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    The Signal and the Noise

    Page 62
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      Richardson, Lewis Fry, 115–16, 129, 472

      Richter, Charles, 142n, 146, 151, 168

      Richter scale, 142n

      risk, 502

      CDOs and, 29–30

      definition of, 29

      forecasting economy and, 203

      uncertainty vs., 26, 29, 36

      risk aversion, 27

      Rita, Hurricane, 139

      river, in poker, 306, 307, 494

      Rivera, Mariano, 101

      Rivera, Ruben, 92

      “Road to Wisdom, The” (Hein), 232n

      rock-paper-scissors, 345n, 364

      Rogers, Mark, 89

      Rogoff, Kenneth, 39–40, 43

      Romania, 52

      Romer, Christina, 40, 41

      Romney, Mitt, 333, 474

      Rood, Richard, 379–80, 383, 410

      Roosevelt, Franklin Delano, 412

      root-mean squared error (RMSE), 497

      Rose, Bruce, 128, 129, 133, 135

      Rothschild, David, 334, 336

      roulette, 324

      Rounders, 317

      Royal McBee LGP-30, 119

      Royal Society, 241

      rubella, 224

      Rumsfeld, Donald, 415–16, 419, 420, 424, 428, 436–37, 441, 510

      Rundle, John, 174–75

      Russia, 379, 416, 434

      Ryan, Brendan, 321

      Rybka, 493–94

      Sabermetrics, 77

      sabotage, 416, 418, 423

      Sachs, Jeffrey, 189

      sacrifices, in chess, 273–74

      St. Louis Cardinals, 87

      Salk, Jonas, 206

      sample sizes, 44, 338–39

      San Andreas Fault, 158–59

      Sandberg, Ryne, 102

      Sanders, John, 94–98, 101, 103, 105

      S&P 500, 24–25, 197, 324, 339, 347, 365–66, 462, 499–500, 503

      CFOs as overestimating ability to forecast, 359

      5–year average return on, 351

      1–year return on, 350

      P/E ratio of, 349, 350, 351

      10–year average return on, 351

      20–year return on, 350

      San Francisco, Calif., 149, 160, 219n, 221–23, 222, 225, 476

      San Simeon, Calif., 160

      Santorum, Rick, 217, 333

      SARS, 229

      satellite temperature record, 394

      Saturn, 242–43

      savings glut, 31

      scenario uncertainty, 392–93

      Schelling, Thomas, 419, 420, 510

      Schlumberger, William, 262

      Schmalkaldic War, 4

      Schmidt, Gavin, 390–91, 392, 399, 405, 409

      Schneier, Bruce, 439, 443

      Schoolhouse Blizzard, 122–23

      Schwarzenegger, Arnold, 160, 290

      science, 10

      as deliberative process, 284

      Industrial Revolution and, 6

      progress of, 1, 4, 7, 112, 243, 406, 410–11, 447

      Science, 395

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

      scientific method, 9, 230, 256–57, 257

      Scottish Civil War, 4

      scouts, 76, 77

      biases of, 91–93, 102

      budget for, 99

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

      statheads vs., 86, 88, 128

      search trees, 284, 285

      sea-rise levels, 385

      Seattle, Wash., 150

      Securities and Exchange Commission, 24, 353

      security theater, 439

      self-awareness, 328

      self-canceling predictions, 219–20, 228

      self-confidence, 97

      see also overconfidence

      self-fulfilling predictions, 216–19, 353

      semiconductor companies, 186

      semistrong efficient-market hypothesis, 341

      Senate, U.S., 62–63, 63, 69

      Energy Committee of, 370

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

      September 11, 2001, terrorist attacks, 247–48, 247, 248, 412, 417, 419, 421, 425–28, 429, 431–32, 436, 438, 444, 449, 510–11

      as ambitious, 422–23

      as unpredicted, 10–11

      service sector, 189

      Shakespeare, William, 4–5, 418, 460

      Shannon, Claude, 265–66

      Sharma, Deven, 22, 25

      Shaw, Brian, 237

      Shiller, Robert, 22, 30, 31, 32, 347–48, 349, 353, 354, 369, 500

      shopping malls, 228, 440

      short-selling, 355, 360, 361, 501

      shortstops, 446, 447

      signals, 175, 186

      in climatology, 371–73

      competing, 416–18, 417

      noise 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 predictive models, 388–89

