INDEX

The page numbers in this index refer to the printed version of this book. The link provided will take you to the beginning of that print page. You may need to scroll forward from that location to find the corresponding reference on your e-reader.

Note: Page numbers in italics refer to illustrations.

“access” (term usage), 61

accuracy of numbers, 60–61

actors and product promotion, 135

Adams, Dennis, 156

advertising, 54, 145–46

air travel, 56, 201–2

albinism, 166

Aldrin, Buzz, 229–231

Alexa.com, 143

alternative explanations, 152–167

for ancient earthworks of Kazakhstan, 156–58

and cherry-picking, 161

and control groups, 158–160

in court cases, 155–56

scientists’ consideration of, 249

and selective small samples, 164–66

and selective windowing, 161–64

amalgamating, 64–72, 74

anti-evolutionism, 170

anti-refugee sentiments, 203

anti-science bias, 252

anti-skepticism bias, 252–53

Apple, 47, 48

arguments in science, 193–94

Arkani-Hamed, Nima, 250

Armstrong, Neil, 229–231

Associated Press (AP), 66

association, persuasion by, 176–77, 210

atoms, 245

authority, 129, 135. See also experts and expertise

autism and vaccines, 182, 207, 207–10

automobile accidents, 116–17, 202, 273n116

averages, 11–25

and bimodal distribution, 17–18, 18

combining samples from disparate populations, 17

and common fallacies, 18–20

mean, 11–13, 17, 18–19, 21, 265n18

median, 11, 12–13, 17, 18, 19, 265n18

mode, 11, 13, 17, 19

and range, 17

and shifting baselines, 20–24, 22, 23

and skewed distributions, 20–21, 24, 25

axes, 26–42

choosing the scale and, 33–35, 34, 35

discontinuity in, 30–33, 31, 32, 72–73, 73

double Y-axis, 36–42, 37, 38, 44, 44–45

truncated vertical, 28–30, 29

unlabeled, 26–28, 27, 28, 40, 41

baselines for comparison, 7, 21–24, 22, 23, 56

batting averages, 71–72, 72, 73

Bayesian reasoning, 99–102, 216–221, 222, 223–29

Bayes’s rule, 108–9, 217–221, 255, 272n108

Beall, Jeffrey, 144

belief perseverance, 205–7, 210

Best, Joel, 119

Billings, Josh, 125–28

bimodal distribution, 17–18, 18

bin widths, unequal, 71–72

birth rates, 67, 67–71, 68, 69, 70, 71, 151, 154

Blaine, David, 231–245

breath-holding demonstration, 231, 236–245

fasting demonstration, 231, 234–36

ice-block demonstration, 231, 232–33

needle-in-hand demonstration, 234

TED talk of, 231, 232, 236, 244

bosons, 246. See also Higgs boson

bottled water, 176–77

breast cancer, 111–14, 115, 118, 118

breath-holding demonstration of Blaine, 236–245

Brewster, Signe, 249–250

British Medical Journal, 210

Bush, George W., 19, 29, 29–30, 30

Cage, Nicolas, 49, 49–50

California, water consumption in, 55

cancer

breast cancer, 111–14, 115, 118, 118

and perception of risks, 174–75

Capehart, Jonathan, 137

car accidents, 116–17, 202, 273n116

Catholic Church, 154

causation, 48–51

celebrities, reported deaths of, 136

cell phones, 5, 61

Census of 1960 (U.S.), 91–92

CERN (European Organization for Nuclear Research), 90–91, 152, 248, 250

Chaffetz, Jason, 40–41

cherry-picking bias, 161, 165

Chomsky, Noam, 136

citations, 149

Clark, Dick, 164, 251

Clark, Sally, 106–7, 134

classic probabilities, 98–99, 271n98

Clinton, Hillary, 148

CNN, 202–3

coincidence, 49–50

collecting numbers. See data collection

college size, 24

combining probabilities, 102–3, 218

comparisons, 61–73

conditional probabilities, 104–8

asymmetry in, 115–19

and Bayes’s rule, 108–9, 272n108

