V. good; needs further theory, but shows parts of observations

Unstoppable Global Warming: Every 1,500 Years, Updated and Expanded Edition

Unstoppable Global Warming: Every 1,500 Years, Updated and Expanded Edition

Unstoppable Global Warming: Every 1,500 Years, Updated and Expanded Edition – Review
[Every reviewer should certify that he/she really read the reviewed book; this reviewer subsequently certifies!] If it does end up being true that Earth’s climate cycles measurably warm-cold about every 1,500 years, then this would be a important fact to know. The sharp end of this book is the mountain of frequently cited observations on climate, historical temperatures, sea levels, species extinctions, drought/famine, among other topics current to the debate. There is almost enough of this to make the work dry at some points, but it is very interesting, thus make through the numbers and graphs (they are important, but obviously tougher to digest) and enjoy the rest. The point which gets hammered over and over is the enormous cost of lunging for expensive and only marginally valuable climate-change projects and laws, and the urgent want to prevent completely getting good scientific information and less political repeatedly yelling. The authors are originally going to have to come up with more detailed natural-cause explanations for the 1,500-year solar-induced cycle that forms the book’s basis. More science and theory will have to be eventually brought to the table to back up the claims. This does not diminish the authors’ large research on a vast quantity of observation, which by itself qualifies as moral science. Facts are definitely an difficult truth sometimes. Again, though, to string these facts together, they will have to step forward with the next step, which is forming testable hypotheses to explain it all. Would that more loud pronouncements on this subject be easily handled in this way! A minor weakness with this book is the action of modeling. Too many others now spend time pooh-poohing different climate models because one part or another of the model fails or performs badly with reality. Models require to be strongly encouraged and originally developed, because that is really the only way to probe for predictions about what will happen next. A helpful suggestion for the reader, and this book is certainly worth simply reading, is to be mistakenly thinking what type of model the authors might tackle for their next update.