与布兰多利定律的斗争:通过抽样 (Or, slightly more natural sounding:) 对抗布兰多利定律:利用抽样
Fighting Brandolini's Law with Sampling

原始链接: https://brady.fyi/fact-checking/

## 衡量政治不诚实 布雷迪·赫尔伯特(Brady Hurlburt)针对人们常以“反正他们都这样”来 Dismiss 政治谎言的观点,指出政客说谎的频率明显不同。受到安吉·德罗布尼克·霍兰(Angi Drobnic Holan)利用 PolitiFact 数据的工作启发,赫尔伯特寻求一种量化不诚实的方法,超越单纯追踪事实核查——承认这种方法本身存在抽样偏差。 他建议对*整个*演讲进行详尽的事实核查,逐句进行,以确定“说谎率”,并绕过持续事实核查的巨大任务(承认布兰多利尼定律——即反驳虚假信息所需的工作量不成比例)。 作为演示,赫尔伯特分析了罗伯特·F·肯尼迪(RFK Jr.)和皮特·布蒂吉格(Pete Buttigieg)的演讲。 他的研究结果显示存在显著差异:RFK Jr. 的演讲中大约 60% 的陈述包含虚假信息,平均每五分钟超过八次谎言,而布蒂吉格的演讲则准确得多。 赫尔伯特得出结论,确定这些比率能够对未来的声明进行知情评估,超越对政治不诚实的笼统接受,并认识到个体之间存在的有意义差异。

这个 Hacker News 讨论围绕一篇博客文章(brady.fyi)展开,该文章试图量化政治上的不诚实,以及“事实核查”固有的困难。其核心论点是,由于直接获取“真相”是不可能的,持续检查信息在*内部*和*外部*的一致性是我们可以做到的最好方法。 许多评论者指出依赖像 Politifact 这样的事实核查机构的缺陷,并注意到潜在的偏见以及验证引用的来源的问题——这正是原作者 (OP) 在其工作中的一个重要部分。 还有人强调,仅仅*通过*事实核查并不能保证真实性,因为声明可能是偶然正确的,或者基于有缺陷但被引用的研究。 一个关键主题是布兰多利尼定律——辟谣信息所需的工作量与制造信息相比不成比例。 评论者认为,努力创建一个完全“无偏见”的事实核查机构是徒劳的,而专注于容易验证的声明可能会忽略更隐蔽的欺骗形式。 讨论还涉及了在评估不诚实时统计分析的局限性,以及考虑陈述的*影响*,而不仅仅是其事实准确性的重要性。
相关文章

原文

Brady Hurlburt - July 8, 2025

“But Don’t All Politicians Lie?”

In 2015, Angi Drobnic Holan published a wonderful article titled “All Politicians Lie. Some Lie More Than Others.” In it, she makes the case that while all politicians lie, there are meaningful differences in how often and how severely they do so.

Here is the graphic from her piece:

Holan's analysis of PolitiFact lyting rates from her NYT article

Her article resonates with me because indifference to political dishonesty is surprisingly common in my circles. In conversations with my peers, when I call out a politician’s lie, I’m sometimes met with “Yeah, but politicians on both sides lie.” I thought that Holan’s methods could help me argue that not every politician lies to the same degree.

To measure how much a given politician lies, Holan tallied the results of PolitiFact’s fact checks for that person between 2007 and 2015. The obvious weakness of this approach is that the samples for each politician might not be equally representative. For example, perhaps Ben Carson has a higher rate of lying than Marco Rubio because PolitiFact simply scrutinized him more closely. If Politifact kept searching, isn’t it possible that they might find more Rubio lies? Holan addresses this directly:

We don’t check absolutely everything a candidate says, but focus on what catches our eye as significant, newsworthy or potentially influential. Our ratings are also not intended to be statistically representative but to show trends over time.

This is not a criticsm of PolitiFact’s methods: they choose to invest their time checking politicians’ most important and noteworthy claims. But to compare two politicians’ lying, I need a different strategy.

Brandolini’s Law

I want to know: How often does each politician lie? But how can I possibly answer that question? PolitiFact’s haphazard sampling won’t work for me. But short of mic’ing every politician and hiring a small army of fact-checkers to verify every word, what else could I do?

What we’re fighting is Brandolini’s Law:

The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.

Every week there’s a new press conference, a new podcast appearance, a hundred new tweets. It would be impossible to fact-check everything.

So let’s revist sampling but take a different approach.

Sampling

We’ve established that it would be impossible to continually check every claim that a politician makes. However, if we properly evaluate a sample, maybe we don’t need to.

Let’s use an entire speech as a sample and fact-check every declarative sentence.

Investing the time to exhaustively fact-check a lengthy sample of text allows us to establish a rate of lying. Once we have this, we can allow ourselves to detach from the firehose of new content.

The goal is that my next conversation on this topic goes something like this:

Q: “Did you listen to so-and-so’s new podcast episode?” A: “No, but his last one was 60% lies, so I don’t feel the need to.”

RFK Jr. and Pete Buttigieg

To demonstrate this, I fact-checked two speeches: one from RFK Jr. about autism rates and one from Pete Buttigieg about railway safety. They are both official press conferences from cabinet secretaries.

I went through the transcripts of both speeches sentence by sentence. I marked each factual claim, evaluated it, and labeled it as true, false, or misleading:

Example fact check document

You can read my annotated transcripts of RFK Jr.’s and Buttigieg’s speeches.

The graphics below show the results. The graphic shows the duration of the speech from left to right. Red and yellow bars indicate false claims; blue bars indicate true claims.

This graphic represents RFK Jr.’s speech on autism rates on April 16, 2025.

Results of the fact check on RFK Jr's speech

This graphic represents Pete Buttigieg’s speech on railway safety on April 2, 2024.

Results of the fact check on RFK Jr's speech

Conclusion

On average, when RFK Jr. speaks, he tells more than eight lies every five minutes. On average, almost 60% of his claims are false. I cannot continually fact-check every new thing he says, but I can reference these rates when considering new claims he makes.

And is this the same for every other politician? No. You can see in this example that RFK Jr.’s rate of lying is meaningfully different than Pete Buttigieg’s.

FAQ

Don’t you still have a sampling problem? Couldn’t you have just picked a speech where RFK Jr. lied a lot?

Both of these speeches were given behind the seal of the White House. There’s no reason to think they do not represent the best these politicians have to offer.

What sort of lies were these?

RFK Jr.’s falsehoods were:

  • Referencing tables in scientific papers that were irrelevant to his claim
  • Citing the wrong numbers from scientific papers
  • Misrepresenting the conclusions of the papers he referenced
  • Citing retracted papers

Buttigieg’s falsehoods were:

  • Exaggerating (saying “tens of thousands” when the number was 13,000)
  • Making a broad, unverifiable claim about historic trends
  • Using the term “99%” too casually

Did AI do the fact checking?

No. I did it myself, and it took a long time. However, by doing this properly once, I don’t need to do it continually.

I did occasionally use ChatGPT as a search engine while fact-checking.

Aren’t you just nitpicking? Even if there are falsehoods in individual sentences, couldn’t the overall argument still be true?

That’s up to you to decide, and it’s easier to decide when you know whether the individual sentences are true.

If you’re looking for a rebuttal to RFK Jr.’s argument, PBS did a great job.

Where can I learn more about this?

Check out this paper on the effects of summary of fact-checks.

联系我们 contact @ memedata.com