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If your model suddenly changes its predictions, you need to make 100% sure you know why and that is valid. Just imagine they would go public with this "Scienti
by turbinerneiter 7y ago
If your model suddenly changes its predictions, you need to make 100% sure you know why and that is valid.
Just imagine they would go public with this "Scientists found climate change is worse than previously thought with updated model" and then weeks later find an error in the changes made to the model "Scientists made mistakes, climate change less severe than previously thought".
What do you think would hurt their credibility more?
- hugh-avherald 7y agoWell this is the problem. People are reticient to make public a private finding that is different, because it is probably wrong and they'll probably lose credibility. But if everyone is doing that...
- turbinerneiter 7y agoThey are not reticent to make it public, they are publishing papers and are asking for peer review. There is a public newspaper article about it with quotes of the involved scientists. They couldn't be any more transparent about this. They are not throwing away their findings and they are not burying it. They are working to valdiate/invaldiate them, because they are scientists.