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    The Signal and the Noise

    Page 60
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      fear, vs. greed, 38

      Federal Elections Commission, 69

      Federal Open Markets Committee, 190–91

      Federal Reserve, 37, 188

      Federal Reserve Bank of Boston, 198

      Federal Reserve Bank of New York, 465

      Federal Reserve Bank of Philadelphia, 179

      feedback:

      in climate system, 133

      in economic forecasts, 188, 195

      negative, 38, 39

      positive, 38, 39, 368

      on weather forecasting, 134–35, 386

      FEMA, 141

      Fenway Park, 79

      Fesenko, Kyrylo, 238

      Fine, Reuben, 272

      First Amendment, 380

      fiscal policy, 42, 186n

      Fischer, Bobby, 286–88, 287, 443

      fish, in poker, 312, 316, 317–19

      Fisher, Ronald Aylmer, 251–52, 254, 256–57, 259, 260

      Fitch Ratings, 19, 24

      FiveThirtyEight, 9, 48, 59, 61, 62, 62, 65, 67, 69, 314, 320, 468, 497

      Intrade vs., 334, 335, 336–37

      Five Tools, 95–96

      Fleming, Alexander, 119

      Flip That House, 32

      Flip This House, 32

      Floehr, Eric, 131, 132, 133–34, 474

      flood prediction, 177–79, 178

      floods, 145, 177–79, 178

      flop, in poker, 299, 303, 303, 304, 305, 306, 310

      Florida, 108

      flu, 204–5

      A/Victoria, 205–6, 208

      bird, 209, 216, 229

      H1N1, see H1N1

      H3N2, 216

      news about, 230

      1957 outbreak of, 229

      1968 outbreak of, 229

      Spanish, 205, 211, 214, 224, 229

      vaccine for, 206–8, 483–84

      fluid dynamics, 118

      football, 80n, 92–93, 185–86, 336

      Ford, Gerald, 206, 208, 229

      Ford, Henry, 212

      forecasting:

      in baseball, 72–73, 76–77, 82–84, 93, 99–103; see also PECOTA; scouts

      in chess, 271, 289

      by computer, 289

      of earthquakes, see earthquake forecasting

      as planning and decision making under uncertainty, 5, 267

      predictions vs., 5, 149

      progress and, 5

      updating of, 73

      forecasting, global warming, 380–82

      complexity in, 382

      consensus in, 382–84

      uncertainty in, 382

      ForecastWatch.com, 132

      foreshocks, 144, 154, 155–57, 476

      Fort Dix, 204, 206, 208, 223–25, 229

      Fort Riley, 205

      fortune-telling, 5

      Fourier, Joseph, 375

      foxes, 53–54, 54, 55, 73

      consensus process emulated by, 67

      improvements in predictions by, 57, 68

      as television pundits, 56

      Fox News, 51n, 55, 56

      France, 120

      Franklin, Benjamin, 262

      Freakonomics (Levitt and Dubner), 9

      Freakonomics blog, 136–37, 334

      FRED, 225–26

      Freddie Mac, 33

      free agents, 82, 90, 94, 99

      free markets, 1, 128, 332, 369, 370, 451, 496–97

      free will, 112

      see also determinism

      French Wars of Religion, 4

      frequentism, 252–53, 254, 259, 260

      Freud, Sigmund, 53

      Friedel, Frederic, 278–79, 282–83

      Fritz, 278, 282n

      Frontline, 370n

      Fukushima nuclear reactor, 11, 168

      Full Tilt Poker, 309

      fundamental analysis, 341, 348, 354

      fundamentals-based models, in elections forecasting, 68

      futarchy, 201

      Future Shock (Toffler), 12, 13

      Galfond, Phil, 309

      Galileo, 4, 254

      Gallup polls, 364–65, 497

      gambling, 232–61, 238

      on baseball, 286

      Bayesian philosophy’s esteem for, 255–56, 362

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

      point spread, 239

      Game Change, 59

      Game of the Century, 286–88, 287

      game theory, 284–85, 311, 419

      Gates, Bill, 264

      Gates, H. L. “Skip,” 417n

      GDP, 482

      forecasting of, 180, 181–83, 182, 186n, 190, 194, 198, 199, 200–201, 202–3

      growth in, vs. job growth, 189

      Gehringer, Charlie, 84, 85

      German Peasants’ War, 4

      Germany, 2, 115, 120, 210

      Germany, East, 52

      Giambi, Jason, 99

      GIGO (garbage in, garbage out), 289

      GISS temperature record, 393–95

      Giuliani, Giampaolo, 143, 144–45, 146, 476

      Gladwell, Malcolm, 53

      global cooling, 399–400

      global financial crisis, 11, 16, 20, 30–36, 39–43, 118–19, 329

      failure to predict, 181, 327

      global population, growth of, 212

      global warming, 13

      causality and, 372–73

      Climategate and, 408

      contrarianism and, 380

      Copenhagen conference on, 378–80

      IPCC report on, see International Panel on Climate Change (IPCC)

