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

    The Perfect Bet

    Page 28
    Prev Next


      habitual, 202

      in life, 216

      line between skill and, 204

      measuring, 205, 217

      notion of, exploring, by studying gambling, 216

      in poker, 168, 186, 198, 200, 201, 215

      probability and, 98

      questioning, 28

      rarity of profits coming from, 218

      in roulette, 202

      runs of, 5

      skill versus, debate over, 198–200, 201–202, 203

      in sports, 84, 85, 204–205

      Ma, Will, 214–215

      magic formula, 105

      magic trick, 217–218

      Maisel, Herbert, 37

      Major League Baseball playoffs, 209

      major sports, problem with focusing on, 107

      Maldini, Paolo, 103

      Management Science (journal), 50

      Mandelbrot, Benoit, 162

      man-machine competitions

      in checkers, 156, 159, 160

      in chess, 166, 171, 176

      in poker, 185–187

      in TV game shows, 165–166, 171

      Man-Machine World Championship, 156

      maps

      as abstractions, 210, 211

      logistic, 125–128

      Markov, Andrei, 62

      Markov chain, 62, 64

      Markov chain Monte Carlo technique, 64

      Markov property, 62, 63

      Martinez, Roberto, 209

      Massachusetts State Lottery, 29–32

      May, Robert, 13, 125, 127, 128, 129, 131

      Mazrooei, Parisa, 182

      Mazur, Matt, 192–196

      McDermott, James, 37

      McHale, Ian, 89

      mediocrity, regression to, 205

      Mega-Millions, 29

      memorizing, 179, 180

      memory and competitiveness, 161–162

      memory capacity, 179–181

      Meston, A. J., 47–48

      Metropolis, Nicholas, 61, 63–64, 168–169, 180

      Mezrich, Ben, 214

      Michigan Lottery, 30

      Midas algorithm, 87, 88, 89

      Milgram, Stanley, 13

      Miller, George, 179

      Millman, Chad, 102

      mind-set, 209

      minimax approach, 145, 147–148, 155

      minor sports, benefit of focusing on, 107

      MIT gambling course, 213–214

      MIT Sloan Sports Analytics Conference, 85, 105, 107

      mixed strategies, 142–143, 147

      Monte Carlo fallacy, 6, 200

      Monte Carlo method, 61–62, 63, 64, 83, 178–179, 217

      Morgenstern, Oskar, 139, 150, 181–182

      mortgage loan crisis, 96–97

      multiple regression, 49

      Munchkin, Richard, 72, 214

      Nadal, Rafael, 110

      NASCAR, 107

      Nash, John, 137, 148–149, 158

      Nash equilibrium, 137–138, 148–149, 151, 154, 160, 161, 181, 183, 184, 185, 187

      National Academy of Sciences, 133

      Nature (journal), 48, 49, 51

      NBA, 85

      near-equilibrium strategies, 152–153, 153–154

      neural networks, 173–174

      new data, testing strategies against, 53, 54

      New England Patriots, 88

      new games, advantages in, 72–73

      New York Stock Exchange, 117

      New York Times (newspaper), 101, 172, 177, 178, 180

      New Yorker (magazine), 143

      newsfeeds, 120, 122, 133–134

      NFL, 103, 209

      NHL, 85, 205

      no-limit poker, 189, 195

      “nonlinear” trajectory, 12

      Oakland A’s, 209

      Occam’s razor, 53

      Oller, Joseph, 44

      online betting, 90

      online blackjack, 71–73

      online gambling, advantages of, 72–73, 90, 107, 132

      online poker sites, 192–193, 194, 195, 198, 200

      online security, 195

      Onside Analysis, 78, 105

      opponent modeling, 163, 181, 184, 187

      optimal strategies

      in bankroll management, 65–67

      in blackjack, 36–37, 40, 72

      in checkers, 158

      in chess, 161, 202

      in get-so-many-in-a row-style games, 158–159

      in poker, 143–144, 145, 147, 149, 151, 152, 153, 160, 161, 177, 181, 184, 188, 208

      in rock-paper-scissors, 143, 178, 180

      in soccer, 146, 147

      and stock/financial markets, 161

      See also game theory; perfect strategies

      “Optimum Strategy in Blackjack, The” (Baldwin, Cantey, Maisel, and McDermott), 37

