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THE WISDOM OF McRIBS – Nick Maggiulli and our tendency to infer causality from coincidence
CROWDS AS DECISION TOOLS – The power of a large, independent sample
BELIEVE RESPONSIBLY – William Kingdon Clifford and the universal moral responsibility for calibrated beliefs
“THEY RUINED POPCORN!” – Cass Sunstein and the value of information and willingness-to-pay
HOW MUCH, THEN, IS IGNORANCE WORTH? – How and why we’ll PAY to avoid partisan information
CONSTRUCTIVE IDEAS ON PROBABILITIES FROM PRE-ELECTION COVERAGE
Or … as a friend called it, “What happened after Annie lost her shit on Twitter”
SPILLOVER EFFECTS FROM FORECASTING TOURNAMENTS
Can forecasting depolarize our political conversation?
WEIGHT & RATE: GREAT TECHNIQUE FOR CRITICAL THINKING
Vital tool (with a cool name), via Joseph Sweeney
— Why A Good Truth Is Hard to Find (Part I)
Processing fluency: We like and believe things oft repeated
— Why A Good Truth Is Hard to Find (Part II)
The “confidence heuristic”: Make it simple, sound certain, and we’ll believe
— The Hidden Tribes Study
New data on why we’re polarized and where to go from here
The trouble surmounting the intractable minority
— Algorithms To The Rescue?
For fake-news detection, AI finds what we can already spot
— Morality To The Rescue of Algorithms?
If you’re concerned about self-driving cars making moral choices, this should make you feel better: Humans don’t even agree on those choices
1. MY-SIDE BIAS, PART II – The counterintuitive effect of training on mitigating bias
2. WHAT FRESH HELL …? – Midterm-election polls, pre-election expectations, and Nate Silver’s sobering message
3. TRANSPARENCY MATTERS – But sometimes HOW MUCH it matters depends on whether you’re looking OUT or looking IN
4. IS EIGHTY MILLION SUPPOSED TO BE A LOT? – Netflix seeds its narrative with a potentially meaningless statistic
5. TEST YOURSELF – Did these 21 social science experiments replicate?
In this week’s newsletter:
1. “ACCENTUATE THE POSITIVE” – What biases in the reporting of drug studies show us about our own decision-making
2. “DIFFERENT KINDS OF SMART” – We’re fortunate if we’re one kind of smart but that means there is still a lot we don’t know
3. WHAT’S LUCK GOT TO DO WITH IT? – If “it” is wealth distribution, luck has plenty to do with it just like it does in all our outcomes
4. (A SYLLOGISM:) ALL PEOPLE HAVE COGNITIVE BIASES – Some cognitive biases involve motivated reasoning – Some people engage in motivated reasoning
5. WHY EXTREMISTS AND SCAMMERS THRIVE ON SOCIAL MEDIA – And why banning individual accounts won’t accomplish much
TRIBALISM ON STEROIDS When partisanship increases, it leads to hatred of the opposing tribe – and we’re there. Now. Jon Haidt recently tweeted that our partisan hatred is
NO, JUDGES DON’T GIVE HARSHER SENTENCES WHEN THEY ARE HUNGRY How a sexy narrative can make us forget that correlation does not equal causation Ego
“Communicating Uncertainty and Inspiring Confidence: Conflicting Messages?” — Annie’s Newsletter, Sept 28, 2018
COMMUNICATING UNCERTAINTY AND INSPIRING CONFIDENCE: Do the two messages conflict? A question from product-management team leader Sacha Adam I love hearing from readers for many
WHAT DOES THE RAW DATA SAY ABOUT SEXISM BY TENNIS REFS? It’s a trick question: RAW Data doesn’t SAY anything WE collect and interpret it,
WHEN AN AUTO ACCIDENT DOESN’T HAPPEN Why “Tesla Autopilot saves a life” is barely news Tesla’s Autopilot technology includes a collision-avoidance feature that an owner recently credited with