XPost: alt.global-warming, sci.skeptic, alt.atheism   
   XPost: alt.politics.democrats, alt.fan.rush-limbaugh   
   From: Dawn.Belle.Flood@gmail.com   
      
   On 11/25/2025 2:44 PM, JTEM wrote:   
   > On 11/25/25 3:38 PM, Dawn Flood wrote:   
   >   
   >> And, so, the BioScience article is just a sham   
   >   
   > Yes. Exactly. Just like the idiocy supporting ID/Creationism was   
   > when Dubya was beholding to the religious right. MONEY CONTROLS   
   > SCIENCE, all science. If it does translate directly to a   
   > national security application or some economic gain, it's not   
   > even science. It's politics. Period.   
   >   
   > Yes. ALL OF "climate science" that you have access to is bullshit.   
   > Just like paleoanthropology. Just like 100% of archaeology   
   > related to the bible.... all of it. Pure bullshit.   
   >   
   > You can't even find genuine scholarship on Adolph Hitler's death!   
   > For some reason even THAT must be protected at all cost and   
   > despite all facts...   
   >   
   > You don't matter. You don't need to know. And stupidity serves   
   > your masters.   
   >   
   > Gwobull Warbling is and always has been about control of the   
   > resources. Always. And they've been talking about it at least   
   > since the 1980s.   
   >   
   > Always.   
   >   
   > Congratulations. Now you know that, yes, it's all bullshit and   
   > that it's not "Science" to compare something to itself & pretend   
   > you see a difference.   
   >   
   >   
      
   Here's a simple regression that I did moments ago using Minitab:   
      
      
   Regression Analysis: Annual Temp versus CO2 (1959 to 2024)   
      
   The regression equation is   
   Temp = - 348 + 1.07 CO2   
      
      
   Predictor     Coef  SE Coef       T      P   
   Constant   -347.81    13.17  -26.42  0.000   
   CO2        1.07213  0.03640   29.45  0.000   
      
      
   S = 9.42288   R-Sq = 93.1%   R-Sq(adj) = 93.0%   
      
      
   Analysis of Variance   
      
   Source          DF     SS     MS       F      P   
   Regression       1  77018  77018  867.41  0.000   
   Residual Error  64   5683     89   
   Total           65  82700   
      
      
   Unusual Observations   
      
   Obs  CO2    Temp     Fit  SE Fit  Residual  St Resid   
     66  425  128.00  107.43    2.61     20.57      2.27R   
      
   R denotes an observation with a large standardized residual.   
      
   END OUTPUT   
      
   The temperature data comes from here:   
      
   https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.txt   
      
   The CO2 data comes from here:   
      
   https://gml.noaa.gov/webdata/ccgg/trends/co2/co2_annmean_mlo.txt   
      
   Please note the p-values and the outlier.   
      
   Dawn   
      
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