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Dataclysm: Who We Are (When We Think No One's Looking)

Page 24

by Christian Rudder


  Cyrus, Miley

  data, itr.1, 9.1, bm2.1

  actor vs. acted upon in

  analysis of, itr.1, 1.1, 2.1, 4.1, 6.1, 14.1, bm2.1

  collection of, itr.1, itr.2, itr.3, itr.4, itr.5, 1.1, 1.2, 8.1, 12.1, 14.1

  commercial use of, itr.1, 14.1, 14.2

  corporate use of, 14.1, 14.2, 14.3

  cross-referencing of

  deletion of, 14.1, 14.2

  digital, itr.1, itr.2, itr.3, 6.1, bm2.1

  emotional shading behind

  extrapolations from, 6.1, 8.1, 14.1

  governmental surveillance of, itr.1, 14.1, 14.2, 14.3, nts.1

  hacking of, 12.1, 14.1, 14.2, nts.1

  of human interaction, itr.1, itr.2

  human story behind, itr.1, itr.2

  lack of

  location

  longitudinal

  message, 3.1, 6.1

  personal

  pollution of, 11.1n, 12.1

  privacy issue and, itr.1, 14.1, 14.2, 14.3, 14.4, nts.1

  robust, 5.1, 10.1

  selection bias and

  selling of, 14.1, 14.2

  storage of, itr.1, 1.1, 3.1, 14.1

  as storytelling

  terabytes of, itr.1, 2.1

  truth of, 13.1, 14.1

  unprecedented deluge of, itr.1, 4.1, 14.1, 14.2

  use of color with, itr.1, 3.1, bm1.1

  visualization of, 1.1n, 14.1

  as windows on our lives

  databases, itr.1, 1.1, 3.1, 8.1

  dataclysm.org/relationshiptest, 4.1

  DateHookup, itr.1, 6.1, 6.2

  dating, 1.1, 3.1, 4.1, 5.1, nts.1

  attractiveness and satisfaction in, 5.1, 5.2, 5.3

  racism and, 6.1, 6.2, 6.3, 6.4, 6.5

  see also websites, dating

  Dazed and Confused (film), 1.1, 12.1

  death

  “and taxes,”

  death penalty

  Democratic Party, 5.1, 8.1, 13.1

  demographics, itr.1, 1.1, 5.1, 6.1, 6.2, 10.1

  depression, 8.1, 11.1

  Description of a Slave Ship

  Digital OnLine Life and You (DOLLY Project), 12.1, nts.1

  disease, 4.1, 14.1, bm1.1

  epidemics of, 8.1, 8.2, 14.1, nts.1

  “Dittoheads,”

  dogfooding

  Don’t Look Back (film)

  Dowdell, James, 4.1, nts.1

  drugs, 8.1, 11.1

  side effects of

  Dylan, Bob, itr.1, itr.2

  Earth, itr.1, 2.1, 10.1, 14.1, 14.2, 14.3

  age of, 9.1, 9.2

  as viewed from space

  earthquakes, 7.1, 12.1, 12.2, nts.1

  eating disorders

  economics, 1.1, 8.1, 13.1

  Economist, 9.1, nts.1

  education, 1.1, 5.1, 6.1

  college, itr.1, 4.1, 6.1, 10.1, 13.1, 14.1

  exchange programs in

  high school, itr.1, 3.1, 6.1, 9.1, 12.1, 13.1

  Egypt, 9.1, 9.2, 13.1

  Einstein, Albert, 10.1, 13.1, 13.2, 14.1

  elections, US

  black candidates in, 8.1, 8.2

  district gerrymandering and

  exit polls in

  of 1952

  of 1982

  of 2008, 8.1, 8.2, nts.1, nts.2

  of 2012

  e-mail, 3.1, 3.2, 4.1, 5.1, 12.1, 14.1

  embeddedness, 4.1, 4.2

  employment, 6.1, 6.2

  search for, 7.1, 7.2

  see also jobs

  English language, 3.1, 3.2, 10.1

  Enlightenment era, 4.1, 6.1

  Escher, M. C.