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

      self-interest and, 380

      skepticism of, 377, 380, 383, 384–85

      use of term, 376, 377n

      Goldman Sachs, 24n, 184–85, 199, 364

      gonorrhea, 222

      Goodhart’s law, 188

      Google, 264, 290–92

      creative culture at, 291

      Google searches, 200, 290–91

      Gorbachev, Mikhail, 50, 51, 52, 160

      Gore, Al, 11, 67, 68, 381–82, 381, 385, 403, 514, 469

      government spending, 42, 186n

      GPS, 174–75, 219

      Graham, Benjamin, 364

      Grand Forks, N. Dak., 177–79

      Grant, Ulysses S., 122

      Great Depression, 48, 347, 349, 453, 464

      Great Moderation, 190, 191

      Great Plains, 177–78

      Great Recession, 11, 16, 19, 20, 87

      failure to predict, 179–81, 200–201

      leading indicators and, 187

      Great Sumatra Earthquake, 161, 171, 436, 478

      greed, vs. fear, 38

      Green, Kesten, 382, 388, 402

      Green, Matthew, 139–40

      greenhouse effect, 370–71, 377, 388, 392, 406, 408, 410, 506

      use of term, 376

      greenhouse gases, 379, 395

      see also specific gases

      Greenspan, Alan, 349

      green technology, 378

      Grefenstette, John, 226–27, 228

      Gregoire, Christine, 410

      Greinke, Zack, 101

      grizzly bears, 267

      gross domestic product, see GDP

      Grossman, Sanford, 363

      group forecasts, 66

      see also consensus

      groupthink, 384

      Guillain-Barré syndrome, 208

      Gulf of Mexico, 109, 387, 392

      Gulf War, 52

      Gutenberg, Beno, 151, 168

      Gutenberg, Johannes, 1–3, 4, 447

      Gutenberg-Richter law, 151–53, 168, 169, 171, 172, 174, 437–38

      Guzman, Joel, 89

      H1N1, 205–9, 210–12, 224–25, 228, 229

      death rate from, 211–12, 211, 215–16

      see also bird flu; swine flu

      H3N2, 216

      Haiti, 147n, 153, 155–56, 156, 224, 436

      HAL 9000, 264, 283, 290n

      Halley, Edmund, 447

      Halley’s Comet, 447

      Halliwell, Geri, 383n

      Hamilton, Josh, 496

      hand reading, in poker, 298

      Hansen, James, 370, 373,
    393, 395–96, 397, 402

      Hanson, Robin, 201–2

      Happer, William, 377

      Harper, Bryce, 93

      Harrison, Benjamin, 334

      Hatzius, Jan, 184–85, 186, 188, 194, 195–96, 203, 464

      Hawaii, 416, 419

      health-care bill, 379

      Heartland Institute, 382n, 409

      heat island effect, 506

      hedge funds, 356, 364, 463

      Hedgehog and the Fox, The (Berlin), 53

      hedgehogs, 53, 54, 54, 64, 443, 450, 452

      audacious predictions and, 66

      consensus views and, 66–67

      as not learning from mistakes, 57, 64

      as television pundits, 55

      too much information and, 57, 58–59, 68

      hedging, 202

      Hein, Piet, 232n

      Heisenberg, Werner, 113, 188, 472

      herd immunity, 223

      herding behavior, 356, 357–58, 367, 368, 384

      Hernandez, Felix, 80

      heuristics, 313

      availability, 424

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

      in investing, 367

      misapplications of, 389

      Occam’s razor, 389

      Heyward, Jason, 85–86

      Hibbs, Douglas, 67–68, 469

      Hippocratic oath, 230

      Hiroshima, Japan, 432

      Hispanics, 468

      Hitchens, Christopher, 251

      Hitchhikers Guide to the Galaxy, The (Adams), 26

      hitters, hitting, 88, 90, 91, 95–96

      HIV, 221–23, 222, 225, 228, 488

      Hoke, Jim, 123, 125

      Hokkaido, Japan, 160

      Holy Roman Empire, 5

      homeownership rates, 31

      home sales, total volume of, 34

      homosexuality, definition of, 487

      honesty, in forecasting, 129, 130

      Hong Kong, 210

      Horner, Bob, 82, 83

      hot summers, 395–96, 396

      Hough, Susan, 146–47, 148, 152, 154, 157, 172, 174

      House of Representatives, U.S., 61–62, 62, 69, 100n, 410–11, 468, 497

      Oversight Committee of, 19, 22, 42

      see also Congress, U.S.; Senate, U.S.

