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    The Signal and the Noise

    Page 61
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      margin of error, 176, 178, 181, 213, 252, 452

      in economic forecasts, 183, 184

      in political polls, 62, 65, 176, 252, 452

      Markakis, Nick, 90

      “Market for Lemons, The” (Akerlof), 35

      MARL, 264

      Marshall Islands, 509

      Martinez, Edgar, 82, 83

      Marx, Karl, 53

      Massa, Eric, 72

      Massachusetts, 391

      Mathematics of Poker, The (Chen and Ankenman), 323

      Mathews, F. David, 206

      Mathis, Catherine, 25, 462

      matrices, in weather forecasting, 114–18

      Mauna Loa Observatory, 375, 401

      Maunder Minimum, 392

      Mayfield, Max, 109, 110, 138–41

      measles, 214, 223–24, 225

      Mechanical Turk, 262–64, 263, 265, 281, 282

      media bias, 60

      medical diagnoses, 448

      meditation, 328

      Medvedev, Dmitri, 48

      Memphis, Tenn., 396

      Mercury, 374

      Merrill Lynch, 353

      metacognition, 273

      methane, 374, 375

      Met Office (UK), 394, 408

      Mexico, 210, 215–16

      Mexico City, 144

      middle class, 189

      Middle East, 398

      Midway Islands, 413

      Milledge, Lastings, 89

      Millikan, Arikia, 334

      mind blindness, 419

      minor league system, 92–93

      Mississippi, 109, 123–24

      MIT, 384

      MMR shots, 224

      modeling for insights, 229

      models:

      agent-based, 226, 227–29, 230

      bugs in, 285–86

      of CDO defaults, 13, 22, 26, 27, 29, 42, 45

      for chess, 267

      of climate system, 371, 380, 384–85, 401–6, 402

      crudeness of, 7

      of elections, 15

      foxlike approach of, 68

      FRED, 226

      fundamentals-based, 68

      language as, 230

      naïve trust in, 11

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

      for predicting earthquakes, 158–61, 167

      regression, 100

      signal vs. noise in, 388–89

      SIR, 220–21, 221, 223, 225, 389

      thought experiments as, 488

      use and abuse of, 230

      as useful even in failure, 230–31

      for weather forecasting, 114–18, 119, 120, 121, 122, 123–25, 225, 226, 388

      Model T, 212

      Mojave Desert, 159–60

      Molina, Yadier, 101

      moment magnitude scale, 142n

      momentum trading, 344–45, 345, 368

      Moneyball (Lewis), 9, 10, 77, 86, 87, 92, 93–94, 95, 99, 101, 105, 107, 314, 446

      Moneymaker, Chris, 294–95, 296, 327

      Mongols, 145n

      Monroe Doctrine, 419

      Moody’s, 19, 24–25, 43, 44, 45, 463

      Morgan, Joe, 102

      Morris, Dick, 55, 56, 61

      mortgage-backed securities, 462

      home sales vs., 34–35, 35, 39, 42, 43

      nonlinearity of, 119

      ratings of, 19, 20, 24, 68

      shorting of, 355

      mortgages, 24

      defaults on, 27–29, 184

      subprime, 27, 33, 464

      Mount Pinatubo, 392, 399–400

      Moussaoui, Zacarias, 422, 444

      MRSA, 227, 228

      MSM, 222, 222, 487

      MSNBC, 51n

      Müller-Lyer illusion, 366, 367

      multiplier effect, 42

      mumps, 224

      Murphy, Allan, 129

      Murphy, Donald, 89

      mutual funds, 339–40, 340, 356, 363–64, 498

      Nadal, Rafael, 331, 357-58, 496

      Naehring, Tim, 77

      Nagasaki, Japan, 432

      Nagin, Ray, 110, 140–41

      Napoleon I, Emperor of France, 262

      NASA, 174–75, 370, 379, 393–95

      NASDAQ, 346, 346, 348, 365

      Nash, John, 419

      National Academy of Sciences, 384

      National Basketball Association (NBA), 92, 234–40, 255n

      National Center for Atmospheric Research (NCAR), 110, 111, 118

      National Collegiate Athletic Association (NCAA), 451n

      national debt, 189, 509

      National Economic Council, 37

      National Football League (NFL), 92, 185–86, 336, 480

      National Hurricane Center, 108, 109–10, 126, 138–41

      National Institute of Nuclear Physics, 143

      National Journal, 57–58

      National League, 79

      National Oceanic and Atmospheric Administration (NOAA), 122, 393–95

      National Park Service, 267

      National Science Foundation, 473

      National Weather Service (NWS), 21, 122–23, 125, 126, 127–28, 131, 135, 139, 178–79, 393–94

