Reply To: Take Back Control

[Bucksiron]

Good try, Siderite, but you’ll find that the video to which you’ve referred “debunking Christy” has, itself, been debunked. This is the problem with climate science, it’s unbelievably complex and we simply don’t understand enough about the myriad of variables involved to say otherwise.

The rest of your comment is just the usual stuff supposedly ‘justifying’ what you’re saying. It all sounds very clever and convincing while, of course, you hurl all the usual accusations in my direction, ignoring all your comments, ‘cherry picking’ data, etc, etc, etc. Apparently I’ve even ignored a paper posted by you demonstrating a statistically significant relationship between CO2 and temperature rise, when anyone who knows anything about basic statistics knows there will ALWAYS be a statistically significant relationship between two variables trending in the same direction (caps for emphasis).

So of course there’s a statistically significant relationship between CO2 and temperature. It’s the biggest trap anyone can fall into and is the very reason behind the famous saying that “correlation does not mean causation”. There will be a statistically significant relationship between CO2, temperature and the number of nappies used in the UK or, indeed, any-other-variable-you-care-to-mention that’s increased over the past 100 years or so!!!!!! It means absolutely zip. Oh, and even climate scientists accept the models all run hot while claiming they’re “not far off” depends entirely by how you define ‘far off’. They’re certainly nowhere near good enough for the crazy predictions being made, which won’t surprise anyone who truly understands how these things work. They can’t even agree with each other.

Anyway, given you’re not going to make any further comments, Siderite, I’ll leave you with one thought, which is the impact of clouds. There’s a growing body of evidence that clouds play an even bigger role in global temperatures than has previously been understood or recognised. One reason for this is that clouds are notoriously difficult to model, in fact probably impossible to do with any level of accuracy. I know this from personal experience while working on British Gas’s computer model for thermal dynamics when I was based at BG’s Watson House R&D centre after I left university in the early 1980s — not sure I’ve ever mentioned this before, so now’s a good time to do so (the usual suspects will probably claim I’m making this up).

Clouds are just one very difficult problem. There are many others.