I’m defining this around if the 10th most active user in February was active a higher % of the time than the 10th most active user in January; if so, this will Resolve YES.
In January, the 10th most active user was @shankypanky who was active in 20.1% of all buckets. Will the 10th most active user in February fill >=20.2% of all buckets?
A user is considered active if they have posted a comment, made a market, or bet in a markets. Buckets are 10minute intervals dividing up the month.
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🏅 Top traders
| # | Name | Total profit |
|---|---|---|
| 1 | Ṁ156 | |
| 2 | Ṁ58 | |
| 3 | Ṁ8 | |
| 4 | Ṁ7 | |
| 5 | Ṁ7 |
This reminds me of that Scott Alexander post about how most internet content is produced by a small number of people who spend so much time online they must be clinically insane lol
Like seriously, 35.5% activity means on average >8h per day
I consider myself having a problem, but even I rarely spend >3h here in a single day, and more often probably spend closer to ~1h by my informal estimates
@TheAllMemeingEye well it’s not really 35% of all minutes, but of 10-minute buckets. I (and I believe others) keep a window open as I do other stuff, waiting for opportunities to correct markets, place a trade or two, maybe spending 1-2 minutes within that 10-minute window. So the 35% likely overstates true activity by 5x.
1. Bayesian active in 1484 buckets (35.5%)
2. Joshua active in 1381 buckets (33.1%)
3. Lion active in 1308 buckets (31.3%)
4. shankypanky active in 1202 buckets (28.8%)
5. mattyb active in 1189 buckets (28.5%)
6. Gus active in 1171 buckets (28.0%)
7. ChristopherRandles active in 1149 buckets (27.5%)
8. Tumbles active in 1050 buckets (25.1%)
9. Ziddletwix active in 998 buckets (23.9%)
10. deagol active in 973 buckets (23.3%)
Resolves YES @mattyb
@chrisjbillington when i got the noti from your market the other day, I was like, “where tf has Chris been?”
@mattyb yes, no probs.
Btw, not sure what is meant in the description by saying the buckets are "random", I've been considering all ten minute intervals obtained by splitting up the month, not a random subset or anything like that.