In the 2008 US Presidential Election, we have a three-way battle over who is more experienced. Does Hillary Clinton’s presence in the White House as first lady make her more experienced than the junior Senator from

This conversation goes further with internet-curmudgeon, open culture naysayer, and rhetorical-bomb thrower Andrew Keen’s (discussed previously) recurring lament that the lack of experts on the internet and the reliance on crowdsourcing have led to sloppiness and mistakes (ironically illustrated by Keen’s failure to rebut and subsequent ‘rebutting’ of Lawrence Lessig), all framed by a horribly simplistic article in Newsweek, which has had the blogosphere rumbling.
There’s no doubt that experiential learnings have a benefit in certain circumstances, particularly in environments that are static and require technological (from a mastery of that particular domain, not necessarily one involving technology) expertise. Examples of this might be engineers, doctors, or lawyers. But with experienced people, what happens when they encounter the unexpected?
The more-correct answer to the expert and non-expert question is not a matter of either or, but rather one of ‘both’. The fresh perspective and lack of institutional bias makes the opinion of the amateur relevant, particularly as they bring outside learning into the mix. This experiential (or referential) diversity manifests itself often these days, via business and technological collaborations, culture jammers, and cross-functional teams. The sum of the two differing parts in a working system is greater than the whole, and most certainly greater than two of each part.
Remember that ‘experts’ planned the war in
As discussed in this Social Psychology paper on [Government Policy] Think-Tanks from
The biggest problem with experts is their overconfidence of their ‘knowns’. You may recall the following bit of Rumsfeldian-slash-beat-poet observation:
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As such, the planners of the

Experts may occasionally feel that their mastery of the known-knowns and known-unknowns, in concert with the possible discoveries of unknown knowns, offset any threats presented by unknown-knowns. This may be true, except when there is insufficient, biased, misleading, overwhelming, or non-conforming data. The holes in that data is then plugged in with observations and perspectives filtered through that same experience, sometimes with disastrous results, as seen above. Sadly, there is often little accountability or effect on the reputations of these ‘experts’, as the failings are blamed on the missing data, and note for the experts’ failure to account for the unknown-unknowns.
The last great problem with experts is their failure to adequately recognize their own limitations. In fact, they are far more likely to overestimate their own competencies, opening up even more opportunities to introduce their cognitive biases into the decision making process. For example, unfunny people tell jokes yet rate themselves as funny.
None of this is to say that the expert should be banished, or that the summed wisdom of crowds is greater than that of the experts. Consider the current boom of conspiracy theories by amateurs working from limited information. They too are plugging gaps in their knowledge bases, and (hopefully) coming to inaccurate conclusions. But the diversity of experience of the many can still compensate for the concentrated experience of the few when confronted with a complex system.



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