PRESS RELEASE – U.S. Temperature trends show a spurious doubling due to NOAA station siting problems and post measurement adjustments.
Chico, CA July 29th, 2012 – 12 PM PDT – FOR IMMEDIATE RELEASE
A comparison and summary of trends is shown from the paper. Acceptably placed thermometers away from common urban influences read much cooler nationwide:
A reanalysis of U.S. surface station temperatures has been performed using the recently WMO-approved Siting Classification System devised by METEO-France’s Michel Leroy. The new siting classification more accurately characterizes the quality of the location in terms of monitoring long-term spatially representative surface temperature trends. The new analysis demonstrates that reported 1979-2008 U.S. temperature trends are spuriously doubled, with 92% of that over-estimation resulting from erroneous NOAA adjustments of well-sited stations upward. The paper is the first to use the updated siting system which addresses USHCN siting issues and data adjustments.
The new improved assessment, for the years 1979 to 2008, yields a trend of +0.155C per decade from the high quality sites, a +0.248 C per decade trend for poorly sited locations, and a trend of +0.309 C per decade after NOAA adjusts the data. This issue of station siting quality is expected to be an issue with respect to the monitoring of land surface temperature throughout the Global Historical Climate Network and in the BEST network.
Today, a new paper has been released that is the culmination of knowledge gleaned from five years of work by Anthony Watts and the many volunteers and contributors to the SurfaceStations project started in 2007.
This pre-publication draft paper, titled An area and distance weighted analysis of the impacts of station exposure on the U.S. Historical Climatology Network temperatures and temperature trends, is co-authored by Anthony Watts of California, Evan Jones of New York, Stephen McIntyre of Toronto, Canada, and Dr. John R. Christy from the Department of Atmospheric Science, University of Alabama, Huntsville, is to be submitted for publication.
The pre-release of this paper follows the practice embraced by Dr. Richard Muller, of the Berkeley Earth Surface Temperature project in a June 2011 interview with Scientific American’s Michael Lemonick in “Science Talk”, said:
I know that is prior to acceptance, but in the tradition that I grew up in (under Nobel Laureate Luis Alvarez) we always widely distributed “preprints” of papers prior to their publication or even submission. That guaranteed a much wider peer review than we obtained from mere referees.
The USHCN is one of the main metrics used to gauge the temperature changes in the United States. The first wide scale effort to address siting issues, Watts, (2009), a collated photographic survey, showed that approximately 90% of USHCN stations were compromised by encroachment of urbanity in the form of heat sinks and sources, such as concrete, asphalt, air conditioning system heat exchangers, roadways, airport tarmac, and other issues. This finding was backed up by an August 2011 U.S. General Accounting Office investigation and report titled: Climate Monitoring: NOAA Can Improve Management of the U.S. Historical Climatology Network
All three papers examining the station siting issue, using early data gathered by the SurfaceStations project, Menne et al (2010), authored by Dr. Matt Menne of NCDC, Fall et al, 2011, authored by Dr. Souleymane Fall of Tuskeegee University and co-authored by Anthony Watts, and Muller et al 2012, authored by Dr. Richard Muller of the University of California, Berkeley and founder of the Berkeley Earth Surface Temperature Project (BEST) were inconclusive in finding effects on temperature trends used to gauge the temperature change in the United States over the last century.
Lead author of the paper, Anthony Watts, commented:
“I fully accept the previous findings of these papers, including that of the Muller et al 2012 paper. These investigators found exactly what would be expected given the siting metadata they had. However, the Leroy 1999 site rating method employed to create the early metadata, and employed in the Fall et al 2011 paper I co-authored was incomplete, and didn’t properly quantify the effects.
The new rating method employed finds that station siting does indeed have a significant effect on temperature trends.”
Watts et al 2012 has employed a new methodology for station siting, pioneered by Michel Leroy of METEOFrance in 2010, in the paper Leroy 2010, and endorsed by the World Meteorological Organization (WMO) Commission for Instruments and Methods of Observation (CIMO-XV, 2010) Fifteenth session, in September 2010 as a WMO-ISO standard, making it suitable for reevaluating previous studies on the issue of station siting.
Previous papers all used a distance only rating system from Leroy 1999, to gauge the impact of heat sinks and sources near thermometers. Leroy 2010 shows that method to be effective for siting new stations, such as was done by NCDC adopting Leroy 1999 methods with their Climate Reference Network (CRN) in 2002 but ineffective at retroactive siting evaluation.
