As an example of such complications: In the unblinded Daratumumab study positive effects (which we don't even know to be drug response) were possibly only seen in a subpopulation with certain NK-cells (which we have no idea about whether it was even a genuine effect and it wouldn't pass and it wouldn't pass a correction for multiple comparisons) and perhaps more importantly responses were only seen after several weeks after the drug was administered according to a certain dosis and in patients who had received a diagnosis and had been sick for at least 2 years.
The observations from the unblinded trial are very limited but I think we can be somewhat certain that if you'd apply the big data Twitter approach to Daratumumab you'd get no useful observations whatsoever. Similarly you could take conditions with known effective treatments and get no effects with this big data Twitter approach because your population wasn't diagnosed accurately, the treatment wasn't adhered to long enough or given at the right dosage etc. Treatments can be discovered purely by luck and possibly that'll also be the case in ME/CFS but that doesn't mean that the above approach is helpful in doing so.