Of course it's evidence of something!
Suppose, as a massive oversimplification, Uber's self-driving cars crash with some constant probability P for every mile driven (i.e. a Bernoulli process).
We now have learned at least one thing with absolute confidence: P > 0.
The first mile driven before the accident, of course, also showed P < 1.
But beyond absolute certainty, we also have a better idea of the actual value of P. (Intuitively, the longer we go without a crash, the lower we suspect P to be, and for every crash, we increase our estimate of P).
If there was only one crash in 3 million miles driven, this is evidence for values of P near 1/(3 million), and evidence against values of P far from it.
Is it strong evidence? Nope! But it's evidence!