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1. throwa+rz[view] [source] 2020-11-10 19:36:19
>>bluu00+(OP)
This place is amazing, and I learned so much about a variety of topics. Most of my MD colleagues use Twitter or Facebook, where the signal-to-noise is much, much lower. I assume there have been plenty of spin-offs from HN (I would LOVE to have a similar forum for discussing medical issues; Can I fork the codebase somehow?), but I do think the secret sauce is moderation.

Also, politically, I'm "an enlightened centrist" lol and nearly all of the political spectrum here is represented well IMO, and even personal attacks/strawman arguments are not immediately banned but first discouraged.

Thanks dang!

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2. saagar+pF[view] [source] 2020-11-10 19:58:35
>>throwa+rz
Twitter can have a very high signal-to-noise ratio if you follow the right people.
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3. pratik+Vf1[view] [source] 2020-11-10 23:00:45
>>saagar+pF
I followed a lot of economists (ie Robert Reich, Krugman, etc) thinking they would post interesting economics related content. They do, but it turns out that they are ordinary humans who like posting the same tweets (and rants) that I would post.

I don't think Twitter can have the same signal to noise ratio as a well moderated forum like HN, even if you follow the "right" people, because the format of the site incentivizes a different style of discussion.

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4. SkyMar+Rx1[view] [source] 2020-11-11 01:05:29
>>pratik+Vf1
> I followed a lot of economists (ie Robert Reich, Krugman, etc) thinking they would post interesting economics related content.

I think you have to stop following famous people like those guys, and instead follow up-and-coming economists and other scientists and bleeding edge researchers/builders, who are working hard to make a name for themselves with novel research in some interesting area.

Those are more likely to keep their Twitter feed focused on their research, rather than off-topic tweets, rants, political advocacy and "influencer" stuff people do once they become famous.

Also, the community of people who engage with them tend to be similarly focused, so you can find more high S:N folks to follow in their discussions.

If you curate your Twitter feed to just those types, you get a very high S:N ratio there.

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5. rattra+gP1[view] [source] 2020-11-11 04:12:46
>>SkyMar+Rx1
This is a really good idea.

Any accounts you'd recommend in particular?

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6. SkyMar+TY2[view] [source] 2020-11-11 16:42:04
>>rattra+gP1
A few that come to mind are:

The New England Complex Systems Institute - https://necsi.edu/ (Twitter link at top right)

London Math Lab’s Ergodicity Economics group - https://ergodicityeconomics.com/ (Twitter feed in left column)

Any PI running a research project of interest to you at the Santa Fe Institute - https://www.santafe.edu/

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