Dakshana Foundation
Mohnish Pabrai thinks of his philanthropy the same way he thinks about value investing: find situations where a small input creates an enormous output, and bet heavily.
What Dakshana Is
Dakshana is a foundation started by mohnish-pabrai (Mohnish Pabrai on MFM) that prepares extraordinarily poor but academically gifted students in India to pass the entrance exam for the Indian Institutes of Technology. The IITs are among the most selective universities in the world — about 1.3 million students apply annually for 16,000 spots, a 1.3% acceptance rate. By comparison, Princeton and Harvard accept around 5%.
Dakshana spends roughly $3-4 million per year. It has been running for 17 years.
The Investment Thesis
Mohnish is explicit that he approaches philanthropy as a math game, not a moral exercise:
“People think I’m doing all this good in the world with Dakshina. What they don’t understand is I’m a game player. What I’m trying to do with Dakshina is: how much money is going in, and what’s coming out? That’s the only thing I’m focused on.”
He discovered the model in 2006. A teacher in Bihar — one of India’s poorest states — was spending $800 per student to prepare 30 extremely poor children with high IQs for the IIT entrance exam. The economics were staggering: a family earning $60 a month could see their child hired by Google or Microsoft at $120,000 a year upon graduating IIT, with earnings reaching $300,000 within five years.
Mohnish asked to fund the program. The teacher declined — “I don’t want to scale. I do 30 kids. I don’t want even 31.” Mohnish’s response: “Do you mind if I clone your model?” The teacher agreed. That clone became Dakshana.
The ROI Calculation
The numbers are extraordinary by any measure. At $800 per student in coaching costs, the foundation converts a family from $60/month to a trajectory toward $10,000/month within a few years. The return on social investment isn’t measurable by normal nonprofit standards.
Mohnish’s summary: “The IITs accept 1.3% of the kids who apply. They accept 70% of our kids.”
Spending $3-4 million per year to achieve a 70% IIT acceptance rate — versus the national average of 1.3% — represents a roughly 54x outperformance. Most nonprofits, as Mohnish notes, never think this way: “They see a homeless person and want to help — they don’t analyze what’s going in and what’s coming out.”
The Compounding Logic
shaan-puri pushed Mohnish to explain the mechanics further, and Mohnish articulated the longer arc:
“I’m investing for a living, compounding is going, and I’m going to end up with more than I need. I could not increase happiness by spending more. So everything else needs to get recycled at high returns.”
He has set a target: die on June 10, 2054 (one day before his birthday, based on actuarial tables) with $10,000 left. Everything accumulated beyond his personal needs runs through Dakshana. The giving curve needs to eventually grow from $3 million to $5, $10, $15 million per year as assets compound.
His framing: “One game is giving it away. The other game is making it. The giving-away curve needs to become dominant in the next few years.”
Why Blackjack, Bridge, and Dakshana Are the Same Game
Mohnish categorizes his activities by whether they reward rigorous analysis and give him a genuine edge. His list: blackjack (until he was banned from Vegas casinos for counting cards), bridge, investing, and Dakshana. All are “mathematical games” where a prepared mind can outperform.
Most philanthropists optimize for feel-good signals — they give to things that are visible and emotionally resonant. Mohnish optimized for leverage. The question he asks of every philanthropic dollar is the same he asks of every investment dollar: what is the expected return, and is this the best use of capital at this moment?
Warren Buffett’s guiding principle for Mohnish’s personal wealth transfers to his children: “I want to give my kids enough money for them to do anything they want, but not enough to do nothing.” Dakshana is the application of that logic at a societal scale — giving India’s poorest families enough for their children to access everything, rather than subsidizing dependency.
See also: mohnish-pabrai, warren-buffett, charlie-munger, berkshire-hathaway