Project Veritas, a non-profit conspiracy theory outlet, today dropped the ‘bombshell’ that it’d obtained hundreds of leaked internal documents from a whistle-blower showing Google‘s bias against Conservatives. Unfortunately, as is almost always the case with Project Veritas, the claims are crap.

As TNW’s Ravie Lakshmanan pointed out, the documents are probably authentic. I’ve pored over every single one in the document dump on Project Veritas’ website and it’s my opinion that almost all of them appear completely legitimate – the exception being screenshots of a Google employee’s Twitter and Facebook accounts, which I’m guessing were taken by the ‘whistle-blower,’ as opposed to being official company documents.

Why am I so sure these are real? Because, aside from personal information of dozens of Google employees, none of it matters. There’s nothing in any of these documents that even the most obtuse technology journalist doesn’t already know. In fact, I’d go a step further and say that this data-dump actually makes Google look really good.

I’m intentionally not using the name of the whistle-blower or the names of the conspiracy peddlers at Project Veritas because the source of the information doesn’t matter; I don’t care about the messenger if the message is true. And in this case the message is that Google has diversity training, holds lectures and training on bias in machine learning, and thinks Breitbart and Infowars peddle in hate speech and fake news.

Here’s the TL;DR: It’s almost certain that this is just everything the whistle blower could find by doing a quick search on the employee share drive for “inclusion,” “diversity,” and “bias.” It’s almost all just Power Point slides and papers — the kind you see at your own weekly corporate meetings. You’ll find more shocking information on Google by visiting its official blog. This, in my opinion, is nothing more than Project Veritas disguising an effort to dox Google employees as “a leak.”

Here’s the breakdown of every file Project Veritas has made available (note, in instances of text documents over one page long I’ve selected a screenshot indicative of the documents contents):