alastor x ego death @deerman-limerence - Tumblr Blog

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self-care

#alastor #valintino #hazbin hotel

theitalianmafia

I made a video essay. I uhhhh had too many words on this topic.

houndmother

many of you just. genuinely don’t believe that people can grow and change.

houndmother

this is about the death penalty and its also about call out posts about people who have already apologized for things they did a long time ago and it’s also about using ‘toxic’ or ‘abuser’ as if its an immutable class of person, and its also about any other circumstance with permanent consequences or wherein you assume someone is still the same person they were.

how the turn tables

#this is my favorite frame in the series #alastor #vox #hazbin hotel #dailyalastor

cash4bees

I think the reason I still enjoy tumblr is that even though this all still pisses me off, I know that anything that makes me mad on here is 100% earnest. It's not ragebait or engagement farming, y'all are actually just that stupid sometimes

#shout out to the stupid and the silly my beloved-s

kiwinatorwaffles

listen. if your mutual suddenly starts referring to The Character with different pronouns, you must go along with it. that character is trans now. they’re right.

laisiedae

"Why is he crying"

fandaniel

having a multi year long character obsession becomes like a abstract thought experiment at some point

rat-rambles

I just realized. He's a deer in headlights.

He litterly just freezes instead of running which would have protected him.

Also this smeer frame.

#👁️👄👁️#alastor #hazbin hotel

weirdgirl247

every year small towns and indigenous communities across canada are burnt to nothing by horrific wildfires and americans go on the internet to complain about it and blame us bc the smoke has spread to their state. i’m so tired.

go yell at mark carney or your own local politicians about climate change and urge them to do more to stop it. the namaygoosisagagun first nation had their community destroyed today. you can find a link to donate to them here. donate to your local food bank. go to the beach next week when the smoke clears and you don’t have to think about it anymore while the people who’s lives have been destroyed will have to pick up the pieces and try to move forward when we are already in a huge cost of living crisis across the country.

weirdgirl247

rbing with other places you can donate to to support those impacted by the fires!

true north aid (an organization aimed at providing support to remote/northern indigenous people in canada)

canadian red cross wildfire fund

ontario spca and humane society (links to their donate page specifically aimed at supporting pets and animals in areas impacted by the fires)

and the anishinabek nation’s page where you can donate to support the namaygoosisagagun nation who had their land destroyed by the fires is still accepting donations

#not hazbin

finally starting to look my age and all I had to do was be dehydrated for a year

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

#not hazbin #psychology