How does that contradict what I said in the slightest? Here's the quote when it's not pulled out of context to distort its meaning[1]:
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> Singhal: And based on that, we basically formed some definition of what could be considered low quality. In addition, we launched the Chrome Site Blocker [allowing users to specify sites they wanted blocked from their search results] earlier , and we didn’t use that data in this change. However, we compared and it was 84 percent overlap [between sites downloaded by the Chrome blocker and downgraded by the update]. So that said that we were in the right direction.
> Wired.com: But how do you implement that algorithmically?
> Cutts: I think you look for signals that recreate that same intuition, that same experience that you have as an engineer and that users have. Whenever we look at the most blocked sites, it did match our intuition and experience, but the key is, you also have your experience of the sorts of sites that are going to be adding value for users versus not adding value for users. And we actually came up with a classifier to say, okay, IRS or Wikipedia or New York Times is over on this side, and the low-quality sites are over on this side. And you can really see mathematical reasons …
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Cutts was using IRS/Wikipedia/NYT as stand-ins for "sources people trust", not "sources of high quality by some magical objective standard that Google decides contra their users". Ultimately, their classifier is validated against what users blocked as low quality sites, since there's no grounding for quality that doesn't come from users.
Hell, the quote you're pulling doesn't even make sense in the context of the exact example we're talking about! A lot of people would find a big newspaper like the NYT at the pinnacle of trustworthiness for factual content, more so than something like NBER or PLOS (where you can find the actual papers that NYT occasionally reports on, often not very well).
[1] https://www.wired.com/2011/03/the-panda-that-hates-farms/