The Motorcycle Safety Foundation’s Guide to Motorcycling Excellence: Skills, Knowledge, and Strategies for Riding Right (2nd Edition)
This all-new and expanded second edition of The Motorcycle Safety Foundation?s Guide to Motorcycling Excellence is the most authoritative book ever published on safe riding techniques and strategies for current and prospective motorcyclists who want to do it right.
In a clear, engaging style with detailed diagrams and extensive full-color photographs and illustrations, the book covers rider attitude, protective riding gear, pre-ride inspection, maintenance, and troubleshooting, as well as basic and advanced street skills. Tips on how to create a "space cushion" to avoid traffic hazards; stop quickly; countersteer for better control; manage traction; position your body for smoother, more consistent riding; travel skillfully and safely in a group; maneuver effectively and efficiently in off-highway riding; and much more, are included. The new edition also features advice from legendary racers Kevin Schwantz, Nick Ienatsch, Freddie Spencer, Rich Oliver, and Reg Pridmore, as well as contributions from Erik Buell on motorcycle geometry, Keith Code on countersteering, and Paul Thede on suspension adjustment, among other experts.
Founded in 1973, the Motorcycle Safety Foundation (MSF) is recognized internationally for its rider-training curriculum, which has been used worldwide by thousands of trainers in teaching more than three million motorcyclists the skills necessary to stay safe and have fun on the road. This book is the essence of what the MSF has learned about teaching students of all ages and experience levels. It is the definitive reference for the sport?a perfect refresher for anyone who has ever taken an MSF course, and an eye-opener for those who haven?t.
As the MSF likes to remind us, "The More You Know, The Better It Gets!" This new edition of Motorcycling Excellence provides the opportunity for every motorcyclist to discover for him or herself the thrills and joys of "riding right" by getting the best from self and machine.