Rethinking the Big Patterns - Why Constraints Improve Outcomes, Exercise Selection, & Long-Term Training Progressions with Dr. Pat Davidson
Jan 13, 2023
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Dr. Pat Davidson discusses his model Rethinking the Big Patterns and how constraints improve training outcomes. They explore exercise selection, environmental constraints, and long-term progressions tailored to individual needs for optimal results in performance.
Rethinking the Big Patterns aids in precise exercise selection for specific goals.
Constraints in training outcomes optimize exercise progressions for long-term success.
Deep dives
Rethinking Exercise Selection with Algorithmic Thinking
Dr. Pat Davidson introduces his unique approach to exercise selection known as 'rethinking the big patterns,' focusing on an algorithmic way of thinking to tailor exercises to individual goals. This method emphasizes making precise exercise choices based on specific needs, catering to elite athletes or anyone aiming to enhance fitness levels. By delving into examples like comparing a gold medal-winning skateboarder to an NFL nose tackle, Davidson highlights the importance of selecting exercises aligned with the demands of different sports and athletes.
Constraints-Based Approach to Training Outcomes
Through the concept of constraints in exercise science, Dr. Davidson emphasizes the significance of defining boundaries within training protocols to optimize outcomes. By considering individual, environmental, and task constraints, he argues that tailoring exercise selection based on these factors leads to more effective training plans. Davidson's analogy of NFL playbooks underscores the necessity of aligning training strategies with the specific characteristics and requirements of individual athletes.
Ground-Based Exercise Categorization for Optimal Training Progressions
Dr. Davidson introduces the concept of categorizing exercises as high ground, low ground, or moderate ground based on the deformability of surfaces touched during the movement. He emphasizes the importance of providing sufficient ground feedback during initial training stages to enhance motor learning. By starting with high ground exercises and progressing towards specific ground categories, individuals can optimize muscle growth and adapt exercises to match their goals and sport-specific demands effectively.
My guest is Dr. Pat Davidson, an exercise physiologist, strength and conditioning coach, bestselling author, and host of the Pat Davidson Podcast. In this episode, we discuss Pat's model - Rethinking the Big Patterns, an algorithmic way of thinking that aids in precise exercise selection to accomplish specific goals. We also discuss how constraints (i.e., environmental, individual, task) improve training outcomes and provide a roadmap for long-term exercise/training progressions. These principles can be applied to anyone pursuing improved performance, from elite athletes to recreational exercisers.