People who have been following my series of posts about Michael Mann know I’m trying to dumb things way down. Today, I’ve hit rock bottom. I don’t think I can dumb things down any further.
My last post in this series discussed the fact Mann et al had 22 proxies that extended back to 1400. It also mentioned three of these proxies were created via a process called principal component analysis (PCA).
Don’t worry. Your eyes don’t need to glaze over. Many people have spent a great deal of time arguing about PCA, but I’m not going to discuss it. In fact, I’m not going to discuss any math today. What I’m going to do is much simpler. I’m going to show you Mann’s 22 proxies. That’s all.
We’ve discussed how Michael Mann did testing which showed him two proxies were vital to his hockey stick. Can you tell which they are?
So statistical calculations scare you, you say? That’s okay. Math hurts your head? That’s fine. Phrases like principal component analysis make you fall asleep? No prob. Forget all of that.
Just look at those 22 graphs and realize, that’s Michael Mann’s hockey stick. Mix those images together, and you have a recipe for becoming a world famous climate scientist.
The truth is Michael Mann probably had no idea what he was doing when it came to the math of his paper. He was probably as frightened by the math as you are. That’s why this has never really been about the math. It’s always been about interpreting the results of the math.
Statistics are scary and math is confusing. Simple charts are neither.