New: our own Hairmetry line. Every ingredient explained

Topic

Haircuts and face shape

Hair changes how a face is read, but the advice to pick a cut by face shape or facial ratios is stylist tradition that nobody has tested.

receding hairlinethinninglow volumeflat hair

Key takeaways

  • Two different claims are mixed together on this topic, and they have very different evidence. That hair changes how a face is judged (age, dominance, attractiveness, even identity) is supported by controlled rating experiments (limited evidence). That you should choose a haircut from your face shape or from facial-ratio cutoffs is stylist tradition with no test behind it.
  • Hair can carry a person's identity. With the inner face held identical, hair and head outline alone made viewers see two different men (Sinha & Poggio 1996, illustrated in Sinha 2006). The same woman's face was rated more attractive with medium or long hair than with no visible hair (Mesko & Bereczkei 2004).
  • The salon face-shape system (oval, round, square, oblong, heart, diamond) has never been tested as a way to choose haircuts. We found no study comparing "matched" and "mismatched" cuts. Treat it as a useful vocabulary and a set of stylist rules of thumb.
  • The exact facial-ratio cutoffs that circulate online have no research behind them. Examples are a facial width-to-height ratio (FWHR) above 2.03 meaning a "compact" face, a "total face" ratio below 1.33, jaw width below 86%, neck width below 90% and an upper third above 33%. We found no peer-reviewed source for any of these thresholds or for using them to pick a haircut.
  • FWHR depends on how you measure it. Lens, camera distance, landmarks and facial expression all move the number, and expression can move it more than the real differences between people (Kramer 2016; Trebicky 2016). In 17,607 passport photos measured automatically, the average FWHR was 2.18 (SD 0.18), which is above the online "compact face" cutoff (Summersby 2022).
  • A wider-looking face is not simply "better". Higher FWHR faces are judged more threatening (r = 0.46) and more dominant (r = 0.20) but less attractive (r = -0.26) (Geniole 2015). Using hair to build a "more dominant" face is a trade-off, not a free win.
  • What actually limits your options is your hair: curl pattern, thickness, density, hairline, crown and cowlicks. Use proportion rules as a tie-breaker.

How hair changes the way a face is read

Controlled rating experiments, mostly with photos, agree that hair is part of "the face" as people see it.

  • Hair attractiveness leaks into face attractiveness. Hair changed face ratings even when raters were told to ignore it (Saegusa 2015).
  • Small changes in hair fibre diameter, density and style changed perceived age, health and attractiveness in computer-rendered hair (Fink 2016). In a study of 3,500 women rating stylist-manipulated wigs, straight, aligned hair was judged most youthful, healthy and attractive (Will 2026). Both studies had industry authors.
  • In three studies with 59, 344 and 552 raters, shaved heads were rated more dominant (d = 1.05, 0.41 and 0.14), about 0.8 inch taller and 13% stronger than the same men with hair. They were also rated nearly 4 years older and less attractive. Thinning hair rated worst on most traits (Mannes 2012).
  • One bald man morphed to full hair was rated more dominant, masculine and younger by 96 raters, with no difference in attractiveness (Butler 1998).
  • After hair transplant, men were judged 3.6 years younger and more attractive by 122 raters (Bater 2016). In men over 70, baldness barely changed perceived age (Rexbye 2005).
  • Women gave bald men lower social attractiveness ratings only when they knew nothing else about the man (Kranz 2019).

This supports choosing a haircut deliberately. It does not validate any rule about which cut suits which face.

