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    What Stays in Vegas

    Page 32
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      Nagle, James. “Trading Stamps: A Long History,” New York Times, December 26, 1971.

      Nobel, Carmen. Why We Blab Our Intimate Secrets on Facebook. Harvard Business School Working Knowledge, December 10, 2012.

      Ohm, Paul. “Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization.” In UCLA Law Review 57 (2010), 1701.

      PricewaterhouseCoopers LLP. Transforming Healthcare Through Secondary Use of Health Data, 2009.

      Reidenberg, Joel R. “Resolving Conflicting International Data Privacy Rules in Cyberspace.” In “Symposium: Cyberspace and Privacy: A New Legal Paradigm?” Stanford Law Review 52, no. 5 (May 2000), 1315–1371.

      Schwartz, David. Seeking Value or Entertainment? The Evolution of Nevada Slot Hold, 1992–2009, and the Slot Players’ Experience. Occasional Paper Series 1. Las Vegas: Center for Gaming Research, University Libraries, University of Nevada Las Vegas, 2010.

      Schwartz, Paul M. “Property, Privacy, and Personal Data.” In Harvard Law Review 117, no. 7 (May 2004), 2056–2128.

      Shaw, Jonathan. “Exposed: The Erosion of Privacy in the Internet Era.” In Harvard Magazine, October 2009.

      Solove, Daniel J., “Access and Aggregation: Public Records, Privacy and the Constitution.” In Minnesota Law Review 86, no. 6 (2002).

      Solove, Daniel J., and Chris Jay Hoofnagle. “A Model Regime of Privacy Protection.” GWU Law School Public Law Research Paper No. 132; GWU Legal Studies Research Paper No. 132, April 5, 2005.

      Stein, Joel. “Data Mining: How Companies Now Know Everything About You.” In Time Magazine, March 10, 2011.

      Sweeney, Latanya. Patient Identifiability in Pharmaceutical Marketing Data, Data Privacy Lab Working Paper 1015. Cambridge, 2011.

      ———. Discrimination in Online Ad Delivery, at http://dataprivacylab.org/projects/onlineads/1071-1.pdf, January 28, 2013.

      Turdean, Cristina. Computerizing Chance: The Digitization of the Slot Machine (1960–1984). Occasional Paper Series 15. Las Vegas: Center for Gaming Research, University Libraries, University of Nevada Las Vegas, 2012.

      Wall Street Journal. “What They Know” series and other reporting.

