You can call it a prior (like in Bayesian probability) on the probability of such an announcement being right.
Same, to give an obvious extreme example, as I'd be sceptical about an annoucencement that "We found the perpetual machine, there was a major flaw in thermodynamics laws, here are our numbers and results", even if they're world reknown experts in physics saying it, and I don't have access to their data, or to the machine to try it myself - hell, even if I can't understand their formulas.
One would still have a prior in this case, based on a general understanding of the the world, and the possibility range where this falls.
You might have a more informed prior because you took more concrete information into account than mere experience of other such announcements being repeatedly proven wrong, the probability of RNA being found on a meteor sample, the probability of the team just being lax with their annoucement to get publicity and grants, and so on.
Or, I guess, you think that we should never do that, and we should either do the research ourselves, or wait until someone else does, and at any point, whatever they say as their conclusion, them being experts and having done the work and everything, should be the final word.
Which probably means that as you see it, it makes no sense, to have a belief on anything or its refutation as likely or unlikely, unless one has either replicated the study and checked the conclusions, or found specific actionable faults.