Leroy 2010 adds one simple but effective physical metric; surface area of the heat sinks/sources within the thermometer viewshed to quantify the total heat dissipation effect.
Using the new Leroy 2010 classification system on the older siting metadata used by Fall et al. (2011), Menne et al. (2010), and Muller et al. (2012), yields dramatically different results.
Using Leroy 2010 methods, the Watts et al 2012 paper, which studies several aspects of USHCN siting issues and data adjustments, concludes that:
These factors, combined with station siting issues, have led to a spurious doubling of U.S. mean temperature trends in the 30 year data period covered by the study from 1979 – 2008.
Other findings include, but are not limited to:
· Statistically significant differences between compliant and non-compliant stations exist, as well as urban and rural stations.
· Poorly sited station trends are adjusted sharply upward, and well sited stations are adjusted upward to match the already-adjusted poor stations.
· Well sited rural stations show a warming nearly three times greater after NOAA adjustment is applied.
· Urban sites warm more rapidly than semi-urban sites, which in turn warm more rapidly than rural sites.
· The raw data Tmean trend for well sited stations is 0.15°C per decade lower than adjusted Tmean trend for poorly sited stations.
· Airport USHCN stations show a significant differences in trends than other USHCN stations, and due to equipment issues and other problems, may not be representative stations for monitoring climate.
###
We will continue to investigate other issues related to bias and adjustments such as TOBs in future studies.
FILES:
This press release in PDF form: Watts_et_al 2012_PRESS RELEASE (PDF)
The paper in draft form: Watts-et-al_2012_discussion_paper_webrelease (PDF)
The Figures for the paper: Watts et al 2012 Figures and Tables (PDF)
A PowerPoint presentation of findings with many additional figures is available online:
Overview -Watts et al Station Siting 8-3-12 (PPT) UPDATED
Methodology – Graphs Presentation (.PPT)
Some additional files may be added as needed.
Contact:
Anthony Watts at: http://wattsupwiththat.com/about-wuwt/contact-2/
References:
GAO-11-800 August 31, 2011, Climate Monitoring: NOAA Can Improve Management of the U.S. Historical Climatology Network Highlights Page (PDF) Full Report (PDF, 47 pages) Accessible Text Recommendations (HTML)
Fall, S., Watts, A., Nielsen‐Gammon, J. Jones, E. Niyogi, D. Christy, J. and Pielke, R.A. Sr., 2011, Analysis of the impacts of station exposure on the U.S. Historical Climatology Network temperatures and temperature trends, Journal of Geophysical Research, 116, D14120, doi:10.1029/2010JD015146, 2011
Leroy, M., 1999: Classification d’un site. Note Technique no. 35. Direction des Systèmes d’Observation, Météo-France, 12 pp.
Leroy, M., 2010: Siting Classification for Surface Observing Stations on Land, Climate, and Upper-air Observations JMA/WMO Workshop on Quality Management in Surface, Tokyo, Japan 27-30 July 2010 http://www.jma.go.jp/jma/en/Activities/qmws_2010/CountryReport/CS202_Leroy.pdf
Menne, M. J., C. N. Williams Jr., and M. A. Palecki, 2010: On the reliability of the U.S. surface temperature record, J. Geophys. Res., 115, D11108, doi:10.1029/2009JD013094
Muller, R.A., Curry, J., Groom, D. Jacobsen, R.,Perlmutter, S. Rohde, R. Rosenfeld, A., Wickham, C., Wurtele, J., 2012: Earth Atmospheric Land Surface Temperature and Station Quality in the United States. http://berkeleyearth.org/pdf/berkeley-earth-station-quality.pdf
Watts, A., 2009: Is the U.S. surface temperature record reliable? Published online at: http://wattsupwiththat.files.wordpress.com/2009/05/surfacestationsreport_spring09.pdf
World Meteorological Organization Commission for Instruments and Methods of Observation, Fifteenth session, (CIMO-XV, 2010) WMO publication Number 1064, available online at: http://www.wmo.int/pages/prog/www/CIMO/CIMO15-WMO1064/1064_en.pdf
Notes:
1. The SurfaceStations project was a crowd sourcing project started in June 2007, done entirely with citizen volunteers (over 650), created in response to the realization that very little physical site survey metadata exists for the entire United States Historical Climatological Network (USHCN) and Global Historical Climatological Network (GHCN) surface station records worldwide. This realization came about from a discussion of a paper and some new information that occurred on Dr. Roger Pielke Sr. Research Group Weblog. In particular, a thread regarding the paper: Pielke Sr., R.A., C. Davey, D. Niyogi, S. Fall, J. Steinweg-Woods, K. Hubbard, X. Lin, M. Cai, Y.-K. Lim, H. Li, J. Nielsen-Gammon, K. Gallo, R. Hale, R. Mahmood, R.T. McNider, and P. Blanken, 2007: Unresolved issues with the assessment of multi-decadal global land surface temperature trends. J. Geophys. Res.
