Saw this paper on floating on the TL and decided to take a break from death by R™️

A lot to unpack...but we’re in the middle of a pancetta so I’m gonna leave most of it in the bag 🧵

https://t.co/XrV77u6rUp

I almost quit after the section on “Racial Categorizations in the United States” b/c it oversimplifies & inaccurately recounts the history of census racial designations.

(No “Black” or “Native” in the 8/2/1790 census, btw. Indigenous ppl were first counted in the 1860 census) https://t.co/1zCHamdlNk
Many weren’t “white” until coming to the US & many immigrated to access “whiteness”

The US census can’t be used to demonstrate the merits of race as a proxy for biology or ancestry - white is a group for the non-Black/non-othered & includes Northern European & North African folx
The authors then refer to ethnicity as a way to capture “common values, cultural norms”

The oversimplification is offensive. Hispanic/Latino is not a monolithic grouping of people. The authors even show in (figure 1) how different ancestry can be *within* this ethnic group.
That difference in ancestry translates to VERY different cultures in terms of food, customs, & even language. Sociopolitical relations also translate to different ways that people are treated based on the precise origins of their Hispanic identity.
Anyway-not going to pick the whole thing apart- the authors are basically like: race/ethnicity is an epidemiologically important variable and we shouldn’t toss it.

But no one has actually argued that people should stop studying racial differences and inequities
We’ve argued that we should study race w/ the same scientific rigor & scrutiny as other variables-that we should explicitly define race like we do other exposures & avoid overstating what data show about a cohort chopped up into Black/White/Other using poorly defined criteria
We’ve argued against using race as a proxy for a stereotyped composite of socioeconomic exposures. Want to studying how housing, or personal experience of racism or income or zip code impacts health? Then, Beloved, THOSE are your exposure variables, not race.
We’ve argued that when designing studies or framing discussion of data, researchers shouldn’t selectively ignore prior research/writing from @DorothyERoberts and others that debunks race biology & demonstrates genetic variation within racial/ethnic groups
We’ve argued for research that addresses (not just describes) health disparities

Maybe we could also abolish the convention of reporting racial inequities as a deficit in the historically “othered” populations?
Centering whiteness as the “normal” against which all else is compared reinforces the falsehood of the supremacy of whiteness.

It warps perspective & leads to blaming the culture & genes of minoritized people for illness. Problematic if the goal is equity & anti-racism, no?
Where we currently report “Black people have less survival compared to white people for X disease” what if we discussed the pathology that influences *excess survival* - hoarding of privilege, power, access, & resources?
Would we-by using traditionally excluded/othered populations as the reference -be less inclined to search for polymorphismes of uncertain significance to explain major racial inequities?

Would we be better positioned to avoid research w/ intrinsically racist hypotheses?
So the “reckoning” : are y’all really trying to be anti-racist or are y’all just playing?

Cuz if you’re really trying to be anti-racist & dismantle structural racism & all the things that are oft said these days, it’s kind of an all or nothing thing.
No sprinkle of racism is acceptable-it’s all bad. It’s all got to go-not slowly, but expeditiously.

Nah fam, we’re not keeping racist hypotheses b/c the outcome might be net good for some.

Why?
B/c racism always deprives.
Always excludes.
Always harms.

More from Society

global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures

these have been sold as a way to stop infection as though this were science.

this was never true and that fact was known and knowable.

let's look.


above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.

we can see this same relationship between NPI and all cause deaths.

this is devastating to the case for NPI.


clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.

barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.

this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.

there is no science here nor any data. this is the febrile imaginings of discredited modelers.

this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.

everyone got the same R
I’ll address every nonsense argument and lie used to defend the suicidal gender ideology Thats in vogue today:

3:45 - “So what if you don’t have gametes?”

It’s called a birth defect. You’re still male or female.


~5:00 *nonsense trying to say the sexes of seahorses could be swapped coz male carry the eggs*

male doesn’t produce eggs, he produces the sperm. He’s still the male. If I impregnated a chick then carried the amniotic sac in a backpack ‘til the baby was done I’ll still be male🤦‍♂️

5:10 - we could say there’s 4 sexes of fruit fly cause there’s 3 producers of different sized sperm

No. They’re still producing sperm. They’re males. This is idiotic. Is this whole video like this? (Probably. 99% likely. Abandon hope.)

~6:10 - hermaphroditism and sequential hermaphroditism exists therefore....

No. Some animals being hermaphrodites, which is meaningless w/o the existence of binary sex to contrast it to, still doesn’t make gender ideology or transgenderism valid.

Intersex ≠ transgenderism 🙄

6:20 - bilateral gynandromorphism is a disorder in some species (not in humans). Has nothing to do w/ “gender” or transgenderism.

Ova-testes in humans are also a disorder, usually found in those w/ the karyotype disorders that you ppl also try to appropriate (extra X’s/Y’s).

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