Major premise: the past is the source of more problems than solutions. Otherwise there would be no change.
Minor premise: the past was once the present and future.
Conclusion: we’re always creating more problems than solutions. Deal with it.
Conversation
It’s like generational musical chairs. When the music stops, one generation gets screwed by too many problems and is sacrificed to solve them. Then things restart. Gen Z may be one such sacrificial generation.
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There's a theory of this that jibes very well with your Breaking Smart post about elites, specifically your point that elites start out engaging the environment directly and solving problems, but eventually turn inward until the problems pile up.
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Past data is the fuel for #MachineLearning.
So, are we looking to understand past problems better or are we looking for solutions?
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It would be interesting to see a timeline of major problems popping up for each generation and the degree to which future generations were able to mitigate them. To see which problems are cyclical, which ones are the result of a ‘solution’, and which ones are completely new





