For the past five years I have been using data from the CRU Climate Research Unit in East Anglia England. The data reaches back to 1850 and is posted monthly from around the world. This is the same data used by the UN Global warming scientists and nearly everyone else who is in this field. I have been a strong advocate of using data to come to conclusions about global warming. The conclusion I came to was that there was a modest warming between 1975 and 1995, but none for the previous 120 years and none for the 14 years since then.
Let me make a separate but relevant statement, based on 50 years of doing statistical and survey research and being a court certified expert witness in survey research: if you can't see the raw data, it is phony. I'll stand by that statement with a loaded gun to my head.
Now, put my three previous paragraphs together and you'll see what has made me apologize to you. The people who run CRU not only refuse to make their raw data public for examination, but they publicly admit that much of it is lost.
I can only draw one conclusion: there is not now and never was a global warming period. The whole thing is a fabricated lie.
Once again, I apologize for ever having sent my readers to a website that is completely phony.
P.S The other data about global temperature, from satellites since 1977 and from the ocean since 2000, do not support the CRU data. If you read this paragraph from the CRU website you will know these people are lying, lying, lying. No honest person ever wrote anything like this (pure obfuscation):
"Why are values slightly different when I download an updated file a year later?"
All the files on this page (except Absolute) will be updated on a monthly basis to include the latest month within about four weeks of its completion. Updating includes not just data for the last month but the addition of any late reports for up to approximately the last two years. In addition to this the method of variance adjustment (used for CRUTEM3v and HadCRUT3v) works on the anomalous temperatures relative to the underlying trend on an approximate 30-year timescale. Estimating this trend requires estimation of grid-box temperatures for years before the start of each record and after the end. With the addition of subsequent years, the underlying trend will alter slightly, changing the variance-adjusted values. Effects will be greatest on the last year of the record, but an influence can be evident for the last three to four years. Full details of the variance adjustment procedure are given in Jones et al. (2001). Approximately yearly, the optimally averaged values will also be updated to take account of such additional past information"