This is interesting, particularly the idea of comparing wage growth against welfare growth predicting success of "free money" welfare. I agree that it seems reasonably unlikely that a welfare system paying more than typical wages, without restrictions conflicting with the "detached from work" principle, would be sustainable, and identifying unsustainable trends in such systems seems like an interesting way to recognise where something is going to have to change, long-term.

I appreciate the clarification; it provides what I was missing in terms of evidence or reasoned probability estimates over narrative/untested model. I'm taking a hint from feedback that I likely still communicated this poorly, and will revise my approach in future.

Back on the topic of taking these ideas as principles, perhaps more practical near-term goals which provide a subset of the guarantee, like detaching availability of resources basic survival from the availability of work, might be more probably achievable. There are a wider range of options available for implementing these ideas, and of incentives/disincentives to avoid long-term use. An example which comes to mind is providing users with credit usable only to order basic supplies and basic food. My rough estimate is that it seems likely that something in this space could be designed to operate sustainably with only the technology we have now.

On the side, relating to generation Facebook, my model of the typical 16-22 year old today would predict that they'd like to be able to buy an iPad, go to movies, afford alcohol, drive a nice car, go on holidays, and eventually get most of the same goals previous generations sought, and that their friends will also want these things. At younger ages, I agree that parental pressure wouldn't be typically classified as "peer pressure", but I still think it likely to provide significant incentive to do school work; the parents can punish them by taking away their toys if they don't, as effectively as for earlier generations. My model is only based on my personal experience, so mostly this is an example of anecdotal data leading to different untested models.