      INDEX

      Abine

      form-filling plug-in, 268

      MaskMe, 264

      opt out service, 245–246, 267–268

      technologies of privacy tools, 261

      Aboutmyinfo.org, 104

      AboutTheData.com, 221–223, 267

      Abstractors, 47–48

      AccuData, 63

      Accurint, 267

      Acquisti, Alessandro, 260–261

      Acres, John, 25–26, 190–191(fig), 222

      Acxiom

      AboutTheData, 221–223, 267

      considers paying users for data, 235

      consumers see files, 219–223, 252

      as data broker, data appender, 9, 63, 173, 186

      favors regulation, 244

      sells information to casinos, 90

      Adam & Eve adult stores, 228–229

      Adblock Plus, 260, 262

      Adelson, Sheldon, 216

      Adler, Jim, 50, 100

      Adobe Flash, 262

      Advantage players, 127, 129–130

      Advertising on mobile devices, 163, 186–187

      African Americans, 76, 88

      Agassi, Andre, 245

      Ahn, Tony, 135–136

      Airline frequent flyer/loyalty programs, 17, 24–25, 38, 213, 232

      Alba, Diana, 244–245

      Alcohol, 76, 99, 100, 124

      Alliance Data, 79

      Alliant, 251

      AlphaBird, 167–169

      Amazon, 35, 71–72, 100, 212, 248

      Amazon MYHABIT, 238

      American Airlines, 9–10, 17, 24, 162

      American Business Information, 82

      American Express, 266

      American Heart Association, 87

      American Name Society, 87, 88

      American Student Marketing, 76, 241

      America’s Most Wanted TV show, 153

      Ancestry.com, 62

      Anonymizer.com, 261–263

      Anonymous (hacker group), 264

      AOL search history data release, 112

      Apollo Global Management, 91

      Archives.com, 62, 66

      ARIA Resort and Casino, 77, 123–124, 125(fig), 133, 135–136

      Aristotle, 88

      Arizona, 195

      Arrest booking photos. See Mug shots

      ASL Marketing, 76

      Asterisk, 260

      AT&T, 81

      Atlantic City casinos, 14–16, 31, 175, 185–186, 195, 205, 217

      ATMs, 83, 93, 181–182

      Auerbach, Dan, 226

      Aunt Jemima, 72

      Austin, Texas, 108, 140–142, 149, 153–155

      Authentic8 Silo, 262

      Bacchanal restaurant, 36

      Background check websites, 46, 48, 69–74

      Bagnall, Andy, 89, 90

      Bally’s, 174

      Bank of America, 183

      Bankruptcy, 6, 117, 129–130, 206

      Banks

      card-issuing, 183

      purchasing personal data, 47, 80

      share data from users’ accounts, 234, 266

      Beat the Players (Nersesian), 129

      Behrman, Clay, 183

      Bell, Gordon, 268

      Bell, Tom, 246

      Bellagio, 17, 37, 77, 133, 197, 200, 209

      Bellevue, Washington, 57

      Benefits to customers from personal data gathering, 31, 38–39, 171, 176, 249, 253

