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The unsettling bit is we’re training ourselves to ask “who posted this?” instead of “what can be verified?” That tradeoff might bite hardest during real crises.
Trump’s shift is what bothers a lot of folks he built support by calling out endless wars, so any move that looks like nation building feels like a betrayal even if the reality is more complicated.
Everything just happened so fast the minute I heard of it was the minute it ended thanks to stacker news keeping me up to date with everything.
Wages and pensions only work if there’s enough productivity and workers paying in. When the population shrinks, everything gets tighter.
That’s a great lineup hard to argue with those picks, Sales always turn a small backlog into a serious commitment.
Whether or not the numbers hold up it’s a reminder that crypto doesn’t eliminate trust problems, it often just concentrates them in new ways.
If true, this would be a huge escalation with massive regional and global implications. Definitely something to watch closely as details emerge.
Really strong set of posts if I had to choose one, Q3 (Pleb Economist #8) stands out for clearly explaining why self custody matters at a system level that said, Den’s Q4 piece does important work correcting common money misconceptions. Hard to go wrong here great signal all year.
Even if parts change later, early signals like this shape how people understand risk and next moves.
This feels less like a clean transition and more like a dangerous power vacuum, with ordinary people bearing the risk while the real power structures remain in place.
True but that actually strengthens the argument for being more selective about location not more relaxed about risk.
Hospitals, schools, power substations, and water plants should be the last things placed in uncertain or poorly mapped flood zones. When data is weak permanence raises the cost of being wrong.
sometimes not even consistent rainfall records that makes precise return period labels like “500 year floodplain” more uncertain. But uncertainty should argue for more caution, not less. When data is thin, the safest assumption is wider buffers preserved floodways, and flexible land use not permanent structures.
Good question In this case the answer is to look for real world follow through, not just the image or the source If something that big were true, you’d see independent confirmations and second order effects pretty fast when the world doesn’t move that’s usually the strongest signal.