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.p201 biased data -> "machine indoctrination", calls for algorithmic transparency .p202 Amazon hiring algorithm training process gender-biased .p204 adding variables [[ https://en.wikipedia.org/wiki/Curse_of_dimensionality | curse of dimensionality ]] .p206 Science haphazard?? .p207 Science works well because it is self-correcting .p210 epigenetics .p211 [[ https://en.wikipedia.org/wiki/Diederik_Stapel | Diederik Stapel ]] [[ http://nick.brown.free.fr/stapel/FakingScience-20161115.pdf | Faking Science: A True Story of Academic Fraud ]] . |
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Calling Bullshit
The Art of Skepticism in a Data-Driven World
Carl T. Bergstrom & Jevin D. West . 2020 . BeavLib 149.73 BER
References but no traceable footnotes or citations
- p029 Misinformation: false claims, not intentionally deceptive
- p029 Disinformation: deliberately spread falsehoods
p030 WhatsApp
p031 2017 Facebook admits 126M US users exposed to Russian propaganda
- p032 Firehose strategy disorients audiences. Eschew consistency, exhaust critical thinking
- p032 Purpose: advertising revenue
- p032 Teens in Macedonia earning $5000/mo, "Pope Francis Shocks the World, Endorses Trump for President"
- p034 mid-2017 FCC net neutrality, 21.7M citizen comments, most fraudulent, 500K similar comments sent at the same exact second 2017 July 19 2:57:15 pm EDT, 500K from Russia
- p038 Superfluous details make lies more persuasive
- p039 With nothing to say, bullshit fills space with inconsequentials
- p040 persuasive (exaggerated authority) or evasive (deflect uncomfortable questions) bullshit
- p040 jargon to exclude outsiders
p041 Bruno Latour Pandora's Hope: Essays on the Reality of Science 1999
- p041 When mechanisms (machines, theories) are well established, we should still examine inputs
p042 example black box: ANCOVA Analysis of covariance
- p043 Bullshit: biased input or obvious problems with output
- p047 detecting felons from photos: training photos of felons are scowling, nonfelon photos are attractive
- p064 Pitchers versus glasses - pitcher don't make us drink more, we order pitchers when we intend to drink more
p087 teen drivers in accidents are ×1.44 more likely to die with teen passenger, ×0.36 less likely with >35 yo passenger
- p094 When a measure becomes a target, it ceases to be a good measure, because people game the score
- p095 Schools evaluated by student test scores teach "to the test" and memorization, not thinking
- p101 "50% of scientific papers never read" false, made-up statistic; actually 50% uncited after 4 years, but perhaps read many times
p102 Eugene Garfield founder of Science Citation Index couldn't correct this falsehood
p106 Selection bias; results influenced by act of sampling
p120 Berkson's paradox i.e. attractiveness and niceness; people rarely choose neither, so the remainder chosen correlate negatively
- p125 hence Yeats: "The best lack all conviction, while the worst are full of passionate intensity
- the worst who lack conviction live in Mom's basement, where they are not observed
p129 right censoring
- i.e. rap performers appear to die young because most rappers are young
- "but some of the pattern is real, trust me"
- p131 workplace wellness programs: those who opt in start out healthier
- p131 randomized control trials: wellness programs have no effect on fitness activities, employee retention, or medical costs
p135 Graphcrud: 2005 Florida "Stand Your Ground" law increased murders from 520 to 820 in 2007, but INVERTED AXIS Florida graph fools the eye and hides the long term lower murder trend that was REVERSED by the law
- p139 multiple variable relationships properly shown 0.5% in NYT, none in Washington Post or Wall Street Journal
p144 Glass slipper fits Cinderella; in the original Grimm version, the evil stepsisters amputate toes and heels trying to fit
p146 The Periodic Table of Periodic Tables by Daniel Donahoo in 2010 Wired
p148 2012 Andy Proel A Subway Map of Maps that Use Subway Maps as Metaphor
- p153 Silly unicorn drawing with business analytics buzzwords pointing at body parts
- p154 Silly bicycle drawing annotated with education buzzwords
- p155 bar graphs showing 40% to 22% differences but with the lower axis cut off just below Quebec numbers, making them look MUCH smaller
- p156 Improperly scaled horizontal bar graph showing MUCH longer bars for White and Asian American
- p159 Autism and MMR coverage versus birth year - autism range 0.1% to 0.6%, MMR coverage from 87% to 93% superimposed
- large autism prevalence after 2000 unlikely due to tiny MMR change
- p160 Thyroid cancer and Roundup glycophosphate increase simultaneously, but so does cell phone usage
- p170 Tennessee nonfarm labor increases 8%, bars increase 267%
- to be fair, they are presenting a steady increase in an observable way
- p170 Bar graph of book title sales - misleading because title label is shown as lower extension of bar
- p173 Fatal car crashes by age group misleading, page 174 car crashes per 100M miles by age group, young and old worst
- p178 Perspective pie chart shows largest group in back, seemingly smaller
p184 Did AI Chatbots develop their own language? Snopes: No
- p185 Post office machine learning to sort 0.5 billion mail pieces per day. machines manage 98% of handwritten addresses, 2% go to humans in huge Salt Lake City postal complex, some employees handle 1800 addresses per hour
p195 We prove we are human with visual CAPTCHAs, we are terrible with probabilities
- Completely Automated Public Turing Test to tell Computers and Humans Apart
p199 Carlos Guestrin machine learning; husky versus wolf image, software "learned" to recognize snow background of husky images
- p200 neural networks "detected pneumonia" in patient X-ray images from "PORTABLE" scanner because pneumonia patients were imaged in ER, not the radiology department
p201 biased data -> "machine indoctrination", calls for algorithmic transparency
- p202 Amazon hiring algorithm training process gender-biased
p204 adding variables curse of dimensionality
- p206 Science haphazard??
- p207 Science works well because it is self-correcting
- p210 epigenetics
p211 Diederik Stapel Faking Science: A True Story of Academic Fraud
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