Online Read Free Novel
  • Home
  • Romance & Love
  • Fantasy
  • Science Fiction
  • Mystery & Detective
  • Thrillers & Crime
  • Actions & Adventure
  • History & Fiction
  • Horror
  • Western
  • Humor

    The Signal and the Noise

    Page 59
    Prev Next


      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


      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

     


    Prev Next
Online Read Free Novel Copyright 2016 - 2026