You backed away from the first one, saying “I just informed recently that it was too simple and ignores other factors”. You backed away from the second almost as quickly as you could give it, explaining that “the warming could just be going to a different location” such that “a falsification of the effects of AGW on surface temperatures does not mean that we can exhale a sigh of relief”.
So if your first test is passed, you’ve already got the “it was too simple and ignores other factors” excuse ready to go; a more complex explanation involving other factors could be involved. And if your second test is passed, you’ve already got the “warming could just be going to different location” excuse ready to go, since it only falsifies the effects of AGW on surface temperature.
On your terms, I can’t exhale a sigh of relief even if both criteria play out; your prediction will remain in place even through the worst-case scenario. What’s the analogy to Randi? A dowser who succeeds either time is genuine, but one who fails both times stays in the game?
I loved your first criterion and asked no questions until you moved the goalposts. I provisionally loved your second criterion, but explicitly spelled out a specific rider: I was waiting to hear your responses to Bricker’s follow-up; they didn’t arrive. I’m thus still waiting to hear what could hypothetically happen to falsify your claims about warming: not that a lack of warming for a certain number of years is too simple a test because it ignores other factors, not that a decline in one location doesn’t rule out warming in another location, but a prediction that can be falsified across the board.
[QUOTE=elucidator]
My understanding is that the “falsifiable” standard is desireable, but not mandatory. If you got your theory out there, and it passes the falsifiable test, you can stop having that terrible dream where some smart-ass grad student murders your beautiful hypothesis with an ugly fact. And you wake up screaming.
Not everything in science lends itself to such a standard, and very complex systems are resistant, by their very nature. At any rate, the impression that seems to be offered is so long as the falsifiability standard is not met, it isn’t science. I think that is a wild exageration.
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No, not everything in science lends itself to such a standard. No, it’s not always mandatory. But this is a case where predictions are being made about future warming; I’m merely asking for specificity about those predictions. If someone predicts, say, “a significant amount of warming in the long term”, then surely I can ask what that person means by “significant” and “long term”? (Alternatively, if a given amount of cooling is dismissed as (a) too small a change in temperature over (b) too short an amount of time, then surely it’s fair to ask what amount would suffice? Isn’t it implied just by mentioning the insufficiency?)