in court cases, 155

and deductive arguments, 186

visualizing, with fourfold tables, 108–11, 118–19

confidence intervals, 82–84, 84, 269n84, 282n248

confounding factors, 212

conspiracies and conspiratorial thinking, 168–170

Consumer Price Index (CPI), 94

Consumer Reports, 252–53

contrapositive statements, 187, 189

control groups, 158–160

converse error (fallacy of affirming the consequent), 186–87, 189

Cook, Tim, 47, 48

correlation

and causation, 48–51

definition of, 39

illusory, 198–200, 199, 209–10

in school funding and SAT scores, 38, 39, 39–40

counterknowledge, 168–177

and conspiratorial thinking, 168–170

defined, 168

on Internet, 251, 254

and journalism, 171–73

and moon-landing denial, 230, 231

in Orwell’s 1984, 251

and perception of risks, 173–75

and persuasion by association, 176–77, 210

court cases, 16, 117, 124, 155–56

coverage errors in sampling, 87–88

crime rates, 31, 31–33, 32, 33, 173

critical thinking

cultivation of, 222

and emotions, 224–29

enterprises emphasizing, 252–53

and the Internet, 252–53

and known unknowns, 250

ongoing process of, 253

and the scientific method, 252

and the scientific revolution, 181

] watchers, 54

cum hoc, ergo propter hoc, 49

cumulative sales graphs, 46–47, 47

currency of information, 146

Dallas Observer, 240, 242

data collection, 75–96

and definitions, 93–95

and fraud, 181–82

and measurement errors, 90–93

and participation biases, 86–88

and reporting biases, 88–89

and sampling, 76–85

and sampling biases, 85–86

and selective windowing, 162

standardization issues in, 90

for unknowable/unverifiable results, 95–96

David and Goliath (Gladwell), 159

death. See mortality and death

deductive reasoning, 183–190, 192, 193, 194–97

definitions in data collection, 93–95

Democrats, 62–63, 139–140

Dentec Safety Specialists and Degil Safety Products, 140–41

Dey, Dimitriy, 157–58

discredited information, 146–48

distribution

bimodal distribution, 17–18, 18

skewed, 20–21, 24

doctors and employment trends, 63

domains of websites, 137–38, 141

drowning deaths, 49, 49–50, 173

Durant, Will and Ariel, 154

ecological fallacy, 18–19

education, purpose of, 215

Eidelman, David, 237

Einstein, Albert, 250

electrons, 246

elementary particles, 246

emotions

and critical thinking skills, 224–29

and justification of decisions, 124

and misframing risks, 202, 203, 205

employment/unemployment rates, 66

evolution, 170

exception fallacy, 18, 19–20

experimental design, 213

experts and expertise, 129–151

and citations, 149

and discredited information, 146–48

evidence-based arguments of, 129, 130

and fraud, 134

and hierarchy of information sources, 135–37, 232

incorrect assessments of, 129, 130–31

and institutional bias, 142

narrow expression of, 134–35, 251–52

opinions shared by, 129–130

and peer-reviewed journals, 132, 135, 143–44

recognizing, 131–34, 274n133

and regulating authorities, 145–46

and reposted information from others, 148

standards for, 130, 274n133

and terminology, 149–151

and websites, 137–141, 143

extrapolation, 58–60, 59, 60

fact-checking sites and organizations, 147–48

Falkenstein, Glenn, 233–34, 243–44, 245

fallacies, 198–210

affirming the consequent (converse error), 186–87, 189

belief perseverance, 205–7, 210

cum hoc, ergo propter hoc, 49

ecological fallacy, 18–19

exception fallacy, 18, 19–20

and framing of probabilities, 200–201

