On the 30% discard rate
The hard part isn't killing bad ideas. It's killing ideas you still like.
A discard rate is not a failure rate. That’s the first thing worth saying.
A failure rate measures how often the market tells you no. A discard rate measures how often you listen. They sound similar. They are extremely different.
I discard about thirty percent of what I test. Some of those discards were genuinely bad ideas — poorly scoped, thinly reasoned, a pitch I’d already half-abandoned before the test ran. Those are easy. You run the numbers, the numbers are flat, you shrug and move on.
The hard ones are the ideas I still liked after the data came in.
The seduction of almost-working §
There is a particular failure mode where an idea gets a little bit of traction and you decide to keep going. Not because the traction was decisive — it wasn’t — but because you’d rather do something than admit the test didn’t land.
I’ve done this. Everyone I know has done this. The pattern is easy to spot from the outside and nearly invisible from the inside.
The test isn’t “did anyone want this?” The test is “did enough people want this, through enough angles, that the market was choosing it instead of tolerating it?”
Most almost-working ideas are being tolerated. That’s not a product. That’s a courtesy.
Why the number stays around thirty percent §
I’ve tried to drive the rate down. It doesn’t work. The more patient you are upstream — the more ruthless your pre-filter — the less information you get from the test itself. You start believing you already know the answer before the data arrives, which is exactly when you stop being calibrated.
Thirty percent is the tax I pay for keeping my filter honest. If I lowered it to ten, I’d be congratulating myself on good judgment while quietly filtering out the data that would have updated me. I’d rather waste a few hundred dollars a year learning things I didn’t expect.
The thing that actually makes this work §
You need somewhere for the discarded ideas to go. Not a graveyard — a vault. The idea doesn’t get deleted, it gets archived with its reasoning: what I tested, what I learned, what would have to change for me to pick it up again.
Most of those never come back. A few do, once the surrounding context has moved — a technology matures, a market opens, a partner appears. When that happens I don’t start over. I pull the file.
The discard rate is not the end of those ideas. It’s the beginning of their patience.