Working research report · August 2026

What meditation do people actually practice?

A systematic investigation of meditation techniques, revealed consumption, engagement, and the overlooked role of practice portability.

3,482unique YouTube videos collected
61systematic cross-platform search terms
16.29Braw cumulative views
2,600unique Spotify tracks sampled
Research status: literature review and initial data collection are complete. YouTube engagement metrics were captured on July 31, 2026 (UTC); Spotify search results were captured on August 4, 2026 at 15:37 UTC. Counts are time-bounded snapshots and will change. The raw platform sample still requires exclusion screening, item-level technique coding, and reliability testing before its category-level results can be treated as publication-ready.
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Literature review: What meditation do people actually practice?

Research question: Is there published work that systematically measures which guided-meditation and breathwork techniques people actually consume, and their relative volume and engagement, especially on YouTube and Spotify?

Search note. This was a targeted, multi-strand literature search through 31 July 2026 using combinations of meditation, mindfulness, breathwork, guided meditation, content analysis, catalogue, app, YouTube, Spotify, TikTok, podcast, prevalence, NHIS, app logs, adherence, formal practice, informal practice, and portability. Publisher pages, PubMed/PMC, DOI records, and institutional repositories were used to verify citations and findings. “No study found” below means none was identified through these searches, not a proof of nonexistence.

Executive verdict

The gap is real, but it must be stated narrowly. There is substantial adjacent work, and one direct YouTube predecessor:

A defensible gap statement is therefore:

No identified study has systematically classified guided meditation and breathwork at the item level across YouTube and Spotify and estimated the relative supply and revealed consumption of techniques using uploads/tracks, views or streams/listeners, duration-weighted volume, and engagement.

Avoid the broader claim that nobody has analyzed meditation on YouTube or nobody has studied which techniques are practiced; both would be false.


1. Content analyses of meditation/mindfulness apps

What exists

  1. Early feature inventories. Plaza et al. (2013) reviewed the literature and features of mindfulness mobile applications. It established app feature analysis as a field but was not a complete content census of major commercial catalogues.
  2. Systematic app-store quality reviews. Mani et al. (2015) searched “mindfulness” in the Apple App Store and found 700 apps; only 23 were judged to provide genuine mindfulness training and education, with most being timers, reminders, or guided-meditation utilities. They rated eligible apps with the Mobile App Rating Scale (MARS), with Headspace highest among those reviewed.
  3. European app exercise coding. Schultchen et al. (2021) used a webcrawler, two raters, and MARS to evaluate 14 mindfulness apps. Across 191 coded exercises, common standardized methods included relaxation (153, 80%), breathing (118, 62%), mindfulness (117, 61%), body exercises (59, 31%), acceptance (28, 15%), and resource management (4, 2%). This is important precedent for coding exercise content, although it measured availability, not usage.
  4. Meditation-app reviews. Muhiyaddin et al. (2022a) systematically searched Google Play and Apple’s App Store and rated meditation apps using MARS; Headspace received the highest mean rating (4/5). Their companion scoping review (2022b) summarized app features represented in empirical studies.
  5. Intervention reviews. Reviews of app-based mindfulness trials show that studied interventions are mostly audio-guided practices fostering present-moment awareness, but these reviews sample evaluated interventions rather than public catalogues or revealed consumption.

What does not appear to exist

Conclusion for area 1: Strong methodological adjacency, but no direct substitute for a technique-by-consumption study.


2. Meditation on YouTube, Spotify, TikTok, and podcasts

YouTube: what exists

Spotify, TikTok, and podcasts: what exists

What was not found

Conclusion for area 2: YouTube meditation has been studied, so “first YouTube meditation analysis” is untenable. The narrower technique-volume-engagement and cross-platform gap remains open.


3. Population prevalence of meditation types (NHIS)

What exists

The 2012 NHIS Adult Complementary and Alternative Medicine supplement (n = 34,525 adults) was the first NHIS wave to ask separately about:

Two verified analyses report closely aligned results:

The broader NHIS measure changed across waves. Clarke et al. (2018) reported that past-year adult meditation use rose from 4.1% in 2012 to 14.2% in 2017, but the 2017 headline estimate does not provide comparably detailed technique shares.

