Slightly less likely than cold fusion, it’s The Year Of The Linux Desktop. The video explains a lot, really.
Replaced the Youtube link with Brickmuppet’s Bitchute upload.
It’s a fair cop:

Brickmuppet hand-assembled a list of popular Pixiv pics on both the Male and Female lists. Naturally I scripted it with PixivPy, and included their relative position on the two lists…
The core of the code looks like this (delete “_r18” from both searches to see the clean-ish images); output is suitable for including directly in a Markdown-based blog like mine:
url = 'https://www.pixiv.net/member_illust.php?mode=medium&illust_id='
result = aapi.illust_ranking(mode='day_male_r18')
male={}
mcount=0
for i in result.illusts:
mcount = mcount + 1
male[i.id] = mcount
while result.next_url:
next_qs = aapi.parse_qs(result.next_url)
result = aapi.illust_ranking(**next_qs)
for i in result.illusts:
mcount = mcount + 1
male[i.id] = mcount
result = aapi.illust_ranking(mode='day_female_r18')
fcount=0
for i in result.illusts:
fcount = fcount + 1
if i.id in male:
print '* [F: %d, M: %d](%s%s)' % (fcount, male[i.id], url, i.id)
while result.next_url:
next_qs = aapi.parse_qs(result.next_url)
result = aapi.illust_ranking(**next_qs)
for i in result.illusts:
fcount = fcount + 1
if i.id in male:
print '* [F: %d, M: %d](%s%s)' % (fcount, male[i.id], url, i.id)
Rankings and links after the jump, because about a third of the clean sets of 500 and more than half the R-18 sets of 300 interest multiple genders:
I really like this image from Hebitsukai; sadly, it’s the only one that just feels detailed rather than cluttered.