Email Subscribe
Disrupting the Borg is expensive and time consuming!
-
Recent Posts
Recent Comments
- rah on Virginia Democrat Loses Wyoming Republican Primary
- Gordon Vigurs on Greens Invent Wind Powered Ship
- Stuart Hamish on That Didn’t Take Long
- Robert L Gipson on Journalism Runs Even Drier
- Jack the Insider on That Didn’t Take Long
Archives
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- March 2015
- January 2015
42% of the data for 2020 was generated by a model!
Wow, Tony—– thank you for exposing this.
That is criminal
Yeah that is phenomenal. 42% of current temperature station data is faked. Now I’m wondering why they removed those stations to begin with. Was it to give them the path to fake data? They speak with forked tongue. They say the old timers didn’t know what they were doing and screwed up the data by resetting the thermometer at the high temperature point in the day. Looks like they are digging really hard to find an excuse to modify the data. Then they say that the modern stations, were also run by nincompoops and also have to be adjusted, but in the opposite direction. That’s really odd, because one would expect nincompoopism to be random walk, not always in the same direction at the same time, which could only be planned misdirection-which is more like what their adjustments are.
Also: around 3:20 mark, you show the daily temperature graph, and a monthly temperature graph. I’m guessing that the monthly chart is a rolling 30 day average.
What surprised me is that the 30 month isn’t smoothed a lot more vis a vis the daily chart.
Good reporting Anthony, thanks
Yes, criminal indeed! But sadly I fear they are going to get away with it. If the general public is too stupid to be able to grasp simple math, physics and logic – then the fraud may succeed.
If it’s any indication of how stupid the troupes of talking monkeys are – it’s how many are dutifully putting masks back on with that other incredible fraud being peddled about the fake pandemic. An even larger fraud than the climate hype is being perpetrated with the plandemic bull schist.
As one example they stopped recording how many persons that are fully “vaccinated” (it’s not a vaccine) are getting the disease a month or two ago, so now they can say “only those who are unvaccinated are getting covid”, when in fact places that continued to record their vax status show the majority getting the virus now have been fully vaccinated. (ergo either the vaccine doesn’t work, or it makes the wild virus worse as was predicted by many experts who’ve been silenced by the media mob)
We’re in for some seriously bad times with the Alice in Wonderland mentality of these massive frauds and literal crimes against humanity.
Saul Alinsky (Obama and Hillary) tactics all the way – demonize the messenger.
A third of the population wants to be fooled, another third doesn’t know or care if they are being fooled, and the last third is demonized as deplorable conspiracy theorists.
Back in the 1970s we used to say, “it’s not paranoia if they really are out to get you.” Similarly, it is not a conspiracy theory if they really are conspiring to falsify data.
There is absolutely no excuse to “adjust” data. It is criminal in the extreme! In engineering it might be acceptable, or even advisable, to “normalize” data. For example, in characterizing the performance of engines like Otto cycle or gas turbines, power and efficiency vary with inlet temperature and pressure, so it is common to normalize performance to account for different operating conditions. An engine on a hot day in Denver will produce less power than the exact same engine on a cold day at sea level. Based on theory, collaborated empirically, this kind of “normalization” is done routinely. It is important that the algorithms used for normalization and their basis be well understood by everyone in the community. Anyone analyzing the raw data should be able to normalize performance and get the same results.
For long-term temperature data, there are only three things that I can think of that should legitimately be “normalized,” (1) latitude, (2) elevation, and (3) urban heat island. The first two should be relatively straightforward. One could empirically determine how temperatures vary by latitude, or elevation, and then adjust the temperature up or down based on how the average latitude or elevation of the stations changed over time. The data would be normalized to an “average latitude”, for example, for the data set over the historical period. Normalization data fits could be done on a monthly or even daily basis. Whatever approach is used, anyone anywhere should be able to get the same normalized result.
The urban heat island normalization is conceptually more difficult, but might account for population density variations over time. Whatever approach is used, it needs to be such that anyone can get the same result. I doubt latitude, or especially elevation normalization, would have much effect. The urban heat island normalization might be significant, and no doubt in the wrong direction for the criminals at NASA and NOAA.