A newer US population-based survey by Lam et al. (2023) found, within its full sample, mindfulness meditation was reported by 34.8%, spiritual meditation by 26.2%, and mantra meditation by 14.5%; its central question was persistence, not national technique prevalence, and categories could overlap.

What does not exist in NHIS

Conclusion for area 3: NHIS provides the best national benchmark but its three broad, overlapping bins are too coarse for the proposed question.


4. Digital phenotyping and app-log studies

What exists

  1. Insight Timer (strongest direct behavioral precedent). Cearns and Clark (2023) analyzed 10,409 users in 103 countries, 289,630 meditation sessions, 3.33 million minutes, and 1,392 unique practice-type combinations over 14 months. Metadata included such types as breathing meditation, body scan, compassion, contemplation, guided imagery, loving-kindness, mindfulness, affirmations, relaxation, and Vipassana; analyses focused on dose, consistency, internal (interoceptive) versus external (exteroceptive) objects of focus, mood, equanimity, resilience, and reaching a 150th session. Consistency and morning/daytime routines predicted adherence. A 1:1 balance of exteroceptive and interoceptive practice in the first 30 sessions predicted reaching session 150 (OR 1.73), while no individual practice type significantly predicted adherence. This demonstrates that technique-tagged behavioral logs can be analyzed, but the published goal was not estimating technique market shares.
  2. Calm usage surveys. Huberty et al. (2019) surveyed 12,151 paying Calm subscribers (12.08% response); meditations and Sleep Stories were the most popular components, and sleep/mental-health concerns were common reasons for use. It relies on self-report and feature-level categories.
  3. Calm longitudinal logs. Fowers et al. (2022) used session-level data from 2,600 randomly sampled new annual subscribers to predict later disengagement. Berardi et al. (2023) studied time-of-day preference and temporal consistency as predictors of sustained use. Stecher et al. (2021) randomized Calm users to habit “anchor” strategies and found greater persistence among participants who adhered to anchoring. These illuminate adherence, not technique consumption.
  4. Headspace real-world outcomes. Large observational studies use Headspace engagement data and stress outcomes, but do not publish a comprehensive distribution of techniques consumed.

What does not appear to exist

Conclusion for area 4: Large-scale behavioral evidence exists and narrows the novelty claim. The novelty is not “first use of meditation logs”; it is comprehensive technique-level popularity/proportion analysis on consumer media platforms.


5. Papers on which techniques are most practiced, searched, or consumed

What exists

What does not appear to exist

No identified paper gives a general-population or platform-level denominator and reports a comprehensive table such as “x% breath awareness, y% body scan, z% visualization” weighted by actual sessions, minutes, views, or listening. Existing studies use broad survey categories, selective intervention menus, cumulative self-reported experience, or platform logs aimed at adherence/outcomes.

Conclusion for area 5: There are important partial answers, especially Matko et al. (2021), but not the proposed revealed-consumption answer.


6. YouTube health-content-analysis methodology precedent

What exists and can be borrowed

Methodological implications for the proposed paper

  1. Freeze and report search date/time, locale, language, logged-in state, query strings, sort method, and API/search endpoint because rankings and counts change.
  2. Preserve video IDs and deduplicate across query strata.
  3. Distinguish supply (video count and total available duration) from demand/consumption proxies (views, views/day, likes/view, comments/view, and view-minutes if estimated).
  4. Pre-register a technique codebook; double-code a stratified subset and report Cohen’s kappa or Krippendorff’s alpha.
  5. Code uploader type and commercial/credential claims, but do not equate views with clinical quality.
  6. Use age-normalized metrics because cumulative views mechanically favor older uploads; report raw and normalized results.
  7. Treat search-result sampling as a platform-mediated sample, not the universe of YouTube.
  8. Spotify has materially different observability: public track-level stream counts may be unavailable or incomplete. Label monthly listeners, chart rank, follower counts, or third-party estimates accurately rather than calling them streams.

