The Madness of Crowds - Now Online - Future IQ
Concepts in this episode
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Mob Mentality mental-model
A crowd can become an emergent actor, producing behavior that many—or even all—of its members would not have chosen alone.
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System 1 vs System 2 mental-model
Fast, automatic System 1 often reaches a conclusion before deliberate System 2 arrives; System 2 may then defend that conclusion instead of independently testing it. Better judgment comes from recognizing when intuition contains useful compiled experience and when the problem needs effortful scrutiny.
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Group Contagion mechanism
Behavior spreads through groups in stages: early actors make participation visible, borderline members treat that visibility as permission, and later members join because abstaining now threatens their belonging.
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Group Conformity mental-model
Group conformity begins as a trade between accuracy and belonging, but repeated consensus can make the group’s answer feel more plausible than your own judgment. The crucial question is whether people merely voice agreement or stop experiencing a conflict at all.
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Threshold Model of Collective Behavior mechanism
Collective action is shaped by the distribution of activation thresholds within a group. Enough low-threshold actors can start a cascade by giving progressively more hesitant people the visible participation they need to join.
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Online Disinhibition Effect mechanism
Online interaction lowers social restraint when missing human cues weaken empathy and accountability. Once another person is reduced to a screen object, attacking them becomes psychologically easier.
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Deindividuation mechanism
Absorption into a crowd can weaken personal identity and responsibility. When no individual expects to be singled out, inhibition falls and collectively committed acts can feel individually permissible.
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Wisdom of Crowds mental-model
A crowd can outperform its members when judgments are genuinely independent and errors point in different directions. Diversity improves the average by cancelling mistakes; shared biases make the same averaging process preserve or amplify them.
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