  Essex, University of, 11.1, nts.1

  Euler, Leonhard, 4.1, 4.2, 10.1n, nts.1

  evolution, 2.1, 9.1

  Exif

  eyes

  blue, 10.1, nts.1

  Facebook, itr.1, itr.2, itr.3, 4.1, 6.1, 7.1, 9.1, 11.1, 12.1, 13.1, 14.1, nts.1

  data collection of, itr.1, itr.2, itr.3, 4.1, 4.2, 6.1, 11.1, 12.1, 14.1, 14.2, bm2.1, nts.1

  Data Science team of, 12.1, nts.1

  declining use of, 3.1, nts.1

  fake profiles on

  friends on, itr.1, itr.2, 4.1, 4.2, 4.3, 7.1, 7.2, 9.1

  “like” button on, itr.1, 6.1, 9.1, 14.1, 14.2

  married people on

  racial content of

  Terms of Service on, 14.1, bm2.1, nts.1

  Timeline on

  worldwide use of, itr.1, nts.1

  fame

  families, 4.1, 6.1, 7.1, 11.1, 14.1

  Fast Company

  Feynman, Richard

  Fiennes, Ralph, 3.1, 3.2, nts.1

  films, 4.1, 9.1, 14.1

  documentary

  favorite

  scary

  financial market volatility, 2.1, 2.2

  Fitbits

  flag burning, 12.1, 12.2

  flaws, 2.1, 2.2, 6.1, 14.1

  Fleming, Alexander

  flirting, 3.1, 12.1

  Forbes, 13.1n, 13.2

  forced school busing

  Ford Motors

  Foursquare, itr.1, nts.1

  friends, itr.1, itr.2, 3.1, 4.1, 4.2, 12.1

  best

  black

  college

  counting of

  loss of

  mutual, 4.1, 4.2

  work

  see also Facebook, friends on

  Frosty (dog)

  FuelBand

  future, 1.1, 14.1

  fear of

  Gaga, Lady, 9.1, nts.1

  Gallup polls, itr.1, 8.1, 11.1, 11.2, nts.1

  Gandhi, Mohandas K. “Mahatma,” 9.1, nts.1

  Gawker, 9.1, 13.1n, nts.1

  “gaydar,” 11.1, 14.1, nts.1

  General Relativity theory

  genes, 3.1, 4.1, 14.1

  geni.com, 14.1, nts.1

  geometry, 1.1, 1.2, 10.1

  Gingrich, Newt, 13.1, nts.1

  Gladiator (film)

  Gladwell, Malcolm

  Global Positioning System (GPS), 12.1, 14.1

  Gloor, Peter, 9.1, nts.1

  Gmail

  “God,” n

  Google, itr.1, itr.2, 3.1, 6.1, 12.1, 13.1, 14.1, 14.2, 14.3, bm2.1, nts.1, nts.2

  autocomplete function of, 8.1, 10.1, bm2.1, nts.1

  data collection of, itr.1, 14.1

  percentage of Americans on

  vilest impulses unleashed on, 8.1, 8.2

  visual design team at, 5.1, nts.1

  Google Books, 3.1, 3.2n, 8.1, 9.1, 10.1, 13.1, 13.2, nts.1

  Google Flu, 8.1, 14.1, nts.1

  Google Search, itr.1, 7.1, 8.1, 9.1, 11.1, 11.2

  frequency of the word “nigger” on, itr.1, 8.1, 8.2, 8.3

  Google Trends, 8.1, 8.2, 10.1, 11.1, 12.1, nts.1, nts.2

  Gorbachev, Mikhail

  gossip

  graphic designers, 5.1, 5.2

  Greek mythology, 1.1, 9.1

  Grindr, n

  Guardian, 14.1, 14.2, nts.1

  guitars, 13.1, bm2.1

  Gujarati language

  hair:

  Caucasian

  color of, 2.1, 6.1, 7.1n, nts.1

  Halpern, Justin

  Hamlet (Shakespeare)

