Life Extension: A Practical Scientific Approach

by Durk Pearson, Sandy Shaw

Libro usado en buenas condiciones, por su antiguedad podria contener señales normales de uso

Genres: Health

Paperback

First published December 1, 1987

Reviews

[Dan · Rating 5 out of 5]

There is so much information in this book that is just becoming mainstream "news" now that I remember it daily. The part about evaluating claims is really the best advice ever written when it comes to the "miracles" pushed on the internet: If whatever you're being told hasn't been supported by multiple double blind trials, it's probably not really true.

I read this book over 20 years ago and it was talking about calorie restriction, anti-oxidants, and bioflavanoids way back then. I think it's probably still worth reading.

[James Robert Clark · Rating 3 out of 5]

This book was written by two geniuses long before the popular "Transhumanist," movement in the USA. Practical and useful information interspersed with humor, Objectivism, & political satire. The illustrations lend to the overall flavor of a book that promotes Futurism with Life-Extension as its primary goal.
Durk & Sandy actually experimented on themselves with megadoses of vitamins, amino acids, & pharmaceuticals. Much of what is in this book is just coming to light now. If you don't read this book & you're a Life-Extensionist you're going to be behind the curve for sure & that's not a place you wish to be if you're about extending your life here on earth.

[Paul · Rating 5 out of 5]

I bought this book when it came out in the 70s. It explained physiology on a cellular level and it changed my life. I take supplements to this day.

[Robert · Rating 5 out of 5]

Despite it's age, the book is well worth reviewing. Few things have changed since Durk and Sandy wrote this excellent book. What what gains is a more accurate understanding of how medicine is applied, what a doctor is and how a doctor prescribes medicines.

What a reader learns are the various types of studies used, the pros and cons of each as well as identifying statistical errors - both in terms of intended distortion as well as those which attempt objectivity.