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Science and statistics are based on a confidence interval. The "Null Hypothesis" is the opposite of the hypothesis. It is often easier to consider disproving the null hypothesis than proving the hypothesis (to a certain confidence interval).

Science experiments often have a very narrow scope. But, if one wishes to apply the conclusions to a wider scope, then one should look for new and unique ways to test or challenge the hypothesis.

Perhaps that is where the "Global Warming" hypothesis has gone astray. Whether or not we are at a "local high" for the Holocene epoch, one doesn't have to look far into Earth's 4.5 billion year history to find both higher and lower temperatures on the planet. And, we have little direct data to show how a potential average temperature increase of a half a degree or so would affect the rain and water distribution around the planet. Again, historical and fossil records are often being ignored in favor of simplified computer algorithms.

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