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The Signal and the Noise

Page 59

by Nate Silver


  results in, 327

  rich data in, 79–80, 84

  Baseball America, 75, 87, 89, 90, 90, 91

  Baseball Encyclopedia, 94

  Baseball Prospectus, 75, 78, 88, 297

  basic reproduction number (R0), 214–15, 215, 224, 225, 486

  basketball, 80n, 92–93, 233–37, 243, 246, 256, 258, 489

  batting average, 86, 91, 95, 100, 314, 321, 321, 339

  Bayer Laboratories, 11–12, 249

  Bayes, Thomas, 240–43, 251, 253, 254, 255, 490

  Bayesian reasoning, 240, 241–42, 259, 349, 444

  biases and beliefs in, 258–59

  chess computers’ use of, 291

  Christianity and, 490

  in climatology, 371, 377–78, 403, 406–7, 407, 410–11

  consensus opinion and, 367

  Fisher’s opposition to, 252

  gambling esteemed in, 255–56, 362

  priors in, 244, 245, 246, 252, 255, 258–59, 260, 403, 406–7, 433n, 444, 451, 490, 497

  stock market and, 259–60

  Bayes’s theorem, 15, 16, 242, 243–49, 246, 247, 248, 249, 250, 258, 266, 331, 331, 448–49, 450–51

  in poker, 299, 301, 304, 306, 307, 322–23

  Beane, Billy, 77, 92, 93–94, 99–100, 103, 105–7, 314

  Bear Stearns, 37

  beauty, complexity and, 173

  beer, 387, 459

  behavioral economics, 227–28

  Belgium, 459

  Bellagio, 298–99, 300, 318, 495

  bell-curve distribution, 368n, 496

  Bengkulu, Indonesia, 161

  Benjamin, Joel, 281

  Berlin, Isaiah, 53

  Berners-Lee, Tim, 448, 514

  BetOnSports PLC, 319

  bets, see gambling

  Betsy, Hurricane, 140

  betting markets, 201–3, 332–33

  see also Intrade

  biases, 12–13, 16, 293

  Bayesian theory’s acknowledgment of, 258–59

  in chess, 273

  and errors in published research, 250

  favorite-longshot, 497

  of Fisher, 255

  objectivity and, 72–73

  toward overconfidence, 179–83, 191, 203, 454

  in polls, 252–53

  as rational, 197–99, 200

  of scouts, 91–93, 102

  of statheads, 91–93

  of weather forecasts, 134–38

  Bible, 2

  Wicked, 3, 13

  Biden, Joseph, 48

  Big Data, 9–12, 197, 249–50, 253, 264, 289, 447, 452

  Big Short, The (Lewis), 355

  Billings, Darse, 324

  Bill James Baseball Abstract, The, 77, 78, 84

  bin Laden, Osama, 432, 433, 434, 440, 509

  binomial distribution, 479

  biological weapons, 437, 438, 443

  biomedical research, 11–12, 183

  bird flu, 209, 216, 229

  Black, Fisher, 362, 367, 369

  “Black Friday,” 320

  Black Swan, The (Taleb), 368n

  Black Tuesday, 349

  Blanco, Kathleen, 140

  Blankley, Tony, 50

  Blodget, Henry, 352–54, 356, 364–65, 500

  Blue Chip Economic Indicators survey, 199, 335–36

  Bluefire, 110–11, 116, 118, 127, 131

  bluffing, 301, 303, 306, 310, 311, 328

  Bonus Baby rule, 94

  books, 2–4

  cost of producing, 2

  forecasting and, 5

  number of, 2–3, 3, 459

  boom, dot-com, 346–48, 361

  Boston, 77

  Boston Red Sox, 63, 74–77, 87, 102, 103–5

  Bowman, David, 161–62, 167

  Box, George E. P., 230

  Brady, Brian, 158, 159

  brain, information storage capacity of, 12

  breadth, depth vs., 271–73

  breast cancer, 245–46, 246, 248, 250

  Brier score, 474

  British Medical Journal, 254

  “broken windows” theory of crime, 439

  Brown, Shawn, 226

  Brownian noise, 173

  Bryant, Kobe, 233–34, 237

  bubbles, 38, 195, 333, 356, 357, 369–70

  credit, 68, 196

  difficulty of bursting, 360, 362, 367

  dot-com, 346–48, 361

  efficient-market hypothesis and, 346–52

  housing, see housing bubble

  real-time identification of, 347–48, 369–70

  signals of, 366

  Buchanan, Pat, 48, 50

  bugs:

