Earlier quoted context omitted.
UX research can act as observations to form an initial hypothesis, while A/B testing can acquire the necessary data to perform experiments in way that assimilates the scientific method. It might be a scale issue for sure, but qualitative data alone is not enough, especially when dealing with user biases and small, non representative populations.
Not enough for what?
To solve a customer pain or problem