      NATO, 428–29, 429, 430–31, 431, 437, 438, 439

      Nature, 13, 254, 409

      Nauru, 372

      nearest neighbor analysis, 85

      negative feedback, 38, 39

      neighborhoods, 224–25, 226–27, 230

      Netherlands, 31, 210

      New Jersey, 391

      New Madrid Fault, 154

      New Orleans, La., 108–9, 138, 139–40, 387, 388

      Newsweek, 399

      Newton, Isaac, 112, 114, 118, 241, 249, 448

      New York, N.Y., 219n, 391, 391, 396, 432, 474, 514

      New Yorker, 103

      New York Knicks, 119

      New York Stock Exchange, 329, 363, 370

      New York Times, 146, 205–6, 276, 281, 356, 433, 484

      New York Yankees, 74

      New Zealand, 210

      9/11 Commission, 444, 445

      9/11 Commission Report, 423

      Ninety-Five Theses (Luther), 4

      Ningirsu, 112

      nitrous oxide, 375

      Nixon, Richard, 400

      No Free Lunch, 361–62

      noise, 63, 250

      in batting averages, 339

      in climatology, 371–73

      definitions of, 416

      in financial markets, 362–64

      increase in, 13

      in predictive models, 388–89

      signals vs., 8, 13, 17, 60, 81, 133, 145, 154, 162, 163, 173, 185, 196, 285–86, 295, 327, 340, 371–73, 388–89, 390–91, 404, 448, 451, 453