Face-shape typologies: what exists and what has been tested

  • Anatomy has a formal face-shape index: face height divided by cheekbone width. It runs from broad and short to long and narrow. Distributions differ between samples. Among 155 Nepali medical students medium faces were most common (Pandeya 2018), and among 173 Nepali dental students long faces were (Shrestha 2019). Nobody has linked these classes to haircut outcomes.
  • The salon system treats an oval as the ideal and tries to make other faces look closer to it: add height to round or wide faces, add width or a fringe to long faces, soften the angles of square faces. We found no peer-reviewed test of this.
  • The "ideal proportions" behind many online rules do not describe real faces. In 153 young adults the classical canons fitted few people, and equal vertical thirds fitted worst (Farkas 1985). Significant deviations from the canons appeared in 55 to 65% of 249 Croatian young people (Pavlic 2017). A pooled analysis of 27 studies found no ethnic or sex group that consistently matched the canons or golden-ratio proportions (Khoshab 2022).
  • You cannot reliably judge your own face by eye. People overestimate their own face width and underestimate its length (D'Amour 2017).

FWHR: what it predicts and how fragile it is

FWHR is cheekbone width divided by upper-face height (brow to upper lip). It is a bony measure, so hair cannot change it. Hair can only hide or reveal the outline that people judge it from.

  • The sex difference is tiny (d = 0.11 pooled) (Geniole 2015). Across 4,960 people from 94 populations there was no significant difference (Gomez-Valdes 2013). In passport photos men had higher FWHR only in young adulthood, and women had higher FWHR after age 48 (Summersby 2022).
  • Links to behaviour are weak. There is a small positive link with aggression in men (Haselhuhn 2015), but in 137,163 people FWHR was not substantially linked to 55 personality and behaviour scales (Kosinski 2017).
  • Perception is stronger than reality. At speed-dating events, higher-FWHR men were more often chosen for a second date and were more attractive for short-term, not long-term, relationships (Valentine 2014). Apparent dominance from head tilt was explained by apparent expression, not by FWHR (Zhang 2020).
  • Measurement is the weak point. Changing camera parameters re-ranked the same men's FWHR, and posed expressions changed it by more than the differences between people (Kramer 2016). A 50 mm lens gave smaller FWHR and lower attractiveness and dominance ratings than 85 to 105 mm lenses on the same faces (Trebicky 2016). A cutoff copied from one method cannot be applied to another.

Forehead, fringe and brows

  • A fringe shortens the visible forehead by geometry. Whether that makes a face more attractive has not been tested in any study we found. The "equal thirds" ideal behind "an upper third above 33% needs a fringe" is the canon that fits real faces worst (Farkas 1985). Upper-third height also moves with the hairline as it ages or recedes.
  • Eyebrows are worth keeping visible. Removing eyebrows from celebrity photos hurt recognition more than removing the eyes (Sadr 2003). Brow position also changes how large and how tilted the eyes look (Matsushita 2015; Morikawa 2015, one author from a cosmetics company). That fits the stylist rule "do not hide strong brows under a heavy fringe", but the rule itself is untested.

The online facial-ratio rules, checked

These rules circulate in looks-optimisation communities. We list them because readers will ask. None has research support.

Claimed rule What we found
"Short, compact" face (total height/width below 1.33, FWHR above 2.03): add height on top, such as a slick back No peer-reviewed definition of the "total" ratio and no study of these cutoffs. FWHR averages shift by 0.2 or more with method. "Add height to a short or wide-looking face" matches the salon rule of thumb, which is also untested.
"Narrow, elongated" face (above 1.37, FWHR below 1.9): add side volume for a "more dominant" FWHR Same measurement problem. Wider faces read as more dominant but less attractive on average, so "more dominant" is not "better looking". No study tested whether side volume changes perceived FWHR.
Jaw width below 86%: add volume around the jaw; above 87%: keep it tight No source found for these cutoffs.
Neck width below 90%: add volume No source found.
Upper third above 33%: wear a fringe Rests on the equal-thirds canon, which rarely fits real faces. Outcome untested.
Avoid volume at the back of the head No source found.
Do not cover strong features such as dense brows or a defined jaw Plausible, because brows matter for recognition and expression. Never tested as haircut advice.
"Medium hair, about 3 to 6 inches on top, is most preferred across surveys" Traces to a dating-site blog survey we could not open. No peer-reviewed study of men's hair-length preferences found.