      in stock market, 368

      of terrorism, 438, 442–45

      similarity scores, 84–85

      sine wave, 416–17

      Singapore, 210

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

      skill, 79, 312

      luck vs., 321–23, 322, 338–39

      Skynet, 290

      Slate, 353

      slowplaying, 304

      smallpox, 214, 229, 436, 485

      Smith, Adam, 332

      Smith, Ozzie, 446

      snow, 391, 399, 473

      Snowpocalypse, 474

      Soaring Eagle Indian Casino, 296–97

      Solar Cycle 24, 392, 393

      Solow, Robert, 7

      Sornette, Didier, 368, 369

      Soros, George, 356, 370

      South Korea, 372

      Soviet Union, 467

      disintegration of, 50–51, 66

      economy of, 51–52

      Spain, 210

      Spanish flu, 205, 211, 214, 224, 229

      Spanish Inquisition, 4

      sports, 63

      see also baseball, basketball

      Stairs, Matt, 92

      Standard & Poor’s (S&P), 1, 19, 20–21, 22, 24, 25–26, 41, 43, 45, 463

      see also S&P 500

      standard deviation, 322

      staph infections, 227

      statheads, 87–88

      biases of, 91–93

      scouts vs., 86, 88, 128

      statistical significance test, 251, 253, 256, 372n

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

      Stenson, Dernell, 85

      Stephen, Zackary “ZakS,” 292–93

      stereotypes, 298–99

      Stiglitz, Joseph, 363

      stimulus package, 14, 40, 184, 194, 379, 398, 466–67

      stock market, 19, 185–86, 253, 256, 329–70

      Bayesian reasoning and, 259–60

      competition in, 313, 352, 364

      correlations in price movements in, 358

      crashes in, 354–56, 354

      dynamic group behavior in, 335

      fast track in, 368

      forecasting service for, 337–38

      future returns of, 330–31, 332–33

      lack of predictability in, 337–38, 342, 343–46, 359, 364–66

      long run vs. short run in, 404

      as 90 percent rational, 367

      noise in, 362–64

      overconfidence in, 359–60, 367

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

      public sentiment on, 364–65, 365

      signal track in, 368

      technical analysis of, 339–40, 341

      velocity and volume of trading on, 329–30, 330, 336

      see also efficient-market hypothesis

      stocks, see stock market

      StormPulse.com, 471–72

      strategy, tactics vs., 273–76, 278, 284

      stress, effect on decision making, 97–98, 449

      strikeouts, 79–80, 91

      strike zone, 102

      strong efficient-market hypothesis, 341–42

      structural uncertain
    ty, 393

      structure-finance ratings, 24

      subduction zone, 143–44

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

      subprime mortgages, 27, 33, 464

      suburbs, 31

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

      suicide attacks, 423–24, 424

      see also September 11, 2001, terrorist attacks

      suited connectors, 301, 306

      sulfur, 392, 399–400, 400, 401

      Sulmona, Italy, 143, 145

      Sumatra, Indonesia, 161, 171, 172

      Summers, Larry, 37–38, 39, 40, 41, 466

      sunspots, 392, 401

      Super Bowl, 185, 371

      superstition, 5

      Super Tuesday, 336

      surveillance, in credit ratings, 23–24

      Survey of Professional Forecasters, 33, 179–83, 191, 197–98, 199, 200–201, 466–67, 480, 481, 482

      Suzuki, Ichiro, 101

      swine flu, 208, 209–12, 218–19, 224–25, 228–29

      Sydney, Australia, 222

      syphilis, 222, 222, 225

      tactics, strategy vs., 273–76, 278, 284

      Taleb, Nassim Nicholas, 368n

      tape, in credit ratings, 24

      taxes, 481

      Taylor, Brien, 92

      technical analysis, 339–40

      technological progress, 112, 243, 292–93, 410–11

      technology, 1, 313

      tectonic plates, 16, 144, 148, 173

      Tehran, 147, 151–53

      Tejada, Miguel, 99

      telescope, 243

      television pundits, 11, 47–50, 49, 73, 314, 448

      hedgehogs as, 55

      temperature records, 393–95, 394, 397–98, 403–4, 404, 405, 506

      Tenet, George, 422, 424–25, 510

      tennis, 496

      Terminator series, 290n

      terrorism, 511–12

      definition of, 428

      depth vs. breadth problem in prevention of, 273

      frequency vs. death toll of, 429–30, 430, 431, 432–33, 437, 439, 441, 442, 442

      in Israel, 440–42

      mathematics of, 425–32

      see also September 11, 2001, terrorist attacks

      Tetlock, Philip E., 11, 51, 52–53, 56–57, 64, 67, 100, 157, 183, 443, 450, 452, 467