2. Some files in the initial press release had some small typographical errors. These have been corrected. Please click on links above for new press release and figures files.
3. A work page has been established for Watts et al 2012 for the purpose of managing updates. You can view it here.
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Note: This will be top post for a couple of days, new posts will appear below this one. Kinda burned out and have submission to make so don’t expect much new for a day or two. See post below this for a few notes on backstory. Thanks everybody! – Anthony
NOTE: 7/31/12 this thread has gotten large and unable to load for some commenters, it continues here.
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If this is the best such land area surface temperature assessment system on the planet (covering, as well, a broad range of metropolitan, suburban, and rural areas), and the quality of the system is now proven to be demonstrably more prone to error than had been previously assumed – with the preponderance of error shown to produce the impression of warming in excess of real conditions prevailing – what may be reliably inferred about surface temperature monitoring systems data from even less reliable thermometers all over the rest of the world?
There’s also the matter of the algorithms used for sites inside the U.S. and for sites outside the U.S. being different; the UHI non-detection being even more extreme outside of the U.S. (cities of a quarter million being marked rural); there being just a dearth of used stations in many areas of the world; as well as algorithms used showing more warming for an area than any measured sites circumscribing that area.
This is my own arithmetic, not NASA/ Goddard’s. I’ve only taken their annual averages as a starting point. I get 0.11C per decade warming from Goddard’s data. The press release gives 0.155C per decade from Watts et al 2012 for the continental US.
I was rather surprised at the close agreement between warmist data and sceptical data, especially with Watts et al giving the higher figure!
To the several who have asked … here’s at least my attempt at a slightly more plain language synopsis … these are the actual words, condensed to what seem (at least to me) the key points, with minor changes to help readability:
U.S. Temperature trends show a spurious doubling due to NOAA station siting problems and post measurement adjustments.
Today, a new paper has been released that is the culmination of knowledge gleaned from five years of work by Anthony Watts and the many volunteers and contributors to the SurfaceStations project started in 2007.
This pre-publication draft paper, titled “An Area and Distance Weighted Analysis of the Impacts of Station Exposure on the U.S. Historical Climatology Network Temperatures and Temperature Trends”, co-authored by Anthony Watts of California, Evan Jones of New York, Stephen McIntyre of Toronto, Canada, and Dr. John R. Christy from the Department of Atmospheric Science, University of Alabama, Huntsville, is to be submitted for publication.
In the paper ‘Fall et al, 2011’, results from the ‘Surface Stations Project’, surveying the U.S. Historical Climatology Network (USHCN) were presented, using a siting classification system developed by Michel Leroy for Meteofrance in 1999 – the same system employed by NOAA to develop the U.S. Climate Reference Network (USCRN) in 2002.
In 2010, Leroy improved upon this system with a new area and distance weighted classification system. While the Leroy (1999) system performs well for new station siting evaluation, it does not take into account the surface area of heat sinks and sources that may encroach upon a temperature measurement station over its lifetime. Leroy (2010) adds inclusion of the surface area of heat sinks and heat sources within the viewshed of thermometer, and as a result, does a more complete job of siting assessment, particularly when applied retroactively to existing stations, than the original distance only weighted classification system described in Leroy (1999).
The new Leroy (2010) siting classification system has been approved and endorsed by the World Meteorological Organization. Similar to the Leroy (1999) system, it adds total surface area (of heat sources and heat sinks) to the distance measurement as an additional metric for determining station site rating.
The use of Leroy (2010) resulted in a dramatic and statistically significant improvement in the stations quality ratings, as distance alone does not quantify the amount of heat emitted by a source or sink within the thermometer viewshed.
