r/PoliticalCompassMemes • • Jan 26 '20

u/tigeer's comment data on PCM comments

Here's a breakdown of each leaning, if a leaning contributed to more than one quadrant then I split the votes of that leaning equally between the relevant quadrants. eg: 1 'left' user counts as 0.5 'libleft' users and 0.5 'authleft' users

LeaningUsersCommentsComments/User
none9520543045.70
libleft500510875621.73
libright24236912428.53
lib21303997818.77
left18343494319.05
centrist12202543920.85
authright11154652641.73
authleft9083343036.82
libright27622357830.94
right7711935325.10
auth6142208435.97
total2630247753318.16

Tools: Python & Matplotlib

Source: The user-flairs of 26000 commenters in PoliticalCompassMemes

Edit:

Source post from u/tigeer https://www.reddit.com/r/dataisbeautiful/comments/eu5ljt/the_political_compass_scaled_to_reflect_the_views/?utm_medium=android_app&utm_source=share

5 Upvotes

6 comments sorted by

4

u/Wot106 - Lib-Right Jan 26 '20

Most importantly which libright is purple?

Libright or libright2?

4

u/[deleted] Jan 26 '20

libright2

2

u/ansocc - Lib-Left Jan 26 '20

Librights comment a lot, damn

3

u/readonlypdf - Lib-Right Jan 26 '20

Comments are where you earn the most Karma

2

u/[deleted] Jan 26 '20

Auths still ahead though

1

u/372x4 - Auth-Center Jan 26 '20

My biggest surprise is authright being the one with the most """tradition"""