rhynlee

Seconding the Gary Stevenson rec, he frames in a very digestible way the flow of income from people working day to day being spent on modern day lifestyle (and necessities) to the people who own the assets modern lifestyles are dependent on and how this formulation of an economy may end up becoming increasingly unsustainable.

Interesting mental model you made here, I like it! Stuff like this definitely helps get people into system 2 thinking instead of going with intuition and in this case that's probably a good thing.

I thought seeing charts of how the answer would change along with each slider value for a given value range might help as others have mentioned it's not too easy to answer the questions accurately. Could help handle uncertainty since people would then be able to understand the range of answers in between their "best case" and "worst case"

So the answer I have isn't exactly what you're looking for, which I think is an algorithmic/machine learning architecture that can transfer concepts found in problems.

Just wanted to share for anyone interested that there is in depth research and theory developed in cognitive science concerning the way people use what the field calls conceptual blending to make sense of unfamiliar subjects with familiar concepts. Maybe it's worth taking inspiration from!

Research study observing the effectiveness of this ability in humans (pdf):

https://deepblue.lib.umich.edu/bitstream/handle/2027.42/2533...

Book on the wider subject:

https://www.amazon.com/Way-We-Think-Conceptual-Complexities/...

I just wanted to say that I really enjoyed reading this since I read the post that it's responding to earlier this week. Found it really refreshing to see this discussion develop that way, and in plain english. I was indeed left wondering if there was a solution to the lazy user aspect for widespread adoption of crypto/web3, since it did seem to be a complete blocker for widespread practical adoption. Neat to learn about light clients and zk-SNARKs!