Shownotes
In this episode, Dr. Daniel Laby unpacks one of the biggest misconceptions in sports vision - the idea that correlations fully explain how visual skills impact performance. After decades of analyzing athlete data, he reveals why linear thinking misses the real story and how a non-linear, threshold-based approach uncovers the insights that actually drive results.
Using examples from baseball hitters, Dr. Laby shows how small visual improvements only create big performance gains when an athlete crosses a specific threshold—highlighting why individualized, targeted training matters far more than generic visual improvement.
Whether you're a coach, athlete, or trainer, this episode will change the way you think about visual performance and training.
IN THIS EPISODE, YOU'LL LEARN:
- The visual system is non-linear, so correlations alone can be misleading
- Real performance gains occur when athletes cross specific visual thresholds
- Small improvements only matter if they happen near those thresholds
- Targeted, individualized visual training is far more effective than general improvement
EPISODE TIMESTAMPS:
- 00:42 - The Non-Linear Nature of the Visual System
- 01:01 - Practical Example: Baseball Hitters
- 01:36 - Understanding Threshold-Based Performance
- 03:07 - The Logistic Curve Model
- 03:39 - Practical Implications for Athletes and Coaches
- 04:20 - Rethinking Visual Training
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