"All models are wrong, but some are useful"
George Box! Yes....
These simplistic dismissals of the data are hilarious.
We should abandon all sorts of probabilistic modelling in that case, because they aren't 100% accurate.
Oh, don't get me wrong. I love my data. But people need to be more skeptical with it. To add to the George Box classic quote above, here's another one of my favorites from Ronald H. Coase:
"If you torture the data long enough, it will confess to anything.”
There is a major difference between data-driven and data-informed. The human brain needs to engage with it and ask hard questions of what is being measured and how. Because a lot of statistical analyses in the social studies are prone to disastrous assumptions.
Ok, let me rephrase the question then: What tv station is the most tolerable to follow on election night?
This will probably sound rather droll and lefty, but I would honestly go with PBS. Sure, you won't get someone jumping on top of a desk wetting his pants as you would with the other networks. But you're more likely to get a reasoned evaluation of things with the right level of skepticism.