“The Reader Leaderboard is not a total win from a particular point of view,” Mr. Silverman wrote.

Mr. Facebook’s chief marketing ultra-fisher, Schultz, has a vague view of Crowdtangle. He wrote that he thinks “the only way to avoid such stories” would be for Facebook to publish its own reports on the most popular content on its platform, rather than through CrowdTangle.

“If we just go on the path of providing more self-service data, you will find different, provocative and negative stories in my opinion,” he wrote.

Mr. Osborne, added Facebook, said Mr. Schultz and other officials were discussing how to correct the misrepresentation of crowdtangle data, not the strategy of cutting the tool.

A few days after the election in November, Mr. Schultz wrote a post for the company blog, entitled “What do people in the US really see on Facebook?” He explained that if you get the most engagement based on Facebook posts, based on which most engagement – rather than their preferred method of cutting data – you end up with a more mainstream, less intense biased list of resources.

“We believe this will paint a more complete picture than the crowdtangle data alone,” he wrote.

That may be true, but there is a problem with access data: most of them are accessible inac and cannot be tested or fact-checked by outsiders. We just have to believe that Facebook’s own, private data tells a story that is very different from the data it shares with people.

Mr. Zuckerberg is right about one thing: Facebook is not a huge right-wing echo chamber.

But it does includes A giant right-wing echo chamber – a type of AMTC radio built into the heart of Facebook’s news ecosystem, with a hyper-engaged audience of loyalists who like, share and click on right-page posts, many of which Facebook-optimized optimized aggression on continuous clip has gotten better for serving.

CrowdTangle’s data made this eco chamber much easier for outsiders to see and certify. But it didn’t make it, or provide the tools it needed to develop it – Facebook did – and blaming the data tool for this revelation doesn’t make more sense than blaming the thermometer for bad weather.