This is still a bit misleading visually, because the population numbers for the bars are totalled, not distributed among the partner counts within each category. Eg. each partner count within the 2-10 partner bar has an average of ~5% of the population, which is less than the 0-partner bar, but they add up to ~45%, more than the 1-partner bar.
For every person who fucked 30 people, you need 6 people who never had sex to bring the average back to 5. I find 5 to be impossibly low, even as someone who’s number is 5.
Well there are also a few who are way above the average dragging it back up again. We need to see a distribution curve
data from this other comment
This is still a bit misleading visually, because the population numbers for the bars are totalled, not distributed among the partner counts within each category. Eg. each partner count within the 2-10 partner bar has an average of ~5% of the population, which is less than the 0-partner bar, but they add up to ~45%, more than the 1-partner bar.
Red line appears to be total by specific percentage (maybe smoothed?)
Oh yeah, true! Although that reveals that we’re missing fine-grained data above 0 and 1, so even with smoothing it’s not very detailed
Perfect! Thanks!
For every person who fucked 30 people, you need 6 people who never had sex to bring the average back to 5. I find 5 to be impossibly low, even as someone who’s number is 5.
Eyy… How you doin’, eh?
(Sorry. “Beacon” and “distribution curve”? I couldn’t not.)