Don't fund winners.
Two women apply to the same small fund on the same day. Both want ₹40,000 for a tailoring shop. One of them has some savings and a cousin who works at a bank. The other has nowhere else to go.
Most funds pick the first woman. She is the safe choice. She is also the one who would have been fine without the loan.
The applicant most likely to succeed is usually the one who needs you least.
A working paper and an open source engine. Free, non-commercial.
The one it changes
For the woman with nowhere else to go, the loan is the whole difference. Her shop grows or it does not, and that comes down to you. For the safe applicant, the loan mostly speeds things up. She was getting there anyway.
So sort people by that. How much does the money actually change what happens? The paper calls it additionality.
Nobody can rig it
The rule is written down and made public before applications open. A computer applies it. There is no meeting where someone quietly moves a friend up the list.
Every decision goes on the record afterward, with the reason each person got a no.
Round 8 · published
Every other applicant gets the same. Anyone can check the maths.
What exists
- A paper, Don't Fund Winners, on SSRN. It also re-analyses a real randomized microcredit trial.
- An engine, open source and written in Python. It runs a full revolving fund and publishes each round.
- It is still early. So far everything runs on test data, and it gets real the first time an actual lending circle runs a round through it.
For a fund
You supply the money and the applicants. The engine makes the call and keeps the record. It does not move money or contact anyone; that part stays with you. The loans carry no interest.
Maaz Ahmad, Zachary Adam, and Manuel Gonzalez.