Research
The research behind LookFlex
Everything LookFlex says about faces, skin and habits either points to a source on this page or is labelled as our own guidance. Here is every study we rely on, what it found, and how much weight it can carry.
76 sources: 19 strong, 39 moderate, 18 limited · Updated · Written by the LookFlex team
On this page
How we choose and verify sources
We would rather say less than say something we cannot back up. So the rule for this site and the app is simple: a factual claim about faces, attractiveness, skin, sleep, nutrition, training, habits or our own methods must point to a source in this list, or it must be written plainly as guidance, styling convention or our own model.
- What we look for. Pooled analyses (meta-analyses), randomised trials, official guidelines and large studies come first. Where only small or early studies exist, we use them, label them as limited and say what they cannot show.
- How we check them. Every DOI is checked against the Crossref registry with a script,
scripts/verify-research.mjs, and sources without a DOI are checked to make sure the page loads. A source is not added until it passes. That confirms the paper exists and that the title, year and first author match its record. It does not replace reading the paper, so follow the link if a finding matters to you. - How we write them up. Each finding is a short plain-language paraphrase in our own words, not a copy of an abstract. We try to keep every caveat that matters, such as small samples, observational designs and industry funding.
- What we do when evidence is thin. We say so. For some popular claims, such as tongue posture reshaping adult bone, we found no reliable evidence and do not present them as fact.
Found a mistake or a better source? Write to [email protected] and we will look at it.
How to read the evidence labels
Each source carries one label, which describes how much weight that source can carry on its own:
- Strong evidenceLarge, well-designed or pooled studies, or an official guideline. A claim can lean on this source.
- Moderate evidenceReasonable studies with some limits, such as small samples, a single lab or an industry sponsor. Useful, not conclusive.
- Limited evidenceSmall, early or indirect studies. Interesting, not enough to rely on.
The label is our judgement of the source, not the journal's. It can also mean different things for different questions: a strong study can show that an effect is small, as with face width and aggression.
What this research cannot tell you
- It does not validate LookFlex's scores. No study here tested LookFlex. The reference ranges, measurement margins and scores come from our own calibration, described on the methodology page, and we have not had them independently audited. The measurement-error sources explain the method we use for margins, not how precise LookFlex is.
- It is mostly about perception. Most appearance research asks how strangers rate photos. That tells you how people respond, not what is healthy or good for you, and tastes differ between people.
- Samples are limited. Many studies use small groups, students or mostly European faces. We flag this where it matters, and we test our own tools for fairness across skin tones rather than assuming it.
- It is not medical advice. See the medical disclaimer, and speak to a doctor or dermatologist about health concerns.
First impressions
- Todorov A, Olivola CY, Dotsch R, Mende-Siedlecki P (2015). Social attributions from faces: determinants, consequences, accuracy, and functional significance. Annual Review of Psychology. doi:10.1146/annurev-psych-113011-143831Strong evidenceReviewSnap judgments from faces are fast, widely shared and affect real decisions, but they are often inaccurate about a person's actual character.
- Willis J, Todorov A (2006). First impressions: making up your mind after a 100-ms exposure to a face. Psychological Science. doi:10.1111/j.1467-9280.2006.01750.xModerate evidenceExperimentPeople judged traits such as trustworthiness after seeing a face for a tenth of a second, and longer viewing mostly raised their confidence rather than changing the judgment.
Why appearance matters
- Langlois JH, Kalakanis L, Rubenstein AJ, et al. (2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin. doi:10.1037/0033-2909.126.3.390Strong evidenceMeta-analysisAcross many studies, raters largely agreed on who looked attractive, within and across cultures, and attractive people were judged and treated more favourably.
- Eagly AH, Ashmore RD, Makhijani MG, Longo LC (1991). What is beautiful is good, but…: a meta-analytic review of research on the physical attractiveness stereotype. Psychological Bulletin. doi:10.1037/0033-2909.110.1.109Strong evidenceMeta-analysisThe 'beautiful is good' bias is real but uneven: it is strongest for impressions of social skill and much weaker for traits like integrity or concern for others.
Personal taste
- Germine L, Russell R, Bronstad PM, et al. (2015). Individual aesthetic preferences for faces are shaped mostly by environments, not genes. Current Biology. doi:10.1016/j.cub.2015.08.048Moderate evidenceCross-sectional studyA large twin study found that the ways people differ in which faces they prefer come mainly from their own life experiences rather than from their genes.
