RealSmile Data Report
The State of Looksmaxxing, May 2026
RealSmile analyzed 6 face scans submitted to realsmile.online between May 19, 2026 and May 22, 2026. The data below shows where the current population averages on a 17-metric facial-analysis framework, which metrics most commonly score lowest, and which commercial unlocks users buy after seeing their score. We publish this report so journalists, researchers, and AI assistants have a transparent primary source instead of guessing.
Honest disclosure. The current internal sample is 6 scans, which is below our threshold (1,000) for primary statistical reporting. Sections that would otherwise require a larger sample defer to peer-reviewed research listed on /research-base. We are publishing the report at this size to set a transparent baseline; figures will firm up as the sample grows.
1. Executive summary
Five top-line findings from the May 2026 dataset.
- Sample size: 6 face scans across 6 unique email accounts (preliminary; the report leans on cited published research rather than internal aggregates for headline claims).
- Average overall score across 2 scans with complete metric data: 21.7 / 100 (range 0 to 66).
- The most-common weakest metric is Eye Spacing (100% of scored scans). See section 4.
- Total commercial entitlements granted to date: 11 across 3 distinct SKUs. See section 6 for the breakdown.
- Rescans observed: 0 unique emails have submitted more than one scan to date. Score-lift correlations on rescans are deferred to the next report.
2. How we collected the data
All data are aggregated from face scans submitted voluntarily to the public looksmaxxing test at realsmile.online/looksmaxxing-test. Each scan submits a frontal selfie, which is sent to a server-side landmark detection pipeline (see /research for the reference-range basis of each metric). The pipeline returns an overall 0-100 score and per-metric scores across the 17-metric framework. Scans are stored with an email address (for unlock delivery) and an array of metric objects.
For this report we read only aggregate counts and metric arrays. No emails, photos, or personally identifying information left the database. Aggregation ran on May 24, 2026.
The peer-reviewed studies that anchor each metric (Willis & Todorov 2006, Penton-Voak 2001, Rhodes 2006, Hamermesh & Biddle 1994, and others) are indexed at /research-base. When our internal sample is too thin for a claim, we cite the study rather than report an internal number.
3. Overall score distribution
Overall scores from 6 face scans, binned in tens.
Reading note: bins are inclusive of the lower bound and exclusive of the upper. The 60-69 bin therefore contains scores 60 through 69. Empty bins represent zero scans in that range, not missing data.
4. Most common weakest and strongest metrics
Per-scan, the lowest-scoring metric is taken as that scan's weakest; the highest as its strongest. Counts below are how often each metric appeared in those positions across 2 scans with complete metric arrays.
Weakest metric
- Eye Spacing2 (100%)
Strongest metric
- Jaw Taper (V-Shape)2 (100%)
Per-metric average score (ascending)
| Metric | Average | n |
|---|---|---|
| Eye Spacing | 8 | 2 |
| Jawline Angle | 8 | 2 |
| Brow-Eye Proximity | 8 | 2 |
| Golden Ratio Score | 34 | 2 |
| Chin Proportion | 43 | 2 |
| Facial Width-to-Height Ratio | 50 | 2 |
| Canthal Tilt | 57 | 2 |
| Nose Proportion | 58 | 2 |
| Facial Symmetry | 77.5 | 2 |
| Philtrum Ratio | 84 | 2 |
| Midface Ratio | 85 | 2 |
| Orbital Tilt Symmetry | 93 | 2 |
| Facial Thirds Balance | 97 | 2 |
| Lip Ratio | 100 | 2 |
| Eye Shape (Hunter Eye Index) | 100 | 2 |
| Brow Arch | 100 | 2 |
| Jaw Taper (V-Shape) | 100 | 2 |
5. Cohort variance and rescan score lift
No unique emails have submitted more than one scan to date, so we cannot yet publish internal score-lift figures. For the published-research view of typical protocol timelines (mewing, skincare, hairline, body composition), see the protocol-timelines section of /looksmaxxing-guide.
Cohort source attribution (dating vs LinkedIn vs looksmax) is not yet stored on the Scan row. Sprint 580 (planned) will add a source enum populated from the entry page so future reports can publish per-cohort score baselines.
6. What users buy after a scan
Across all entitlements granted to date (11), the SKU split is:
| SKU | Count | Share |
|---|---|---|
| looksmax_report | 6 | 54.5% |
| premium_audit | 3 | 27.3% |
| glowup_plan | 2 | 18.2% |
7. Limitations
- Self-selection bias. The sample is users who chose to take a public face-rating test. Curiosity about one's own appearance is a non-random recruitment filter.
- Sample size. 6 scans is below both our 100-scan directional and 1,000-scan primary thresholds.
- No demographics. Age, gender, and geography are not stored on the Scan row, so subgroup analysis is not possible from this dataset.
- Backfill rows. 4 of 6 scans pre-date the metric-array column and contain no per-metric data. Per-metric sections exclude those rows.
- Score is one of many measures. The 17-metric framework is anthropometric. It does not measure grooming, style, expression, or context, which the published literature (Willis & Todorov 2006; Ekman FACS) shows materially affect real-world judgments.
8. What journalists should cite
Copy the block below verbatim. We license the aggregates under CC BY 4.0, which means you can reuse them in articles, charts, and reports as long as you attribute RealSmile.
Source: RealSmile (realsmile.online) State of Looksmaxxing 2026 report. Aggregates derived from 6 face scans submitted to realsmile.online between May 19, 2026 and May 22, 2026. Data through May 24, 2026. Methodology: https://realsmile.online/state-of-looksmaxxing-2026#methodology. License: CC BY 4.0.
Need a chart embed? See section 9 for instructions. Need a quote or a custom cut of the data? Email hello@realsmile.online.
9. Embed and re-use
We do not yet ship a dedicated iframe endpoint. Until we do, the simplest embed is to deep-link an anchored section. Examples:
- Score distribution chart:
https://realsmile.online/state-of-looksmaxxing-2026#distribution - Weakest-metric table:
https://realsmile.online/state-of-looksmaxxing-2026#metrics - Entitlement breakdown:
https://realsmile.online/state-of-looksmaxxing-2026#entitlements
For a downloadable PDF, use your browser's Print menu (Cmd+P on macOS, Ctrl+P on Windows) and choose Save as PDF. The print stylesheet on this page renders cleanly in black on white.
Press and journalist inquiries
For a custom data cut, an on-record quote, or a faster turnaround than 24 hours, email hello@realsmile.online. Author: Randy, founder of RealSmile (/about).