M Loecher

Note:

  • Every bullet below provides (first) a direct link to the audio excerpt (on github) as well as a link to the original episode on freakonomics.com with time information
  • Until Airr becomes available for Android I am going to have to manually extract passages from podcasts that I really like, sigh. Maybe the required substantial manual work acts as a filter for not overloading this page.

The Economist

Freakonomics Radio

Freakonomics

People I (Mostly) Admire

The following semi serious quotes are from a bonus episode introducing the new podcast People I (Mostly) Admire which can actually be watched instead of just listened to.

Life Advice

No Stupid Questions

Correlation/Causation

Natural Experiments

Humor

IQ Magazin

Die Sogenannte Gegenwart

Jordan Peterson

Machine Learning Podcasts

TWIML AI

“Fairness” debate running out of control

Man, these increasingly extreme definitions of “racism” are so absurd; I find it dangerous that they are being disseminated by established academics who also communicate well, appear convincing/smart and are convinced/inspired by their ideas.

Listen in for 5 minutes (although it’s worth listening to the whole podcast because you’ll lose faith): https://open.spotify.com/episode/1QxvMbmP9JZ274jge4Er6V?si=RfH3VnLjQRqKRHU-_lHGuA&t=821

https://twimlai.com/podcast/twimlai/facebook-abandons-facial-recognition-should-everyone-else-follow-suit-luke-stark/

Absolute highlights: “all facial recognition is fundamentally racist” “Does that extend to like face unlock for your phone? Is that fundamentally racist?” “I think it is. Because just by the act of decide deciding to put numbers to your face, right? … these facial unlock systems are making a kind of judgement about what a face is?”

“textbook definition of racism: using kind of external physical quantification, physical physical features and making judgments about an individual based on those features”

Statistical Literacy