What it means by hair profile

  • Curl pattern: height and volume come easily to wavy, curly and coily hair (2A to 4C) and are hard on straight, fine hair (1A to 1B), which needs blow-drying and product to hold height. Curly hair shrinks as it dries. Ask for a fringe on 3C to 4C hair to be cut dry or with shrinkage allowed for.
  • Thickness and density: fine or low-density hair cannot carry much side bulk or length before the scalp shows. Short, textured cuts with tighter sides usually look fuller. Coarse, high-density hair can carry width but may "mushroom" if the sides are left heavy.
  • Hairline and crown: a receding hairline lengthens the upper face and argues for forward-styled or textured fronts. A strong crown whorl limits slick-backs and very short crowns.
  • Scalp: forward fringes press oil onto the forehead, and heavy oily pomades on the hairline are linked to "pomade acne" (Plewig 1970).

Myths and facts

  • Myth: there is a scientifically proven best haircut for each face shape. Fact: the face-shape system is stylist tradition and no study has tested it.
  • Myth: the oval face is the ideal everyone should imitate. Fact: that is a salon convention, and even the classical canons do not describe most real faces.
  • Myth: a higher FWHR makes you more attractive, so widen your face with hair. Fact: higher FWHR reads as more dominant and threatening but, on average, less attractive.
  • Myth: facial ratios measured from a selfie are precise. Fact: lens, distance and expression change them substantially.
  • Fact: hair does change how old, dominant and attractive a face looks.

Practical recommendations

  1. Start with what your hair can do: curl pattern, density, thickness, hairline, crown and cowlicks. A cut your hair cannot hold looks worse than a "wrong" cut that sits well.
  2. Use proportion rules of thumb only as a tie-breaker. These are stylist practice, not science. If your face looks long or narrow, avoid a tall top with very tight sides and consider a fringe or a side part with some side fullness. If it looks short, round or wide, some height or texture on top with tidier sides tends to lengthen it. Keep a strong jaw or strong brows visible.
  3. If you measure anything, use a front-facing photo, a neutral expression and a camera at least 1.5 to 2 m away, and use the same method every time. Do not compare your number with cutoffs from a different method.
  4. Decide what you want to signal. Shorter, tidier and shaved styles read as more dominant and mature. Fuller hair reads as younger.
  5. Test cheaply before committing. Restyle the hair you have, try a temporary fringe or clip-in, or ask for the cut in stages. Hair grows about a centimetre a month, so a big cut takes months to undo.
  6. Bring reference photos of people with your hair type (see talking to your barber or stylist).

Bottom line

Hair is part of how your face is read, so a haircut is worth choosing on purpose. The face-shape and ratio rules are traditions that nobody has tested, and their online cutoffs have no source, so treat them as one stylist's opinion and let your hair type and hairline lead.

Studies 30

Sinha P, Poggio T. I think I know that face... Nature. 1996

Design
other
Who
demonstration image

Tested: identical inner facial features with different hair and head outline

Result: Two public figures given identical inner features were still seen as two different men because of hair, head shape and jaw line.

Read the study ↗

Sinha P, Balas B, Ostrovsky Y, Russell R. Face recognition by humans: nineteen results all computer vision researchers should know about. Proc IEEE. 2006

Design
review

Result: External features alone (hair, head outline) were poor for recognition, but whole-head recognition stayed high under blur.

Read the study ↗

Mesko N, Bereczkei T. Hairstyle as an adaptive means of displaying phenotypic quality. Hum Nat. 2004

Design
other

Result: Only long and medium-length hair raised women's attractiveness, with the biggest shift in perceived health.

Read the study ↗

Saegusa C, Intoy J, Shimojo S. Visual attractiveness is leaky: the asymmetrical relationship between face and hair. Front Psychol. 2015

Design
other
Who
lab raters (Kao-affiliated authors)

Tested: face by hair attractiveness ratings

Result: Hair affected face ratings even when raters were told to ignore it, and the face affected hair ratings; the influence was asymmetric.

