@9_Invest_obey Bro my 200 strong units of $SITM got stopped out @ $200 when it dipped after the last offering. I’m so fkn salty about that. I got much bigger bag of $ABCL tho so we gucci.
@Yashadityawx@Nature_Life15@HinduHistoria You’re arguing with an inbred nigger from southern Bharat…probably looks like a literal poopjeet himself who thinks Murugan is born in tamil. Fkn low iq cunt 🤢🤮
Ayurveda has always claimed that people are born into 1 of 3 broad constitutional types: Vata, Pitta, Kapha...that shape everything from metabolism to disease vulnerability to how a person responds to a given medicine.
For most of modern medical history, this has been treated as pre-scientific folk classification, roughly on par with astrology, with no expectation that it would map onto anything measurable in the body.
In 2008, a team at India's own CSIR Institute of Genomics and Integrative Biology, led by Bhavana Prasher and Mitali Mukerji, published a study in the Journal of Translational Medicine, a serious government genetics lab, not an Ayurveda advocacy group.
They screened ~850 volunteers down to a much smaller group of healthy individuals who fit cleanly into 1 of the 3 extreme Prakriti types using a validated Ayurvedic classification process, then compared their gene expression patterns (which genes were switched more on / off, not their raw DNA sequence) along with blood chemistry and hematology.
They were not trying to prove Ayurveda right; they were checking whether a genuine biological signal existed underneath an old classification system....
It did: distinct patterns of gene activity, blood chemistry, and a specific oxygen-sensing gene called EGLN1 that behaved differently between Pitta and Kapha individuals.
That gene turned out to be worth chasing.....
In 2010, a follow-up study by an overlapping team, published in the Proceedings of the National Academy of Sciences (PNAS), dug specifically into EGLN1 and found actual genetic variants of the gene that differed in frequency between Pitta and Kapha individuals, variants independently known to be involved in high-altitude adaptation and resistance to high-altitude pulmonary edema.
A gene flagged by nothing more than an ancient constitutional-typing system turned out to sit inside a pathway actively used by human populations adapting to low-oxygen environments.
Then came the harder test.....
In 2015, a larger follow-up study, published in Scientific Reports, a Nature-family journal, involving a wider Indian Ayurgenomics research network went a level deeper and screened the actual DNA rather than gene activity.
They ran a full genome-wide SNP scan (Affymetrix 6.0 chip, roughly a million markers) on 262 healthy men, narrowed down from an initial pool of 3,416 volunteers, all independently classified into extreme Vata /Pitta / Kapha types by both senior Ayurvedic physicians and a separate validated software tool, with only the cases where the 2 methods agreed included in the final analysis.
They found 52 SNPs....
Actual sequence-level genetic markers that reliably distinguished the 3 Prakriti groups from each other, 1 of them near a gene called PGM1, tied to metabolic traits classically associated with Pitta.
The result held up even after being cross-checked against a separate population of 297 people with different ancestries, which should have scrambled any real signal if the categories were meaningless.
Another 2011 study led by Ghodke and colleagues found that genetic variants for the drug-metabolizing gene CYP2C19 were also skewed across Prakriti types, fast-metabolizer variants enriched in Pitta, slow-metabolizer variants enriched in Kapha lining up, unnervingly well, with the classical description of Pitta as quick-burning and Kapha as slow.
What it does show, cautiously and specifically, is that a 3,000 year old system of sorting people into constitutional types built entirely on external observation, with zero access to DNA managed to carve the human population along a line that, when a modern lab went looking with a completely different tool, turned out to correspond to something real in the genome.
That is not nothing. That is a testable hypothesis from antiquity that survived contact with a genome sequencer. 🙏🙏
@ScrooogeUncle You don’t fkn say…I dumped $90k into that trash just below $2 and rode that donkey up to 16 before getting washed out via margin call around $6-7 on its way back down to trash. I told my wife it was going to change our lives…fkng $BNGO shed prob throw up if I remind her 🤣🤣🤣
Are Indians aware of their privilege?
