Alex Edmans, a Professor of Finance at London Business School, takes a deep dive into the manipulation of data and information so common in so much of our communications and “news.” The key element Edmans focuses on is our tendency to believe “facts” and “stories” that support our biases. If we’re pro-women running corporations, we’re much more willing to believe “studies” that show women CEOs out-perform male CEOs (according to Edmans, the jury is still out on this issue).
The other major culprit in skewing information is data mining. Data mining is a technique to search data for “facts” that support whatever you’re trying to prove. There may be a 1000 studies on whether breast-feeding increases a baby’s IQ, but data mining will find the studies that support your belief that infant formula works just was well. Whether it does or not, is another question.
With all the “research” being done, Edmans warns that anyone with a computer can find “evidence” to support just about any position–whether it’s true or false. That’s how conspiracy theories grow and thrive on junk science.
Deliberate confusion is the norm today. So many random facts are thrown about in the game of bewildering and baffling us. Is red meat bad or good? Should we drink a shot of vinegar (or extra virgin olive oil) each day to improve our heath? Are electric cars really better than gas powered cars?
I came away after reading May Contain Lies with a renewed skepticism and wariness about current “research” and social trends. I’m more liable to look at multiple sets of facts about an issue now and not just reject “evidence” that conflicts with my biases. Like Joni Mitchell suggests, I need to consider Both Sides Now. You might want to think about that, too. GRADE: A
Table of Contents:
Introduction — 1
PART I: THE BIASES
1. Confirmation Bias — 15
2. Black- and- White Thinking — 17
PART II: THE PROBLEMS
3. A Statement is Not Fact — 57
4. A Fact is Not Data — 59
5. Data is Not Evidence: Data Mining — 89
6. Data is Not Evidence: Causation — 115
7. When Data is Evidence — 168
8. Evidence is Not Proof — 192
PART III: THE SOLUTION
9. Thinking Smarter as Individuals — 211
10. Creating Organizations that Think Smarter — 235
11. Creating Societies that Think Smarter — 259
Appendix: A Checklist for Smarter Thinking — 283
Acknowledgements — 293
Notes — 295
Index — 313