HN often aligns with more Libertarian ideologies https://news.ycombinator.com/item?id=21316611
There is a definite right-libertarian bias on HN, whether you want to acknowledge that or not. Everything not toeing that line is attacked and downvoted https://news.ycombinator.com/item?id=21432833
Hacker News has become a forum for uber nationalistic right-winged libertarians https://news.ycombinator.com/item?id=21231654
There's a lot of very neoliberal or libertarian politics going on in the comments round here https://news.ycombinator.com/item?id=21186128
hacker news is a bubble of mostly middle class white male libertarians https://news.ycombinator.com/item?id=20637454
If you go against any kind of socially conservative or libertarian perspective it will get down voted and very likely flagged. It's always been this way. https://news.ycombinator.com/item?id=20643695
It's totally expected. This is a heavy technolibertarian site https://news.ycombinator.com/item?id=19230037
the techno-libertarian norm around here https://news.ycombinator.com/item?id=18671955
Hacker News has a libertarian leaning ideology among both its community and site-runners https://news.ycombinator.com/item?id=16019694
Because it's HN, where opinions other than "hooray libertarian technocracy" are frowned upon https://news.ycombinator.com/item?id=15307091
this site is a haven for alt-right and libertarian people who believe this stuff https://news.ycombinator.com/item?id=14205262
There are just as many claims of the opposite; see https://news.ycombinator.com/item?id=21449589 and https://news.ycombinator.com/item?id=21245485. In reality, HN is a large pluralistic community, with more than enough material to support any impression of bias that you're primed for. The comments you notice and dislike make a stronger impression than the comments you agree with, building up a feeling that the community is against you. This can't be a function of HN, because HN is the same for everybody. Rather, it's in the eye of the beholder: an afterimage of the things they ran into and disliked here. The phenomenon is so consistent that you can not only predict what someone's opinions are, but also how intensely they hold them, from their image of the community's bias.