This article attacks a straw man. Being falsifiable is necessary but it is not sufficient to be considered a scientific hypothesis. Such a hypothesis also, and more importantly, has to provide a better explanation of some phenomenon than the current best theory. Experimental evidence is only brought to bear to decide among plausible alternative theories after the vast majority of candidate theories have been eliminated for not providing good explanations.
It's easy to see that this must be true because we can only ever have a finite amount of data, and that will always be consistent with an infinite number of falsifiable theories (c.f. Russell's teapot). So data cannot possibly help us choose from among those.
It's easy to see that this must be true because we can only ever have a finite amount of data, and that will always be consistent with an infinite number of falsifiable theories (c.f. Russell's teapot). So data cannot possibly help us choose from among those.