You really are hilarious. The only money I receive is super and old age pension.
So you rely on experts? LikeTom Karl? The one who put out the Karl
et al (2015) paper? The one that had a self-admitted statistical significance of 0.1?
I'll put it here again.
'Boldface indicates trends that are significant at the 0.10 significance level. An asterisk notes that the trend is significant at the 0.10 level based on the uncertainty in the trend estimate using the IPCC methodology only. '
http://www.sciencemag.org/content/suppl/2015/06/03/science.aaa5632.DC1/Karl-SM.p...You will notice this from from the published source Science Mag. A peer-reviewed magazine and the paper is also peer-reviewed.
Notes on statistical significance or
p value-
' A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis.
A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.
p-values very close to the cutoff (0.05) are considered to be marginal (could go either way). Always report the p-value so your readers can draw their own conclusions.'
http://www.dummies.com/how-to/content/what-a-pvalue-tells-you-about-statistical-...or perhaps something more your speed -
'To determine whether a result is statistically significant, a researcher would have to calculate a p-value, which is the probability of observing an effect given that the null hypothesis is true.[7] The null hypothesis is rejected if the p-value is less than the significance or α level. The α level is the probability of rejecting the null hypothesis given that it is true (type I error) and is most often set at 0.05 (5%). If the α level is 0.05, then the conditional probability of a type I error, given that the null hypothesis is true, is 5%.[22]
Then a statistically significant result is one in which the observed p-value is less than 5%, which is formally written as p < 0.05.[22]'
https://en.wikipedia.org/wiki/Statistical_significance0.1 is twice the size of 0.05
Now Tom Karl is supposed to be a climate scientist, however he is no expert on statistics.
The Karl
et al paper is now being used to adjust once again both NOOA and NASA temperatures.
This is one of the experts on which you rely.
As I said- I have the ability to read and comprehend.
Do you comprehend what I have written? What is your view of the Karl
et al (2015) paper?
Don't hold back now.