Not really.

If you toss 100,000,000 == 2 ^ 27, you should only expect around 30 in a row. To have a good chance of getting 100 in a row, you need about a billion squared times more.

And the problem is MUCH worse than described above: Let's say you test 1000 wrong hypothesises with p=0.05; 50 of those will be accepted as true, even though all are wrong. If you test 980 wrong hypothesises and 20 right ones, more than half of those that pass the p=0.05 "golden" significance test will in fact be wrong.

Now, when you see a medical journal with 20 articles using p=0.05, which do you think is more probable - that 19 are right and one is wrong, or 19 are wrong and one is right? The latter has a much higher likelihood.