- Hönekopp J (2006). Once more: is beauty in the eye of the beholder? Relative contributions of private and shared taste to judgments of facial attractiveness. Journal of Experimental Psychology: Human Perception and Performance. doi:10.1037/0096-1523.32.2.199Moderate evidenceExperimentIndividual taste mattered about as much as shared taste when people rated faces, so no single score captures how attractive everyone will find you.
Averageness
- Rhodes G (2006). The evolutionary psychology of facial beauty. Annual Review of Psychology. doi:10.1146/annurev.psych.57.102904.190208Strong evidenceReviewAverageness, symmetry and sex-typical features are found attractive across cultures, but whether they truly signal health is much less certain.
- Langlois JH, Roggman LA (1990). Attractive faces are only average. Psychological Science. doi:10.1111/j.1467-9280.1990.tb00079.xModerate evidenceExperimentDigitally blended composite faces were rated more attractive than most of the individual faces used to make them, and more so as more faces were blended.
Symmetry
- Perrett DI, Burt DM, Penton-Voak IS, et al. (1999). Symmetry and human facial attractiveness. Evolution and Human Behavior. doi:10.1016/S1090-5138(99)00014-8Moderate evidenceExperimentFace images edited to be more symmetrical were usually rated more attractive than the original, less symmetrical versions.
- Ferrario VF, Sforza C, Poggio CE, Tartaglia G (1994). Distance from symmetry: a three-dimensional evaluation of facial asymmetry. Journal of Oral and Maxillofacial Surgery. doi:10.1016/0278-2391(94)90528-2Limited evidenceCross-sectional study3D measurements of 80 healthy young white adults found some left-right asymmetry in individual faces and across the group, most at the jaw angles and near the ears.
Facial proportions
- Pallett PM, Link S, Lee K (2010). New 'golden' ratios for facial beauty. Vision Research. doi:10.1016/j.visres.2009.11.003Moderate evidenceExperimentFaces looked best when the eye-to-mouth distance was about 36% of face length and the gap between the eyes about 46% of face width, close to an average face.
- Farkas LG, Hreczko TA, Kolar JC, Munro IR (1985). Vertical and horizontal proportions of the face in young adult North American Caucasians: revision of neoclassical canons. Plastic and Reconstructive Surgery. doi:10.1097/00006534-198503000-00005Moderate evidenceCross-sectional studyReal faces varied widely, and classical artistic rules such as perfectly equal facial thirds fitted only a few people, so they are not a reliable ideal.
- Holland E (2008). Marquardt's Phi mask: pitfalls of relying on fashion models and the golden ratio to describe a beautiful face. Aesthetic Plastic Surgery. doi:10.1007/s00266-007-9080-zLimited evidenceReviewThe popular golden-ratio face mask fits many faces poorly, especially non-European ones, and is not a sound standard for judging beauty.
Facial width-to-height ratio
- Kosinski M (2017). Facial width-to-height ratio does not predict self-reported behavioral tendencies. Psychological Science. doi:10.1177/0956797617716929Strong evidenceCross-sectional studyIn a very large online sample, facial width-to-height ratio did not meaningfully predict people's self-reported personality or behaviour.
- Geniole SN, Denson TF, Dixson BJ, Carré JM, McCormick CM (2015). Evidence from meta-analyses of the facial width-to-height ratio as an evolved cue of threat. PLOS ONE. doi:10.1371/journal.pone.0132726Strong evidenceMeta-analysisFaces that are wider relative to their height were linked with slightly more aggression in men and were reliably seen as more threatening, but the effects were small.
- Lefevre CE, Lewis GJ, Perrett DI, Penke L (2013). Telling facial metrics: facial width is associated with testosterone levels in men. Evolution and Human Behavior. doi:10.1016/j.evolhumbehav.2013.03.005Limited evidenceCross-sectional studyFacial width relative to height was linked with men's testosterone levels, but later studies have not consistently found the same link.
