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→Brooke Jenkins: "only really" is non-scientific phrasing, if you look at the actual numbers it shows the heightpill consistently affects EVERY category, albeit not as extremely as we might think (possibly due to design flaws in study)
(→Brooke Jenkins: splitting, didn't notice 2nd study.) |
(→Brooke Jenkins: "only really" is non-scientific phrasing, if you look at the actual numbers it shows the heightpill consistently affects EVERY category, albeit not as extremely as we might think (possibly due to design flaws in study)) |
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===Brooke Jenkins=== | ===Brooke Jenkins=== | ||
Brooke N. Jenkins did a study published in 2015. A 14-page PDF for it will automatically download if you click https://journals.sagepub.com/doi/pdf/10.1177/1474704915604563 | |||
It showed as height increases, average partner count consistently also increases. | |||
Brooke divided men into five height categories (pg 5) and listed their average partner counts (pg 1) | |||
#very short (5'2"–5'4"; 157–164 cm; 1%) avg 9.4 | |||
#short (5'5"–5'7"; 165–171 cm; 9%) avg 11.0 | |||
#average (5'8"–5'10"; 172–178 cm; 33%) avg 11.7 | |||
#tall (5'11"–6'1"; 179–186 cm; 40%) avg 12.0 | |||
#very tall (6'2"–6'4"; 187–194 cm; 15%) avg 12.1 | |||
#extremely tall (6'5"+; greater than 194 cm; 2%) avg 12.3 | |||
Although the pattern is consistent, the difference is underwhelming to those who consider height to have a larger impact. | |||
One interesting thing to notice about the sampling Jenkins did is she highly over-sampled "tall" men (at 40% this is higher than the 33% "average" men) and under-sampled "short" men (only 9%) | |||
Similarly there was a negligible amount of "very short" men, constituting only 1% of the sampling size, as compared to 15% of the sampling being "very tall". | |||
Brooke's bias is also shown in the naming system chosen: there is an "extremely tall" category yet no "extremely short" category for parity. | |||
- - | |||
A reason for this could be that short men tend to resist taking studies like this, because they are ashamed to participate in them and relate their low partner counts. | |||
This creates a selection bias where the minority of short men who DO respond to the study are the outliers who get an unusually higher amount of sex due to other factors in their favor, such as face/wealth/etc. | |||
===Gert Stulp=== | ===Gert Stulp=== | ||