Signal Garden

She/They mirror universe version of some other girl https://signalgarden.net/

[signalwalker]

intro post:

[iphigeniacomplex]

[girl in a low cut top voice] i just dont know what it is but everyone is being sooo nice to me today….[grows grave and guarded] they’re conspiring against my reign and they think me a fool

[pencilcomics]

[recreationaldivorce]

sex testing isn't making people discover that they're intersex, it's making people intersex. if someone's sex characteristics are imperceptibly different to what sex defines they should have, it wouldn't have placed them in a different social category until both the technology and the drive to test were there. ppl just don't really believe that sex categories are also socially constructed and fluid. things like hormone levels naturally wildly range between people before it gets to a point where someone looks noticeably "different" for their sex—a cafab person with testosterone levels deemed high today would not have been intersex 200 years ago unless they displayed noticeably masculinised features, because nobody would have known anyone's testosterone levels and therefore can't use that as a basis for treating someone differently!

[caffeinatedopossum]

(remembers) -1 hp (remembers) -1 hp (remembers) -1 hp (remember-

[txttletale]

imperial core third worldism is so so embarassing. if you live in the periphery believe what you like but if you're physically present in the imperial core i think so little of you if you adopt an ideology that helpfully takes the overwhelming, gargantuan task of organizing the imperial proletariat and honestly confronting the catastrophic failure of socialism here off your shoulders. "treatlerite" this "JDPON" that how do you not get embarassed sitting around waiting for the imperialized peoples of the global south to come and save you !

[mossy-muncher]

I'm not a good person (remembers morality isn't binary and neither am I) I'm barely a person at all (remembers I shouldn't be self negative) but someday I'll be perfect (remembers that I'm human and I make mistakes) and I'll make up for it all

[lifeafterpsychiatry]

"I'm only criticizing the people who are lazy on purpose" is just not the reassurance people think it is when nearly every disabled person has been accused of not really being disabled and just being lazy on purpose

[communistkenobi]

I had a lot of/still have some vestigial arrogance about quantitative methods over qualitative ones, probably in a combination of scientific misogyny + STEMlord superiority. But doing regression analysis and quant-heavy data analysis makes me realise more and more that you can justify basically any claim with numbers, and that you can construct your research in such a way as to output the numbers you want. which does not mean that all data are made up or that quantitative knowledge is all false. I think stories about scientists straight up inventing numbers or fudging experiments on purpose prove that there is a real difference between fraudulent and non-fraudulent research. but those data must always be narrativised & are always already narrativised. The act of presenting numbers itself is doing some of that narration because you’re already arguing that these numbers are worth presenting

[communistkenobi]

People in the notes are rightfully pointing out common issues with data manipulation and pre-loaded conclusions in scientific research (i.e., the academic version of asking "so, how often do you beat your wife?" and so on), but I should have clarified that I'm not really talking about that. I'm talking about completely legitimate, above-board scientific research.

For example, I've had students ask me (in good faith) how it was possible for international medical bodies to report different counts of COVID-19 cases during the early years of the pandemic. And one of the answers is that you need to first define what you mean by a "COVID-19 case." Do you include self-reported incidences? Waste water data? Geo-fenced social media posts about people complaining about their coronavirus symptoms? Federal estimates? Hospital data? How do you compare countries/territories/substate entities with mandatory reporting mechanisms vs countries/territories/substate entities that rely only on voluntary self-reported cases? And what combination of these do you use? How you construct what you mean by "case" is going to impact the outcomes you report. These different counts of COVID-19 cases can all be true simultaneously, not because numbers are made up, but because they all come out of different methodologies that can be equally valid.

And this is true across all science, not just social science. Bill Clinton said it best lol: "it depends on what your definition of the word 'is' is." This feels obvious when you look at scientific research that uses "skull measurements" as their object of analysis - the concept itself is white supremacist, regardless of how "sound" the research is. But even something as apparently self-evident as a COVID-19 case still requires a definition, and how you define your variables is necessarily going to impact how the research goes and what conclusions are drawn.

These definitions are always embedded in political & social assumptions. And again, this does not mean that science is all made up or nonsense or whatever. There is a widespread fetishism of "objective knowledge" that is itself ideological - the idea that knowledge can be divorced from all historical and political contexts, that you can scrub bias from research and simply report the facts. Valuable, well-supported, well-constructed scientific research is always embedded in these contexts. Not just as a result of researcher assumptions, but of the material context it exists in - what research resources are available, how & what research gets funded, the academy's relationship to the state & non-government bodies that both provide data and use that research to inform policy, the historical relationships universities often have with settler-colonialism and imperialism that give them access to "foreign" research subjects, etc etc etc.

So my overall point (which I didn't communicate well) is that data can always say what you want to some extent, for good and for ill. And research results (at least in my experience) tend to surprise you in ways that require explanations, which themselves can be fully justified, but again, exist within many different contexts that influence how you interpret them - and not just the results themselves, but your own surprise at your results

[bungleart]

[queer-as-city-folk]

Even in a post-capitalist, post-consumerist world, you still need to produce goods, as a result of this, you need factories because it is more effective to have a few people making a lot of clothes in a factory than every woman being forced to sit down and spin wool all day.

[queer-as-city-folk]

The issue with factories is poor wages, unsafe working conditions and environmental impact, all of which can be fixed through things like regulatory bodies and unions, the issue is not the fact that goods are no longer all made at home

[astra-the-dragon]

you can have a guild-owned, guild-run, sustainable and ethical small- to mid-size clothing factory. or laundromat. or kitchen. all of these once-domestic tasks can become industrialized without the capitalism and greed.

the factory isn't evil. it's a building full of machines and materials.

[txttletale]

efforts towards a "positive vision of masculinity" or whatever are so funny because what these guys are trying to figure out is literally "what's a way of being a good person that's Not For Girls™"

[fipindustries]

[brilliantlgbtmanga-deactivated2]

[danceundersparklinglights]

i’m going to be really honest with you guys i think the tendency to read the absolute worst possible intentions into every action you don’t agree with is getting too automatic and it’s eating you from the inside out

[himynameisemail]

[faceless-fuck]

[termagax]

"you only like her because shes a woman" yup "you let female characters get away with too much" yes "if a man did this you would hate him for it" indeed

[architectureofdoom]

Miwa dam, Nagano Prefecture, Japan