The analysis of this paper demonstrates that siting quality matters. Well sited stations consistently show a significantly cooler trend than poorly sited stations, no matter which class of station is used for a baseline, and also when using no baseline at all.
Further, our review shows, not only does the NOAA USCHNv2 adjustment process fail to adjust poorly sited stations downward to match the well sited stations, it actually adjusts the well sited stations upwards to match the poorly sited stations.
Additionally, it is demonstrated that urban sites warm more rapidly than semi-urban sites, which in turn warm more rapidly than rural sites. Since a disproportionate percentage of stations are urban (10%) and semi-urban (25%) when compared with the actual topography of the U.S., this further exaggerates Tmean trends.
NOAA adjustments procedure fails to address these issues. Instead, again, poorly sited station trends are adjusted sharply upward (not downward), and well sited stations are adjusted upward to match the already-adjusted poor stations. Well sited rural stations show a warming nearly three times greater after NOAA adjustment is applied.
There is also the issue of equipment inhomogeneity. Modern MMTS sensors show a significantly lower warming trend than the obsolete CRS shelters. Yet rather than lowering the trends of CRS stations, the trends of MMTS stations are, yet again, sharply adjusted upwards.
These factors, combined with station siting issues, have led to a spurious doubling of U.S. mean temperature trends in the 30 year data period covered by the study from 1979 – 2008.
In the entire paper, please use Search and Find on “figure” and please capitalize them all or don’t. Right now, it is a haphazard mix. Line 494, 495 and 538, there is a space missing between the word “figure” and the number. If you do capitalize, there are some places where it shouldn’t be capitalized. The difference is where you are referencing a specific figure with its number, then you can capitalize. But when talking about figures in general, then don’t capitalize.
This same issue appears with “Class”. There is a haphazard mix of uppercase and lowercase. (And there is only one non-parenthesized reference to a table on line 685 which should follow whatever convention you pick, as well as two other references) There are cases where spaces are missing before the number. Sometimes there is “Class 1&2” and sometimes “Class 1 & 2”. Same with 3 & 4. Also with 1\2 vs 1 & 2. There should always be a space after a comma no matter what. Fix line 602, 608, 609, 610, 616, 619, 756, 757, 764, so as to replace the last comma with “and”, spacing or other such issues. You have spacing consistency problems again with “0.265°C/decade”. Sometimes there is a space before °C, sometimes not. Sometime spaces around the slash, sometimes not. Line 623 doesn’t need a comma before “and Class 5”. Same thing on line 624 before “and Urban”. Line 624 is missing a period. Line 633 has a comma before “and”. This is sometimes ok, but it looks out of place here. Remove comma on line 652. Remove last comma on line 659, 797 and 828. There should be a comma after “(2011)” on line 798. First comma in line 803 is unnecessary. Consider breaking up lines 660 to 663 into three individual sentences. The last sentence should start with “Lastly,” or some alternative if starting a sentence with “And” is not acceptable in published papers. Fix line 813 to have spaces after commas and replace last comma with “and”.
Consider using comma separated phrases instead of parenthesized phrases. Lines 724 to 730 are especially noteworthy, but this issue appears throughout the paper. If something is important enough to mention, it should be able to stand as part of the official sentence, otherwise much of your paper is considered incidental. Figures, tables and values, etc. are fine within parentheses.
Lines 756 to 758 is strangely put together. It’s up to you, but might want to split it into two sentences and reword the last sentence so that it actually reads as a sentence.
Sorry if this is nitpicking, but these things would not go unnoticed even in high school. It goes to show overall care in your presentation and can be an indicator of the care you would take with the data. I found it annoying to read overall because of these unnecessary distractions.
Anyways, take or leave anything I’ve said. Just thought it wouldn’t hurt pointing these things out and you can decide for yourself. Overall, really liked the content. The quality of the station siting cannot be understated. I find it quite remarkable that there isn’t more emphasis on quality control of the measurements used to justify the AGW claim. Well, unless they knew, but we can’t go there. So they must not care.
Robin says:
July 29, 2012 at 3:57 pm
….They just explained that and they have issued the USCCRP Strategic Plan for 2012-2021 detailing the plans for our servitude regardless of the facts….
_________________________
I take it you are referring to this. I noticed it had a pull-down with all the US departments listed. It really does looks nasty.