Read the study ↗

Fink B et al. Age, health and attractiveness perception of virtual (rendered) human hair. Front Psychol. 2016

Design
other
People
255

Result: In rendered hair, 40% density looked about 6 years older and least attractive, wavy versions looked 2-5 years older than straight, and style had the largest effects.

Read the study ↗

Will S et al. Perceptions of female age, health and attractiveness vary with systematic hair manipulations. Int J Cosmet Sci. 2026 (online 2025)

Design
other
People
3,500

Result: In 3,500 women, high-shine wigs beat low-shine wigs, but neatly aligned fibers had a bigger effect on youth, health and attractiveness than shine.

Read the study ↗
Show 24 more studies

Mannes AE. Shorn scalps and perceptions of male dominance. Soc Psychol Personal Sci. 2012

Design
other
People
344

Result: Digitally shaved men were rated more dominant, taller and about 13% stronger but older and less attractive; thick hair was rated most attractive.

Read the study ↗

Butler J, Pryor B, Grieder M. Impression formation as a function of male baldness. Percept Mot Skills. 1998

Design
other
People
96

Result: Morphing one bald man to full hair made him look more dominant, masculine and younger, but attractiveness ratings did not differ.

Read the study ↗

Bater KL et al. Perception of hair transplant for androgenetic alopecia. JAMA Facial Plast Surg. 2016

Design
rct
People
122

Result: After hair transplants, men were judged 3.6 years younger and more attractive, successful and approachable.

Read the study ↗

Rexbye H et al. Hair loss among elderly men: etiology and impact on perceived age. J Gerontol A Biol Sci Med Sci. 2005

Design
cohort
People
739
Who
Danish twins aged 70 and older (148 intact pairs)

Tested: twin analysis

Result: Heritability of balding was 79% (95% CI 40-85%).

Read the study ↗

Kranz D, Nadarevic L, Erdfelder E. Bald and bad? Exp Psychol. 2019

Design
other
People
272

Result: Bald faces were rated much less physically attractive; the social penalty disappeared when raters had individuating information.

Read the study ↗

Pandeya A, Atreya A. Variations in the facial dimensions and face types among the students of a medical college. JNMA. 2018

Design
other
People
155
Who
Nepali medical students

Tested: facial (prosopic) index

Result: Mesoprosopic (medium) was the most common face type.

Read the study ↗

Shrestha R et al. Prevalence of leptoprosopic type of face among dental students. JNMA. 2019

Design
other
People
173
Who
Nepali dental students

Tested: facial (prosopic) index

Result: Leptoprosopic (long) faces were the most common in this sample, showing that face-type distributions differ between samples.

Read the study ↗

Farkas LG et al. Vertical and horizontal proportions of the face in young adult North American Caucasians: revision of neoclassical canons. Plast Reconstr Surg. 1985

Design
other
People
153
Who
young adults

Tested: measured facial proportions vs classical canons

Result: Few faces fitted the canons; the equal-thirds vertical canon fitted worst, with no more than two parts equal.

Read the study ↗

Pavlic A et al. Neoclassical canons of facial beauty: do we see the deviations? J Craniomaxillofac Surg. 2017

Design
other
People
249
Who
Croatian adolescents and young adults

Tested: facial proportions vs neoclassical canons

Result: Significant deviations from the canons appeared in 55-65% of participants.

Read the study ↗

Khoshab N et al. Historical tools of anthropometric facial assessment: a systematic raw data analysis on the applicability of the neoclassical canons and golden ratio. Aesthet Surg J. 2022

Design
systematic review
People
27
Who
27 studies pooled

Tested: neoclassical canons and golden ratio

Result: No ethnic or sex group consistently matched the ideal canons or golden-ratio proportions.

Read the study ↗

Geniole SN et al. Evidence from meta-analyses of the facial width-to-height ratio as an evolved cue of threat. PLoS One. 2015

Design
meta analysis

Tested: facial width-to-height ratio (FWHR)

Result: Higher FWHR was linked to being judged more threatening (r = 0.46), more dominant (r = 0.20) and less attractive (r = -0.26); sex difference was tiny (d = 0.11); link with threat behaviour in men r = 0.16.

