Ok so lets talk blood. Obviously this is an important step forward, however the decisions and recommendations are still seeped in deep institutional homophobia.

A

Context: The ban on gay men giving blood was brought in in 1980 in the face of the AIDS epidemic, where little was known about HIV and testing was patchy at best. This is understandable- however what should have been a temporary measure has remained in status quo for 4 decades 2/
The 'deferral period' of 3 months, brought in in 2011, allowed a straight woman to have unprotected sex with an HIV positive man and give blood the next day while gay men had to remain abstinent for 3 months regardless of the riskiness of their sex. 3/
The obvious problem was that assumptions were being made about the risk of gay men giving blood that showed an ignorance and lack of understanding on the part of policymakers which was rightly criticised and lobbied against 4/
Over the years, LGBT+ lobbying has largely used the image of beautiful white middle class gay men in a long term committed relationship to sell the idea of equality to conservative Britain - 'We're just like you!' we shout as we show people our fascia of respectability. 5/
The problem here is: we're not just like them. Our lobbyists are like them. Our community is driven by white middle class men. Obviously notable exceptions get raised (the indominable Baroness @ruth_hunt stands out) but largely we present as male and pale AND WE'RE NOT 6/
Our community is a vibrant, multicultural, richly identifying place for people of all sexual identities: queer, polyamoury, BDSM, open relationships, monogamy - a place of sexual liberation made even more so by the introduction of PrEP (thank @Greg0wen for that!). 7/
Our community also has a dark undercurrent where issues of societal rejection, familial dispute, the status quo of 'emigrating' to big cities, shame, loneliness, chemsex and addiction all mix as people try to live as themselves as authentically as they can 8/
And here we have the meat of the issue. Once again, decision making is made with married, monogamous relationships in mind. I'm in a long term relationship. And a long term BDSM D/s situation. And I play around, as do my partner and my sub. Where do we fit? 9/
Poly people who are in multiple stable and committed relationships - where do they fit? And what about bisexual people who are in stable same sex relationships who may also play casually (or less casually) with opposite sex partners? 10/
Looks like the thread has been broken by removing 1 point. Link to point 12: https://t.co/zcQPAjADHj

More from Health

You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇
1/
Remember woman who tuk multiple @SriSriTattva products 4 range of problems frm diabetes 2 gas 2 liver disease & developed liver failure, listed for liver transplant?
Here is original thread:
https://t.co/PXxI1Slyv2
23 samples, Analysis results
#MedTwitter #livertwitter


2/
Before I go into results, I must say this was overwhelming. There was SO MUCH the lab identified, impossible to put everything here. So I made a summary. At the end of this thread, I have linked a full analysis described in Excel format. Some results were VERY concerning

3/
How did we analyse?
Here R links 2 methods
They R high end, done under strict protocols
Frm Ministry of Forest, Environment, Climate / NABL approvd Lab
ICP-OES https://t.co/O1CLhqVQAu
GC MSMS https://t.co/zRJoXyWQIr
FTIR https://t.co/goAembQ08p
Here is list V analysed 👇


4/
Sample names written on top (each column).
First 5 samples: C what we identified in #Ayurveda #medicines
Antibiotics
Steroids (anabolic/synthetic)
#NARCOTICS - LSD, Morphine
Blood thinners (possible reason Y bleeding tests were off the roof in the patient)
Heavy metals!


5/
Next 5 samples (total 10 now)
Mercury is clear winner. Almost all samples
See controlled substances - Butyrolactones https://t.co/CPz0FwPEOm, methylamine https://t.co/OZnXY7U9UQ
Alcohols, industrial solvents
Rare metals - cobalt, lithium
Again lots of blood thinners
#Ayush

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