Conclusion for area 6: A mature methodological literature exists and strongly supports the feasibility of this design, while requiring careful claims about sampling and engagement.


7. Matko and Sedlmeier (2019): verified citation and seven-cluster system

Verified citation

Karin Matko and Peter Sedlmeier (2019), “What Is Meditation? Proposing an Empirically Derived Classification System,” Frontiers in Psychology, 10, Article 2276. DOI: 10.3389/fpsyg.2019.02276.

What the study did

The taxonomy challenges a simple focused-attention/open-monitoring dichotomy and offers a defensible high-level coding scaffold. However, for YouTube/Spotify it needs extensions for breath-control techniques, sleep/relaxation hybrids, affirmations/hypnosis, guidance format, intended outcome, posture/movement, and mixed-technique items. The 2021 follow-up supplies fuller technique descriptions and popularity ratings.


8. Portability, formal versus informal practice, and adherence

Established literature

Direct answers to the three portability questions

(a) Has anyone rated or classified techniques by portability?

No verified peer-reviewed scale or taxonomy was found that rates individual meditation techniques on an explicit portability dimension. Existing taxonomies code attentional object, activation/body orientation, posture/movement, context, or formal/informal status. App reviews sometimes discuss accessibility or availability, but not a technique-level portability score.

(b) Has portability been tested as a mechanism of sustained practice/adherence?

Not directly under that construct. Nearby mechanisms have been tested:

These show that low-friction integration and stable cues can support adherence, but no identified study measures a technique’s portability first and then tests whether that score predicts longitudinal continuation. Therefore the proposed mechanism is empirically open.

(c) Is another term used for this idea?

Yes, partially overlapping terms include:

Portability construct verdict

Portability is best presented as a novel, technique-level extension of—not a replacement for—the formal/informal literature. Informal practice is a mode of enactment: mindfulness during ordinary life. Portability is a proposed affordance: how readily a technique can be initiated and completed across contexts. A formal three-minute breathing exercise may be highly portable while remaining a bounded formal session; mindful dishwashing is informal but depends on a particular activity. The constructs therefore overlap but are not identical.

A defensible operational definition is:

Technique portability: the degree to which a meditation or breathwork technique can be practiced across everyday contexts with low requirements for time, place, posture, privacy, equipment, audio guidance, preparatory ritual, and recovery time.

Recommended dimensions are minimum viable duration, posture flexibility, eyes-open feasibility, hands-free feasibility, audibility/visibility to others, privacy requirement, equipment/guidance dependence, cognitive complexity, physiological intensity, and safety/context constraints. Treat portability as formative/multidimensional until psychometric work supports a single score. Test predictive validity prospectively against initiation, repeat use, streak persistence, and return after lapse while controlling for perceived effectiveness, difficulty, baseline motivation, and content availability.


Overall gap assessment

Claim Verdict
No one has analyzed meditation videos on YouTube False — Buie & Blythe (2013) did.
No one has studied which meditation techniques people practice False — NHIS, Matko et al. (2021), Lam et al. (2023), and intervention adherence studies provide partial answers.
No one has used large-scale meditation app logs False — Insight Timer, Calm, and Headspace studies exist.
No study systematically estimates item-level technique shares of supply and consumption on both YouTube and Spotify Supported by this search.
No study combines technique classification, duration/volume, popularity, and normalized engagement for guided meditation and breathwork Supported, with Buie & Blythe as the closest YouTube precedent.
Portability has no intellectual precedent False if stated broadly — informal/everyday/brief practice and habit integration are extensive precedents.
A technique-level portability construct and prospective portability→adherence test are novel Supported by this search.

The paper should position itself as integrating four literatures that have remained separate: meditation taxonomy, population practice surveys, digital behavioral traces, and platform content/engagement analysis.


References (verified unless flagged)

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Citation not fully verified / excluded from evidentiary claims