(It has a link to a pdf of the full plan)
Their Communication and Education sounds like straight out brainwashing 101. GEE, maybe this is what Mike Mann has been working on as part of his ‘communication skills’
Well they want ‘engagement’ so I guess this is where we should be sending this paper and all the other papers and data showing CAGW is a hoax. ~ “If you have questions or suggestions about USGCRP communications efforts, please email the Communications Manager.”
Curious who the press release was sent to. I surely hope that the American Chemical Society was on distribution (although I doubt they will ever mention it, because it doesn’t fit their agenda.)
Thanks KD!
Anthony/Mods, please start a new thread before this becomes too long!
btw this has to be the fastest ever rate of posts??
Shameless Donations flung.
The paper needs graphs.
They will show lots more interesting things.
@Tad re Arizona warming — it could be Arizona stations were well-sited. Weren’t the adustmentments off by a factor of 3 for those stations?
It’s binning. Binning is the source of many bin averages which bin true signals and bin them into noise.
TomRude says:
July 29, 2012 at 4:56 pm
GEOPHYSICAL RESEARCH LETTERS, VOL. 39, L10703, 6 PP., 2012
doi:10.1029/2012GL051387
….
The bias adjustments play a critical role, as the raw HCN dataset displays substantially less warming than all of the reanalyses.
========
Which is in line with Anthony’s paper.
“the raw HCN dataset displays substantially less warming than all of the reanalyses”
That is what Anthony’s paper found. That the NOAA reanalysis doubled the warming shown by the class 1/2 station raw data. That NOAA adjusted the raw data to match the poor stations.
“The bias adjustments play a critical role”
Which is in line with what Anthony and others have been reporting. That climate scientists have had their thumbs on the scales for quite some time, in order to increase government funding. At the expenses of other programs that are likely to deliver real benefits today. Which explains the economic mess the US finds itself in.
Assuming there are no substantive objections made to this paper, and the inclusions of Steve McIntyre as an author make me suspect there cannot be (not to diminish the tremendous work surrounding getting an accurate thermometer!!!), I wonder whether there is an inkling as to how this will affect the ROW (rest of the world) temperature “anomalies”? My suspicion is the algorithms used are very similar (after all, it’s easy, right?)
Assuming this is the most accurate analysis, would ROW temperature trends follow suit?
R/Ed.
P.S. I hate the word “anomaly” applied to temperatures, as if there is a perfect temperature and anything other is strange.
Nick Stokes says:
July 29, 2012 at 5:31 pm
Ed Barbar says: July 29, 2012 at 5:03 pm
“Nick,The 2007 trend from UAH, according to Wikipedia, is .143 degrees C per decade,…”
Ed, is that the US48 trend? The 0.23°C/decade US trend comes from their own file, which gives 0.14 as the global trend.
Hows that ACORN going? You have that all shored up in the land down under, so that you can now provide clarity for the USHCN. I bet you that the aussie audit group did not apply this WMO-ISO siting standard, considering you have only 954 Tmin records that are higher than your Tmax for th same day.
http://joannenova.com.au/2012/07/boms-new-data-set-acorn-so-bad-it-should-be-withdrawn-954-min-temps-larger-than-the-max/
But, yes, go ahead and poo-poo on this obvious issue as well…
Oh, and least I forget, the above is a multi TRILLION dollar question. Will money help? What would you use it for? Let me know. It seems to me you are doing fine without it, but if it would help, please let all of us know in what way.
Paul R. Ehrlich sounded off on Twitter. “Considering Christy’s rep I’ll wait and see where/if it’s actually published and what the responses are.”
Someone should tell Ehrlich that when it comes to ‘rep’ it’s Christy +1, Penn State 0.
Well done, it was worth the drama 😉
Well I’m not a scientist but an admirer of the scientific method. I’ve put this comment on Jo Nova’s blog but it really belongs here
I’d like to add my congratulations to Anthony and his co authors on what is the culmination of a huge amount of work by them and the team of volunteers involved in the surface stations research
As someone rightly said Watts et al ‘brings it home’. We weren’t disappointed by the wait
There are some articles – Climate Depot of course, then The Examiner http://www.examiner.com/article/devasting-blow-to-temperature-records-u-s-temp-trends-spuriously-doubled;
“
(Dr. Richard Muller et al used an older siting classification system. Muller also wrote a NYT op-ed piece stating the rise in temperatures was caused by greenhouse gas emissions. However, this new classification system shows that siting does have a major impact on the data.