gambler’s fallacy, 166–67

illusory correlations, 198–200, 199, 209–10

post hoc, ergo propter hoc, 48–49, 207–8, 210

prosecutor’s fallacy, 221

when framing risk, 201–5

false positives/negatives, 111–14, 114

family size, average, 21–22, 23

far transfer, 222

fasting demonstration of Blaine, 234–36

Federal Bureau of Investigation (FBI), 155

fermions, 246

food labeling, 74

Forbes magazine, 38, 39, 66, 125

forensic science, 217–221

fourfold tables, 108–11, 118–19, 198–200, 217–221

Fox News, 10, 10, 29, 29–30

Fox television, 232

framing, 53–56, 155, 200–205

Frandsen, Mads Toudal, 248

fraudulent advertising claims, 145–46

fraudulent research data, 181–82

frequentist probabilities, 98–99, 271n98

Fuller, Charles, 237, 240

Galileo Galilei, 77–78

Gallup, George, 85

gambler’s fallacy, 166–67

genetics, 159–160

Get What You Pay For (Keppel), 7

Gladwell, Malcolm, 159

Gleason tumor grading, 90

Grafton, Scott, 238–240

graphs

choosing the scale and axes for, 33–35, 34, 35

cumulative sales graphs, 46–47, 47

with discontinuity in axes, 30–33, 31, 32, 72–73, 73

with double Y-axis, 36–42, 37, 38, 44, 44–45

misinterpretation of, 119–120

smooth lines in, 42

with truncated vertical axes, 28–29, 29

with unlabeled axes, 26–28, 27, 28

gravitons, 250

Guinness World Records, 238

Han, Dong-Pyou, 182

Harte, Bret, 128

Hawking, Stephen, 249

heart disease, 150–51, 175

heterogeneity, 18

hierarchy of source quality, 135–37, 232

Higgs boson, 217, 246–250, 247, 282n248

Holmes, Sherlock, 191–92

Holocaust revisionism, 170

homelessness, measuring, 94

home prices, 33–34, 34

home robberies, 203–5

hypotheses, 212

illegal immigrants, 89

illusory correlations, 198–200, 199, 209–10

illustrations, deceptive, 51–52, 52

immigrants, 203

incidence (term), 149–151

inductive reasoning, 183–84, 190–91, 192

inference, 191

inflation measures, 94

infoliteracy, x

institutional bias, 142

intelligence, 93, 134

interest rates, 7

Internet and websites, 137–141

and anti-skepticism bias, 252–53

assessing authority of, 143

citing research, 149

counterknowledge on, 251, 254

domains of, 137–38, 141

misinformation on, 253

and reposted information, 148

interpolation, 58–59

investments, 24, 25

Jenkins, James, 21

Jobs, Steve, 125

joint probabilities, 102–3

Jolly, David, 139–140

journalism

breaking news mode in, 171–72

and counterknowledge, 171–73

crime reporting in, 173

and hierarchy of source quality, 135–36

reliability of, 145

scientific investigation mode in, 171, 172

and selective windowing, 162–63

Journal of Management Development, 6

journals, reputable, 143–44

Kahneman, Daniel, 100

Kaysing, Bill, 229, 231

Kazakhstan, ancient earthworks of, 156–58

Kennedy, John F., 169–170

Keppel, Dan, 7

Kerry, John, 19

King, Martin Luther, 141, 275n141

known knowns, 211–15, 214

known unknowns, 211–15, 214, 250

The Lancet, 210

Landon, Alf, 85

law of large numbers, 165

learning, role of mistakes in, 249

Leibniz, Gottfried Wilhelm, 167

Lieb, Gretchen, 126–28

life expectancy, 20–21, 228, 266

Literary Digest, 85

Locard, Edmond, 217–18

logarithmic scales, 35

Los Angeles Times, 55

lying to pollsters, 88–89, 269n81

Lykken, Joseph, 249, 250

Lyons, Louis, 248

magicians, 153, 232, 233–34, 242–45. See also Blaine, David

Malthus, Thomas, 151

margin of error, 82, 83–84, 84, 269n84

MartinLutherKing.org, 141, 275n141