      order-routing algorithms, 115

      Osipau, Andrei, 72

      overestimating, 98

      overlays bias, 56

      oversimplification, 212

      Packard, Norman, 14, 20, 120

      Palacios-Heurta, Ignacio, 146, 147

      panic, 99, 133

      pari-mutuel betting system, 43–45, 66, 114

      Pascal, Blaise, 10

      Pasteur, Louis, 202

      patience and ingenuity, 218

      PDO statistic, 205

      Pearson, Karl, 4–7, 15, 24, 46–47, 48–49, 54, 61, 217

      Pentagon, 92

      perfect bet, story of the, 218

      perfect strategies, 37, 53, 146, 149, 154, 159, 160, 168, 187

      See also optimal strategies

      performance measurement, 85, 102–105, 208–209

      physical bias, 7, 8, 21

      Picasso, Pablo, 209–210

      Pinnacle Sports, 91–92, 93

      Poincare, Henri, 2–3, 8–9, 9–10, 11, 12, 21, 22, 40, 41, 46, 62, 63, 127, 217

      Poisson, Siméon, 75

      Poisson process, 75–76, 78

      poker

      abstractions and, 212

      analysis of the endgame in, 143

      applying game theory to, 141, 148, 181, 183

      bankroll management in, 144–145

      basic options in, 138–139, 142

      behaviors in, 191–192

      coalitions in, 181–183

      combined approach to, 208

      heads-up, 172, 186, 188, 195

      incomplete information in, 168

      in Internet chat rooms, 142

      as less vulnerable to brute force methods, 171

      limited-stakes, 172, 177, 185, 187, 189

      luck versus skill in, 198–200, 201, 215

      more options in, complexity of, 142

      near-equilibrium strategy for, 152–153, 153–154

      no-limit, 189, 195

      optimal strategy in, 143–144, 145, 147, 149, 151, 152, 153, 160, 161, 177, 181, 184, 188, 208

      potential for errors in, 160

      prediction in, 163

      randomness in, 152, 156

      robot players in, 135–136, 149–150, 151, 153, 154, 161, 163, 167–168, 172, 173, 175, 176–177, 182, 184, 185–189, 190, 192–196, 212, 217

      scientific idea inspired by, 217

      Texas hold’em, 140–141, 151–152, 172, 177, 185–186, 187–188

      university course studying, 214–215

      well-known research into, 169

      World Series, 140–141

      as a zero-sum game, 145, 181

      poker boom, 198

      poker face, optimal, 192

      poker industry, 198

      poker websites. See online poker sites

      Polaris poker bot, 185–186

      Polaris 2.0, 186–187

      policy analysis market, 92

      Poots, Brendan, 97, 98, 99, 100, 104

      popularity, randomness of, 203–204

      populations, 125–129

      Power Peg program, 118

      Powerball, 29

      predator-prey relationships, 129–130

      Prediction Company, 120, 131

      predictions

      baseball and, 87, 88

      basketball and, 82, 85–86

      blackjack and, 40,
    42

      bookmakers and, 91–92, 93

      checkers and, 156, 157

      comparing, against new data, 53, 54

      computerized, 2, 13, 14, 15–20, 22, 46, 51, 61, 68, 80–82, 87, 88, 89–90, 97, 105, 156, 157, 217

      degree of ignorance and, 3, 8

      external disruptions as a factor in, 19–20

      focus in making, 205–206

      football and, 79, 82, 87, 88

      golf and, 84–85

      horse racing and, 46, 49–50, 51–54, 55–58, 64, 68, 69, 74, 206, 207, 216, 218

      hydrogen bomb building and, 59, 61

      opponent behavior and the need for, 163

      poker and, 163

      problem with explaining, 206–207

      roulette and, 2, 3–4, 5–8, 10–11, 12–13, 14, 15–20, 21–22, 124, 127, 162, 210–211, 218