Then there’s the irrepresible Delingpole http://blogs.telegraph.co.uk/news/jamesdelingpole/100173174/global-warming-yeah-right/
“
Poor Professor Muller has been telling anyone who’ll listen – his amen corner in greeny-lefty MSM, mainly – that as a former “skeptic” he has now been forced by weight of evidence to conclude that global warming is definitely man-made and there has been lots of it (a whole 1.5 degrees C – Wow! that’s like almost as much as you’d get if you drove from London to Manchester!!!) since 1750. Tragically – as Watts has very reluctantly and by-no-means-experiencing-any-kind-of-Schadenfreude had to point out is that the data used by Muller to draw these conclusions was unreliable to the point of utter uselessness.
So, in the spirit of magnanimity in total crushing victory I would urge readers of this blog not to crow too much about the devastating blow Watts’s findings will have on the Guardian’s battalion of environment correspondents, on the New York Times, on NOAA, on Al Gore, on the Prince of Wales, on the Royal Society, on Professor Muller, or on any of the other rent-seekers, grant-grubbers, eco-loons, crony capitalists, junk scientists, UN apparatchiks, EU technocrats, hideous porcine blobsters, demented squawking parrots, life-free loser trolls, paid CACC-amites and True Believers in the Great Global Warming Religion.
That would be plain wrong.
It’s a day for celebration that we still are lucky enough to have these tireless scientists who do research the old fashioned way – in the field (that includes Warwick Hughes, Jo and others who are my heroes)
And of course Anthony and his co authors and his team
I sure I’ve read the name “Michel Leroy” a few times before, but until today I don’t think anyone considered his classification scheme as important or how carefully designed it was. It seems to me one thing this paper does is provide very good confirmation that Leroy’s new scheme is a significant improvement.
I managed to find a .pdf of the classification scheme, which appears to be the 1999 scheme with an annex describing the 2010 extensions.
Interested folks who are up for more reading today can find it at http://www.jma.go.jp/jma/en/Activities/qmws_2010/CountryReport/CS202_Leroy.pdf .
A few implications if the study holds up to scrutiny:
– Similar analyses must be carried out globally.
– Climate recordbooks will have to be rewritten.
– Climate models will be more wrong than ever before.
– Predictions for ice melt and ocean rise (esp. Rahmstorf) must be reduced.
– For the first time, the IPCC report will be LESS alarmist than the previous one.
Others?
In the summary included in this post Anthony says : “Poorly sited station trends are adjusted sharply upward, and well sited stations are adjusted upward to match the already-adjusted poor stations.”
Does this have anything to do with the Station History Adjustment Procedure? For details of the NOAA’s adjustments see here
On the matter of SHAP they state: “Application of the Station History Adjustment Procedure (yellow line) resulted in an average increase in US temperatures, especially from 1950 to 1980. During this time, many sites were relocated from city locations to airports and from roof tops to grassy areas. This often resulted in cooler readings than were observed at the previous sites. When adjustments were applied to correct for these artificial changes, average US temperature anomalies were cooler in the first half of the 20th century and effectively warmed throughout the later half. ”
To me that means sites were undergoing urbanisation which causes a trend. Those sites were then moved and the new temps are cooler, so the new temps are adjusted upwards to match the previous temps. This would have the effect of exporting the UHI effect from the old site to the new site wouldn’t it? This alone would be poor but if your adjustments to the new data also are to continue a previous trend (caused by uhi at the old site but transposed through adjustments to the new site) it’ll make matters even worse.
BEST and Muller being savaged by many – including warmists:
David Appell:
And former BEST author Judith Curry (by way of Revkin):
Warmist William Connolley – Muller still Rubbish:
Michael Mann (h/t Tom Nelson):
To true scientists
Though Chicken Little ran amock
And spread his squawkings far and wide
The thunderbolt of Zeus has struck
And Chicken Little is chicken fried
Eugene WR Gallun
Johninoregon: “vast majority of expert scientists who have published peer-reviewed papers ”
John, is that a mantra that they pound into your head at Greenie Boot Camp, like “This is my rifle, this is my gun?”
“Vast majority:” false
“Peer-reviewed:” false