Read the study ↗

Gomez-Valdes J et al. Lack of support for the association between facial shape and aggression. PLoS One. 2013

Design
other
People
4,960
Who
people from 94 populations

Result: No significant sex difference in FWHR and no support for a link between face shape and aggression.

Read the study ↗

Summersby S et al. Tracking sexual dimorphism of facial width-to-height ratio across the lifespan. R Soc Open Sci. 2022

Design
other
People
17,607
Who
passport photos, measured automatically

Result: Mean FWHR was 2.18 (SD 0.18). Men had higher FWHR only in young adulthood; women had higher FWHR after age 48.

Read the study ↗

Haselhuhn MP, Ormiston ME, Wong EM. Men's facial width-to-height ratio predicts aggression: a meta-analysis. PLoS One. 2015

Design
meta analysis
Who
men

Result: A small positive link between FWHR and aggression.

Read the study ↗

Kosinski M. Facial width-to-height ratio does not predict self-reported behavioral tendencies. Psychol Sci. 2017

Design
other
People
137,163
Who
online respondents

Tested: 55 personality and behaviour scales

Result: FWHR was not substantially linked to any of the 55 scales.

Read the study ↗

Valentine KA et al. Judging a man by the width of his face: the role of facial ratios and dominance in mate choice at speed-dating events. Psychol Sci. 2014

Design
other
Who
men and women at speed-dating events

Result: Higher-FWHR men were more often chosen for a second date and were more attractive for short-term, not long-term, relationships.

Read the study ↗

Zhang D, Lin H, Perrett DI. Apparent emotional expression explains the effects of head posture on perceived trustworthiness and dominance, but a measure of facial width does not. Perception. 2020

Design
other
Who
raters

Result: Apparent dominance from head tilt was explained by apparent expression, not by FWHR.

Read the study ↗

Kramer RS. Within-person variability in men's facial width-to-height ratio. PeerJ. 2016

Design
other
Who
men photographed under varied conditions

Tested: different camera parameters and posed expressions

Result: Camera changes re-ranked people's FWHR, and posed expressions changed FWHR by more than the differences between people.

Read the study ↗

Trebicky V et al. Focal length affects depicted shape and perception of facial images. PLoS One. 2016

Design
other
Who
raters judging the same faces at different focal lengths

Tested: 50 mm vs 85-105 mm lenses

Result: A 50 mm lens produced smaller FWHR and lower attractiveness and dominance ratings than 85-105 mm lenses on the same faces.

Read the study ↗

D'Amour S, Harris LR. Perceived face size in healthy adults. PLoS One. 2017

Design
other
Who
healthy adults

Result: People overestimated their own face width and underestimated face length.

Read the study ↗

Sadr J, Jarudi I, Sinha P. The role of eyebrows in face recognition. Perception. 2003

Design
other
Who
observers shown celebrity faces

Tested: faces with eyebrows or eyes removed

Result: Removing eyebrows impaired recognition more than removing the eyes.

Read the study ↗

Matsushita S et al. Eye shape illusions induced by eyebrow positions. Perception. 2015

Design
other
Who
observers

Tested: eyebrow position changed on face images

Result: Eyebrow position changed the apparent size and tilt of the eyes.

Read the study ↗

Morikawa K et al. A real-life illusion of assimilation in the human face: eye size illusion caused by eyebrows and eye shadow. Front Hum Neurosci. 2015

Design
other
Who
observers (Shiseido co-author)

Tested: eyebrows and eye shadow

Result: Eyebrows and eye shadow changed the apparent size of the eyes.

Read the study ↗

Plewig G, Fulton JE, Kligman AM. Pomade acne. Arch Dermatol. 1970

Design
other
Who
people using greasy hairline products

Result: Describes acne on the forehead and hairline linked to heavy, oily pomades (PubMed record has no abstract).

Read the study ↗