Your posts are quite confusing, do you realize that? I started a reply asking if you had mixed up different locations in the thread, because it seemed like none of the stuff you were writing was connected with the topic or people being discussed. Now I look carefully you seem to have gone off on a tangent and started replying, without any setup or intro, to random other parts of the linked articles, instead of treating them as a citation for the claims being made and sticking to that. I was like, Anthony Watts? Huh? Why is he suddenly appearing? What report? What are you talking about? Going back it seems you've picked a fight with paragraph 9 in the second link when the relevant information for answering your query is in paragraph 1?!

We can discuss other unrelated stuff, that's fine. But please accede first to these three requests:

1. Let's resolve the RAF Coningsby discussion before moving on. You appear to have mis-read the initial claim and then decided it didn't make sense and asked for sources. You now have the evidence. As you don't mention RAF Coningsby or the record breaking temperature in your reply, is it OK to assume you accept that evidence and thus that this reporting problem is real and did in fact occur as stated?

2. Please make it clear what the heck you're actually replying to! Quotes would avoid a lot of confusion here. Remember that some of these articles came out a year ago and I dug them up to satisfy your request for sources, I don't remember every single sentence in them by heart.

3. Finally, please cut out the attempts at philosophical lessons. You seem to be a climatologist, from your posts saying "we" when talking about that group? If so then that's a small community and one with a poor track record of accepting when its theories and evidence have been successfully knocked down by others. Before lecturing others about epistemic humility and truth seeking you may wish to take on Mann and other famous grifters that clutter up the scientific landscape, before random internet commenters of no note or impact.

Moving on.

> If you know the direction it is biased, you can unbias it. Processing data is pretty common. I mean we aren't fucking idiots. If you can figure out an issue in 2 seconds, you bet it has been addressed.

If you know the direction and magnitude of the bias, which the Met Office clearly do not, and if the bias is constant and well characterized, etc. That's important! As you seem to have accepted by choosing to debate something different, climatological agencies are happy to report momentary blasts of jet exhaust as evidence of climate change. That's an issue that literally anyone can figure out in two seconds the moment they discover the thermometer isn't in the village as claimed, but rather right next to a place jet fighters take off, and yet, unambiguously, the Met Office had not figured this out. They even claimed they'd used a rigorous verification process!

So please forgive us if we assume that you guys are in fact not addressing issues that any "fucking idiot" can spot in two seconds, because this would seem to be one of them.

More generally, your field's attitude to data quality is guaranteed to create train wrecks like this. If your data is poor quality you often won't know how to characterize the corruption, which is exactly why good scientists obsess over how to collect data with high quality instruments and setups in the first place. They don't just scrape whatever data they find on the internet and then assume with 100% confidence that 100% of the measurement error both can be well characterized and actually will be. That's an absurd methodology that is guaranteed to lead to continuous disasters like this, as well as the entirely reasonable lack of trust when people discover that you constantly rewrite the historical record. You guys can't even change the data once, you keep doing it, meaning that the vast majority of the climate literature is based on measurements you later decided were wrong! Most of the climate literature should have been retracted by now! This is inevitable when you can't reliably characterize measurement error. Thermometers aren't advanced tech and it's easy to build networks to a standard that satisfies even critics so why do you persist in "fixing" and then constantly "refixing" corrupted data sets?