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Top AGW scientist: Global Warming in Last 15 Years Insignificant

Top AGW scientist: Global Warming in Last 15 Years Insignificant

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zeeblebot

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http://www.foxnews.com/scitech/2010/02/15/global-warming-insignificant-years-admits-uks-climate-scientist/

Updated February 15, 2010
Global Warming in Last 15 Years Insignificant, U.K.'s Top Climate Scientist Admits

FOXNews.com

The embattled ex-head of the research center at the heart of the Climate-gate scandal dropped a bombshell over the weekend, admitting in an interview with the BBC that there has been no global warming over the past 15 years.

Phil Jones, former head of the Climatic Research Unit (CRU) of the University of East Anglia, made a number of eye-popping statements to the BBC's climate reporter on Sunday. Data from CRU, where Jones was the chief scientist, is key evidence behind the claim that the growth of cities (which are warmer than countryside) isn't a factor in global warming and was cited by the U.N.'s climate science body to bolster statements about rapid global warming in recent decades.

Jones's latest statements seemed to contradict the CRU's data.

In response to the question, "do you agree that from 1995 to the present there has been no statistically significant global warming?", Jones said yes, adding that the average increase of 0.12C per year over that time period "is quite close to the significance level. Achieving statistical significance in scientific terms is much more likely for longer periods, and much less likely for shorter periods."

Jones is nevertheless 100% confident that the climate has warmed, he stated, admitting that the Climate-gate scandal has undermined public confidence in science. The scandal has worn down Jones as well: Since the e-mails emerged -- and were subsequently posted online at www.EastAngliaEmails.com -- Jones has stepped down from his position, been forced to admit that he “misjudged” the handling of requests for information, and even acknowledged contemplating suicide.

Jones also allowed for the possibility that the world as a whole was warmer in medieval times than it is today -- a concession that may also undermine theories that global warming is caused by man.

...

zeeblebot

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😵

K

Germany

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Stopped reading after "Fox".

zeeblebot

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Originally posted by KazetNagorra
Stopped reading after "Fox".
Aren't you still counting the ergs it cost you to type that out?

M

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Originally posted by zeeblebot
http://www.foxnews.com/scitech/2010/02/15/global-warming-insignificant-years-admits-uks-climate-scientist/

Updated February 15, 2010
Global Warming in Last 15 Years Insignificant, U.K.'s Top Climate Scientist Admits

FOXNews.com

The embattled ex-head of the research center at the heart of the Climate-gate scandal dropped a bombshell over the weeke ...[text shortened]... ncession that may also undermine theories that global warming is caused by man.

...
http://en.wikipedia.org/wiki/Statistics

Significance
Statistics rarely give a simple Yes/No type answer to the question asked of them. Interpretation often comes down to the level of statistical significance applied to the numbers and often refer to the probability of a value accurately rejecting the null hypothesis (sometimes referred to as the p-value).

When interpreting an academic paper reference to the significance of a result when referring to the statistical significance does not necessarily mean that the overall result means anything in real world terms. (For example in a large study of a drug it may be shown that the drug has a statistically significant but very small beneficial effect such that the drug will be unlikely to help anyone given it in a noticeable way.)

sh76
Civis Americanus Sum

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Originally posted by KazetNagorra
Stopped reading after "Fox".
"The quick brown fox

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"The quick brown fox

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"The quick brown fox

...



No wonder you had trouble in those typing classes.

zeeblebot

silicon valley

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Originally posted by Melanerpes
http://en.wikipedia.org/wiki/Statistics

Significance
Statistics rarely give a simple Yes/No type answer to the question asked of them. Interpretation often comes down to the level of statistical significance applied to the numbers and often refer to the probability of a value accurately rejecting the null hypothesis (sometimes referred to as the p- ...[text shortened]... ial effect such that the drug will be unlikely to help anyone given it in a noticeable way.)
"not necessarily".

so how about in this case?

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