I'd like to first try to summarize the thesis of your comment so that you can understand my conception of what I’m arguing against and correct me if I misread you.

I think you're saying that since humans have limited capacity for time, attention, and learning, and since there is so much information and claims out there in the world, we all naturally have to rely on what you call trust or credibility heuristics in order to determine what we will accept as truth and what we will reject. They are heuristics in the sense that they are shortcuts that make up for the fact that we cannot go and learn everything there is to know about every subject that crosses our path, and these shortcuts are necessary because we must make decisions every day concerning what we will believe when faced with claims and new information regarding subjects we know precious little about. These shortcuts or heuristics often take the form of placing trust in previously accepted authorities on the subject, the opinions of trusted acquaintances, or one's own senses.

I agree with all of that.

Further, I think you're saying that the credibility heuristics that people use are all the same, and are equally effective in determining truth from fiction, and equally vulnerable to being hijacked by con artists with books and large followings. This therefore must mean that people who accept scientific consensus on topics like evolution do so for the same reasons that people think Joseph Smith talked to angels.

I would dispute that.

This goes back to my previous comment where I said that it is possible to find oneself on more epistemologically solid ground than another on a given topic. This is possible because some credibility heuristics are measurably better than others, and one can improve one's own credibility heuristics with the application of standard critical thinking skills.

So maybe you have an authority you trust on a given topic X. One question to ask yourself is, why do you trust this person on topic X? There are good answers to this question and there are bad answers. A good answer might be because this person has a degree in X and has worked in the X field for several years. A bad answer might be because this person knows a lot about topic Y, or perhaps because this person talks about X a lot and claims to know about X. A well trained set of credibility heuristics seems to avoid potential problems here. One type of heuristic is more likely to be hijacked by bad information than the other.

Perhaps you accept proposition P. You might ask yourself why you accept this proposition. A good reason for accepting proposition P would be that proposition Z is an observable fact, and that Z => P is a result claimed by several diverse trusted sources. A bad reason would be that P => Z is claimed by several diverse trusted sources, and that Z is an observable fact.

A proper set of credibility heuristics would also take into account the weight of the claim, namely a measure of how important and/or extraordinary a claim is. For example, if you were claim in your next comment that you own a cat, I would accept that claim at face value. The reason I would so easily accept this claim is that it is both mundane and unimportant. There is no risk to me for accepting this claim if it happened to be false, and it is an entirely ordinary thing to own a cat.

Now if you were to tell me in your next comment that you were abducted by aliens, then I would dismiss the claim. It is an extraordinary claim which therefore requires extraordinary evidence that cannot be provided in this medium, and accepting such a claim would have a huge effect on my worldview, and therefore incurs considerable risk on my part. Any credibility heuristic that fails to account for this variance is going to be more susceptible to being hijacked.

With basic application of critical thinking, one would understand that a hat-based rabbit replicator is an extraordinary groundbreaking claim requiring extraordinary evidence, including a full explanation of the mechanism, independent verification, and a consensus from a variety of diverse external sources. One would understand that the established truth of such a claim would revolutionize science almost overnight and would have a huge effect on the way we all live. It would be a extremely difficult task to convince a critically thinking person using merely "enough bunnies and interactivity to fool the senses". We understand that the senses can be fooled in various ways. We go to magic shows specifically for this reason. A good credibility heuristic would take this into account.

There are a myriad of critical thinking tools that can be used to improve your credibility heuristics in a way that does not require you to become a subject matter expert in every area that affects you. To the extent that you pursue these techniques and apply them, the less likely you are to fooled by false claims dressed up to look plausible. You can avoid falling for conspiracy theories like the flat-earthers, the moon landing truthers, and Holocaust deniers.

Well tuned credibility heuristics would help you understand that a story appearing to be "coherent" or "reasonably-consistent" does not support the claim of it being a translation of ancient golden plates scried from a magical peepstone. It would also help you avoid falling for the idea that praying about it and having a good feeling afterward is evidence that a ghost is telling you that all of the claims are true, or that a lot of people believing in a set of claims is by itself evidence for the truth of the claims.

Everyone's credibility heuristics could be improved by understanding that Sturgeon's Law still applies to individual scientific papers hyped by the media, and that independent repeated verification is a necessary filter that takes time and patience. A basic understanding of how the scientific method works, why it works, and how it is generally applied in academia and research institutions (warts and all) is an important part of a healthy set of credibility heuristics.

Carl Sagan called these types of well-tuned credibility heuristics a "baloney detection kit". He has a whole book about it, which I highly recommend.