October 15, 2025
5 min read

Stop guessing when your contractions start

Laird Hamilton once said, "Make sure your worst enemy doesn't live between your own two ears." For freedivers, that enemy often shows up as vague self-assessment. You "think" contractions started around 2:30. You "feel like" they're getting stronger. You're "pretty sure" you can handle another 30 seconds.

This isn't training. This is guesswork.

Why contraction timing matters

Contractions are your body's CO2 alarm system. They're not evil. They're not something to "push through" or ignore. They're information. The timing tells you about your CO2 tolerance. The intensity tells you about your stress response. The pattern tells you about your readiness to continue.

But only if you're actually paying attention.

Most freedivers treat contractions like background noise. They know "something is happening" but can't tell you when it started, how strong it is, or whether it's building in a predictable pattern. That's like trying to navigate without looking at your compass.

What accurate contraction tracking looks like

First contraction timing. This should be precise. Not "around 2:30" but "at 2:27." Your first contraction timing is one of the most reliable markers of your CO2 tolerance on any given day. If it usually starts at 2:30 and today it's starting at 2:45, that's valuable data.

Intensity scaling. Contractions aren't binary. They build. You should be able to distinguish between "first noticeable," "moderate," "strong," and "urgent." Most freedivers jump from "barely noticeable" straight to "I need to breathe now." That's missing 80% of the information.

Pattern recognition. How fast do they build? Do they come in waves or steady progression? Are they isolated to your diaphragm or involving other muscles? This tells you about your stress state and recovery needs.

How to actually train this

Use a timer with audio cues. Visual cues require you to open your eyes and break focus. Audio cues let you mark timing without disrupting your breath-hold state.

Practice with shorter holds first. Don't try to develop contraction awareness while pushing your limits. Do 70% holds where you can focus on the sensations without survival mode kicking in.

Track consistently. Log first contraction timing for every static session. Not just the "good" ones. The pattern matters more than any single data point.

Calibrate with buddies. Have someone observe your contractions from the outside while you track them internally. External contractions often start before you feel them internally. Understanding that gap improves your awareness.

The mental game component

Accurate contraction awareness isn't just about training data. It's about confidence and strategic timing awareness. Yes, forgetting about time for most of your hold can reduce anxiety and let you focus on staying relaxed. But knowing when to check the time-or when to ask your buddy for it-becomes a tactical decision.

"I'm feeling moderate contractions building slowly, let me check where I am" followed by "okay, 3:15, I can push another 30 seconds" is completely different than "I'm somewhere past my usual time and something's happening, how much longer should I go?" The first uses time strategically. The second creates panic because you're lost.

The key is being intentional about when you gather timing information. Early in the hold? Ignore the clock. Past your first contractions and feeling strong? That might be the moment to check your position and make a strategic decision about how much further to push.

Tracking apps

This is why static training in Appneist includes contraction tracking tools. You're not just doing random breath-holds. You're building a database of your responses under controlled conditions. The app helps you identify patterns, track improvements, and build the self-awareness that keeps you safe and progressing.

Stop guessing. Start tracking. Your nervous system is giving you precise information. Learn to read it.

Ready to apply these techniques?

Get structured training plans that implement these proven methods in the Appneist app.

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