· @dasgrueneblatt
497 followers · 5527 posts · Server wien.rocks
Ben Waber · @bwaber
661 followers · 2464 posts · Server hci.social

Next was a fantastic talk by Joowon Klusowski on choice and illusion of control at . Through a series of rigorous experiments, Klusowski takes an absolute hammer to the notion that choice causes an illusion of control, showing instead that many of the effects of choice that are observed are due to pre-existing illusions. Highly recommend youtube.com/watch?v=Z4m_4TANQj (5/8)

#datacolada #psychology #behavioraleconomics

Last updated 1 year ago

Ben Waber · @bwaber
660 followers · 2452 posts · Server hci.social

Next was an interesting talk by Nina Mažar on providing performance feedback on organ donor registrations (with surprising results) at youtube.com/watch?v=LhoDGrY1EE (6/12)

#datacolada #psychology

Last updated 1 year ago

Ben Waber · @bwaber
629 followers · 2274 posts · Server hci.social

Next was a great talk by Ziad Obermeyer on predicting physician error at . This is another version of a talk that appeared on this list 7 months ago, but the discussion of this fascinating study context and the confluence of machine learning, management, and ethics, still makes it highly relevant youtube.com/watch?v=ARn4-GB6Cy (6/7)

#datacolada #MachineLearning #ethics

Last updated 1 year ago

Ben Waber · @bwaber
627 followers · 2267 posts · Server hci.social

Next was a fantastic talk by Betsy Levy Paluck on the state of prejudice reduction research at . tldr; there is a paucity of high-quality research that measures the effect of interventions to change attitudes and behavior, meaning that we simply don't know if any of what's out there actually works. An essential discussion ensues on what that means for research moving forward. Highly recommend youtube.com/watch?v=-9qiiqmCSp (9/10)

#datacolada #psychology

Last updated 1 year ago

Ben Waber · @bwaber
614 followers · 2237 posts · Server hci.social

Next was a great talk by Ioannis Evangelidis on diminishing sensitivity in choice at . After an introduction on sensitivity between options, Evangelidis shows through a number of experiments how people perceive value quite predictably (albeit a bit irrationally) youtube.com/watch?v=XJisLShY1C (5/8)

#datacolada #economics #psychology

Last updated 1 year ago

Ben Waber · @bwaber
612 followers · 2228 posts · Server hci.social

Last was an amazing talk by Sydney Scott on goal pursuit flexibility at . Using a pair of rigorous studies, Scott shows how people tend to prefer flexible goals for themselves despite perceived lower efficacy, but will pick more rigid goals for others. Highly recommend youtube.com/watch?v=CRPS64tMcL (10/10)

#datacolada #psychology

Last updated 1 year ago

Ben Waber · @bwaber
598 followers · 2156 posts · Server hci.social

Next was a fascinating talk by Joachim Vosgerau on statistical biases and misperceptions that can come from analysis at . Vosgerau shows that if one collects data in a non-representative way, it can lead to high levels of confidence in an extremely biased and incorrect result. Sadly, his follow up studies to try to correct perceptions of these analyses weren't able to move people to more critically evaluate large N analyses. Highly recommend youtube.com/watch?v=UJzlMFx72q (6/9)

#bigdata #datacolada

Last updated 1 year ago

[en] Cheating in Science: Harvard "Honesty Scholar" May Have Been Caught in Dishonesty

"... dishonesty can lead to creativity" - an interesting and somewhat amusing read.

The New York Times: "Questions about a widely cited paper are the latest to be raised about methods used in research."

datacolada.org/111

#datacolada #academic #cheating #fraud #harvard #gino #dredging #harking #phacking #dishonesty #honesty #researchhighlights #behavioral

Last updated 1 year ago

Ben Waber · @bwaber
595 followers · 2141 posts · Server hci.social

Next was an intriguing talk by Nick Yeung on confidence, trust, and decision making at . Yeung investigates these phenomena at a variety of levels, showing how people consistently discount other's predictions in a wide range of contexts (unless they agree with you) youtube.com/watch?v=i9xvEU6qgy (8/9)

#datacolada

Last updated 1 year ago