Earlier quoted context omitted.
Your comment above is wrong. Sorry, let me try to explain again. Let's put the whole fact that random bugs != stochastic modelling to one side. I don't quite understand why this is so hard to understand but, let's shelve it for a moment. ICL likes to claim their model is stochastic. Unfortunately that's just one of many things they said that turned out to be untrue. The Ferguson model isn't stochastic. They claim it…
I took a look at point 3. and that extract from the code check is correct. Assuming they did one realisation I was curious why. It would be unlikely to be an oversight. Luckily they published their reasoning on the number of realisations in the supplementary materials of a prior paper cited in report 9 (citation 5): https://www.nature.com/articles/nature04795#MOESM28 "Numbers of realisations & computational resources…
The team's claim that you only need to run it once because the variability was well characterized in the past is also nonsense. They were constantly changing the model. Even if they thought they understood the variance in the output in the past (which they didn't), it was invalidated the moment they changed the model to reflect new data and ideas.
Look, you're trying to justify this without seeming to realize that this is Hacker News. It's a site read mostly by programmers. This team demanded and got incredibly destructive policies on the back of this model, which is garbage. It's the sort of code quality that got Toyota found guilty in court of severe negligence. The fact that academics apparently struggle to understand how serious this is, is by far a faster and better creator of anti-science narratives than anything any blogger could ever write.