      soccer and, 73–79, 82, 86, 90, 97–98, 98–99, 218

      weather and, 9, 13, 53

      of worst-case scenarios, 74

      Preis, Tobias, 96

      Premium Bonds, 204

      Priomha Capital, 97, 99, 100, 101

      prisoner’s dilemma, 137–138, 160

      probability

      basic, successful strategies go beyond, 208

      in blackjack, 36

      of default on a home loan, 96

      different conclusions about, 212

      of ecosystem survival, 128

      in horse racing, 45, 46, 51, 56–57, 58, 66, 206, 207

      in lotteries, 32, 98

      in poker, 138, 152, 171, 208

      in rock-paper-scissors, 143

      in roulette, 6, 17–18, 98

      in soccer, 75, 146, 147, 209

      in solitaire, 60

      weighing against, 216

      probability theory, 73, 132, 216–217

      professional sports bettors, 102

      proof by contradiction, 158–159

      pseudorandom numbers, 61

      psychological bias, 6, 98

      psychology, 171, 177, 189, 208

      pure strategies, 142, 143, 147, 152

      qualitative information, 105

      quality measurement, 50–51, 74

      quantitative information, 105

      raising, 143

      Random Strategies Investments, LLC, 30

      randomness

      as an abstraction, 210–211, 212

      in basketball, 85

      in blackjack, 38, 40, 41, 42, 71, 212

      in chess, 168, 176, 202

      in coin tosses, 199

      collecting data on, 4–8

      controlled, 25–26, 28

      in ecosystems, 128, 129

      generating, in game moves, 179

      in golf, 84

      and the infinite monkey theorem, 156–157

      logistic map and, 126

      Monte Carlo method and, 61

      nonrandom patterns in, 178–179

      in poker, 152, 156

      of popularity, 203–204

      in rock-paper-scissors, 143, 178, 181

      in roulette, 2, 3–4, 5–8, 9, 10–11, 12–13, 15–20, 21–22, 38, 162, 178–179, 202, 212

      and uniform distribution, 41

      rationality, 123–124, 160

      reality, model of, 211, 212

      rebates, 69

      recruitment teams, 73

      regression analysis, 47–49, 50, 52, 79, 106, 206

      regression to mediocrity, 47, 48–49, 205

      regression to the mean, 106

      regret minimization, 152–154, 187–188

      regulation, 91, 101, 133

      Reinhart, Vincent, 133

      Retail Liquidity Program, 117

      risk, 32, 36, 65, 66, 78, 95, 96, 99, 102, 120, 133, 144–145, 153, 156, 171, 184, 216

      Ritz Club, 1–2, 20, 21

      Robinson, Michael, 97–98

      robots (bots)

      and the ability to learn, 151, 161, 163, 173, 174, 176, 177, 187, 188, 190, 217

      in backgammon, 172–173

      betting exchanges and, 112–113, 116–117

      as bookmakers, 130

      in checkers, 155–156, 157–158, 159–160, 167, 168, 190

      in chess, 166, 167, 168, 171, 176, 189, 190

      cognitive, other useful applications for, 166, 188

      different types of, 129–130

      faulty, 116–117, 118, 119, 120

      in horse racing, 115–117

      hybrid, 184

      in Jeopardy! 165–166, 167, 171, 190

      limitations of, 190

      memory and, 180–181

      newsfeeds and, 122, 133–134

      in poker, 135–136, 149–150, 151, 153, 154, 161, 163, 167–168, 172, 173, 175, 176–177, 182, 184, 185–189, 190, 192–196, 212, 217

      rock-paper-scissors and, 178, 180–181

      stock/financial markets and, 113, 115, 117–120, 122, 123–124, 129–130, 131–132

      teaching themselves, 151, 176–177, 190

      training, 155, 168, 174, 175, 176, 188

      vulnerabilities in using, 118–119

      rock-paper-scissors, 142–143, 178, 180–181

      roll downs, 29–32, 33

      rollovers, 29, 33–34, 204

      roulette, 1, 197

      bias in, 6, 7

      control over events in, 199

      evolution of successful strategies in, 21–22, 208

      factors restricting scientific betting in, 22

      fading of data availability limitations in, 73

      gambling law and, 200

      and lotteries, biased view of, 98

      and luck, 202

      and the Monte Carlo fallacy, 6, 200

      randomness and predictions in, 2, 3–4, 5–8, 9, 10–11, 12–13, 14, 15–20, 21–22, 38, 124, 127, 162, 178–179, 202, 210–211, 212, 218

