Quite the contrary, at least in computer science. Tons of good problems, actually developing a solution (and the theory and experiments to back it) is usually orders of magnitute more difficult.
Another point is that to get to this volume the "researcher" probably have many papers that he/she had no part in. Not even formulating the problem. In the case of physicians I encountered senior doctors who just conditioned using the department's medical statistics on adding him/her as author. That is, every paper that uses this specific public medical data adss this author regardless of their contribution... (To be clear they not even necessarily have anything to do with the data collection beyond what they already are obligated to do at the hospit, just happen to be responsible on managing access it)
Good problem also means it fits the reachable skill level of the person doing the work. Do we agree on that stuff like P=NP for example is not a good problem?
Another point is that to get to this volume the "researcher" probably have many papers that he/she had no part in. Not even formulating the problem. In the case of physicians I encountered senior doctors who just conditioned using the department's medical statistics on adding him/her as author. That is, every paper that uses this specific public medical data adss this author regardless of their contribution... (To be clear they not even necessarily have anything to do with the data collection beyond what they already are obligated to do at the hospit, just happen to be responsible on managing access it)