The public's rejection of nuclear power is a 'perfect storm' of psychological biases: the high salience of disasters (availability heuristic), an intuitive fear of 'contamination,' and the desire to eliminate one scary risk rather than reduce overall aggregate danger.
Both the hard left, which sees modern institutions as corrupt, and the traditional right, which laments the decline of past authorities, are ideologically primed to reject data showing societal progress. For both, positive trends can be seen as a form of heresy.
No language is 'perfect' because its evolution is a trade-off. Speakers tend toward efficiency and simplification (slurring), while hearers require clarity and precision. This constant tug-of-war drives linguistic change, explaining why languages are always in flux.
The standard math curriculum is misaligned with real-world needs. Core rationality concepts, like Bayesian reasoning and distinguishing correlation from causation, are far more valuable for everyday decisions and citizenship than more abstract topics like trigonometry.
The idea that language creates thought is backwards. Pre-linguistic infants already have a sophisticated understanding of the world (e.g., cause and effect). They learn language by shrewdly guessing a speaker's intent and mapping the sounds they hear onto thoughts they already possess.
For existential crises like climate change, the typical market model of secretive, competing scientists guarding IP is inefficient. A collaborative 'Manhattan Project' approach that gathers top minds to work collectively is a far better model for solving such large-scale public goods problems.
We operate with two belief modes. For our immediate lives, we demand factual truth. For abstract domains like mythology or ideology, we prioritize morally uplifting or dramatically compelling narratives over facts. The Enlightenment was a push to apply the first mode to everything.
Journalism's inherent bias toward sudden, negative events creates a pessimistic worldview. It overlooks slow, incremental improvements that compound over time, which data analysis reveals. This explains why data-oriented fields like economics are often more optimistic.