file/d/122BwGL…

Misperceptions and low quality information result in polarization when agents learn from shared news---Now forthcoming @QJEharvard!! Huge thanks to co-authors Simone and <a href="/Danil_Dmitriev7/">Danil Dmitriev</a> (on the market this year!) drive.google.com/file/d/122BwGL…
Tyler Ransom (@tyleransom) 's Twitter Profile Photo

As I was grading my final exam for my upper-level undergraduate Economics of Education course, I decided to check how ChatGPT would do on the exam. Answer: ChatGPT scored a 77%, which was just slightly below the class average.