      scientific idea inspired by, 217

      spin stages, 16

      university courses studying, 215

      Roulston, Mark, 204

      Rubik’s Cube, 63

      Rubner, Oliver, 78

      Rugby World Cup, 84

      rule-based approaches, 149, 151, 153, 176

      Rutter, Brad, 165–166

      S&P 500, 121

      sabermetrics, 209

      Salganik, Matthew, 203

      San Francisco Giants, 88

      Sandholm, Tuomas, 167, 184, 189, 212

      scandals, 90

      Schaeffer, Jonathan, 154, 155, 156, 158, 160, 167, 168, 177, 190

      Science (journal), 160, 188

      scouting, 105

      scratchcards, 26–28

      screen scraping, 86

      “Searching for Positive Returns at the Track” (Bolton and Chapman), 46

      Securities and Exchange Commission (SEC), 130

      security

      casino, 2, 20, 21, 22, 40, 73, 197, 213

      online, 195

      Selbee, Gerald, 30, 33

      “sensitive dependence on initial conditions,” 9, 10

      Shannon, Claude, 11–12, 12–13, 14, 15

      sharps, 102, 107

      Shaw, Robert, 14, 22

      short stacking strategy, 193

      shuffling cards. See card shuffling

      signup bonuses, 71, 72

      Silver, Adam, 101

      simplicity, 83, 123, 128, 131, 134, 154, 155, 211, 217–218

      simplifications, making, 138–139, 142, 151–152, 172, 210, 211

      “Sit ’n Go” games, 195

      six degrees of separation, 13

      skill, 176, 198–200, 201–202, 203, 204, 205, 206, 215, 217

      slippage, 114–115

      slot machines, 172, 200

      Slumbot, 167

      Small, Michael, 15–18, 22

      small-scale bettors, 102

      SMARS software, 117–118

      smart gamblers, gleaning information from, 91, 92

      Smartodds, 77–78, 84–85, 106

      sniffing algorithms, 115

      SoarBot, 149–150, 151

      soccer

      ability measurement in, 76–77, 209

      arbitrage involved in, 111

      cliché in, 98

    &nbs
    p; measuring luck and skill in, 204, 205

      penalty shootout in, as zero-sum, 145–147

      Pinnacle Sports and, 93

      prediction methods in, 73–79, 82, 86, 90, 97–98, 98–99, 103, 104, 106–107, 218

      robotic betting in, 113

      scandals in, 90

      sports betting funds and, 99, 100

      sports prediction firms and, 78

      social behavior, 203

      social network theory, 13

      Society for American Baseball Research (SABR), 80

      software programs, automated. See robots (bots)

      solitaire, 60

      sports

      arbitrage involved in, 110–111, 112, 113

      bans in, 90

      complexity of, 84

      control over events in, 199

      and fantasy sports leagues, 100–101

      hedge funds focused on, 96, 97, 99–100, 101

      importance of statistics in, 79, 80, 209

      investor betting in, 96, 97–100, 101

      legalization of betting on, 100–102

      lesser-known, focusing attention on, 107

      outlier in, in terms of forecasting, 84–85

      performance measurement in, 85, 102–105, 208–209

      prediction methods in, 80–82, 87–90, 97, 102–105, 106–107, 217

      and slippage, 114–115

      See also specific type of sport

      sports betting. See betting exchanges; betting syndicates; bookmakers

      Sports Illustrated jinx, 105–106

      sports prediction firms, 77–78, 78–79, 81–82, 84–85

      spread betting, 132–133

      Srivastava, Mohan, 26–28

      start-ups

      advantages of, 102

      suggestions for, 107

      statistics

      importance of, in sports, 79, 80, 209

      modern, one of the founders of, 23

      oft-quoted mantra in, 206

      roulette and, 7–8, 21

      See also predictions; probability; regression analysis

      stereotypes, 192, 213

      stock exchanges, 109–110, 113, 117, 121, 130

      stock/financial markets, 96, 97, 100, 113, 115, 117–120, 121–122, 123–124, 129–132, 161, 162, 198

      strategy-stealing approach, 159

      Straus, Jack, 140

      strong solutions, 158, 159

      substitution cipher, 63

      successful system, 218

      Sullivan, Gregory, 32

      Super Bowl, 100

      superhuman strategies, 190, 217

      surprises, 175, 176, 188, 217

      syndicates. See betting syndicates

      systemic risk, 133

      Tang, Si, 129

      Tartanian poker bot, 167, 189

      taxation, 25, 101, 132, 133

      technical analysis, 55

      technological improvements, 107–108

      telegraph/telegrams, 109, 110

      tennis, 88–89, 107, 110

      Texas hold’em poker, 140–141, 151–152, 172, 177, 185–186, 187–188

      Theory of Games and Economic Behavior (von Neumann and Morgenstern), 139, 169

      Theory of Parlour Games (von Neumann), 147

      Thorp, Edward, 11–12, 12–13, 14, 15, 35–36, 37–39, 40, 43, 61, 62, 65, 197, 208, 212, 213, 218

     


    Prev Next
Online Read Free Novel Copyright 2016 - 2026