  in Deep Blue, 283, 285, 286, 288–89

  in models, 285–86

  Bulgaria, 52

  Bureau of Economic Analysis, 481

  Bush, George H. W., 68

  Bush, George W., 11, 55, 67, 443, 444, 510

  business cycle, 185, 190

  Business Insider, 353

  Byrne, Donald, 286

  Cain, Herman, 59

  calibration, 134–36, 135, 136, 474

  California, 22, 149–50, 427, 432

  California Earthquake Prediction Council, 148

  California Institute of Technology (Caltech), 146

  Callendar, G. S., 401

  caloric consumption, 372, 373

  Cal State Fullerton, 161

  Calvinism, 112

  Campbell, Murray, 268, 284–85, 286, 288

  Canada, 52, 210, 379

  capitalism, 13

  Protestant work ethic and, 5

  see also free markets

  CAPTCHA technology, 124

  carbon dioxide, 374, 375, 379, 392–93, 395, 401–3, 404, 406, 408, 508

  carbon emissions, 397–98, 399, 406, 410

  Carew, Rod, 84, 85

  Carley, Kathleen, 440

  Carruthers, David, 319

  Carter, Jimmy, 208

  cartography, 3, 220

  Case, Karl, 30, 32

  Case-Shiller index, 30, 30, 464

  causation, correlations vs., 185–88, 254–55

  Center for Strategic and International Studies (CSIS), 425–27

  Centers for Disease Control (CDC), 205, 206–7, 211

  Central Park, 391, 391

  CFOs, 359

  Chadwick, Henry, 95

  chaos, cone of, 139

  chaos theory, 118–22, 124, 132, 162, 172, 195, 386

  complexity theory vs., 386n

  Charleston, S.C., 150

  chartists, 339–40, 341

  Chavez, Eric, 99

  chemistry, 114

  chess, 10, 16, 262–64, 263, 265–66, 493–94

  beginning of game, 268–71

  birth of computers for, 265–66

  databases for, 270, 277

  endgame of, 268, 276–79, 285

  forecasting in, 271, 289

  heuristics for, 267, 269, 272, 273, 284, 286

  midgame of, 268, 271–76, 285

  pattern detection in, 281

  as theoretically solvable, 267

  ChessBase.com, 292–93

  Chicago, Ill., 223–24, 225, 228, 230, 432

  Chicago, University of, 227

  Chicago Cubs, 63, 104

  Chicago White Sox, 88

  Chile, 144, 438

  China, 189, 209, 400

  chlorofluorocarbons (CFCs), 375

  Christchurch, New Zealand, 174

  Christianity, 490

  CIA, 51, 467

  terrorism prevention by, 273, 424, 426, 433, 443, 510

  CIBC Oppenheimer, 352

  cigarette smoking, 254–55, 258

  Cinema Rex theater, 425n

  Cirque du Soleil, 318

  Citizens Bank Park, 286

  Civil Aeronautics Administration, 123n

  Civil Protection Department, Italy, 143

  Clarke, Richard, 425

  Clauset, Aaron, 427, 431, 432, 437, 441, 442, 511–12

  Clean Air Act, 400

  Cleveland, Gr
over, 334

  Cleveland Cavaliers, 239–40, 257

  Clift, Eleanor, 48, 49, 50, 56

  climate change, use of term, 376, 377n

  see also global warming

  Climategate, 408

  Climatic Research Unit (CRU), 408

  climatology, 131, 132, 370–411

  Bayesian reasoning in, 371, 377–78, 403, 406–7, 407, 410–11

  models of, 371, 380, 384–85, 401–6, 402

  signal vs. noise in, 371–73

  uncertainty in, 389–93, 390

  Clinton, Bill, 55, 56, 433, 510

  Clinton, Hillary, 59, 60, 252

  clouds, 385, 386

  CNN, 217

  coal, 410

  cognitive psychology, 227

  Cole, USS, 422, 423

  comets, 447

  commerce, 10

  Commerce Department, U.S., 123n

  commercial lending, 187

  commodity prices, 186n, 202

  common sense, 451

  communism, 51

  community cards, 299

  compartments, in disease modeling, 220–21, 223

  competition, 1, 16, 97, 106, 128, 189

  in poker, 313

  in the stock market, 313, 352, 364

  in weather forecasting, 127–28, 131–37, 132

  competitive advantage, 313–14

  competitiveness, 97

  complexity, of global warming forecasting, 382

  complexity theory, 172–73, 368–69, 386

  chaos theory vs., 386ncomputer age, 7–8

  computers:

  chess played by, 261–62, 287–88; see also Deep Blue; Deep Thought; Fritz

  poker played by, 324

  predictions and, 292

  weather forecasting by, 116–18, 123–25, 289

  condom fatigue, 222–23

  cone of chaos, 139

  Conference Board, 187

  confidence, 46

  accuracy and, 203

  see also overconfidence

  confidence interval, see margin of error

  Congress, U.S., 19, 123n, 207, 408

  low approval rating of, 188

  see also House of Representatives, U.S.; Senate, U.S.

