Spoke with my neighbour. A type 2 diabetic on medications and realized even now there is so much ignorance on this subject. I have done extensive research on this subject (was forced 2 after being diagnosed)

Here sharing it with you all. retweet it, it may save someone's life.

My Neighbour said his hba1c is 7. Everything is fine, he just needs to bring it below 6.9 and he would be fine.
That is just baloney! anything more than 5.6 will result in all kind of complications (Kidney failure,retina failure (blindness) amputations& heart attack etc etc
When i told him the benifits of intermittent fasting and fasting, My neighbour Nitin said, I cannot fast as doctor said i need to eat 5 -6 times a day.

FACT: If you are NOT on any insulin enhancing drugs. you can fast as much as you want. (metformin is OK)
to which he said These drugs r permanent & progressive, you can never stop using them.
FACT: if you can change your diet, you can change your sugar and insulin levels and no longer need these drugs. (advise not aplicable to type 1 diabetics, they wud always need insulin injection
Diet, I am on diet precribed by WHO.
FACT: Fuck WHO, and don't eat carbohydrates. infact another name of diabetes is carb intolerance. You can never acheive 5.6 or lower while eating your rice and roti.
I will get weakness if i don't eat carbs.
Fact: Nobody is asking you to go keto (although even that is fine). you can eat your veggies and it has all the carbs you need in a day. Carbs are sugar, its just an addiction. you don't feel complete without it coz u r addicted.
With all that fat from eggs, cream etc my cholestrol will rise & result in heart complications
Fact: I don't know any fat eating person who is fat. Dietary fat has nothing 2 do with cholestrol and trygly. in body
The main culprit is seed oil, make ur food in desi ghee and butter
Disclaimer: i am not a physician, the tweet thread was based on books i have read, unbiased, without incentive research i have done for myself.
https://t.co/Ya5APcjPkE
Books, grocery and equipments to know everything.
https://t.co/X6IwvHaAGJ
Follow @dlifein to get access to Indian recipes (including veg) to maintain your levels.

Also follow this youtube channel.
https://t.co/EyGDtZcArQ

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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
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%)

👇

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