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Looks like the climate police don't appreciate your objection. Figures.
by guscost 14y ago
Looks like the climate police don't appreciate your objection. Figures.
- drivebyacct2 14y agoDon't you understand that it's silly to characterize global warming science like that, and even worse that it makes you look ignorant and dismissive when you do that?
- guscost 14y agoDon't you realize how reprehensible it is to exploit fear after a natural disaster for political gain? The article alludes to Sandy in the first sentence even though nobody (except Bloomberg) is saying that global warming is to blame. What I see is disaster-chasing nonsense intended to manipulate energy policy. There is nothing scientific (falsifiable) about this argument, and you seem plenty ignorant and dismissive to me.
- drivebyacct2 14y agoYour posts in this thread are blanket dismissals of any science or person supporting global warming. You offer no counter position and you resort to accusations and name calling - I'm a zealot for a simple mention of the volume of global warming evidence.
- guscost 14y agoWe're both zealots, but at least I'm not trying to spend your money on a problem that only exists if you believe me: http://www.msnbc.msn.com/id/49751113/ns/us_news-environment/#.UJyR0vOe9BU http://www.msnbc.msn.com/id/49751113/ns/us_news-environment/... Disregard if you're not American.
- IanDrake 14y agoSorry if this gets lengthy: Models predicting GW are completely unproven. The fact that any number of models say the earth will warm is not further proof that these models are correct. I have witnessed attempts to model some really complicated activity. This is typically done with massive amounts of data, we're talking millions of precise observations per day. These models are back tested with decades of daily data available. Most importantly, almost all of these models fail to produce and accurate prediction of the future. Now, these climate scientists, with models that are based on mostly extrapolated data, want me to believe that their models accurately predict the future. To prove it we just have to wait 50 years to see if their predictions come true... Along the way, they seem to take every opportunity to use current events as further evidence that their models are correct. If there's a hurricane, then it's GW, if there's an earthquake[1] it's global warming, if it's a cold winter[2] it's global warming. As if none of these things happened before we started burning coal and oil. Here is how the models can be proved correct though: Produce a single, completely objective method for measuring the earth's temperature using the exact same hardware, locations, and environments. No recalibrations, no changes to the equipment or its environment at all. Then take the current measurement, use their models to predict the next 10 years, use the exact same hardware to recalculate that measurement every year for the next 10 years. Then we'll really see how good these models are. [1] http://news.nationalgeographic.com/news/bigphotos/15972840.html http://news.nationalgeographic.com/news/bigphotos/15972840.h... [2] http://www.dailymail.co.uk/sciencetech/article-1341388/Global-warming-Britain-longer-colder-winters-melting-sea-ice-plays-havoc-weather-patterns.html http://www.dailymail.co.uk/sciencetech/article-1341388/Globa...
- msellout 14y agoI think science likes to move faster than that. What does "completely objective" even mean? That's like saying you want something in real time or with no bugs. It's all evidence, not proof. We just keep moving from prior beliefs to posterior beliefs.
- IanDrake 14y agoBy that I mean, there is no measurement cherry picking. No "data cleaning" functions to reduce "noise". The measurement would have to use all observations as they were observed by the same exact hardware in the same environment day after day. From this dataset the measurement function can interpolate or extrapolate how ever much it wants, but it must use the same algorithm year after year.