  Connecticut, 391

  consensus, 66–67, 331–32, 335–36, 367, 451

  of global-warming forecasting, 382–84

  conservatism, 509

  conspiracy theories, 417n

  consumer confidence, 186n, 187–88

  consumer spending, 186n, 187

  context:

  as ignored in failed predictions, 43

  statistics and, 79, 84, 91, 100–102, 105, 234, 240

  contrarianism, 380

  Cook, Charlie, 69–70

  Cook County Jail, 228

  Cook Political Report, 69–72, 100n, 469

  Copenhagen climate conference, 378–80

  correlations, causation vs., 185–88, 254–55

  Council of Economic Advisers, 40

  Council on Foreign Relations, 435

  Cramton, Steven, 292–93

  creativity, 287–88, 289, 290, 291, 311

  credit bubble, 68, 196

  credit default option (CDO), 20–21, 21, 22, 24, 25, 26–30, 36, 43, 462

  tranches of, 26–28, 28

  credit default swap, 36

  credit markets, 19

  Crist, Charlie, 33

  Cronkite, Walter, 207–8

  Crowley, Monica, 48–49, 467

  crystal methamphetamine, 221

  Cuban Missile Crisis, 419, 433

  Curb Your Enthusiasm, 111

  cyclones, see hurricanes

  Czechoslovakia, 52

  Daily Kos, 60

  Damon, Matt, 317

  Dark Winter, 437

  Darwin, Charles, 375

  data:

  in baseball, 79–80, 84

  Big, 9–12, 197, 250, 253, 264, 289, 447, 452

  distribution of, 164, 165

  in economics, 80, 185, 193–94

  in frequentism, 253

  overfitting of, 163–71, 166, 168–71, 185, 191, 452n, 478

  Pareto principle and, 313

  data mining, 298

  Daum, Robert, 224, 227, 229

  David, Larry, 111

  Davis, Ricky, 239, 257

  De Bernardinis, Bernardo, 143

  debt crisis, European, 198

  Deep Blue, 10, 266, 268, 292, 493–94

  bug in, 283, 285, 286, 288–89

  creation of, 283–85

  Kasparov’s final games against, 282–83

  Kasparov’s first game against, 268, 270–79, 271, 274, 275, 276, 278

  Kasparov’s second game against, 279–82, 280

  rook moved for no apparent purpose by, 277–79, 278, 288

  Deep Thought, 268, 284

  default, 20–21, 22, 27–29, 184

  defense, 90, 92, 106

  Defense Department, U.S., terrorism prevention by, 273

  defensive range, 96

  de Groot, Adriaan, 272

  Denver, Colo., 150

  Denver Post, 176

  depth, breadth vs., 271–73

  determinism, 112, 113, 241, 242, 249, 448

  Detroit Tigers, 77, 88, 94

  difference engine, 263

  Discover, 160

  discrimination, calibration vs., 474

  disease, see infectious disease

  diversification, 27

  “Divine Benevolence” (Bayes), 241, 242

  Djokovic, Novak, 496

  Dodger Stadium, 79

  Dokhoian, Yuri, 282

  Domodedovo Airport, 440

  dot-com boom, 346–48, 361

  Dow Jones Industrial Average, 37, 339, 340, 343, 498, 503

  Doyle, Arthur Conan, 307

  Drake equation, 488

  Druckenmiller, Stanley, 356

  Dukakis, Michael, 68

  Duke University, 359

  Dutch book, 256n

  Dwan, Tom, 308–11, 313, 315, 318, 324, 328

  dynamic systems, 16, 118, 120, 194

  E*Trade, 339, 363, 498

  earthquake forecasting, 149–54, 230

  computers in, 289

  failure of, 7, 11, 143, 147–49, 158–61, 168–71, 174, 249, 253, 346, 389

  overfitting and, 168–71, 185

  short-term, 174

  time-dependent, 154

  earthquakes, 16, 142–75, 476, 512

  aftershocks to, 154, 161, 174, 476–77

  in Anchorage, 149

  causes of, 162

  distribution across time and space of, 154–57, 155, 427

  foreshocks to, 144, 154, 155–57, 476

  Great Sumatra, 161, 171

  in Haiti, 147n, 155–56, 156, 224

  in Japan, 154, 155, 168–71, 172

  in L’Aquila, 142–44, 148, 154–55, 157, 173

  Lisbon, 145

  list of deadliest, 147

  Loma Prieta, 160

  magnitude vs. frequency of, 151–53, 152, 153, 368n, 427, 432, 437–38, 441

  near Reno, 156–57, 157

  in New Zealand, 174

  earthquake swarm, 143n, 173

  Earth System Science Center, 408

  East Germany, 52

  eBay, 353

  Ecclesiastes, 459

  economic data, noise in, 193–94, 198

  economic growth, 6, 6, 186n

  economic progress, 7, 112, 243

  economics, predictions in, 33, 176–77, 230

  actual GDP vs., 191–93, 192, 193, 194

  Big Data and, 197

  computers in, 289

  consensus vs. individual, 197–98, 335

  context ignored in, 43

  an ever-changing economy, 189–93

  economics, predictions in (Cont.)

  failures of, 11, 14, 40–42, 41, 45, 53, 162, 179–88, 182, 198, 200–201, 249, 388, 477, 479

  feedback and, 188, 195

  “leading indicators” in, 186–88, 196–97<
br />
  overconfidence in, 179–83, 191, 203

  risk and, 203

  three challenges of, 185

  economics, small data in, 80, 185, 193–94

  economic value, of forecasts, 129–30

  Economist, The, 22, 434–35

  ECRI, 196–97

  efficient-market hypothesis, 333, 337–38, 449–50

  bubbles and, 360

  complications of, 356

  irrational exuberance vs., 346–52

  as self-defeating, 363

  test of, 343–46

  three forms of, 341–43

  two components in, 361–62

  effort, predictive success vs., 312

  Eggleston, J. D., 136–37

  eHarmony, 426

  Ehrlich, Anne, 212–13

  Ehrlich, Paul R., 212–13

  Eiffel Tower, 422

  80–20 rule, 312–13, 315, 316n, 317

  Eighty Years’ War, 4

  Eisenhower, Dwight D., 67

  Eisenstein, Elizabeth, 4

  elections, U.S.:

  of 1892, 334

  of 1988, 67

  of 2000, 11, 67, 68, 468–69

  of 2008, 19, 48–49, 55, 56, 59, 60, 252, 426, 468

  of 2010, 57–58, 61, 64

  of 2012, 59, 65, 333, 336

  electrical engineering, 173

  Elements of Poker (Angelo), 325

  Elias Baseball Analyst, 77

  Ellsbury, Jacoby, 101

  El Niño-Southern Oscillation (ENSO) cycle, 392, 393, 401, 403

  Emanuel, Kerry, 384–85, 387

  Emanuel, Rahm, 48

  English Civil War, 4

  Enlightenment, 2, 112

  Enron, 356

  entitlement, sense of, 326

  epidemiology, 204–31

  basic reproduction number in, 214–15, 215, 224, 225

  extrapolation in, 212–16

  self-canceling predictions in, 219–20

  self-fulfilling predictions in, 217–18

  SIR model in, 220–21, 221, 223, 225, 389

  equity holdings, 357

  equity premium puzzle, 349n

  ERA, 91, 95

  ESPN, 294–95, 308

  “Essay Toward Solving a Problem in the Doctrine of Chances,” 241

  Estonia, 50–51, 52

  ethnography, 228

  European debt crisis, 198

  European Union, 397–98

  evacuations, 126–27

  evolution, 292

  EVTMX (Eaton Vance Dividend Builder A), 339–40

  experience, 57, 312

  Expert Political Judgment (Tetlock), 52

  experts, 14, 52–53

  definition of, 467

  demand for, 202

  extrapolation, 212–16

  eyesight, 123, 124

  FAA, 423

  Fair, Ray C., 482

  false negatives, 372

  false positives, 245, 249–50, 251, 253

  falsifiability, 14–15, 452

  Fama, Eugene, 337–38, 339–40, 341, 346, 347, 353, 362, 363, 368n, 497

  Fannie Mae, 33

  fashion, 217

  fatalism, 5

  fate:

  American belief in control of, 10

  in Julius Caesar, 4–5, 10

  fat tails, 368, 496

  fault lines, 162

  favorite-longshot bias, 497

 

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