  “Happy Birthday,” bm2.1, bm2.2

  Harper’s

  Harvard University

  hate speech, 8.1, 9.1

  health-care debates

  heart, 2.1, 8.1

  monitoring of, n

  Hendrix, Jimi

  high school yearbooks

  Hipstamatic

  History of White People, The (Painter), 6.1, nts.1

  Hitler, Adolf

  homosexuality, itr.1, 8.1, 11.1, bm2.1, nts.1

  “closeted,”

  experiences of, 11.1, 11.2

  genetic causes of

  gradual acceptance of, itr.1, 11.1, 11.2, 11.3, 11.4, 11.5, 11.6

  population estimates of, 11.1, 11.2, 11.3

  promiscuous

  self-disclo
sure of, 11.1, 11.2, 11.3, 11.4, 11.5

  universality of

  vocabulary typical of, 11.1

  see also bisexuality; lesbianism; marriage, gay

  House of Representatives, US

  Houston, Tex., 6.1, 10.1

  Huffington Post, 12.1, nts.1, nts.2

  human genome

  human spirit

  hyperglycemia

  hypertext markup language (HTML)

  ideas

  gap between

  intuitive, 4.1, 6.1

  new, 1.1, 4.1, 13.1

  Imagined Communities (Anderson)

  India, 12.1, 13.1

  indole, 2.1, nts.1

  Industrial Revolution

  industry

  Accounts Receivable in

  automotive

  service, 5.1, 7.1

  see also jobs

  inequality, 6.1, 11.1

  influenza, 8.1, nts.1

  information

  absence of

  design of

  making choices from

  nonsense vs.

  personally identifiable (PII), 14.1, 14.2

  sharing of

  innovation, 4.1, 13.1, 14.1

  Instagram, itr.1, 1.1, 3.1, 13.1, 14.1

  instant messaging (IM)

  intelligence, itr.1, 6.1, 7.1, nts.1

  testing of

  InterActiveCorp (IAC)

  Internet, itr.1, itr.2, 1.1, 2.1, 3.1, 6.1, 7.1, 12.1, 13.1, 13.2, 13.3, 14.1, 14.2, nts.1

  cultural impact of, 3.1, 5.1

  democratization process on, itr.1, 12.1n

  demographics and use of, itr.1, 6.1, 6.2, nts.1

  era before, 6.1, 12.1

  hate speech on, 8.1, 9.1

  human interaction on

  maintaining privacy on, itr.1, 14.1, 14.2, nts.1

  making of public figures on

  negativity on

  percentage of Americans on

  wide audience provided by

  Internet Protocol (IP)

  intuition, 4.1, 6.1

  iPhone, 14.1, 14.2, bm2.1

  iPhoto

  Irish people, 10.1, nts.1

  Japan

  JavaScript, 13.1, 14.1

  Jell-O, 13.1, nts.1

  jobs, itr.1, 4.1, 11.1, 13.1, 13.2

  coworkers at, 4.1, 4.2, 4.3

  government

  loss of

  male vs. female interviews for, 7.1, 7.2

  promise of

  workplace performance on

  see also employment

  Jobs, Steve, itr.1, 5.1, nts.1

  journalism, 3.1, 14.1

  Joyce, James

  Justice Department, US

  Justin (friend), itr.1, 2.1

  Kentucky

  Kerry, John

  keyboards, itr.1, 3.1

  King Kong (film)

  Kinsey Report, The (Kinsey), 11.1, nts.1

  Kleinberg, Jon, 4.1, nts.1, nts.2

  Klout, 13.1, 14.1, bm2.1, nts.1

  Königsberg, bridges of, 4.1, nts.1

  Korean peninsula, 7.1, nts.1, nts.2

  38th parallel in

  Ku Klux Klan (KKK)

