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Climate change denier myth 02: We cannot predict all weather events a day or two out, so we cannot possibly predict climate. Climate = weather
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2017 Mar 29, 6:24am 13,069 views 43 comments
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FNWGMOBDVZXDNW
2017 Mar 29, 12:54pm
I completely agree with the general notion that people have no idea how things are made and how pollution has been shifted from the US to other countries.
Shaman
2017 Mar 29, 1:16pm
Apparently most researchers also have either no idea how to actually DO science or no interest in actually doing so in an ethical way.
If your only God is Science, their her priesthood are a bunch of heathen frauds! Apparently they, and especially climate scientists, are hucksters of the lowest sort.
If we can't believe the "science" about climate research because it is poorly done or flat out fraudulent, why should we enact policy based on it?
FNWGMOBDVZXDNW
2017 Mar 29, 2:03pm
Apparently most researchers also have either no idea how to actually DO scien
Yes, all scientist are fWaPoIsHitler Lipsovitch says
YesYNot - how about this limitation? The vast majority of water use in California is agra, despite constant misleading PR Campaigns to convince people to shorten showers and save water on the individual consumer level. A
Yeah, I'm aware of the issue. It's not just CA, either. The aquifer I would worry about more than that is in the Ogallala in the midwest. It doesn't get as much publicity as CA due to the drought and general desert conditions in part of the state. Beef and other industrial meats are the biggest culprits.
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Here is another stupid myth. Anyone who pushes this argument simply needs to go back to school and study math and statistics.
Weather describes very specific conditions at a particular point in space and time. Very specific events in nonlinear systems are chaotic and hard to predict. Climate describes average weather conditions over a longer period of time. This is much much easier to predict.
Examples:
1) No one can predict what is going to be happening at the corner of 42nd and 5th avenue at 11:45 this morning. Nobody knows whether there will be cars or people in the intersection or what color the car will be. This information is too specific and hard to predict. On the other hand, people can estimate how many cars will pass through the intersection on a given day, and could even predict with some reasonable amount of uncertainty how many Hondas there were or how many white cars. The more specific you want the information, the harder it is to predict accurately.
2) Continuing with our 42nd and 5th Ave. example, it is hard to predict when the next accident will be. Nobody can do that. OTOH, if we make the question less specific and ask how many car accidents there will be in the US during 2017, it is much easier to predict. If we limit our question to how many deaths there will be, that is even easier, because the data are widely reported.
In both of these examples, you can easily see why it is hard to predict the very specific events in highly non-linear chaotic systems. On the other hand, when we look at the more broad picture, averaging over time and space, we can easily see that it gets much easier to make predictions.
#climatedeniermyths
If you keep claiming that predicting climate is just as hard as predicting weather, we cannot proceed to have any meaningful conversation. You just make yourself look like an idiot or a liar.