While you are correct conceptually, most scientific research using statistics does in fact attempt to provide evidence against no-effect (the null hypothesis).

The p-value of a scientific study is the probability that the given data would have been observed, given that there is no effect. Hence why small p-values can be associated with the success of the alternative hypothesis (i.e. what a scientist actually thinks will happen).