  Lamis, Alexander P., 8.1, nts.1

  language, 3.1, 9.1, 11.1, 12.1

  dialects of, 3.1, 10.1

  literary, 3.1, 3.2, 3.3, 10.1

  programming

  study of

  on Twitter, 3.1, 13.1, nts.1

  variety and preservation of

  Lanier, Jaron, 14.1, 14.2, 14.3, nts.1

  Lee, Spike

  Leggero, Natasha, 9.1, 9.2, 12.1, nts.1

  Lennon, John, itr.1, 13.1

  lesbianism, 11.1, 11.2

  Liberman, Mark, 3.1, nts.1

  Limbaugh, Rush

  LinkedIn, 5.1, 7.1

  Linklater, Richard

  LOLs, 9.1, 9.2

  London subway bombings

  Louisiana, 11.1, 12.1

  love, itr.1, 3.1, 4.1

  dating sites and

  “experts” on

  lust vs., 12.1, 12.2

  Lucas, George

  lust, itr.1, 11.1

  love vs., 12.1, 12.2

  McCain, John

  McCartney, Paul, itr.1, 13.1, bm2.1

  McConaughey, Matthew

  McDonald’s, 13.1, nts.1

  Maddow, Rachel

  Mandela, Nelson

  Manjoo, Farhad, 13.1, nts.1

  mapmaking, 12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7, 12.8, nts.1

  marriage, itr.1, 1.1, 4.1, 4.2, 5.1, 9.1

  civil unions vs., 11.1

  evaluation of

  gay, itr.1, 11.1, 11.2, 11.3, 11.4

  sexless

  Mars/Venus metaphor, 10.1, nts.1

  Martin, Trayvon

  Massachusetts Institute of Technology (MIT), 9.1, 11.1, 14.1, 14.2, nts.1, nts.2

  masturbation fantasy

  Match.com, itr.1, 6.1, 6.2, 6.3, 7.1

  mathematics, itr.1, 1.1, 2.1, 2.2, 2.3, 6.1, 7.1, 9.1, 10.1n, 10.2, 11.1, 13.1, 13.2, 14.1

  measurement, 5.1, 7.1

  memory, 1.1, bm1.1

  men:

  aging of, 1.1, 1.2, 1.3, 1.4

  Asian, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 10.1, 10.2

  attraction of women to, 1.1, 1.2, 1.3

  attractiveness of women to, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 2.1, 2.2, 2.3

  black, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 8.1, 8.2, 10.1

  contacting of women by, 1.1, 1.2, 1.3, 1.4, 2.1, 3.1

  Latino, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 10.1, 10.2, 10.3

  sexual aims of

  straight, 11.1, bm2.1

  white, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7

  Mexico, 10.1, nts.1

  Michel, Jean-Baptiste, 3.1n, nts.1

  microchips, 13.1, nts.1

  Microsoft, 4.1, 14.1, 14.2, 14.3, nts.1

  Microsoft Research

  Milgram, Stanley, 4.1, 4.2, nts.1

  “misery index,” 11.1, nts.1

  Mississippi

  models, professional

  Montoya, Peter, 13.1, 13.2, nts.1

  Morris, Errol

  Mountain Dew, 13.1, nts.1

  Murakami, Haruki

  music, 2.1, 4.1, 10.1, 13.1

  identification of

  taste in, 1.1, 1.2

  Myers-Briggs test

  Myspace

  names, ethnicity of

  Napoleon I, Emperor of France, 8.1, bm1.1

  Narmer, Pharoah, itr.1, nts.1

  Nas, 8.1, 8.2

  National Basketball Association (NBA), itr.1, itr.2, nts.1

  National Football League (NFL)

  National Geographic

  National Security Agency (NSA), 14.1, 14.2, 14.3

  PRISM program of, 14.1, 14.2, 14.3

  Nature, 14.1n, nts.1

  Nawaz, Safiyya, 9.1, 9.2, 9.3, 12.1, nts.1

  network analysis

  network theory, 4.1, nts.1

  Newton, Isaac, 10.1, 14.1

  New York, NY, 6.1, 11.1, 12.1, 12.2

  Brooklyn, 8.1, 12.1

  Manhattan, 12.1, 12.2, 14.1, nts.1

  people watching in

  Queens

  Rockefeller Center

  Times Square

  Upper East Side

  New Yorker, 13.1, nts.1, nts.2

  New York Times, itr.1, 11.1, 11.2, 13.1, 14.1, 14.2, nts.1, nts.2, nts.3

  OpEd page of

  Nielsen ratings

  “nigga,” 8.1n, 8.2, nts.1

  “nigger,” 8.1, 8.2, 8.3, 8.4, 8.5, 9.1, nts.1

  Nigger (recording), 8.1, 8.2

  Niggerhead Lake

  Nixon, Richard M.

