Big Data Knowledge Discovery Uncertainty 
The Unofficial Google Data Science Blog
JULY 22, 2020
For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. From a Bayesian perspective, one can combine joint posterior samples for $E[Y_i | T_i=t, E_i=j]$ and $P(E_i=j)$, which provides a measure of uncertainty around the estimate. Henne, and Dan Sommerfield. 2] Scott, Steven L.
The Unofficial Google Data Science Blog
JANUARY 14, 2016
Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.
The Unofficial Google Data Science Blog
FEBRUARY 29, 2016
The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. These typically result in smaller estimation uncertainty and tighter interval estimates. We previously went into some detail as to why observations in an LSOS have particularly high coefficient of variation (CV).
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