Earlier quoted context omitted.
In hard science, the null hypothesis is often 'straw-man-like', and that's usually just fine. Because, oftentimes the straw-man haunts by being kind of true, sometimes. Reality is so strange that doing en experiment that controls well enough to (near-) conclusively exclude even a trivial hypothesis is a good experiment. Not the best experiment, but a good experiment.
You don't need a null hypothesis to do science. If you want to measure the strength of the Moon's gravitational pull, no-one's going to complain that you haven't outlined a null hypothesis. There's all kinds of good science done that doesn't use the null hypothesis - it's a myth that if one isn't presented, then it's "not science".
They are saying that in hard science it is often useful to start with a null hypothesis, and report anything that diverges from that as potentially significant (assuming statistical significance of the divergence).