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Great analysis. How is divisiveness actually calculated?


the most divisive topic seems to be "gnome" with 0.82 on the divisiveness scale

that's really "hacker", a worthy first place


more like h4x0r


search "divisive" here: https://github.com/outerbounds/hacker-news-sentiment/blob/ma...

I actually spent 10 minutes trying to see if there are obvious tests for U-shaped distributions. I'd love to hear if anyone has ideas here.




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