The frustration of diversity efforts in STEM
summary
Argues that claimed biological causes for low female representation lack supporting leaps and that common fixes fail: implicit-bias training shows little impact, McKinsey finds companies in top diversity quartile are ~35% likelier to outperform, medical school female graduates jump from 16% to 40% in two decades, a DataCamp harassment case triggers community-led accountability, and evidence from Sweden suggests zipper quotas raise overall quality while workplace harassment metrics remain alarmingly high.
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chapters (23)
- 0:00Diversity efforts in STEM
- 2:15Biological determinism critique
- 5:08Free choice argument flaws
- 7:39Gender segregation origins
- 10:10Women in workforce history
- 12:36Why computer science faces more scrutiny than other fields
- 13:40Wage discrimination in STEM
- 15:13Diverse workforce benefits
- 16:17Implicit bias training limits
- 20:35Gender quotas case
- 23:52Tech workplace conditions
- 25:19DataCamp scandal case
- 28:59Action against misconduct
- 31:08Rebuilding trust after failure
- 32:12Harassment at conferences
- 34:21Power and sexual violence
- 36:50Colonialism’s gender impact
- 38:55Solutions to harassment
- 40:21Leaky pipeline flaws
- 41:25Allies driving change
- 42:48Slow STEM gender progress
- 43:30Call to STEM leaders
- 44:19Q&A: Worst Data London behavior
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