Radical Uncertainty: Decision-Making Beyond the Numbers

Reading Level
Grade 11
Time to Read
9 hrs 49 mins

Reading Level

What is the reading level of Radical Uncertainty: Decision-Making Beyond the Numbers?

Analysing the books in the series, we estimate that the reading level of Radical Uncertainty: Decision-Making Beyond the Numbers is 10th and 11th grade.

Expert Readability Tests for
Radical Uncertainty: Decision-Making Beyond the Numbers

Readability Test Reading Level
Flesch Kincaid Scale Grade 11
SMOG Index Grade 13
Coleman Liau Index Grade 11
Dale Chall Readability Score Grade 7

Reading Time

9 hrs 49 mins

How long to read Radical Uncertainty: Decision-Making Beyond the Numbers?

The estimated word count of Radical Uncertainty: Decision-Making Beyond the Numbers is 147,250 words.

A person reading at the average speed of 250 words/min, will finish the book in 9 hrs 49 mins. At a slower speed of 150 words/min, they will finish it in 16 hrs 22 mins. At a faster speed of 450 words/min, they will finish it in 5 hrs 28 mins.

Radical Uncertainty: Decision-Making Beyond the Numbers - 147,250 words
Reading Speed Time to Read
Slow 150 words/min 16 hrs 22 mins
Average 250 words/min 9 hrs 49 mins
Fast 450 words/min 5 hrs 28 mins
Radical Uncertainty: Decision-Making Beyond the Numbers by John Kay, Mervyn King
Authors
John Kay
Mervyn King

More about Radical Uncertainty: Decision-Making Beyond the Numbers

147,250 words

Word Count

for Radical Uncertainty: Decision-Making Beyond the Numbers

15 hours and 50 minutes

Audiobook length


Description

Much economic advice is bogus quantification, warn two leading experts in this essential book. Invented numbers offer false security; we need instead robust narratives that yield the confidence to manage uncertainty.Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one―not least Steve Jobs―knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package―what will interest rates, the cost of living, and your state of health be in 2050?―demonstrate only that their advice is worthless.The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.