February 14, 2013 [Wolf News/MSDNC]: In a Valentine's Day miracle, Congress and the administration today reached a long-term deal on the debt ceiling, taxes, and fiscal reform.
A group of rogue bipartisan realists from perfectly safe seats - the Washington DC and Guam delegates and the observer team from McMurdo Station, Antarctica, spurred along by a contingent of visiting Marines and Seal Team members glowering down from Senate and House galleries, publicly wondering exactly what they have been risking their lives to preserve - have brokered a deal to end the budget logjam.
This has been a ridiculously busy and stressful week for three of our recent scenario-based strategic planning clients: the United States Coast Guard, the Port Authority of New York and New Jersey, and the Federal Emergency Management Agency (FEMA).
One more thought provoked by Nate Silver's thought-provoking The Signal and the Noise.
It's about the seductiveness of data and cool, overly precise models.
(In comparison, say, to scenario-based planning? Sorry, the scenario consultants in us always rear their ugly, pragmatic, self-promoting heads. We gotta work on that.)
Scenario consultants have an advantage over single-point forecasters like Nate Silver: we're not restricted to single point forecasts.
Don't get us wrong: Nate Silver is as good as it gets when it comes to single-point forecasts, and as honest about their limitations. But that undeniable fact just further dramatizes how dangerous point forecasting can be.
Just to illustrate, let's take the current ongoing presidential hoo-hah.
Nate Silver's book The Signal and the Noise makes a darned good case for scenario-based strategic planning.
In it, he raises the old distinction between "hedgehogs" and "foxes," from a fragment by the ancient Greek philosopher Archilochus via Isaiah Berlin: "The fox knows many little things, but the hedgehog knows one big thing."
"Foxes" in this dichotomy are nonideological and open thinkers not wedded to any one theory; they are comfortable with "nuance, uncertainty, complexity, and dissenting opinion."
After decades of trying to help clients anticipate the widest range of plausible possible future events, the following quote rings quite true to us: “Those who know more forecast very slightly better than those who know less. But those with the most knowledge are often least reliable.”
Daniel Kahneman, a winner of the 2002 Nobel Prize in Economic Sciences, published this conclusion in his book Thinking, Fast and Slow after extensive research including numerous statistical analyses.
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