The visual archetype overlaps with measurable masculinity markers: fWHR, jaw angle, brow ridge, canthal tilt, and resting expression. The scan reports where your face actually lands on each.
Six of the 17 metrics map directly to the sigma visual. Percentile bands against a male reference distribution.
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The sigma male archetype originated on manosphere blogs around 2010 and went mainstream on TikTok in 2021 as a "lone-wolf top-of-the-pyramid" character archetype. The personality framework is internet pop psychology with no clinical or peer-reviewed basis. What is real is the visual the archetype settled on, which overlaps almost entirely with measurable masculinity markers that do appear in the perception literature.
Carre and McCormick 2008 demonstrated that facial width-to-height ratio (fWHR) predicts perceived aggression and assertiveness in male faces, with subsequent replications in male hockey players, financial traders, and CEOs. Stirrat and Perrett 2010 found wider male faces are perceived as more dominant and slightly less trustworthy. Penton-Voak et al 2001 showed women rate slightly masculinized male faces as more attractive during ovulatory cycle phases. The visual sigma archetype mostly assembles these three findings into a single composite.
The scan returns six of the 17 metrics that map directly to that composite, plus the broader 11 that round out a full facial profile. The output is a percentile against a male reference distribution.
Bizygomatic width divided by upper-face height. Carre and McCormick 2008 showed fWHR correlates with perceived aggression and assertiveness in male faces. The sigma archetype clusters in the 1.9 to 2.2 range.
Lower jaw angle off horizontal in left-profile photos. Flatter angles read as more masculine and assertive. Captured in the profile-photo metric.
Sharpness of the mandibular border in straight-on and three-quarter photos. Highest-loading single input to perceived masculinity in male reference distributions.
Vertical and forward extension of the supraorbital ridge. Estimated from the eyebrow-to-eye distance and the shadow line under the brow in front lighting.
Outer-corner-to-inner-corner eye axis angle. Positive tilt reads as alert and assertive; flat or negative reads as tired or submissive in perception studies.
Whether the resting face reads as neutral, hostile, or warm. The sigma archetype clusters tightly on neutral-to-slightly-serious. Captured from straight-on photo geometry.
The cleanest way to separate signal from noise here: the personality framework is unfalsifiable internet content and you can ignore it. The visual features it points at are real and have been measured in dozens of perception studies going back to the 1990s. Optimizing for those features is a legitimate choice if you want first-impression metrics in dating or professional settings to read more dominant or assertive.
The honest caveat is that perceived dominance is not perceived warmth. Stirrat and Perrett 2010 found higher fWHR correlates with perceived dominance but lower perceived trustworthiness. Different contexts reward different visual profiles. The scan reports both halves so you can see the tradeoff on your specific face.
Six metrics drive the sigma visual. See which ones land for your face.
The $14.99 Looksmax Report ranks every metric against male reference distributions, tags structural vs soft-tissue, and prescribes interventions ordered by expected delta.
Free, instant, private. 17 metrics with percentile bands against a male reference distribution.
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