      in stock market, 368

      “Noise” (Black), 362

      no-limit hold ’em, 300–308, 309–11, 315–16, 316, 318, 324n, 495

      nonlinear systems, 29, 118–19, 120, 376–77

      Nordhaus, William, 398

      North American Aerospace Defense Command (NORAD), 423

      Norway, 31

      NRSROs, see ratings agencies

      Nuclear Cities Initiative, 512

      nuclear weapons, 434, 436, 438

      see also weapons of mass destruction

      null hypothesis, 260

      see also statistical significance test

      Nunn, Sam, 434

      Oakland Athletics, 87, 92, 99–100, 106, 471

      Obama, Barack, 40, 49, 55, 59, 252, 358, 379, 444, 468, 473

      obesity, 372, 373

      objective truth, 14

      objectivity, 14, 64, 72–73, 100, 252, 253, 255, 258-59, 288, 313, 403, 453

      observer effect, 188, 472

      Occam’s razor, 389

      Odean, Terrance, 359

      Oklahoma City bombing, 425, 427

      Okun’s law, 189

      Omaha, Nebr., 396

      O’Meara, Christopher, 36

      Omori’s Law, 477

      On-base percentage (OBP), 95, 106, 314, 471

      O’Neal, Shaquille, 233–34, 235, 236, 237

      options traders, 364

      order, complexity and, 173

      outliers, 65, 425–28, 452


      out of sample, 43–44, 420

      Overcoming Bias (blog), 201

      overconfidence, 179–83, 191, 203, 323–24, 386, 443, 454

      in stock market trading, 359–60, 367

      overeating, 503

      overfitting, 163–68, 166, 191, 452n, 478

      earthquake predictions and, 168–71, 185

      over-under line, 239–40, 257, 286

      ozone, 374

      Ozonoff, Alex, 218–19, 223, 231, 483

      Pacific countries, 379

      Pacific Ocean, 419

      Pacific Poker, 296–97

      Page, Clarence, 48, 467

      PageRank, 291

      Pakistan, 434–35

      Palin, Sarah, 59

      Palm, 361, 362

      panics, financial, 38, 195

      Papua New Guinea, 228

      Pareto principle, 312–13, 314, 315, 316n, 317, 496

      Paris, 2

      Parkfield, Calif., 158–59, 174

      partisanship, 13, 56, 57, 58, 60, 64, 92, 130, 200, 378, 411, 452

      Party Poker, 296, 319

      patents, 7–8, 8, 411, 411n, 460, 514

      pattern detection, 12, 281, 292

      Pearl Harbor, 10, 412–13, 414, 415–17, 419–20, 423, 426, 444, 510

      Pearl Harbor: Warning and Decisions (Wohlstetter), 415, 416, 418, 419–20

      PECOTA, 9, 74–75, 78, 83, 84, 85–86

      scouts vs., 88–90, 90, 91, 102, 105, 106–7

      Pecota, Bill, 88

      Pedroia, Dustin, 74–77, 85, 89, 97, 101–5

      penicillin, 119

      pensions, 24, 27, 34, 356, 463

      P/E (price-to-earnings) ratio, 348, 349, 350–51, 354, 365, 369, 500

      Perry, Rick, 59, 217

      persistence, 131, 132, 132

      personal income, 481

      Peru, 210

      Petit, Yusemiro, 89

      Petty, William, 212

      pharmaceuticals, 411

      Philadelphia Phillies, 286

      Pielke, Roger, Jr., 177n

      pigs, 209

      Pippen, Scottie, 235, 236

      pitchers, 88, 90, 92

      Pitch f/x, 100–101, 106–7

      Pittsburgh, Pa., 207–8, 228, 230

      Pittsburgh, University of, 225–26

      plate discipline, 96

      Plato, 2

      pneumonia, 205

      Poe, Edgar Allan, 262–64, 282, 289

      Poggio, Tomaso, 12, 231

      point spread, 239

      poker, 10, 16, 59–60, 63, 66, 256, 284, 294–328, 343, 362, 494–95

      Bayesian reasoning in, 299, 301, 304, 306, 307, 322–23

      boom in, 294, 296, 314–15, 319, 323

      competition in, 313

      computer’s playing of, 324

      fish in, 312, 316, 317–19

      inexperience of mid-2000s players in, 315

      limit hold ’em, 311, 322, 322

      luck vs. skill in, 321–23

      no-limit hold ’em, 300–308, 309–11, 315–16, 316, 318, 324n, 495

      online, 296–97, 310

      plausible win rates in, 323

      predictions in, 297–99, 311–15

      random play in, 310

      results in, 327

      river in, 306, 307, 494

      signal and noise in, 295

      suckers in, 56, 237, 240, 317–18, 320

      Texas hold ’em, 298–302

      volatility of, 320, 322, 328

      PokerKingBlog.com, 318

      PokerStars, 296, 320

      Poland, 52

      Polgar, Susan, 281

      polio vaccine, 206

      political partisanship, see partisanship

      political polls, see polls

      politics, political science, 11, 14–15, 16, 53, 426

      failures of predictions on, 11, 14–15, 47–50, 49, 53, 55–59, 64, 67–68, 157, 162, 183, 249, 314

      small amount of data in, 80

      polls, 61–63, 62, 68, 70, 426

      biases in, 252–53

      frequentist approach to, 252

      individual vs. consensus, 335

      margin of error in, 62, 65, 176, 252, 452

      outlier, 65

      prediction interval in, 183n

      Popper, Karl, 14, 15

      Population Bomb, The (Ehrlich and Ehrlich), 212–13

      pork, 210

      Portland Trail Blazers, 234, 235–37, 489

      positive feedback, 38, 39, 368

      posterior possibility, 244

      power-law distribution, 368n, 427, 429–31, 432, 437, 438, 441, 442

      precision, accuracy vs., 46, 46, 225

      predestination, 112

      Predicting the Unpredictable: The Tumultuous Science of Earthquake Prediction (Hough), 157

      prediction, 1, 16

      computers and, 292

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

      definition of, 452n

      Enlightenment debates about, 112

      in era of big data, 9, 10, 197, 250

      fatalism and, 5

      feedback on, 183

      forecasting vs., 5, 149

      by foxes, see foxes

      of future returns of stocks, 330–31, 332–33

      of global warming, 373–76, 393, 397–99, 401–6, 402, 507

      in Google searches, 290–91

      by hedgehogs, see hedgehogs

      human ingenuity and, 292

      of Hurricane Katrina, 108–10, 140–41, 388

      as hypothesis-testing, 266–67

      by IPCC, 373–76, 389, 393, 397–99, 397, 399, 401, 507

      in Julius Caesar, 5

      lack of demand for accuracy in, 202, 203

      long-term progress vs. short-term regress and, 8, 12

      Pareto principle of, 312–13, 314

      perception and, 453–54, 453

      in poker, 297–99, 311–15

      probability and, 243

      quantifying uncertainty of, 73

      results-oriented thinking and, 326–28

      scientific progress and, 243

      self-canceling, 219–20, 228

      self-fulfilling, 216–19, 353

      as solutions to problems, 14–16

      as thought experiments, 488

      as type of information-processing, 266

      of weather, see weather forecasting

      prediction, failures of:

      in baseball, 75, 101–5

      of CDO defaults, 20–21, 22

      context ignored in, 43

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

      in economics, 11, 14, 40–42, 41, 45, 53, 162, 179–84, 182, 198, 200–201, 249, 388, 477, 479

      financial crisis as, 11, 16, 20, 30–36, 39–42

      of floods, 177–79

      of flu, 209–31

      of global cooling, 399–400

      housing bubble as, 22–23, 24, 25–26, 28–29, 32–33, 42, 45

      overconfidence and, 179–83, 191, 203, 368, 443

      overfitting and, 185

      on politics, 11, 14–15, 47–50, 49, 53, 55–59, 64, 67–68, 157, 162, 183, 249, 314

      as rational, 197–99, 200

      recessions, 11

      September 11, 11

      in stock market, 337–38, 342, 343–46, 359, 364–66

      suicide bombings and, 424

      by television pundits, 11, 47–50, 49, 55

      Tetlock’s study of, 11, 51, 52–53, 56–57, 64, 157, 183, 443, 452

      of weather, 21–22, 114–18

      prediction interval, 181-183, 193

      see also margin of error

      prediction markets, 201–3, 332–33

      press, free, 5–6

      Price, Richard, 241–42, 490

      price discovery, 497

      Price Is Right, 362

      Principles of Forecasting (Armstrong), 380

      printing press, 1–4, 6, 13, 17, 250, 447

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

      probability, 15, 61–64, 63, 180, 180, 181

      calibration a
    nd, 134–36, 135, 136, 474

      conditional, 240, 300; see also Bayes’s theorem

      frequentism, 252

      and orbit of planets, 243

      in poker, 289, 291, 297, 302–4, 302, 306, 307, 322–23

      posterior, 244

      predictions and, 243

      prior, 244, 245, 246, 252, 255, 258–59, 260, 403, 406–7, 433n, 444, 451, 490, 498

      rationality and, 242

      as waypoint between ignorance and knowledge, 243

      weather forecasts and, 195

      probability distribution, of GDP growth, 201

      probability theory, 113n

      productivity paradox, 7–8

      “Programming a Computer for Playing Chess” (Shannon), 265–66

      progress, forecasting and, 1, 4, 5, 7, 112, 243, 406, 410–11, 447

      prospect theory, 64

      Protestant Reformation, 4

      Protestant work ethic, 5

      Protestants, worldliness of, 5

      psychology, 183

      Public Opinion Quarterly, 334

      PURPLE, 413

      qualitative information, 100

      quantitative information, 72–73, 100

      Quantum Fund, 356

      quantum mechanics, 113–14

      Quebec, 52

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

      radar, 413

      radon, 143, 145

      rain, 134–37, 473, 474

      RAND database, 511

      random walks, 341

      Rapoport, David C., 428

      Rasskin-Gutman, Diego, 269

      ratings agencies, 463

      CDOs misrated by, 20–21, 21, 22, 26–30, 36, 42, 43, 45

      housing bubble missed by, 22–23, 24, 25–26, 28–29, 42, 45, 327

      models of, 13, 22, 26, 27, 29, 42, 45, 68

      profits of, 24–25

      see also specific agencies

      rationality, 183–84

      biases as, 197–99, 200

      of markets, 356–57

      as probabilistic, 242

      Reagan, Ronald, 50, 68, 160, 433, 466

      RealClimate.org, 390, 409

      real disposable income per capita, 67

      recessions, 42

      double dip, 196

      failed predictions of, 177, 187, 194

      in Great Moderation, 190

      inflation-driven, 191

      of 1990, 187, 191

      since World War II, 185

      of 2000-1, 187, 191

      of 2007-9, see Great Recession

      rec.sport.baseball, 78

      Red Cross, 158

      Red River of the North, 177–79

      regression analysis, 100, 401, 402, 498, 508

      regulation, 13, 369

      Reinhart, Carmen, 39–40, 43

      religion, 13

      Industrial Revolution and, 6

      religious extremism, 428

      religious wars of sixteenth and seventeenth centuries, 2, 6

      Remote Sensing Systems, 394

      Reno, Nev., 156–57, 157, 477

      reserve clause, 471

      resolution, as measure of forecasts, 474

      results-oriented thinking, 326–28

      revising predictions, see Bayesian reasoning

      Ricciardi, J. P., 87

      Rice, Condoleezza, 422, 425

     


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