Comment by pron
2 days ago
The problem is that too many people just don't know how to weigh different probabilities of correctness against each other. The NYT is wrong 5% of the time - I'll believe this random person I just saw on TikTok because I've never heard of them ever being wrong; I've heard many stories about doctors being wrong - I'll listen to RFK; scientific models could be wrong, so I'll bet on climate change being not real etc.
Trust is much more nuanced than N% wrong. You have to consider circumstantial factors as well. ie who runs The NY Times, who gives them money, what was the reason they were wrong, even if they’re not wrong what information are they leaving out. The list goes on. No single metric can capture this effectively.
Moreover, the more political a topic the more likely the author is trying to influence your thoughts (but not me I promise!). I forgot who, but a historian was asked why they wouldn’t cover civil war history, and responded with something to the affect of “there’s no way to do serious work there because it’s too political right now”.
It’s also why things like calling your opponents dumb, etc is so harmful. Nobody can fully evaluate the truthfulness of your claims (due to time, intellect, etc) but if you signal “I don’t like you” they’re rightfully going to ignore you because you’re signaling you’re unlikely to be trustworthy.
Trust is hard earned and easily lost.
> You have to consider circumstantial factors as well
This, too, goes into the probability of something being right or wrong. But the problem I'm pointing out is an inconsistent epistemology. The same kind of test should be applied to any claim, and then they have to be compared. When people trust a random TikToker over the NYT, they're not applying the same test to both sides.
> It’s also why things like calling your opponents dumb, etc is so harmful.
People who don't try to have any remotely consistent mechanism for weighing the likelihood of one claim against a contradicting one are, by my definition, stupid. Whether it's helpful or harmful to call them stupid is a whole other question.
My experience has been that people who trust some form of alternative news over the NYT are not preferring "some random TikToker".
And a lot of the time, that trust is specific to a topic, one which matters to them personally. If they cannot directly verify claims, they can at least observe ways in which their source resonates with personal experience.
5 replies →
5% wrong is an extremely charitable take on the NYT.
I once went to a school that had complementary subscriptions. The first time I sat down to read one there was an article excoriating President Bush about hurricane Katrina. The entire article was a glib expansion of an expert opinion who was just some history teacher who said that it was “worse than the battle of Antietam” for America. No expertise in climate. No expertise in disaster response. No discussion of facts. “Area man says Bush sucks!” would have been just as intellectually rigorous. I put the paper back on the shelf and have never looked at one since.
Don’t get emotionally attached to content farms.
That sounds like something from the opinion page rather than the news. That is ok, as long as it's clearly labeled. It doesn't sound particularly high quality; perhaps they were a local giving their view from the community.
Regardless, clearly labeled opinions are standard practice in journalism. They're just not on the front page. If you saw that on the front page, then I'd need more context, because that is not common practice at NYT.
It was on the front page, and, no, it wasn’t a labeled editorial. If you feel the need to research this to defend their honor, it would have been around fall 2005. I don’t assume their journalism has improved in the past 20 years, and I’m OK with not knowing.
So since incorporating in 1851, let's say they put out 60,000 issues. 1 issue would represent about 0.002% of their output. How do you get to over 5% wrong?
It's a spot check. They checked one article from one of those issues and they spotted an error, so odds of >5% wrongness are high in their view. (They need a larger sample size and some statistics to make such a claim, but certainly your numbers are way off, but in the other direction.)
were defending bushs katrina response now?
No, but I’m pretty sure a Civil War history teacher’s opinion isn’t the source you want.
Once a problem demands second order thinking you immediately lose a significant portion of the population.
It’s simply reality, or else propaganda wouldn’t work so well.
This is easily one of the most valuable comments I've ever seen on HN.
... and since we now know the world is more complex than what we used to think, say, 1000 years ago, this kind of "second-order thinking" is required more and more.
COVID ended my trust in media. I went from healthy skepticism to assuming everything is wrong/a lie. There was no accountability for this so this will never change for me. I am like the people who lived through the Great Depression not trusting banks 60 years later and keeping their money under the mattress.
I've seen this take a few times recently, including from a relatively famous person who seemed to be on my wavelength generally but I don't quite understand what is meant by it.
Could you quickly summarize how and why you felt let down by the media in regards to COVID?
Seconding this, I somehow managed to avoid encountering the coverage of COVID that people say shook their faith in institutions, despite following the news pretty closely. Like to the point that if not for others' reactions it'd never have occurred to me to regard the coverage as notably bad (unlike, say, the lead-up to the war in Iraq). I'd love to know what people are talking about when they bring this up, because I truly have no idea.
I actually kept a journal of all the things I was noticing that were becoming memory holed almost day to day, just so I wouldn’t think I was going crazy. I’m not really interested in re-litigating any of it with anyone, though. Nothing good ever comes from that.
So the position of a sceptic is epistemologically valid: you distrust any claim that is under, say, 95% certainty. But this bar should be applied consistently, and sometimes you have to bet. For example, in the question of getting a vaccine or not, you must choose, and you should choose whatever claim is more likely to get a better result than the other.
The key is that distrusting one side or source does not logically entail trusting another source more. If you think that the media or medical establishment is wrong, say, 45% of the time, you still have to find a source of information that is only wrong 40% of the time to prefer it.
The problem isn't "The NYT is wrong 5% of the time". It's that institutions are systematically wrong in predictable ways that happen to benefit their point of view. It's not random. It's planned.
But that source X is wrong - intentionally or not, in a biased way or not - does not entail that you should trust source Y. That just doesn't follow. To prefer an alternative source you must find one that is more trustworthy.
The problem is that often we have to choose because decisions are binary: either we get a vaccine or not. For example, to decide not to get a vaccine, the belief that the medical establishment are lying liars is just not enough. We must also believe that the anti-vaxxers are more knowledgeable and trustworthy than the medical establishment. Doctors could be lying 60% of the time and still be more likely to be right than, say, RFK. It's not enough to only look at one side; we have to compare two claims against each other. For the best outcome, you have to believe someone who's wrong 80% of the time over someone who's wrong 90% of the time. Even if you believe in a systemic, non-random bias, that doesn't help you unless you have a more reliable source of information.
And this is exactly the inconsistent epistemology that we see all around us: People reject one source of information by some metric they devise for themselves and then accept another source that fails on that metric even more.