Sometimes in an argument, an older opponent might claim that perhaps as I grow older, my opinions will change, or that I'll come around on the topic. Implicit in this claim is the assumption that age or quantity of experience is a proxy for legitimate authority. In and of itself, such "life experience" is necessary for an informed rational worldview, but it is not sufficient.
The claim that more "life experience" will completely reverse an opinion indicates that the person making such a claim believes that opinions from others are based primarily on accumulating anecdotes, perhaps derived from extensive availability bias. It actually is a pretty decent assumption that other people aren't Bayesian, because for the most part, they aren't. Many can confirm this, including Haidt, Kahneman, and Tversky.
When an opponent appeals to more "life experience," it's a last resort, and it's a conversation halter. This tactic is used when an opponent is cornered. The claim is nearly an outright acknowledgment of moving to exit the realm of rational debate. Why stick to rational discourse when you can shift to trading anecdotes? It levels the playing field, because anecdotes, while Bayesian evidence, are easily abused, especially for complex moral, social, and political claims. As rhetoric, this is frustratingly effective, but it's logically rude.
Although it might be rude and rhetorically weak, it would be authoritatively appropriate for a Bayesian to be condescending to a non-Bayesian in an argument. Conversely, it can be downright maddening for a non-Bayesian to be condescending to a Bayesian, because the non-Bayesian lacks the epistemological authority to warrant such condescension. E.T. Jaynes wrote in Probability Theory about the arrogance of the uninformed, "The semiliterate on the next bar stool will tell you with absolute, arrogant assurance just how to solve the world's problems; while the scholar who has spent a lifetime studying their causes is not at all sure how to do this."
Well, turnabout is fair play. I'm not an old fart, but I've been in a position known for pleading inability to convey their knowledge to the unwashed masses until they they get roughly the same experience. Specifically, that of a graduate student (in control systems), working on a problem at the boundary of current knowledge.
I was very interested in learning what it would be like to get to a state where I literally could not explain the problem I'm working on to people far outside my field (though of course that was not why I went to grad school).
And you know what? It never happened. To an intelligent person, I was always capable of bringing them up to speed on the problem I was on and the related mathematical tools and formalisms. It certainly took some time as I had to fill in the gaps in their mathematical background, but absolutely not on the order of years. Maybe an hour or two instead.
I might one day find strong enough evidence to reverse my position, but for now, as best I can tell, the excuse of "you have to gain years of experience to understand my position" has been so overused, that it is extremely weak evidence whenever someone offers such a self-assessment.
I think what's happening is a combination of the "unwilling" and "unable" factors:
Unwilling: You take a deep hit to your status anytime you provide others with enough knowledge to obviate your sage wisdom.
Unable: If you haven't gotten into the programmer's mindset, you're all too quick to assume any problem has to be done manually and can't be converted into steps so simple that a machine could do it. "Nah nah, to play good chess requires special intuition, there's no way you can just break it down into a rulebook."
Many of the types of activities that people claim require years of experience to master and cannot be easily communicated are also the very types of activities that we currently have no good idea how to program a computer to master however.
I'm a little skeptical of appeals to experience but it does appear that there are certain skills that humans can master through practice but that they cannot easily explain in words. Over time computers are chipping away at the boundaries of problems that require special human intuition but there do still appear to be genuine skills that cannot currently be easily taught or expressed in software.