Think of it like taking series of blurry photos of an unknown object. A single photo just looks like a blob, but accumulate enough of them and apply some algorithmic magic and eventually the picture sharpens.
When particles are collided and the result measured, there's probably lots of noise in the data. In a single picture, a single pixel (datapoint) tells you nothing. But capture enough results, and you can begin to filter the noise out, revealing patterns underneath.
When particles are collided and the result measured, there's probably lots of noise in the data. In a single picture, a single pixel (datapoint) tells you nothing. But capture enough results, and you can begin to filter the noise out, revealing patterns underneath.