committees

[Scott Farrar]

John Hampshire characterized a committee as a collection of biased
estimators; the idea being that a collection of many different kinds of
bias might constitute a unbiased estimator.  I was wondering if anyone
had any ideas about how this might be related to, supported by, or refuted
by the Central Limit Theorem.  Could experimental variances or confounds
be likened to "biases", and if so, do these "average out" in a manner which
can give us a useful mean or useful estimator?

--Scott Farrar