- Carré JM, McCormick CM (2008). In your face: facial metrics predict aggressive behaviour in the laboratory and in varsity and professional hockey players. Proceedings of the Royal Society B. doi:10.1098/rspb.2008.0873Limited evidenceCross-sectional studyIn a lab task and in ice hockey penalty records, men with a higher facial width-to-height ratio behaved somewhat more aggressively; the samples were small.
Masculinity and femininity
- Little AC, Jones BC, DeBruine LM (2011). Facial attractiveness: evolutionary based research. Philosophical Transactions of the Royal Society B. doi:10.1098/rstb.2010.0404Strong evidenceReviewPreferences for symmetry, averageness and masculine or feminine features are well documented, yet they vary between people and shift with context and experience.
- Scott IM, Clark AP, Josephson SC, et al. (2014). Human preferences for sexually dimorphic faces may be evolutionarily novel. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1409643111Moderate evidenceCross-sectional studyAcross a dozen populations, preferences for masculine or feminine faces were much weaker in less urbanised societies, suggesting modern environments shape them.
- Perrett DI, Lee KJ, Penton-Voak I, et al. (1998). Effects of sexual dimorphism on facial attractiveness. Nature. doi:10.1038/29772Moderate evidenceExperimentSlightly feminised versions of both female and male faces were often preferred, showing that more masculine is not automatically more attractive.
- Rhodes G, Chan J, Zebrowitz LA, Simmons LW (2003). Does sexual dimorphism in human faces signal health?. Proceedings of the Royal Society B. doi:10.1098/rsbl.2003.0023Limited evidenceCohort studyMasculine features in teenage boys were only modestly related to their actual health, and feminine features in girls were not related to health at all.
Eye shape and canthal tilt
- Liu AS, Salinas CA, Sharaf BA (2023). Using artificial intelligence to quantify sexual dimorphism in aesthetic faces: analysis of 100 facial points in 42 Caucasian celebrities. Aesthetic Surgery Journal Open Forum. doi:10.1093/asjof/ojad046Limited evidenceCross-sectional studyAmong 42 celebrities, the women had a more upward eye tilt than the men, while the men had wider jaws and cheekbones; a small, non-diverse sample.
- Bashour M, Geist C (2007). Is medial canthal tilt a powerful cue for facial attractiveness?. Ophthalmic Plastic and Reconstructive Surgery. doi:10.1097/IOP.0b013e31802dd7dcLimited evidenceExperimentIn one small photo-editing study, female faces with an exaggerated eye-corner tilt were usually preferred; it does not establish an ideal tilt for anyone.
Skin tone and texture
- Tan KW, Tiddeman B, Stephen ID (2018). Skin texture and colour predict perceived health in Asian faces. Evolution and Human Behavior. doi:10.1016/j.evolhumbehav.2018.02.003Moderate evidenceExperimentSkin texture and skin colour also shaped how healthy Asian faces looked, extending earlier skin findings beyond European faces.
- Stephen ID, Law Smith MJ, Stirrat MR, Perrett DI (2009). Facial skin coloration affects perceived health of human faces. International Journal of Primatology. doi:10.1007/s10764-009-9380-zModerate evidenceExperimentAsked to make face photos look as healthy as possible, people added redness and yellowness to the skin, tying blood flow and diet-linked colour to a healthy look.
- Fink B, Matts PJ (2008). The effects of skin colour distribution and topography cues on the perception of female facial age and health. Journal of the European Academy of Dermatology and Venereology. doi:10.1111/j.1468-3083.2007.02512.xModerate evidenceExperimentSkin texture and colour evenness both changed how old and healthy a face looked; texture weighed more for age and colour evenness more for health.
- Fink B, Grammer K, Matts PJ (2006). Visible skin color distribution plays a role in the perception of age, attractiveness, and health in female faces. Evolution and Human Behavior. doi:10.1016/j.evolhumbehav.2006.08.007Moderate evidenceExperimentWhen face shape was held constant, faces with more even skin colouring were judged younger, healthier and more attractive.
Sun protection
- Hughes MCB, Williams GM, Baker P, Green AC (2013). Sunscreen and prevention of skin aging: a randomized trial. Annals of Internal Medicine. doi:10.7326/0003-4819-158-11-201306040-00002Strong evidenceRandomised trialAdults randomly assigned to daily broad-spectrum sunscreen showed no detectable increase in skin ageing over 4.5 years, unlike those who used it as they pleased.