  North Dakota, 11.1, 11.2

  Norwegian Wood (Murakami)

  nouns, 3.1, 3.2

  Obama, Barack, 9.1, 13.1, nts.1

  “change” byword of

  on racism

  2008 election of, 8.1, 8.2, 9.1, nts.1, nts.2

  2009 inauguration of,
8.1, 8.2

  2012 election of

  Obasogie, Osagie K., 6.1, nts.1

  Occupy! movement

  OkCupid, itr.1, itr.2, itr.3, itr.4, 2.1, 7.1, 7.2, 9.1, 12.1, 13.1

  accounts removed from

  apps of, 3.1, 5.1

  attractiveness ratings on, 7.1, 7.2, 7.3, 7.4

  compatibility (match percentage) ratings on, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8

  Crazy Blind Date app promoted by, 5.1, 6.1, nts.1

  data collection of, itr.1, 1.1, 1.2, 2.1, 5.1, 6.1, 6.2, 11.1, 12.1, bm2.1

  founding of, itr.1, itr.2

  gay users of, 11.1, 11.2, 11.3, 11.4

  as largest dating website, itr.1, nts.1

  Love Is Blind Day on, 5.1, 5.2, 7.1

  match questions on, 8.1, 11.1, 11.2, 14.1

  median age of users of

  messages exchanged on, 3.1, 5.1, 5.2, 5.3, 5.4, 7.1, 7.2, 7.3, 7.4, 13.1, bm2.1, nts.1

  personal profiles on, itr.1, 2.1, 2.2, 6.1, 6.2, 10.1, 10.2, 11.1, 11.2, 11.3

  photographs on, 6.1, 7.1, 7.2, 7.3, 14.1, nts.1

  racial composition of users of, 6.1, 6.2, 6.3, 8.1

  racial data on, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9

  Omen, The (film)

  “online disinhibition effect,”

  Oxford English Corpus (OEC), 3.1, 10.1, 10.2, nts.1

  Painter, Nell Irvin, 6.1, nts.1

  Palin, Sarah

  paper

  parents, 1.1, 2.1, 4.1, 4.2, 7.1, 11.1, 12.1, 14.1

  Parsons code, bm2.1, bm2.2

  Pearl Harbor attack

  Pecker (film)

  Penny Arcade, 9.1, nts.1

  Pentland, Alex, 14.1, 14.2, nts.1

  People’s History of the United States, A (Zinn)

  Perry, Katy, 9.1, nts.1

  Perry, Rick

  personal essays

  on OkCupid, itr.1, 2.1, 2.2, 6.1, 6.2, 10.1, 10.2, 11.1, 11.2, 11.3

  Peters, Tom

  Pew studies, itr.1, nts.1

  Phil, Dr.

  Phish, 10.1, 10.2, 10.3, 10.4, 10.5, 10.6

  photobombing

  photographs, 5.1, 7.1, 9.1, 14.1, 14.2, bm1.1

  captions of, 3.1, 5.1

  on OkCupid, 6.1, 7.1, 7.2, 7.3, 14.1, nts.1

  scrambled, 5.1, 5.2, 5.3

  phrenologists

  Pinterest, 7.1, 7.2, nts.1

  Pitbull

  Pixar, 4.1, nts.1

  pixels

  pizza, 10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7, nts.1

  planets, 10.1, nts.1

  poetry, itr.1, 3.1, 11.1

  polio vaccine

  politics, 5.1, 5.2, 6.1, 7.1, 8.1, 11.1

  gridlock in, 9.1, 14.1

  liberal vs. conservative, 6.1, 9.1, 9.2

  party, 5.1, 8.1, 8.2, 9.1, 14.1, nts.1

  racism and

  Twitter use and

  popular culture, 3.1, 11.1

  pornography

  gay, 11.1, 12.1, nts.1, nts.2

  women-with-women

  Potomac River, 3.1, 3.2

  PowerPoint presentations, 2.1, 14.1

  “pratfall effect,” 2.1, nts.1

  pravastatin

  Privacy and Civil Liberties Oversight Board, US

  psychology, 6.1, 10.1

  neuro-

  social, 2.1, 7.1

  punk rock

  puns, 3.1, 6.1

  Quantcast, 6.1, nts.1

 

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