[1] https://thehill.com/homenews/campaign/4920827-60-minutes-tru...
[1] https://thehill.com/homenews/campaign/4920827-60-minutes-tru...
This is wrong IMO. Data can be missing, incomplete, biased, skewed, and even just plain wrong. Cherry-picked data can be worse than no data.
The ultimate fact check is a scientific process of collecting data, modeling it, scrutinizing it and its methodology and the entities involved, contextualizing it, cross-checking, replicating, etc.
What media likes to call "fact checking" to me feels more motivated by punchy headlines and chyrons.
All true of course. The solution for that is more data, not less.
I think what I'm arguing is that just having data isn't good enough, and it's dangerous to accept data at face value. It needs to be the right data, and interpreted correctly.
What was readily checked is the source of such a claim (where did Trump get that from?) and what evidence was provided?
The trace back on that stupidity was unsubstantiated rumours triggered from a walked back local area posting and a slew of images that didn't come from the place in question, etc.
If I claim that you beat your wife, you are not expected to prove your innocence by showing that you don't do it. Proving a negative is difficult if not impossible in some cases. I have to show evidence to back up my claim.
True. It's a good thing media doesn't collect data on that case. Just interprets it to various levels of accuracy. Those who want a better interpretation can read the data itself and learn the mechanics behind it.
What you're talking about is more a question of scape, impact, and how accurate a prediction really needs to be. Of course we don't need to measure every atom to predict the weather - weather predictions are wrong all the time and rarely is that more than an inconvenience.
But I'm giving a best faith interpretation that the ones collecting the data are competent and have goals on what the data is collected for. We have too much talent flowing to assume the worst. We'll see how the next 4 years challenges my assumptions, though.
>What you're talking about is more a question of scape, impact, and how accurate a prediction really needs to be
Yes. That goal of data is to approximate the truth. More (good) data helps those who can interpret it to make better guesses. So the base truth of "we need more data then" is true. With a good faith interpretation.