      housing bubble, 22–23, 24–26, 28–29, 30–34, 36, 38–39, 42, 43, 45, 68, 186

      credit bubble and, 196

      real-time identification of, 22–23, 33, 347, 369

      housing prices, 19, 43, 44, 186n, 187

      Hsu, Feng-hsiung, 268

      Huckabay, Gary, 78, 82, 85, 88, 89

      Hudson, Tim, 99

      Hugo, Hurricane, 138

      human judgment, see biases; heuristics

      Hume, David, 242, 332

      humility, 97–98

      Hungary, 52

      Hurricane Betsy, 140

      Hurricane Hugo, 138

      Hurricane Irene, 139

      Hurricane Katrina, 55, 108–10, 138–41, 388, 472, 473

      Hurricane Rita, 139

      hurricanes, 113, 471–72, 476

      forecasting of, 126–27, 127, 145–46, 387–88

      Hydrometeorological Prediction Center, 123

      hypothesis testing, 230, 243–49, 256–57, 266–67, 376, 452

      IBM, 9, 10, 12, 110, 266, 268, 269, 270, 281, 283–84

      ice age, 398

      ideas, evolution of, 1

      imagination, 266, 288, 289

      failures of, 288, 423

      improbabability, unfamiliarity vs., 419–20

      Inc., 187

      incentives, 184, 250, 313, 333, 356, 357, 501

      Inconvenient Truth, An, 385

      index funds, 344, 370

      India, 210n

      Indiana Pacers, 236n, 489

      indicators:

      lagging, 187–88

      leading, 186–88, 196–97

      Indonesia, 209

      Industrial Revolution, 2, 5–6, 112, 212

      infectious disease, 16, 204–31

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

      see also specific diseases

      inflation, 11, 186n, 191, 198, 202

      information, 1, 451

      analyzing, 232

      asymmetrical, 35

      collecting, 232

      exclusive, 98, 99–101

      explosion of, 3–4, 6, 7, 12, 13, 17, 45

      forecasting and, 5

      quality of, 2, 13, 17

      information age, 7, 45, 358

      information overload, 12

      information processing, 449

      information technology, 411

      revolution in, 1–4

      information theory, 265

      InfoSpace, 353, 360

      initial condition uncertainty, 390–92

      insider trading, 341–42

      intelligent extraterrestrial species, 488

      interest rates, 186n, 190, 202

      International Panel on Climate Change (IPCC), 382, 383–84, 393

      1990 predictions of, 373–76, 389, 393, 397–99, 397, 399, 401, 507

      “uncertainty” in, 389

      Internet, 13, 223, 250, 514

      poker on, 296–97, 310

      quality of information on, 3

      Intrade, 333, 334, 335, 336–37, 358, 367, 497

      invisible hand, 332

      Ioannidis, John P. A., 11, 249, 250, 253

      Iowa caucus, 60, 217, 252, 333, 334

      Iran, 152–53

      Iranian Revolution, 428

      Iraq, 420

      Ireland, 210

      Irene, Hurricane, 139

      Irish Confederate Wars, 4

      irrational exuberance, 346–52

      Irrational Exuberance (Shiller), 22, 347–48, 354

      irrationality, 356–57

      IRS, 481

      Israel, 210, 440–42

      Italy, 476

      Ivey, Phil, 308–9

      Jackson, Phil, 233

      James, Bill, 77, 81–82, 84, 89, 102–5, 338, 471

      Janabi, Rafid Ahmed Alwan al-, 443

      Japan, 144, 145n, 190, 379, 394, 423, 476

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

      real estate bubble in, 11, 31–32, 32, 45, 52

      2011 earthquake in, 154, 155, 168–71, 172

      Jesuits, 112

      Jeter, Derek, 446

      job growth, GDP growth vs., 189

      Johnson, Magic, 237

      Jones, Chipper, 85

      Jordan, Tom, 174

      Journal of Geophysics Research, 395

      Journal of Zoology, 148

      JSVAX (Janus Contrarian T), 339–40

      judgment, see biases; heuristics

      Jupiter, 242–43

      Justice Department, U.S., 319, 320

      Kahneman, Daniel, 64, 366, 424

      kamikaze, meaning of word, 145n

      kamikaze pilots, 423

      Kanagawa Institute of Technology, 476

      Kansas City, Mo., 136–37

      Kansas City Athletics, 94

      Kapanke, Dan, 70–72

      Karpov, Anatoly, 280, 281

      Kashyap, Anil, 26, 464

      Kasparov, Garry, 266, 267–85, 443, 493–94

      Deep Blue’s final games against, 282–83

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

      Deep Blue’s second game against, 279–82, 280

      moves ahead seen by, 279

      Katrina, Hurricane, 55, 108–10, 138–41, 388, 472, 473

      Keilis-Borok, Vladimir, 159–60, 161, 167, 477

      Kelling, George L., 439

      Kemp, Matt, 89

      Kennedy, John F., 50

      Kenya, 422

      Kerry, John, 55

      Keynes, John Maynard, 65, 360

      Killebrew, Harmon, 94

      Kind, Ron, 70

      Kinsler, Ian, 89

      Knight, Frank H., 29

      knowledge, accumulation of, 2–3

      Kokko, Hanna, 219

      Kotchman, Casey, 76

      Koufax, Sandy, 94

    &nb
    sp; KPMG, 78, 84, 296

      Kroll, Jules, 23–24

      Kroll Bond Ratings, 23–24

      Kroll Inc., 23

      Krugman, Paul, 7, 22, 40–41, 184

      Kuwait City, 374

      lagging indicators, 187–88

      La Gloria, Mexico, 216

      Lajoie, Nap, 102

      Laliberté, Guy, 318

      Lamont, Owen, 361

      Lancet, The, 206

      language, 230

      Laplace, Pierre-Simon, 112–14, 242–43, 248–49, 251, 255

      Laplace’s Demon, 112–14, 127

      L’Aquila, Italy, 142–44, 148, 154–55, 157, 173, 476

      Larsen, Bent, 268

      Las Vegas, Nev., 10

      housing in, 19

      Laurila, David, 76–77

      Law, Keith, 75

      Leading Economic Index, 187, 480

      leading indicators, 186–88, 196–97

      learning ability, 98

      Lehman Brothers, 19, 34–35, 36, 37–38, 42, 48

      Lenin, Vladimir, 428

      Lester, Jon, 89

      leverage, 29, 33–37, 43, 196

      “Leveraged Losses: Why Mortgage Defaults Matter” (Hatzius), 184

      Levi, Michael, 435–36

      Lewis, David, 204–5, 206

      Lewis, Michael, 77, 93–94, 105, 355

      liberalism, 509

      LifeMinders, Inc., 353

      lightning, 125–26

      Lima, 158, 174

      limit hold ’em, 311, 322, 322, 324n

      Lin, Jeremy, 119

      linear regression, 498

      linearity, see nonlinear systems

      Lipsitch, Marc, 223, 229

      Lisbon earthquake, 145

      literature, progress of, 4

      Livingston Survey, 183

      Lockerbie bombing, 427

      Loft, Richard, 111, 112, 114–15, 118

      logarithmic scales, 142n, 144, 146, 151, 263, 429–30, 430

      logistic regression analysis, 489

      Loma Prieta earthquake, 160

      London, 222

      Long Boom, 189–90

      Long Leading Index, U.S., 196

      Lorenz, Edward, 118, 119, 129, 472

      Los Angeles, Calif., 368, 432, 476

      Los Angeles Dodgers, 94, 98

      Los Angeles Lakers, 233–37, 243, 246, 258, 489

      Los Angeles Times, 160, 234

      lottery tickets, 186, 324

      Louisiana, 109

      “Love Will Tear Us Apart,” 283

      Lowess regression, 478

      Lucas, Robert, 188, 200

      luck, 79

      skill vs., 321–23, 322, 338–39

      Lugar, Richard, 434

      lung cancer, 254–55, 258

      Luther, Martin, 4

      Lynn, Fred, 79

      Macal, Chip, 229

      McCain, John, 48–49, 59, 358, 468

      McDaniel, Raymond, 25

      McGovern, George, 67

      McLaughlin, John, 47

      McLaughlin Group, The, 47–50, 49, 56, 103, 129, 314

      McNess, Stephen K., 198

      McVeigh, Timothy, 425

      malaria, 214

      Malkiel, Burton, 340n

      mammogram, 245–46, 246

      Mandelbrot, Benoit, 284

      Manic Momentum strategy, 344–45, 345, 368

      Mann, Michael, 408–9

      manufacturing sector, 189

      Maradona, Diego, 281

     


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