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Copycats and Contrarians

Page 33

by Michelle Baddeley


  fashion influencers (i)

  political tribalism (i), (ii), (iii)

  and politics (i), (ii)

  System 1 versus System 2 thinking (i)

  social mood (i)

  social networks (i), (ii)

  social norms (i), (ii)

  and self-interested herding (i)

  social nudges (i), (ii), (iii), (iv)

  social pressure

  on experts (i), (ii)

  institutional investment (i)

  leader–follower relationships (i)

  see also peer pressure

  social psychology (i)

  social reference points (i), (ii), (iii)

  social signals, and corporate policy (i)

  sociality (i)

  sociology (i)

  socionomics (i)

  Socrates (i), (ii)

  Sokal hoax (i)

  Soros, George (i)

  South Sea Bubble (i)

  speculation (i), (ii)

  and beauty contests (i)

  and emotions (i)

  Minsky’s analysis (i)

  and mood (i)

  and reputation (i)

  versus enterprise (i)

  weather influences (i)

  speculative bubbles (i)

  speculators, and entrepreneurs (i), (ii)

  spindle neurons see von Economo neurons

  spoof-trading (i)

  Squier, Dr Waney, and shaken baby syndrome trials (i)

  Stackelberg model, industry leadership (i)

  stag hunt game (i), (ii)

  stampedes (i)

  Stanford Prison experiment (i)

  Stapel, Diederik, and data fabrication scandal (i)

  status quo, maverick responses to (i)

  status quo bias see reference points

  Stendhal syndrome (i)

  stomach ulcers, expert opinions on (i)

  storytelling, and financial instability (i), (ii)

  strategic decision-making (i)

  strong ties, versus weak ties (i)

  sublimation (i)

  subprime mortgage crisis (i), (ii)

  sugar, evolutionary influences on taste for (i)

  suicide rates (i)

  sun-disk cult (i)

  sunshine, and speculation (i)

  Sunstein, Cass (i), (ii), (iii)

  super-ego (i), (ii)

  supply (i)

  System 1 thinking (i)

  and Brexit vote (i)

  and social media (i)

  System 1 versus System 2 thinking

  and brain imaging (i)

  in clubs (i)

  definition (i)

  in empathy (i)

  and evolutionary influences (i), (ii)

  fan worship (i)

  and herding (i)

  leader–follower relationships (i), (ii)

  links with Keynes on psychology (i)

  and mavericks (i)

  and modern technology (i)

  political decision-making (i)

  and speculation (i)

  in theory of mind (i)

  System 2 thinking (i)

  and Bayesian reasoning (i)

  Tajfel, Henri (i)

  in-groups versus out-groups (i)

  Tarde, Jean-Gabriel De (i)

  tattoos (i), (ii), (iii)

  tax payment, and social nudges (i)

  teaching, in orca pods (i)

  teamwork (i)

  technology (i)

  evolutionary influences (i)

  and financial instability (i)

  herding (i)

  and social networks (i)

  see also social media

  terrorism (i), (ii), (iii), (iv), (v)

  Thaler, Richard (i)

  Thanatos (death instinct) (i)

  theory of mind (i)

  3M, and invention of Post-it notes (i)

  Tobin tax (i)

  topknots, versus tattoos (i)

  Toxics Release Inventory (i)

  transcranial magnetic stimulation (i)

  Treatise on Probability, A (Keynes) (i)

  tribalism, political (i), (ii)

  Trotter, Wilfred (i)

  Trump, Donald (i), (ii)

  trust (i)

  Tulipmania (i), (ii)

  Twitter (i), (ii), (iii), (iv), (v), (vi), (vii), (viii)

  Twitter trolls (i), (ii)

  UKIP (i)

  uncertainty (i), (ii)

  and entrepreneurship (i)

  and expert opinion (i), (ii)

  and politics (i), (ii)

  and social information (i)

  unconscious conflicts, Freud’s analysis (i)

  unconscious influences (i), (ii)

  see also normative influences; System 2 thinking

  unconventional behaviour (i)

  urn game (i)

  US presidential campaign (2016) (i), (ii), (iii)

  utility theory (i)

  violence, in the night-time economy (i)

  virtue signalling (i)

  voluntary exchange (i)

  von Economo neurons (i)

  voting (i), (ii), (iii), (iv), (v), (vi)

  vulcanisation, of human brains (i)

  wages (i)

  Wakefield, Andrew, and the MMR scandal (i)

  Wall Street Crash (i)

  Wallace, Danny, and the Join Me movement (i)

  war (i), (ii), (iii)

  Warren, Robert, and stomach ulcer research (i)

  weak ties (i), (ii)

  weather, and speculation (i)

  whistleblowers (i), (ii)

  wildebeest (i), (ii)

  wisdom of crowds (i), (ii), (iii)

  and experts (i)

  wolves (i)

  work (i)

  World Health Organization (WHO) (i)

 

 

 


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