Why Fast Decisions Come From Deep Practice (Josh Waitzkin’s “Making Smaller Circles” Method)

Fast decisions often look instinctive.

But in expert performance research, speed rarely comes from rushing.

It comes from preparation.

Josh Waitzkin’s “making smaller circles” method explains why: mastery develops when fundamentals are practiced deeply enough that recognition replaces analysis.

The decision feels fast, because the learning happened earlier.

Fast Decisions Are Prepared Decisions

Research on expert performance shows that elite performers don’t necessarily think faster than novices.

They recognize situations faster.

Decades of deliberate-practice research demonstrate that structured repetition changes how information is encoded and retrieved. Experienced performers rely on internalized mental representations rather than consciously comparing options.

Naturalistic decision-making research describes this through recognition-primed decisions: experts match situations to familiar patterns and act based on experience instead of exhaustive analysis.

In other words:

Fast decisions are usually well-trained decisions.

Making Smaller Circles Creates Speed

Waitzkin’s approach focuses on narrowing attention to core fundamentals and refining them repeatedly.

Instead of expanding skill sets endlessly, mastery comes from compressing understanding:

• fewer core principles
• deeper refinement
• faster recognition

As fundamentals become automatic, hesitation decreases—not because pressure disappears, but because the situation feels familiar.

Speed emerges from familiarity.

Practice Builds Stable Mental Models

Deliberate practice strengthens mental models that guide action automatically.

Repeated engagement with foundational skills allows performers to:

• detect meaningful signals faster
• ignore irrelevant noise
• respond consistently under pressure

Research summaries across expertise domains show that repeated, focused practice improves pattern recognition and decision efficiency over time.

The result isn’t impulsivity.

It’s stable execution.

Attention Is the Hidden Requirement

Deep practice is cognitively demanding.

Sustained focus is required to refine fundamentals long enough for automaticity to develop. Studies on attention and deep work consistently show that interruptions and task-switching degrade learning efficiency.

Tools like Numin are designed with this challenge in mind, aiming to support sustained mental engagement during extended focus cycles.