VAERS is for gross data aggregation. But it is the absolute zeroth step in finding a causal link between vaccines and negative effects in the population. It's raw data without scientific controls for confounding factors (or even independent checks against self-reporting error), and misleading to the point of actively harmful without rigorous analysis and (more importantly) follow up study with proper scientific controls.

To give an absolutely terrible, but perhaps useful, analogy... You're an old sea captain on a sailing vessel without modern weather technology. VAERS is the crewman whose knee acts up about half the time before a bad storm. At best, if he tells you his knee's acting funny, you put your weather eye out... You don't turn around and go back to port.

No; the system is working as intended, but you're naming outliers that haven't been replicated or confirmed. It's not "suppression;" it's "This result was weird, and other people aren't seeing it." Which is far more often study error or misinterpretation or confounding factor than an actual issue.

... and that's the problem. The general populace doesn't know how rigorous medical testing works. And when they get their hands on something that sounds serious (but isn't actually at a scale that causation can be confirmed), or someone with an axe to grind decides to push a counter-narrative that doesn't stand up to scrutiny (but who cares whether it does if the general populace doesn't know how "scrutiny" works and is weighing the evidence of the medical community and the CDC vs. one pathologist in Germany as if their words have equal weight), it becomes a general problem for public health.

One that, apparently, Google has decided it doesn't want to be part of.