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The campaign relied far too heavily on something that campaign technicians call “data analytics.” This refers to the use of models built from a database of the country’s 200 million voters, including turnout history and demographic and consumer information, updated daily by an automated poll asking for vote preference to project the election result. But when campaign developments overtake the model’s assumptions, you get surprised by the voters—and this happened repeatedly.

But in a time when fewer and fewer people have landline telephones and few of those answer them for unknown callers or (even worse) known pollsters, big data translates into big crappy data.

If Hillary's crew couldn't see Trump overflowing venues with multiple rallies per day while Hillary had to get the MSM to not raise their cameras to show the empty seats past row ten in a high school gymnasium and realize their polling was crap, they didn't deserve a minimum wage for their advice, much less millions of dollars.