"...a clearly presented, thought-provoking review of the science behind evolution"
"A highly informative book written with equanimity."
Dolly, Amazon UK
"...one of the most insightful and helpful books I have read in this arena."
Amazon US Reviewer
Watch the 2-minute book overview:
FOR MORE THAN 150 YEARS, continuous debate has swirled around the topic of evolution. From Darwin to Dawkins, extensive scientific evidence has been presented for evolution, yet almost half of contemporary society still isn’t convinced. The Scientific Approach to Evolution provides a rational new perspective on this debate. Scientific evidence is not all created equally. Some forms of evidence provide only low confidence, while
other forms of evidence provide high confidence. Rob Stadler describes a compelling approach to determine the level of confidence and applies it to the commonly cited evidence for evolution. When high-confidence evidence is appropriately prioritized over low-confidence evidence, the result is a profound new view of evolution—one that they did not teach you in biology.
GET THE BOOK
This book provides a unique analysis of the common evidence cited in favor of evolution and asks the critical question: have we overstated the conclusions by using low-confidence science to make broad scientific claims? This is an essential must-read for science educators and students of science.
JOE DEWEESE, Ph.D.
Associate Professor of Pharmaceutical Sciences, Lipscomb University
This book is a breath of fresh air in what can be a contentious debate. The book is confluent, logical, well-written and organized, and easy to read with its plain examples. I highly recommend this book for anyone interested in the topic.
PHILLIP GERK, Ph.D.
Department of Pharmaceutics, Virginia Commonwealth University
The 6 Criteria of High-Confidence Science
Directly measurable and accurate results
Indirectly measured, extrapolated, or inaccurate results
Prospective, interventional study
Retrospective, observational study
Careful to avoid bias
Clear opportunities for bias
Careful to avoid assumptions
Sober judgement of results
Many assumptions required
Overstated confidence or scope of results
ABOUT THE AUTHOR
Rob Stadler received a B.S. in biomedical engineering from Case Western Reserve University, an M.S. in electrical engineering from the Massachusetts Institute of Technology, and a Ph.D. in Medical Engineering from the Harvard/MIT Division of Health Sciences and Technology.
As a scientist in the medical device industry for over twenty years, he has obtained more than 160 US patents, has been elected fellow of the American Institute of Medical and Biomedical Engineers, and has contributed to medical devices that are implanted in millions of patients worldwide.