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Bet On It

betonit.substack.com · Group blog · on HN since 2022

Bet On It is Bryan Caplan's Substack on economics, education, social policy, and contrarian arguments.

What HN saysHN commenters discuss his posts critically, with one thinking a post read as satire and another calling his course material overtly political.
23HN people shared it
3linked it in comments
48stories submitted
342story points
3 years agolast shared
2022people per year2026

Most-shared posts

  1. 1
    Why aren’t extraverts rich?
    2 people · 16 points · first shared 2022 · 19 comments on HN
  2. 2
    Boot Camp: A Business Saga
    2 people · 15 points · first shared 2022 · 11 comments on HN
  3. 3
    GPT Retakes My Midterm and Gets an A
    2 people · 3 points · first shared 2023 · discussion on HN
  4. 4
    10% Less Stagnation
    2 people · 2 points · first shared 2023 · discussion on HN
  5. 5
    Basement Fertility
    1 people · 137 points · first shared 2022 · 232 comments on HN
  6. 6
    Cancelling Student Debt Is Unforgivable
    1 people · 36 points · first shared 2022 · 82 comments on HN
  7. 7
    The Ironclad Argument Against Racism
    1 people · 29 points · first shared 2022 · 45 comments on HN
  8. 8
    School Choice, Sorry I Underrated You
    1 people · 20 points · first shared 2022 · 15 comments on HN
  9. 9
    Explaining the LGBT Explosion
    1 people · 19 points · first shared 2022 · 15 comments on HN
  10. 10
    Brain on News
    1 people · 5 points · first shared 2023 · discussion on HN
  11. 11
    Self-Hating Signaling
    1 people · 5 points · first shared 2024 · 1 comments on HN
  12. 12
    Barbie Defines Feminism
    1 people · 4 points · first shared 2023 · 1 comments on HN
  13. 13
    There's Nothing Like a Train
    1 people · 3 points · first shared 2022 · discussion on HN
  14. 14
  15. 15
    Explaining the LGBT Explosion – Comments
    1 people · 3 points · first shared 2023 · discussion on HN

What HN people wrote when they linked it

0xDEAFBEAD · 2023-12-20
I was talking to my younger sister (college student) the other day, and she mentioned that she and her friends are very reluctant to post their opinions online, especially under their real names. This was a bit of a surprise to me, because she volunteers for the Democrats and is openly lesbian, so I would have thought her opinions are generally a great match for the current cultural milieu. I think maybe part of the puzzle is described well by Bryan Caplan: >Who fears the left? Strangely, the main answer seems to be: leftists. I talk to a wide range of people in academia about left-wing anger and the fear it sustains. As you’d expect, the people who are most outraged by the climate of fear are non-leftists. But the people who personally experience the most fear are leftists themselves. In my private conversations, some of the most boring milquetoast technocratic leftist scholars have grimly foretold that somehow, someday, a mob of their own ideological persuasion will come for them. https://betonit.substack.com/p/leave-anger-behind In any case, she told me about one or two of her HS classmates who were actually serious in their use of social media, and how they were weird and almost maybe even poorly adjusted relative to the rest of the class. Point being that even the youth culture you see online could just be the tip of the iceberg. (Or maybe my sister's peer group is unusual! Hard to say.)
marcellus23 · 2023-04-08
No. I actually thought the post was satire because of how overtly political the questions and answers are. edit: The material from his course[0] is all pretty similar. It's hard to believe this guy is a real professor. 0: https://betonit.substack.com/p/my-new-policy-class?utm_source=%2Fsearc…
ankit219 · 2023-02-02
It's optimization for PR and defense against bad press. For every question, a subtext is: "Who is likely to input that question, how likely are they to input it, and if the answer is bad by their belief system, they are likely to tell the world and/or outrage about it?" A general model of operation in creating outrage[1] is: 1. Find the most extreme example of X 2. Tell the world. Democrats and left leaning were more likely to do that. And openai optimized for that. It's a smart move. [1]:https://betonit.substack.com/p/anti-woke-from-outrage-to-action

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