      Bentley University, 102, 239

      Berkshire Hathaway, 52

      Berlin Wall, 158, 222, 231

      The Better Angels of Our Nature (Pinker), 105

      Betty Crocker, 72

      Big data

      generated from cell phones, 231–232

      helps Caesars, 112, 171–173

      potential human rights backlash internationally, 100

      power and potential, 214, 238

      for segmenting customers, 85–86, 89

      Bing, 66

      Binion, Benny, 21–22, 32, 33, 195

      Black list of excluded gamblers, 127

      Blackjack

      compared to slot machines, 175

      played by Kostel, 36, 37, 172, 197–200

      Blackjack card counters from MIT in 1990s, 128–129

      Blackphone, 265

      Bond, James, 7, 162

      Bonds, Barry, 138

      Booz Allen Hamilton, 27

      Bosnian war, 230–231

      Botnet traffic, 168, 169–170

      Boushy, John, 11–12

      Bravo, Adam, 77

      Brierley, Hal, 24–25, 79, 80

      Brilliantriches.com, 167

      Britain, 7, 99, 174, 243

      Brownstein, Peter, 87–88

      Browser fingerprinting, 251–252, 261

      Buffett, Warren, 52–53, 66

      Busted! 140–144, 149–155

      Busted! Grid (bustedgrid.com), 153, 154

      Busted! In Austin newspaper, 141–142

      Bustedmugshots.com, 142, 143–144, 150–151, 222

      Cable operators, 65, 83, 113, 175

      Caesars Entertainment

      purchased by Harrah’s, restructured, 4, 40

      cell phone apps, 185–186

      debt load, 6, 67, 74, 91, 203–206

      direct mail targeting clients, 76–77

      policy of no outside data, 40, 210–214

      during recession, 94–95, 175

      tracks loyalty members’ spending, 174–175, 181

      use of personal data, 16–17, 130, 249

      See also Total Rewards loyalty program

      Caesars Palace

      background, 4–5, 36–37

      cash handling costs, 183–184

      Colosseum, 216

      comps top-tier gamblers, 193, 200

      customers choose to share personal data, 36, 39, 171–173, 249

      Forum Shops, 198–199

      high-limit room, 198–199

      California State Univers
    ity, Monterey Bay, 70

      Caller ID, 54, 56–57, 58

      Cambridge, Massachusetts, 102

      Cameras for public and casino surveillance, 123, 125–127, 132–134, 136, 184, 202

      Canada, 99, 131, 173

      Cancer, 76, 84, 158, 244

      Card counting, 127, 128–130, 134

      Card readers for slot machines, 25–26, 190

      Carnegie Mellon University, 260

      CAS Inc., 84

      Case, Steve, 112, 232

      Cash, 181–184

      Casino movie, 43, 44

      Casino Share Intelligence (CSI), 182

      Casino staff

      explain Total Rewards changes, 179

      at opening of Horseshoe Cincinnati, 201–203

      surveillance of, 133–134, 183–184

      Casinos

      cashiers cage, 126, 133, 183–184, 198

      change from locally autonomous to centralized, 94–96, 195–196

      comps and perks, 193, 197–198, 200

      count rooms, 133, 183–184, 202

      high-limit rooms, 95, 198–199, 203

      surveillance rooms, 123–126, 133, 201

      Catalina Marketing, 187

      Cato Institute, 242

      Celebrity names, 41, 47–48, 67, 245

      Cell phones

      apps and advertising, 163, 185–188, 265

      generate big data, 231–232

      numbers, unpublished, 54, 61, 65

      Charlotte, North Carolina, 248

      Chase, Chevy, 41–42, 46–47

      Chase.com, 164

      Cheaters. See Thieves casinos want to exclude

      Cheez Whiz, 63

      Chicago, 44, 45, 47, 174

      China/Chinese language, 18, 86, 89, 215

      ChinaFlix.com, 164

      Church, George, 103–104, 246–247

      Clark County Recorder’s office, 47–49, 62–63, 244–245

      Claypoole, Ted, 248, 250

      Click fraud, 163–170

      Clinton, Bill, 82–83

      Clinton, Hillary, 3, 82–83

      Clooney, George, 36

      Cloud-based servers for customer data, 210–211

      Cocaine, 107, 145

      Cocoon, 262

      Cold Stone Creamery, 185

      Cole-Schwartz, Michael, 241

      Collegeshortcuts.com, 51

      Columbia Law School, 260

      Commodore Corporation, 81–82

      Consumer Federation of America, 260

      Consumer protection laws, 242–243, 246. See also Privacy protection methods and strategies

      The Control Group (thecontrolgroup.com), 70–71

      Control of personal data by consumers, 220–223, 231–235, 240, 253, 259–260

      Cook, Tom, 193–196, 217

      Cookies (digital), 160–161, 162, 229, 251–252, 261

      CoreLogic, 63, 65

      Cortés, Hernán, 56

      Cosmopolitan Hotel, 197, 200

      Costa Rica, 153

      CounterMail, 264

      Credit cards and credit card companies

      advances for gamblers reaching limits, 181

      vs. cash, 182–185

      companies as Acxiom’s clients, 80, 220

      opting out from targeting, 266

      payments for mug shot sites, 155

      transactions as personal data, 39, 266

      Credit header data, 65, 80

      Crime Stoppers conference, 154

      Criminal records sold to public, 3, 68, 72

      Cruise, Tom, 36

      Cruise ship voyages, 193, 196–197

      Cullen, Todd, 235

      Cullotta, Frank, 44–45

      Culnan, Mary, 239–240

      Customer loyalty, 11, 14–16, 217.

