Robb Willer
@robbwiller.bsky.social
Professor of Sociology, Psychology, & Org Behavior, Stanford University
Director, Polarization and Social Change Lab, @pascl-stanford.bsky.social
Co-Director, Stanford Center on Philanthropy and Civil Society
Director, Polarization and Social Change Lab, @pascl-stanford.bsky.social
Co-Director, Stanford Center on Philanthropy and Civil Society
What should they have done instead?
November 19, 2025 at 11:03 PM
What should they have done instead?
I agree. This also highlights the peril of taking a moral purity approach to judging donations. Often, when ppl take money from a morally fraught person or organization, it just amounts to valuable resource redistribution.
November 19, 2025 at 10:17 PM
I agree. This also highlights the peril of taking a moral purity approach to judging donations. Often, when ppl take money from a morally fraught person or organization, it just amounts to valuable resource redistribution.
Reposted by Robb Willer
Find your local No Kings peaceful protest: www.nokings.org?SQF_SOURCE=h...
No Kings
As the president escalates his authoritarian power grab, the NO KINGS non-violent movement continues to rise stronger. We are united once again to remind the world: America has No Kings and the power ...
www.nokings.org
October 13, 2025 at 6:14 PM
Find your local No Kings peaceful protest: www.nokings.org?SQF_SOURCE=h...
Congrats, Hahrie! This is much deserved and wonderful to see.
October 8, 2025 at 6:22 PM
Congrats, Hahrie! This is much deserved and wonderful to see.
Reposted by Robb Willer
Also, you can't be simultaneously upset that the ML classifier gets things wrong and be upset at the thought of training on user data, because the two are mutually exclusive. The only way to get more accurate ML models is to retrain with real-world examples.
October 7, 2025 at 7:16 PM
Also, you can't be simultaneously upset that the ML classifier gets things wrong and be upset at the thought of training on user data, because the two are mutually exclusive. The only way to get more accurate ML models is to retrain with real-world examples.