A real turning point for me on this climate shenaniganry is years ago I came across an article that stated triumphantly that although the climate deniers had for years pointed to satellite data as showing no warming that now they have run the data through their newest pairwise homogeneity software and it shows warming.
So surface stations show no warming and you run it through PH to remove "bias" and it shows warming. Satellites show no warming and you run it through PH to remove "bias" and it shows warming. Fucking tree ring show no warming and you run it through PH to remove "bias" and it shows warming. If the bias in three completely different measurements all happen to match somehow maybe the bias isn't actually in the measurements.
Let's say you have a surface station that takes the high and low temp every day, and someone builds a building across the street and now the ground around the station gets a little more shade so the high temp on average drops 0.1 degree C for that station. That's an inhomogeneity, so you run it through a pairwise homogeneity algorithm and bingo bango it automatically removes the inhomogeneity even if you don't know about it. And if that seems questionable, don't worry, the code is open source and you can check the 10s of thousands of lines of spaghetti FORTRAN yourself.
It reminds me of the coding of Neil Fergusson - a European epidemiologist who always predicted 100x more deaths than occurs…. For every pandemic since 2000s.
He promised he would open source his code following covid scrutiny- and it has thousands of lines of spaghetti code that had obviously been massages and manipulation for decades.
A real turning point for me on this climate shenaniganry is years ago I came across an article that stated triumphantly that although the climate deniers had for years pointed to satellite data as showing no warming that now they have run the data through their newest pairwise homogeneity software and it shows warming.
So surface stations show no warming and you run it through PH to remove "bias" and it shows warming. Satellites show no warming and you run it through PH to remove "bias" and it shows warming. Fucking tree ring show no warming and you run it through PH to remove "bias" and it shows warming. If the bias in three completely different measurements all happen to match somehow maybe the bias isn't actually in the measurements.
The heck is pairwise homogeneity?
Let's say you have a surface station that takes the high and low temp every day, and someone builds a building across the street and now the ground around the station gets a little more shade so the high temp on average drops 0.1 degree C for that station. That's an inhomogeneity, so you run it through a pairwise homogeneity algorithm and bingo bango it automatically removes the inhomogeneity even if you don't know about it. And if that seems questionable, don't worry, the code is open source and you can check the 10s of thousands of lines of spaghetti FORTRAN yourself.
It reminds me of the coding of Neil Fergusson - a European epidemiologist who always predicted 100x more deaths than occurs…. For every pandemic since 2000s.
He promised he would open source his code following covid scrutiny- and it has thousands of lines of spaghetti code that had obviously been massages and manipulation for decades.