About the exercise data

The snapshot

Practice dates: September 28 – October 25, 2026, inclusive. Collected October 30, 2026, from the saved workout history in the production Military Calisthenics app. There are 452,456 counted exercise practices across 221 movements in this library.

The snapshot includes only the app’s own women’s and men’s calisthenics exercise IDs. Cross-promoted Tai Chi, Pilates and chair exercise IDs are excluded. Individual account IDs remain outside the published snapshot.

1. Times practiced

We read saved workout history. A record qualifies when the workout is marked complete and has a positive recorded duration. Within that record, we count an exercise only if its own completion flag is true. Each exercise ID contributes at most one practice per workout; repeating it in a later workout adds another practice.

Opening an exercise guide, starting a workout and completing a practice are different actions. The displayed number counts recorded practices. It does not count video views, app launches, sets or repetitions. A completion flag describes the app’s state; it does not prove that the full movement was performed or the technique was correct.

Zero means no qualifying record in this snapshot. It does not mean nobody has ever practiced the movement.

2. Popularity within a track

We rank women’s and men’s exercises separately by counted practices. An exercise’s rank is one plus the number of exercises in the same track with a strictly higher count. Equal counts share a rank; the next rank can therefore skip a number. The denominator is the number of exercises in that track with at least one counted practice.

Plans show some movements more often and earlier than others, and repeat users contribute more records. A popular exercise is not necessarily more effective, easier or a better choice for you.

3. Days per active week

For each exercise, we group qualifying records by account and Monday–Sunday week. We count different saved local practice dates in each group. Multiple workouts on one date count as one practice day for this calculation.

Average days per active week = total account-days ÷ active account-weeks. A week without a recorded practice of this exercise contributes nothing to either side. For example, one account practicing on two dates in week one and one date in week two contributes three days and two active weeks: 1.5 days per active week.

The period covers four complete Monday–Sunday weeks. Dates come from the device-local date saved with each session; device clock and time-zone changes can affect them. We show one decimal place and require at least 10 contributing accounts. Otherwise the page says “Limited data”. This is an observation of active weeks, not attendance across all users or a recommended schedule.

4. Difficulty

Difficulty is the exercise’s 1–5 score in the app’s content. A higher number indicates a more demanding movement. We copy the source value; we do not calculate it from completions, exits or replacement choices. The score is not a personalized readiness or medical assessment.

5. Clarity

Clarity is a separate 1–5 content score for how clearly the steps and demonstration specify the movement. Higher means clearer to follow. It is copied from the same source exercise data. It is not a user review average, a comprehension test, a confidence score or a difficulty score.

The descriptions below explain the direction of the scales. They are reading labels for the five values, not measured performance thresholds or a new scoring rubric.

6. Time in a workout

This is the exercise’s default content duration in the app, converted from minutes to seconds. It is a practice block, not an observed average or a repetition target. Pauses, preparation, rest and app settings affect the elapsed session time.

Coverage and limits

We can read only workout records saved to the app’s production history. Anonymous or offline practice that never synced and deleted histories can be absent. One account can represent more than one person, and one person can use several accounts. There is no comprehensive staff/test-account exclusion in this snapshot.

Counts show recorded behavior in this period. They do not establish exercise quality, health outcomes or population-wide habits. The frequency numbers here use saved account history; blog research can use a different source or window, which its own methodology explains.