Stop for a moment, let’s re-examine an investment logic.

You all know how the giants play venture capital. Tencent, Alibaba’s investment teams do very straightforward things—they invest in hundreds of projects, most of which fail, but as long as they pick a few like Pinduoduo or JD.com, all losses are instantly turned around, and they make huge profits. What is this logic called? Probability theory.

So here’s the question: since this trick works for the giants, why can’t we replicate the same approach in the crypto world?

My approach is actually very crude. Take 10,000 USDT, split it into 100 parts, and invest only 100 dollars in each. Then find projects with a story but that haven’t taken off yet—potential coins, new L2 solutions, or small tokens with actual use cases. What’s the key? You need to find those “yet to be discovered by the masses.”

And then? Mathematics will speak for you.

Suppose out of 100 targets, 80 will eventually go to zero—that’s normal. Your loss is 8,000 dollars. But what about the remaining 20? If 10 of them double, 5 of them tenfold, and even just one of them multiplies a hundred or a thousand times, do the math: turning 10,000 dollars into hundreds of thousands makes sense, right?

This is the practical application of the so-called long-tail effect in the crypto space. It’s not some profound theory; it’s a game of probability and patience. In a market with such high volatility, your task is to survive and then catch that project that will truly explode.

Anyone daring to try this approach?