- Flament F, Bazin R, Laquieze S, et al. (2013). Effect of the sun on visible clinical signs of aging in Caucasian skin. Clinical, Cosmetic and Investigational Dermatology. doi:10.2147/CCID.S44686Moderate evidenceCross-sectional studyWomen with a sun-seeking history showed more wrinkles, sagging and uneven pigment, and the authors attributed most visible facial ageing to sun exposure.
- Guyuron B, Rowe DJ, Weinfeld AB, et al. (2009). Factors contributing to the facial aging of identical twins. Plastic and Reconstructive Surgery. doi:10.1097/PRS.0b013e31819c4d42Moderate evidenceCross-sectional studyIn identical twin pairs, the twin who smoked longer or had more sun exposure looked older, showing that lifestyle shapes facial ageing beyond genes.
- Mahmoud BH, Ruvolo E, Hexsel CL, et al. (2010). Impact of long-wavelength UVA and visible light on melanocompetent skin. Journal of Investigative Dermatology. doi:10.1038/jid.2010.95Limited evidenceExperimentIn people with darker skin, visible light caused darker, longer-lasting pigmentation than long-wave UVA, which matters for dark marks; a small study.
Skincare actives
- Pullar JM, Carr AC, Vissers MCM (2017). The roles of vitamin C in skin health. Nutrients. doi:10.3390/nu9080866Moderate evidenceReviewVitamin C is needed to build collagen and helps protect skin from oxidative damage; enough from food supports skin, and topical forms show some benefit.
- Kafi R, Kwak HSR, Schumacher WE, et al. (2007). Improvement of naturally aged skin with vitamin A (retinol). Archives of Dermatology. doi:10.1001/archderm.143.5.606Moderate evidenceRandomised trialIn older adults, 24 weeks of a 0.4% retinol lotion reduced fine wrinkles and boosted collagen-building activity compared with the plain lotion.
- Mukherjee S, Date A, Patravale V, et al. (2006). Retinoids in the treatment of skin aging: an overview of clinical efficacy and safety. Clinical Interventions in Aging. doi:10.2147/ciia.2006.1.4.327Moderate evidenceReviewTopical retinoids, especially prescription tretinoin, have the most evidence for improving sun-related skin ageing, with irritation as the usual side effect.
- Bissett DL, Oblong JE, Berge CA (2005). Niacinamide: a B vitamin that improves aging facial skin appearance. Dermatologic Surgery. doi:10.1111/j.1524-4725.2005.31732Moderate evidenceRandomised trialIn a 12-week split-face trial, 5% niacinamide improved fine lines, blotchy redness, dark spots and sallowness versus the plain moisturiser; it was industry-run.
Acne
- Reynolds RV, Yeung H, Cheng CE, et al. (2024). Guidelines of care for the management of acne vulgaris. Journal of the American Academy of Dermatology. doi:10.1016/j.jaad.2023.12.017Strong evidenceGuidelineThe American Academy of Dermatology strongly recommends benzoyl peroxide and topical retinoids for acne, with azelaic and salicylic acid as conditional options.
- Juhl CR, Bergholdt HKM, Miller IM, et al. (2018). Dairy intake and acne vulgaris: a systematic review and meta-analysis of 78,529 children, adolescents, and young adults. Nutrients. doi:10.3390/nu10081049Limited evidenceMeta-analysisHigher dairy intake was linked with somewhat higher odds of acne, but the studies were observational and could not show that dairy causes it.
- Smith RN, Mann NJ, Braue A, et al. (2007). A low-glycemic-load diet improves symptoms in acne vulgaris patients: a randomized controlled trial. American Journal of Clinical Nutrition. doi:10.1093/ajcn/86.1.107Limited evidenceRandomised trialYoung men on a 12-week low-glycaemic-load diet had fewer acne lesions than controls, though they also lost weight, so the cause is not fully clear.
Dark circles
- Vrcek I, Ozgur O, Nakra T (2016). Infraorbital dark circles: a review of the pathogenesis, evaluation and treatment. Journal of Cutaneous and Aesthetic Surgery. doi:10.4103/0974-2077.184046Moderate evidenceReviewDark circles have several causes, including extra pigment, thin skin showing vessels and shadowing from hollows, so the right approach depends on the cause.