McCartney, Paul, 164, 251

mean, 11–13, 17, 18–19, 21, 265

measurement errors in data collection, 90–93

median, 11, 12–13, 17, 18, 19, 265

medicine

and decision making, 111–15, 117–18

and effect of treatments on life expectancy, 228

employment trends in, 63

and incidence vs. prevalence, 149–151

and mortality, 150–51

and pathology, 224

Mendeleev, Dmitri, 245

meta-analyses, 142, 183, 217

military service, 62

misinformation, xi, 168, 254, 263. See also counterknowledge

mistakes and learning opportunities, 249

mode, 11, 13, 17, 19

modus ponens statements, 186, 188

moon-landing denial, 229–231

mortality and death

causation vs. correlation in, 49–50, 49

and cause-of-death statistics, 73–74

and conditional probabilities, 106–7

crude death rate, 151

and medical advances of Semmelweis, 194–97

mortality term, 150–51

and perception of risk, 173–75

and plausibility assessments, 6

reported by media, 136

and risk-framing fallacies, 202–3

and sampling errors, 62, 63

and shifting baselines, 56

and unknowable/unverifiable claims, 95–96

motorcycle accidents, 63

Mozart effect, 158

multiple sclerosis (MS), 150

multiraciality, 89

Munroe, Randall, 51

neutrons, 246

New England Journal of Medicine, 234

New England Patriots, 92

New Jersey, welfare mothers in, 8–9

New York Times

on ancient earthworks of Kazakhstan, 156–57

on Blaine’s breath-holding demonstration, 240–41, 242

on Higgs boson research, 250

statistics misreported by, 8–9

on unemployment rate, 66

and verification of information, 135–36

on water consumption in California, 55

1984 (Orwell), 251

Nixon, Tom, 243–44

non-response errors in sampling, 87

notation of logical statements, 187–89

Nutrition, 234–35

Orwell, George, 251

outliers, 12–13

The Oxford Dictionary of Quotations (Knowles, ed.), 126–27

Paris attacks of November 13, 2015, 202–3

participation biases, 86–88

pathology, 224

pattern detection, 198

peer review, 132, 135, 143–44, 145

percentages and percentage points, 7

periodic table, 245–46

Personal Consumption Expenditures (PCE), 94

persuasion by association, 176–77, 210

pie charts, 9–10, 10

placebos, 158–59

plane crashes, 56, 201–2

Planned Parenthood, 40, 40–42, 41, 44–45

plausibility, assessing, 3–10

pneumonia, 108

political parties, 62–63

Politifact.com, 147–48

Pollack, Louis, 6

Popoff, Peter, 241

population

population size, 83

rate of natural increase of (RNI), 151

sample sizes for surveys of, 165

post hoc, ergo propter hoc, 48–49, 207–8, 210

Potkin, Ralph, 241

precision vs. accuracy of numbers, 60–61

predictions, 154–55

presidential elections, 19, 85, 91, 147–48

prevalence (term), 149–151

probabilities, 97–120

Bayesian, 99–102, 216–221

classic, 98–99, 271n98

combining, 102–3, 218

and counterknowledge, 170

deductive logic of, 183

of events informed by other events, 103–4

framing, 200–201

frequentist, 98–99, 271n98

in medicine, 224

for recurring, replicable events, 98–99

and statistical literacy, 166–67

subjective, 99–102

visualizing, with fourfold tables, 108–11, 118–19, 198–200

See also conditional probabilities

prosecutor’s fallacy, 221

Prosper, Harrison, 247, 248

protons, 246, 247

psychics, 153

public-opinion polls, 76, 99

public policy, 54, 64–65

publishing, 135, 145

quarks, 246

quota sampling, 81

quotations, 125–28

racial identities, 89

Randi, James, 153, 241, 244

random sampling, 79–81, 85, 163

