Those who knew a lot about dates and computerised systems and how the date impacted on their functionality knew long before Y2K that with some basic intervention much of the hype and much of it on the networks you alluded to overhyped in some cases ridiculously so and as I know a little about the subject matter having worked in IT in an insurance company throughout the 80's with a basic knowledge of programming knew it was overhyped.@mancity 1
RE thinking that KS55 is a denier - yeah, I think so. Maybe I'm wrong. I've allowed for this possibility in my latest post.
RE y2k - numerous experts in computer science facing a complete unknown with no evidence one way or another thought the worst and were dead wrong. Experts are sometimes wrong especially in such circumstances with little or nothing to go on.
Whereas climate change has been studied for decades, and over time, more and more sophisticated climate models have been developed with ever increasing fidelity to real-world outcomes. If anything, current models are a bit too reluctant to predict bad outcomes - although severe weather was predicted by current models, the actually occuring weather has been even more severe than predicted by most models.
There were many in IT and related and or impacted industries that knew it was overhyped and many took advantage of that so to speak.
Modelling for severe weather I suppose a noble cause and of some benefit to a range of industries and individuals throughout the world but like most models they rely on real data in smaller amounts of time scale.
Its not directly related of course but perhaps one should at least bear this in mind that the modelling for covid19 in the main has been woeful in terms of outcomes given the variable and unreliable intangible nature of humans and human activity and our knowledge of the virus itself and how it behaves.
So called experts in Australia for example were predicting that hard lockdowns would ensure little spread and no community transmission after 7 to 14 days even with the delta variant and failure to do so would result in tens of thousands of deaths in this country some predicting over 100k in death,
the weather you say well if you can tell me what it will be like in Melbourne in 30 days time for example I bow to your better judgment than mine.