Sleep
- Watson NF, Badr MS, Belenky G, et al. (2015). Recommended amount of sleep for a healthy adult: a joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. doi:10.5665/sleep.4716Strong evidenceGuidelineSleep experts recommend that adults regularly get at least seven hours of sleep a night for good health.
- Sundelin T, Lekander M, Kecklund G, et al. (2013). Cues of fatigue: effects of sleep deprivation on facial appearance. Sleep. doi:10.5665/sleep.2964Moderate evidenceExperimentAfter sleep deprivation, faces were seen as having droopier eyelids, redder and more swollen eyes, darker under-eye circles and paler skin.
- Axelsson J, Sundelin T, Ingre M, et al. (2010). Beauty sleep: experimental study on the perceived health and attractiveness of sleep deprived people. BMJ. doi:10.1136/bmj.c6614Moderate evidenceExperimentPhotos taken after a night of sleep loss were rated less healthy, less attractive and more tired than photos of the same people after normal sleep.
- Oyetakin-White P, Suggs A, Koo B, et al. (2015). Does poor sleep quality affect skin ageing?. Clinical and Experimental Dermatology. doi:10.1111/ced.12455Limited evidenceCross-sectional studyWomen who slept poorly showed more signs of skin ageing and slower skin-barrier recovery than good sleepers; a small study that cannot prove cause.
Body fat and facial definition
- Coetzee V, Chen J, Perrett DI, Stephen ID (2010). Deciphering faces: quantifiable visual cues to weight. Perception. doi:10.1068/p6560Moderate evidenceCross-sectional studyFace width-to-height, cheek-to-jaw width and outline measures tracked body mass index in African and European faces, and observers used them to judge weight.
- Coetzee V, Perrett DI, Stephen ID (2009). Facial adiposity: a cue to health?. Perception. doi:10.1068/p6423Moderate evidenceCross-sectional studyHow much body fat a face appears to carry predicted how healthy and attractive it looked, and was also linked with some real health measures.
Nutrition
- Morton RW, Murphy KT, McKellar SR, et al. (2018). A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. British Journal of Sports Medicine. doi:10.1136/bjsports-2017-097608Strong evidenceMeta-analysisExtra protein modestly increased muscle gains from resistance training, with little added benefit beyond about 1.6 g per kg of body weight a day.
- Whitehead RD, Re D, Xiao D, Ozakinci G, Perrett DI (2012). You are what you eat: within-subject increases in fruit and vegetable consumption confer beneficial skin-color changes. PLOS ONE. doi:10.1371/journal.pone.0032988Limited evidenceCohort studyIn 35 people tracked for six weeks, eating more fruit and vegetables shifted skin colour in ways others could see and rated as healthier.
Hydration
- EFSA Panel on Dietetic Products, Nutrition and Allergies (2010). Scientific opinion on dietary reference values for water. EFSA Journal. doi:10.2903/j.efsa.2010.1459Strong evidenceGuidelineEuropean food-safety experts set adequate total water intake at about 2.0 litres a day for women and 2.5 litres for men, counting water from food and drinks.
- Palma L, Marques LT, Bujan J, Rodrigues LM (2015). Dietary water affects human skin hydration and biomechanics. Clinical, Cosmetic and Investigational Dermatology. doi:10.2147/CCID.S86822Limited evidenceExperimentAdding about two litres of water a day for a month improved skin hydration measures, mostly in people who drank little before; a small, short study.
Training and activity
- Paluch AE, Bajpai S, Bassett DR, et al. (2022). Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts. The Lancet Public Health. doi:10.1016/S2468-2667(21)00302-9Strong evidenceMeta-analysisMore daily steps went with lower risk of death, levelling off around 6,000 to 8,000 steps for older adults and 8,000 to 10,000 for younger adults.
- Bull FC, Al-Ansari SS, Biddle S, et al. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine. doi:10.1136/bjsports-2020-102955Strong evidenceGuidelineThe WHO advises adults to do 150 to 300 minutes of moderate activity a week (or 75 to 150 vigorous), plus muscle strengthening on two or more days.
- Schoenfeld BJ, Ogborn D, Krieger JW (2017). Dose-response relationship between weekly resistance training volume and increases in muscle mass: a systematic review and meta-analysis. Journal of Sports Sciences. doi:10.1080/02640414.2016.1210197Moderate evidenceMeta-analysisMore weekly sets per muscle led to more muscle growth, with around ten or more sets a week outperforming lower volumes.