      See also Loyalty programs

      Danforth, Holly, 34

      Daniels, Calvin, 207

      Dark Mail Alliance, 264

      Data analytics

      mastered by Caesars, 10–11, 18

      opting out from, 266

      strengths and limitations, 203–206, 214–216, 252

      Data appenders, 173–174

      Data brokers

      introduced, 19–20

      block consumers from seeing own information, 219–220

      buy, rent, from data wholesalers, 62–63, 65

      and Caesars’ policy of no outside data, 40, 74

      with direct marketing name lists, 76, 83

      investigated by FTC, Congress, 72–73, 244

      opting out processes, 267

      selling medical data, 108, 244

      sued for legal violations, 58–60

      Data dossiers

      of casino customers, 193–200

      detailing personal information, 19, 68, 106, 267

      information withheld from consumers, 219–223, 252

      for marketing and risk mitigation, 80–81

      removal processes, 246, 267

      Data scientists, 111, 158–159, 163–167

      Data Square, 173

      Data vaults. See Personal data vaults; Privacy companies

      Data wholesalers, 62–65, 222

      DataBanker.com, 268

      Database mining

      origins and described, 77–113

      by Caesars, 6, 200

      predictive, 158

      DatabaseUSA, 83

      Datacoup.com, 234

      Dating websites, 69–70, 120, 238

      Davis, Chad, 228

      Davis, Phil, 174

      Davis, Sammy, Jr., 21

      Dawson-Brown, Claire, 151–152

      De Niro, Robert, 43

      Dead Souls (Gogol), 84

      Dean, Gabriel, 104

      Democratic Party, 3, 80

      Demographic information

      from Acxiom, 80

      changed to thwart privacy invasion, 106

      used by data appenders, 173–174

      of video game and Internet generations, 189

      without financial details, 211

      Department stores, 78, 113, 132

      Desert Inn, 42

      Detectives. See Private investigators

      Digital Advertising Alliance, 263

      Digital Marketing Works, 186

      Dion, Celine, 197, 216–217

      Direct Marketing Association (DMA), 61, 84–85, 89–90, 173, 251

      Direct marketing/direct mail marketing

      compared to online ad targeting, 163

      opting out, 266

      as term, 237–238

      uses sophisticated segmenting, 75–77, 84–90

      Disconnect.me, 160–161(fig), 262

      Discover credit cards, 184

      Discrimination based on personal identity, 107–108

      Disney World, 219

      DNA information shared, 103, 104, 110, 247, 259

      Do Not Call Registry, 246, 266

      DocuSearch, 69–74

      DoNotTrackMe, 262

      007.com, 162

      DoubleClick, 160

      Douglas, Kirk, 47

      Downey, Sarah, 245–246, 267

      Dowty, Scott, 181–182

      Dropbox, 268

      Dstillery, 159–167, 170, 248

      DuckDuckGo, 264–265

      Dunn, JoAnne Monfradi, 251

      Dyson, Esther, 226

      East Germany, 157–158, 219, 231

      eBay, 160, 162

      The Electric Horseman movie, 36

      Electric Reliability Council of Texas, 140

      Electronic Arts, 66

      Electronic Frontier Foundation, 226

      Electronic Privacy Information Center, 268

      Ellis, Brandi, 178

      Email, 79, 263–264

      Emerge Digital, 169

      Epsilon Data Management, 24, 63, 79, 80, 244, 252

      Equifax, 63, 266

      Eskin, Barbara, 172–173

      Ethnic and racial group targeting, 76, 85–90, 102

      Ethnic Technologies, 87–89

      European Union, 246

      Excluded Person List, 127

      Experian, 63, 173, 219, 252, 266

      Facebook

      created, 97�
    ��98

      as ad firm, 160, 162

      allows users to download personal data, 254

      Instant Checkmate arrest records ad, 72

      “likes” suggest personal information, 99–100, 248

      privacy levels, 265

      reveals personal data clues, 98–99, 134–136, 212–213

      Facial identification. See Photo recognition technology

      Fair Credit Reporting Act, 59, 73–74

      Family Circle, 172

      FBI fingerprint and criminal history records, 70, 150

      Federal Trade Commission (FTC)

      complaints against Instant Checkmate, 72–74

      fines Spokeo, 59, 239

      scrutinizes data brokers, 85, 244, 246

      Fertik, Michael, 226–229, 234, 248

      Feuer, Jack, 186

      Field, Don, 141

      Fifth Street Gaming, 133

      FileThis, 234

      Fill It browser plug-in, 234, 268

      Financial crisis of 2008

      changes forecasting models, 175

      impact on Caesars, 6, 67, 74, 91–93

      impact on Las Vegas, 20

      Fine, Randy, 32, 206

      Firefox, 262

      Flickr, 150

      Florida, 17, 47, 63, 73, 83, 138–140, 228

      Flynn, Tom, 131

      Flynt, Larry, 153

      Fonda, Jane, 47

      Ford, Gerald, 41–42

      Foursquare, 239

      Foxwoods Resort Casino, Connecticut, 93

      FoxyProxy, 262

      France, 7

      Fraud, 60, 80. See also Click fraud

      FTC. See Federal Trade Commission

      Fulloffashion.com, 167

      Fulltraffic.net, 168, 169

      Fundwiser.com, 167

      Future of Privacy Forum, 239

      Gamble, Fred, 107

      Gambling addiction, 35

      Gandolfini, James, 36

      Gantt, Leon, 219

      Gates, Bill, 98

      Gaydar, 100

      Geico insurance, 234

      GenealogyArchives.com, 61–62

      Gerber, Larry, 241

      Gibson, Mel, 137–138

      Global Cash Access (GCA), 181–183

      Gmail, 254, 263–264

      Godiva, 173

      Gogol, Nikolai, 84

      Golden Nugget Casino, 43

      Good Housekeeping, 172

      Goodman, Oscar, 1–2, 32, 36, 43, 240, 241(fig)

      Google

      changes user rules, 240

      privacy policy, 263

      rankings of negative postings, mug shots, 155, 227

      as search engine, 70, 264–265

      Google ads

      settings, 263

      AdWords, 54–55

      allows users to copy Gmail and calendar data, 254

      Instant Checkmate arrest records ads, 72–74

      of PeopleSmart, 66

      Google Voice, 260

      Government agencies selling to data wholesalers, 62–63, 65, 67

     


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