More than four thousand years of continuous literary tradition. Over a dozen distinct libraries. The Vedic corpus, Sutra texts, Abhidharma pitaka, Mahayana corpus, Jain literature, Nalanda corpus, Siddhantas etc. Even reading half of them will give you a distinct and divergent mind.
For most of history, the majority of Indians had no access to these texts. But today we have printing technology and the internet. 'Arrogance' is the only word to describe this generation of Indians who refuse to make use of this magnificent inheritance.
Americans hate H1B Indians as they think they are scammers
TikTok has convinced Americans that every scammer is Indian
The FBI data says that it's wrong
Americans lost $20.9 BILLION to fraud in 2025.
$12.5 BILLION 60% came from scam compounds in Myanmar, Cambodia & Laos run by CHINESE crime syndicates.
The Indian call center category? Under 9%
You’ve been hating the wrong people over the smallest slice of the pie.
Why the stereotype? Simple:
Call centers use VOICES. Voices become viral scam baiting videos.
Pig-butchering compounds steal 8x more through TEXT no accent, no face, no content. So they stay invisible while racking up billions.
The algorithm made the loudest scam the face of ALL scams.
Meanwhile: India’s CBI + FBI = 475+ arrests in 27 joint operations. Operation Chakra just crushed a Noida network.
Name another country doing that.
And Indian Americans? Zero connection to any of it. Hating your neighbor for a criminal 12,000 km away is not good IQ
Stop letting TikTok think for you. The FBI report is free.
Hard to digest at first, but once it lands, Indian classical utterly humbles Vivaldi, and the entire Western canon with him.
<Raag Ahir Bhairav by L.L.Bansuri>
Lol … western classical music is a hack. The scale starts from C instead of A. The notes do re mi are badly mangled first letters of a latin prayer. The octave has no B# E# and music theory can’t explain why.
And most importantly, most people namedrop Mozart but rarely listen to him.
While Indian classical music has a coherent theory, living tradition and people who listen to it every day.
The wall hit by ancient medicine was simple: If a patient cannot speak, how do you diagnose their pain?
For centuries, across ancient Greece, Rome, and Mesopotamia, medicine relied heavily on verbal interrogation. When an infant screamed continuously, physicians often resorted to guesswork.
Then came Viddha Kashyapa and his masterwork, the Kashyapa Samhita.
Kashyapa recognized that while an infant lacks speech, the body possesses an innate, involuntary reflex language. In a dedicated section titled the Vedana Adhyaya (The Chapter on Knowledge of Pain Signs), he systematically mapped non verbal behavioral cues to precise internal organ distress.
Without electronic telemetry / pulse oximeters / behavioral software, Kashyapa documented specific clinical patterns:
- Earache (Karna-Shula): He observed that an infant with middle ear agony does not just cry. The child repeatedly clutches or pulls the ear, shakes its head side to side, and refuses to nurse.
Swallowing forces open the Eustachian tube, creating a sudden, agonizing pressure surge across an inflamed ear drum. The rejection of mother's milk was a mechanical defense mechanism.
- Abdominal Pain (Kukshi-Shula): He recorded infants drawing their knees tight against their chest, displaying abdominal rigidity, and breaking into sudden cold sweats while uttering sharp, high-pitched cries.
Flexing the knees relaxes the rectus abdominis muscles, instantly dropping intra abdominal pressure to relieve visceral muscle spasm.
- Headache (Siroruk): He mapped photophobia and eye-squeezing alongside continuous forehead rubbing, identifying trigeminovascular pain responses 1000s years before modern neurology mapped the cranial nerve pathways.
In modern Neonatal Intensive Care Units (NICUs), nurses use validated observational metrics like the FLACC Scale (Face, Legs, Activity, Cry, Consolability) and the NIPS (Neonatal Infant Pain Scale) to actually decode what Kashyapa did already long back.
What makes Kashyapa's work extraordinary is not just that he noticed these signs, but that he codified them into a differential diagnosis manual. He proved that an infant’s body has an explicit, readable language. By systematically recording how specific internal pathologies map to external motor reflexes, he provided physicians with a tool to treat non-verbal patients rationally rather than speculatively.