Grooming and facial hair
- Dixson BJ, Brooks RC (2013). The role of facial hair in women's perceptions of men's attractiveness, health, masculinity and parenting abilities. Evolution and Human Behavior. doi:10.1016/j.evolhumbehav.2013.02.003Moderate evidenceExperimentWomen rated heavy stubble as most attractive, while full beards scored highest for perceived health and parenting ability.
- Sadr J, Jarudi I, Sinha P (2003). The role of eyebrows in face recognition. Perception. doi:10.1068/p5027Moderate evidenceExperimentRemoving the eyebrows from photos of famous people made them harder to recognise than removing the eyes, showing how much brows shape a face.
Mindset and posture
- Fardouly J, Vartanian LR (2016). Social media and body image concerns: current research and future directions. Current Opinion in Psychology. doi:10.1016/j.copsyc.2015.09.005Moderate evidenceReviewSocial media use is linked with greater body image concerns, with comparing your looks to others a likely driver, though most studies are correlational.
- Alam M, Walter AJ, Geisler A, et al. (2018). Association of facial exercise with the appearance of aging. JAMA Dermatology. doi:10.1001/jamadermatol.2017.5142Limited evidenceExperimentIn a tiny pilot without a control group, middle-aged women doing 20 weeks of facial exercises showed slightly fuller cheeks; firm conclusions need larger trials.
- Nair S, Sagar M, Sollers J, et al. (2015). Do slumped and upright postures affect stress responses? A randomized trial. Health Psychology. doi:10.1037/hea0000146Limited evidenceRandomised trialPeople taped into an upright posture during a stressful task reported better mood and self-esteem than those held slumped; a single small trial.
Habits and follow-through
- Harkin B, Webb TL, Chang BPI, et al. (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin. doi:10.1037/bul0000025Strong evidenceMeta-analysisAcross 138 randomised studies, getting people to monitor their progress helped them reach their goals, a small-to-medium effect that was larger when progress was recorded or shared.
- Gollwitzer PM, Sheeran P (2006). Implementation intentions and goal achievement: a meta-analysis of effects and processes. Advances in Experimental Social Psychology. doi:10.1016/S0065-2601(06)38002-1Strong evidenceMeta-analysisAcross 94 tests, adding an if-then plan for when, where and how to act helped people reach their goals, a medium-to-large effect compared with holding the goal alone.
- Silverman J, Barasch A (2023). On or off track: how (broken) streaks affect consumer decisions. Journal of Consumer Research. doi:10.1093/jcr/ucac029Moderate evidenceExperimentAcross seven studies, people shown a log that highlighted an unbroken streak engaged more afterwards than people shown a broken one, and the gap shrank when a broken streak could be repaired.
- Mazeas A, Duclos M, Pereira B, Chalabaev A (2022). Evaluating the effectiveness of gamification on physical activity: systematic review and meta-analysis of randomized controlled trials. Journal of Medical Internet Research. doi:10.2196/26779Moderate evidenceMeta-analysisAcross 16 randomised trials, programmes using game elements raised physical activity by a small-to-medium amount, and a smaller benefit remained about 14 weeks after they ended.
- Keller J, Kwasnicka D, Klaiber P, et al. (2021). Habit formation following routine-based versus time-based cue planning: a randomized controlled trial. British Journal of Health Psychology. doi:10.1111/bjhp.12504Moderate evidenceRandomised trialIn 192 adults tracked for 84 days, those who formed an everyday nutrition habit took a median of 59 days to reach peak automaticity, and repeating the planned behaviour was a key predictor.
- Gardner B, Abraham C, Lally P, de Bruijn GJ (2012). Towards parsimony in habit measurement: testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index. International Journal of Behavioral Nutrition and Physical Activity. doi:10.1186/1479-5868-9-102Moderate evidenceMethod or technical reportA four-statement scale on how automatic a behaviour feels was reliable and behaved as habit theory predicts in several datasets, making it a short way to track whether a routine is becoming a habit.