range and averages, 17

recycling, 54–55

Rees, Nigel, 125–26

refugees, 203

regret, 229

regulating authorities, 145–46

reporting bias in data collection, 88–89

representative sampling, 76–80, 161–64

Republicans, 62–63, 139–140

Respectfully Quoted (Platt), 125, 126–27

Richards, Cecile, 42

risk

framing of, 201–5

perception of, 173–75

Rivera, Geraldo, 173

Rocketdyne, 230–31

Rogers, Will, 126, 127, 128

Roosevelt, Franklin D., 85

Rumsfeld, Donald, 211, 213–15

Sacramento Bee, 173

salespeople, 203–4

samples from disparate populations, 17

sampling, 76–85

biases in, 85–86

and confidence intervals, 82–84, 84, 269n84

and margin of error, 82, 83–84, 84, 269n84

methods of, 62–63

and probabilities, 104

quota, 81

random, 79–81, 85

representative, 76–80

sample size, 67, 83, 84, 271n98

selective small samples, 164–66

stratified, 79–81

SAT scores and school funding, 38, 38–40, 39

scenario planning, 154–55

Science, 6

science and the scientific method, 181–197

and abductive reasoning, 191–92

and alternative explanations, 249

and anti-science bias, 252

arguments in, 193–94

and critical thinking skills, 252

and deductive reasoning, 183–190, 192, 193, 194–97

and experimental design, 213

and hypotheses, 212

and inductive reasoning, 183–84, 190–91, 192

and medical advances of Semmelweis, 194–97

and meta-analyses, 142, 183, 217

myths about, 182–83

and notation of logical statements, 187–89

and scientific revolution, 181

value of basic research in, 252

selective windowing, 161–64

Semmelweis, Ignaz, 194–97

Seneff, Stephanie, 208–9

September 11, 2001, terrorist attacks, 169, 202

Severinsen, Stig, 237

sexual behaviors of teens and preteens, 64–65

Shaw, Gordon, 134

shifting baselines, 20–24, 22, 23

Shockley, William, 134

SIDS (sudden infant death syndrome), 106–7

significance, statistical, 57–58

Sink, Alex, 139, 139–140, 140

Slovic, Paul, 173

smoking deaths, 36, 36–37

Snopes.com, 252

sources, hierarchy of, 135–37, 232

sporting events and probabilities, 101

standardization issues in data collection, 90

Standard Model of Particle Physics, 246–250

standard of proof, 248, 282n248

statistical literacy, 166–67

Stephanopoulos, George, 147–48

stratified random sampling, 79–81

subdividing, 73–74

subjective probabilities, 99–102

syllogisms, 185–86

Tampa Bay Times, 147

TED talks, 231, 232, 236, 244

telephone sampling, 62–63, 85–86

terrorism, 169, 202–3

third factor x explanation of correlations, 50–51

Tierney, John, 240–42, 244

Time magazine, 5, 61

Times (U.K.), 174–75

TMZ.com, 136, 137, 232

toilets, access to, 5, 61

transportation and safety considerations, 201–2

trials, legal, 16, 117, 124, 155–56

Trump, Donald, 147–48

Tuten, Terrell, 21

Tversky, Amos, 100

Twain, Mark, 125, 127, 128

United Nations, 61

unknown unknowns, 211–15, 214

USA Today, 66

U.S. Bureau of Labor Statistics, 66, 94

U.S. Centers for Disease Control, 73–74

U.S. News & World Report, 62, 63

U.S. Steel, 16

vaccines and autism, 182, 207–10

verification of information, 147–48

veterinary science, 223–29

Vigen, Tyler, 49–50

Wakefield, Andrew, 182, 210

Wall Street Journal, 136–37, 171

Washington Post, 147–48, 171

water quality, 176–77

water usage in California, 55

weather patterns, 103–4

websites. See Internet and websites

Weiss, Hans, 6

World Health Organization (WHO), 209

Wright brothers, 131

xkcd (Munroe), 51

Zander, Benjamin, 249