      Texas, 464

      Texas hold ’em, 298–302, 464

      limit, 311, 322, 322, 324n

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

      Texas Rangers, 89

      Thailand, 209

      Thaler, Richard, 361–62

      theory, necessity of, 9, 197, 372-73

      Thirty Years’ War, 4

      This Time Is Different: Eight Centuries of Financial Folly (Reinhart and Rogoff), 39–40, 43

      Thomas Aquinas, Saint, 112

      Thomas J. Watson Center, 283–84

      3Com, 362

      tilt, in poker, 309, 310, 324–26

      Times (London), 212

      Times Square, 433, 438

      toads, 148, 253, 255, 476

      Toffler, Alvin, 12, 13

      , Japan, 155, 156, 169, 170–71, 172

      Tolstoy, Leo, 53

      Too Big to Fail (Sorkin), 37

      Tornado Alley, 138

      tornadoes, 145, 195

      Toronto Blue Jays, 76, 87

      Torres y Quevedo, Leonardo, 265

      Tragedy of Julius Caesar, The (Shakespeare), 4–5, 9, 418, 460

      transaction costs, 342–43, 344–45, 345

      Treasury bonds, U.S., 20

      trial and error, 289, 290–92

      Tropical Depression Twelve, 108

      Truman, Harry, 56

      Trump, Donald, 55

      Tulowitzki, Troy, 89

      turn, in poker, 299, 306

      Tuvalu, 378

      Tversky, Amos, 64

      24, 435

      24/7 Media, 353

      Two Plus Two, 308

      2001: A Space Odyssey, 264

      Tyndall, John, 375

      Ulan Bator, Mongolia, 374

      uncertainty, 15, 64, 444, 448, 450

      of CDOs, 29–30

      in chess, 264

      in climate forecasts, 382, 389–93, 390, 406–8

      communication of, 177–79

      definition of, 29

      as enemy of forecasting, 177

      in frequentism, 253

      metaphysical vs. epistemological, 249

      in poker, 297

      quantification of, 73

      risk vs., 26, 29, 36

      scenario, 392–93

      structural, 393

      uncertainty principle, 113–14, 118, 188, 472

      underfitting, 163

      unemployment, 14, 19, 39–41, 176–77, 184, 187, 198, 200, 202, 482

      unfamiliar, improbable vs., 419–20

      United Kingdom, 210, 394, 416

      United Nations, 213, 410

      United States:

      characteristics of, 10

      flu in, 210, 211, 215–16

      founding of, 2

      houses as poor investments in, 30

      late-twentieth century recessions in, 7

      as results-oriented society, 326–27

      United States Geological Survey (USGS), 146, 148–49, 152–53, 158, 159, 160, 476

      unknown unknowns, 11, 26, 420–21, 424, 443, 444, 511

      Unlawful Internet Gambling Enforcement Act (UIGEA), 319–20

      updating predictions, see Bayesian reasoning

      Urbahn, Keith, 415, 424, 509

      usefulness, calculation of in forecasting, 290–91

      Utah Jazz, 238

      vaccines, 206–8, 224, 227–28, 229, 230, 484

      values voters, 319

      Van Poppel, Todd, 92

      Varian, Hal, 200, 290

      variance, 326

      Venus, 374

      Veracruz, Mexico, 210, 216

      Vidro, Jose, 85

      Vietnam, 209

      vigorish, 256

      vision, 123, 124

      Vladimir, 78, 83

      volcanoes, 146, 392, 393

      von Neumann, John, 116, 167

      Voulgaris, Haralabos “Bob,” 232–40, 238, 246, 256–58, 489

      walks, in baseball, 79–80, 471

      Wall Street Journal, 33, 377, 466–67

      War of 1812, 419

      War of the Holy League, 4

      wars, cause of, 259

      Washington, D.C., 395–96, 432

      Wasserman, David, 70, 71–72

      water vapor, 374, 375–76

      Watts Up With That, 409

      weak efficient-market hypothesis, 341

      wealth effect, 34

      weapons of mass destruction, 420, 432, 442, 443

      see also nuclear weapons

      Weather Channel, 128–30, 131, 132, 133, 135–36, 136

      Weather.com, 128

      weather forecasting, 10, 16, 21–22, 108–12, 115, 126, 162, 473

      algorithms for, 128–29

      by climatology, 131, 153

      competition in, 127–28, 131–37, 132

      by computer, 116–18, 123–25, 289

      death by lightning and, 125–26

      eight to ten days in advance, 132

      eyesight in, 123, 124

      failures of, 21–22, 114–18

      feedback on, 134–35, 387

      for-profit, 128–29, 131–32, 133–34, 135–36

      human element in, 123–25

      of hurricanes, 126–27, 127

      matrices in, 114–18

      models for, 114–18, 119, 120, 121, 122, 123–25, 225, 226

      probability and, 195

      recent improvements in, 125–26, 225, 386

      as sensitive to initial conditions, 119, 121

      as theoretically solvable, 267

      three definitions of quality of, 129–30

      uncertain initial conditions in, 195

      Weather.gov, 128

      Weather Service, 473

      Weber, Max, 5

      Weekly Leading Index, 196


      wet bias, 134–38, 474

      WFG, 88

      wheat, 466

      White House economic projection, 40–42, 41

      “Why Most Published Research Findings Are False” (Ioannidis), 11, 249

      Wicked Bible, 3, 13

      Wilson, James Q., 439

      wine, 466

      win-loss record, 77, 79–80, 103, 106

      winner’s curse, 359–60

      wins above replacement player (WARP), 90

      Winter Meetings, 86

      Wired, 9

      Wirth, Tim, 370n

      wisdom-of-crowds principle, 335, 358

      see also consensus

      Wohlstetter, Roberta, 415, 416, 418, 419

      Wolfers, Justin, 333–34, 335–36, 497

      Wood, Brandon, 89

      work ethic, 5, 97

      World Health Organization (WHO), 206, 211

      World Series of Poker, 294–95, 296

      World Trade Center, 422

      see also September 11, 2001, terrorist attacks

      World War I, 205, 453

      World War II, 31, 412–13, 414, 432, 464, 470

      World Weather Building, 122–25, 473

      World Wide Web, 448, 514

      Wunderground.com, 131

      Yahoo!, 353

      Yemen, 422, 423

      Youkilis, Kevin, 76

      Zito, Barry, 99

      Zuckerman, Mort, 467

      * This property is true of National Weather Service forecasts—but not of your local TV meteorologist. Their incentive may be to exaggerate the probability of rain for the sake of better ratings. More about this in chapter 4.

      * Tape is also a term of art in the ratings industry, referring to new and fresh data on individual mortgages.

      * In 2005, the average Moody’s employee made $185,000, compared with the $520,000 received by the average Goldman Sachs employee that same year.

      * These types of risks might fall into the category “unknown knowns.”

      * And probably also a stupid bet if you’ve ever seen the Redskins play.

      * Most major cable providers keep Fox News and MSNBC at least a couple of channels apart in their lineups.

      * Of the series of revolutions in the Eastern bloc in 1989, only the one in Romania entailed substantial bloodshed.

      * FiveThirtyEight’s name refers to the number of votes in the Electoral College (538).

      * The classic form of media bias is “rooting for the story”—hoping for a more dramatic outcome that might increase newspaper sales.

      * Not surprisingly, no Democrats told me this after the 2010 campaign—when our models consistently showed them losing badly.

      * The Red Sox’s truly epic collapse—when they lost sixteen of their last twenty-one games and missed the playoffs after seeming almost certain to qualify for them—would come two years later in 2011.

      * I traded Pedroia away in one of my fantasy leagues.

      * James coined the term sabermetrics to describe the systematic study of baseball, especially through statistics. The term is derived from the acronym SABR, for Society of American Baseball Research, which was instrumental in the popularization of James’s work.

     


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