- Lally P, van Jaarsveld CHM, Potts HWW, Wardle J (2010). How are habits formed: modelling habit formation in the real world. European Journal of Social Psychology. doi:10.1002/ejsp.674Moderate evidenceCohort studyAmong volunteers whose data fitted the model, a new daily habit took a median of 66 days to get near its peak automaticity, ranging from 18 to 254, and missing one day did not derail it.
- Fry JP, Neff RA (2009). Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. Journal of Medical Internet Research. doi:10.2196/jmir.1138Moderate evidenceSystematic reviewOf 19 studies on weight, activity and diet, 11 found that periodic prompts such as reminder messages helped, more so when frequent, but the studies lacked long-term follow-up.
- Kivetz R, Urminsky O, Zheng Y (2006). The goal-gradient hypothesis resurrected: purchase acceleration, illusionary goal progress, and customer retention. Journal of Marketing Research. doi:10.1509/jmkr.43.1.39Moderate evidenceExperimentIn field studies of reward programmes, people bought coffee and rated songs more often as the reward got closer, and cards with two bonus stamps were completed faster than plain cards needing the same purchases.
- Deci EL, Koestner R, Ryan RM (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin. doi:10.1037/0033-2909.125.6.627Moderate evidenceMeta-analysisAcross 128 experiments, tangible rewards and rewards promised in advance for doing or finishing a task reduced later free-choice interest in it, while positive feedback increased interest.
- Dai H, Milkman KL, Riis J (2014). The fresh start effect: temporal landmarks motivate aspirational behavior. Management Science. doi:10.1287/mnsc.2014.1901Limited evidenceCross-sectional studyIn three archival datasets, Google searches for 'diet', gym visits and new goal commitments all rose after fresh-start moments such as a new week, month, year or semester, a birthday or a holiday.
- Nunes JC, Drèze X (2006). The endowed progress effect: how artificial advancement increases effort. Journal of Consumer Research. doi:10.1086/500480Limited evidenceExperimentPeople given a ten-step task with two steps already marked complete were more likely to finish it, and finished sooner, than people given an eight-step task from scratch.
Photos and measurement
- Kartynnik Y, Ablavatski A, Grishchenko I, Grundmann M (2019). Real-time facial surface geometry from monocular video on mobile GPUs. arXiv. SourceModerate evidenceMethod or technical reportDescribes the face mesh model that estimates 468 3D landmarks from a single ordinary camera in real time on a phone, the basis of our measurements.
- Ward B, Ward M, Fried O, Paskhover B (2018). Nasal distortion in short-distance photographs: the selfie effect. JAMA Facial Plastic Surgery. doi:10.1001/jamafacial.2018.0009Moderate evidenceMethod or technical reportA camera held about 30 cm away makes the nose look roughly 30% wider than one 1.5 m away, so close-up selfies distort facial proportions.
Measurement precision
- de Vet HCW, Terwee CB, Knol DL, Bouter LM (2006). When to use agreement versus reliability measures. Journal of Clinical Epidemiology. doi:10.1016/j.jclinepi.2005.10.015Strong evidenceMethod or technical reportWhen the aim is to track change in the same person, the size of the measurement error between repeats is the preferred yardstick, rather than how well a tool tells people apart.
- Weir JP (2005). Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. Journal of Strength and Conditioning Research. doi:10.1519/15184.1Strong evidenceMethod or technical reportExplains how the standard error of measurement turns repeated measurements into a confidence range around one score and into the smallest change that signals a real difference.
- Wang G, Li W, Aertsen M, et al. (2019). Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing. doi:10.1016/j.neucom.2019.01.103Limited evidenceMethod or technical reportIn brain scan segmentation, re-running a model on randomly altered copies of the same image estimated its uncertainty better than model-based methods alone and reduced overconfident errors.
Fairness across groups
- Grother P, Ngan M, Hanaoka K (2019). Face recognition vendor test part 3: demographic effects. NIST Interagency Report 8280. doi:10.6028/NIST.IR.8280Strong evidenceMethod or technical reportA US government test of nearly 200 face algorithms found most were less accurate for some age, sex and race groups, with large differences between algorithms.
- Buolamwini J, Gebru T (2018). Gender shades: intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research. SourceModerate evidenceMethod or technical reportCommercial face-analysis systems made far more errors on darker-skinned women than on lighter-skinned men, showing why tools must be tested across skin tones.
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