Many fields of science and engineering use Monte Carlo techniques, where random numbers are generated to model real world behaviour. This technique works because when working with large samples, errors tend to form symmetrical Gaussian distributions and average out to zero.
Climate science defies this concept by consistently adjusting older temperatures downwards and recent temperatures upwards. The assumption is almost always that older temperatures are defective because they were too high, and newer temperatures are the opposite.
In most fields of science, people would be laughed out of the room for making “adjustments” to the data which consistently support the author’s well known bias. Nevertheless, we see this going on at USHCN and GISS. The effect of these adjustments is that the data is rotated counter-clockwise, as seen in video below for Laurel, Mississippi.
Climate science has taken us past the tilting point.