The Signal and the Noise

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The Signal and the Noise Page 62

by Nate Silver


  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
<
br />   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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