How The Human Brain Is Getting Dumber Online | Future IQ
Concepts in this episode
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Learning by Osmosis mechanism
Repeated exposure quietly trains attention, taste, behavior, and tacit judgment before you can explain what you have learned. This works especially well for social, creative, cultural, and intuitive skills, but cannot replace explicit practice in symbol-heavy domains.
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Algorithmic Incentive Misalignment mechanism
On a free, ad-funded platform, the algorithm’s working objective is not your flourishing but your continued attention: more time creates more opportunities to show you ads.
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Filter Bubble mental-model
A filter bubble turns personalization into a feedback loop: your existing preferences shape what you see, and what you see then makes those preferences feel like reality.
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Confirmation Bias mechanism
Confirmation bias lets prior belief judge the evidence meant to test it: attention preserves supporting hits, interpretation excuses conflicting misses, and memory turns the resulting imbalance into apparent proof.
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Trapped Prior mechanism
A trapped prior is a belief that has become resistant to correction: it filters, dismisses, or reinterprets incoming evidence so that the belief itself never has to change.
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Filter Intelligence mental-model
Filter intelligence is the ability to choose which sources deserve access to your attention. When information is abundant, improving the inputs to your thinking may matter more than processing more of them.
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Boundary Intelligence mental-model
Performance depends on two distinct judgments: how well you play and whether you chose the right arena. When environments differ sharply, selecting the table can matter more than improving your play at the wrong one.
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OODA Loop mental-model
The OODA Loop turns action into learning: observe reality, orient around what matters, decide, act, and feed the result into the next cycle. In changing conditions, advantage belongs less to the perfect planner than to the person who updates faster.
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