First observation: the users with the best USD/karma exchange rate made modest contributions early.
We have a thread from the last Challenge where the time aspect is roughly equal for all posts. Perhaps the data there will control for this time variable.
Hyperbolic discounting is alive and well.
Potentially not the case; if you allow that some fraction of the upvoters are not aware of the 12-months-matched and are upvoting based on 1-month-matched, the discounting might disappear.
Large donations are really inefficient at netting karma.
Potentially not the case; if you allow that some fraction of the upvoters are not aware of the 12-months-matched and are upvoting based on 1-month-matched, the discounting might disappear.
While they might not be aware of 12-months-matched, 1000/mo should still rank significantly higher than 2000, and it doesn’t.
This screams karma = log(dollar amount) to me.
Me, too; it coheres with what I know about how humans cope with large numbers. I had tried a log regression, but there’s just not enough data...
First thoughts and impressions....
We have a thread from the last Challenge where the time aspect is roughly equal for all posts. Perhaps the data there will control for this time variable.
Potentially not the case; if you allow that some fraction of the upvoters are not aware of the 12-months-matched and are upvoting based on 1-month-matched, the discounting might disappear.
This screams karma = log(dollar amount) to me.
While they might not be aware of 12-months-matched, 1000/mo should still rank significantly higher than 2000, and it doesn’t.
Me, too; it coheres with what I know about how humans cope with large numbers. I had tried a log regression, but there’s just not enough data...
More data!