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the claim
Face reading is an accurate method for determining personality traits.
the verdict
REFUTED
the evidence says no
refutedsupported
the weight of evidence
2 sources for · 1 against

The evidence indicates that while some studies note observer consensus or links between certain facial characteristics and traits, academic consensus regards face reading (physiognomy) as a pseudoscience due to unsupported claims and methodological limitations.

Evidence for · 2
2018 · cited by 0
Research has shown that individuals can recognise personality traits from photographs of others’ faces. It is suggested that this is possible as faces contain a biometric ‘kernel of truth’ for personality traits. If biometric facial features facilitate person judgments, then those adept at face memory (super-recognisers) could show heightened ability at recognising personality traits. This study evaluates the links between face memory accuracy and trait judgment accuracy. We investigated the relationship between participants’ face memory, Big Five personality traits and their accuracy in judging the Big Five personality traits (from 50 self-selected photographs of unknown individuals) in a sample of 792 individuals. We replicated previous findings that participant extraversion relates to face memory ability. We find no relationship between other personality traits, personality judgment accuracy and face memory. Individual differences in detecting personality traits do not relate to their face memory abilities. We do replicate the relationship between extraversion and face memory ability in the largest sample to date. This suggests that super-recognising faces and traits are domain-specific abilities. If surveillance operators are expected to detect impending incidents, then our findings would suggest that this is something that super-recognisers would need training in.
Evidence against · 1
cited by 0
Physiognomy, or face reading and sometimes known by the later term anthroposcopy, is the practice of assessing a person's character or personality from their Physiognomy, or face reading and sometimes known by the later term anthroposcopy, is the practice of assessing a person's character or personality from their outer appearance—especially the face. The term physiognomy can also refer to the general appearance of a person, object, or terrain without reference to its implied characteristics—as in the physiognomy of an individual plant (e.g. plant life P… Physiognomy, or face reading and sometimes known by the later term anthroposcopy, is the practice of assessing a person's character or personality from their outer appearance—especially the face. The term physiognomy can also refer to the general appearance of a person, object, or terrain without reference to its implied characteristics—as in the physiognomy of an individual plant (e.g. plant life-form) or of a plant community (e.g. vegetation). Physiognomy as a practice meets the contemporary definition of pseudoscience, and is regarded as such by academics because of its unsupported claims; popular belief in the practice of physiognomy is nonetheless still widespread and modern advances in artificial intelligence have sparked renewed interest in the field of study. The practice was well-accepted by ancient Greek philosophers, but fell into disrepute in the 16th century while practised by vagabonds and mountebanks. It revived and was popularised by Johann Kaspar Lavater, before falling from favour in the late 19th century. Physiognomy in the 19th century is particularly noted as a basis for scientific racism. Physiognomy as it is understood today is a subject of renewed scientific interest, especially as it relates to machine learning and facial recognition technology. The main interest for scientists today are the risks, including privacy concerns, of physiognomy in the context of facial recognition algorithms. Notions of the relationship between an individual's outward appearance and inner character date back to antiquity, and occasionally appear in early Greek poetry. Siddhars from ancient India defined Samudrika Shastra as identifying personal characteristics with body features. Chinese physiognomy or Chinese face reading (mianxiang) dates back to at least the Spring and Autumn period. Early indications of a developed physiognomic theory appear in 5th century BC Athens, with the works of Zopyrus (featured in dialogue by Phaedo of Elis), an expert in the art. By the 4th century BC, the philosopher Aristotle frequently referred to theory and literature concerning the relationship of appearance to character. Aristotle was receptive to such an idea, evidenced by a passage in his Prior Analytics: Due to its legacy of racism and junk science masquerading as criminology, scientific study or discussion of the relationship between facial features and character has become taboo. It had previously posited many links. For example, there is evidence that character can influence facial appearance. Also, facial characteristics influence first impressions of others, which influences our expectations and behavior, which in turn influences character. Lastly, there are several biological factors that influence both facial appearance and character traits, such pre- and post-natal hormone levels and gene expression. The relationship between facial features and character traits such as political or sexual orientation is complex, but involves the fact that facial features can shape social behavior, partially as a result of the self-fulfilling prophecy effect. The self-fulfilling prophesy effect asserts that people perceived to have a certain attribute will be treated accordingly, and over time may engage in behaviors consistent with others' expectations of them. Conversely, social behavior such as addictions to drugs or alcohol, can shape facial features. A February 2009 article in New Scientist magazine reported that physiognomy is undergoing a small revival, with research papers trying to find links between personality traits and facial traits. A study of 90 ice hockey players found a statistically significant correlation between a wider face—a greater than average cheekbone-to-cheekbone distance relative to the distance between brow and upper lip—and the number of penalty minutes a player received for violent acts like slashing, elbowing, checking from behind, and fighting. This revival has continued in the 2010s with the rise of machine learning for facial recognition. For instance, researchers have claimed that it is possible to predict upper body strength and some personality traits (propensity to aggression) only by looking at the width of the face. Political orientation can also be reliably predicted. In a study that used facial recognition technology by analyzing the faces of over one million individuals, political orientation was predicted correctly 74% of the time; considerably better than chance (50%), human ability (55%) or even personality questionnaires (68%). Other studies have used AI and machine learning techniques to identify facial characteristics that predict honesty, personality, and intelligence. Machine learning algorithms can classify faces according to other information than just facial features studied by physiognomy. This includes temporary changes to the face (makeup, facial hair style, glasses) and even circumstances completely unrelated to the face (image quality, background colors, lighting conditions). In 2017, a controversial study claimed that an AI algorithm could detect sexual orientation 'more accurately than humans' (in 81% of the tested cases for men and 71% for women), but further research showed it was this non-frenologic information that allowed for such a high accuracy. Johann Kaspar Lavater On The Nature of Man, Which is the Foundation of the Science Which is called Physiognomy 1775 Mocan, Naci; Tekin,
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rails:sufficiency:refuted:single_source:for=0+2p:against=1+0p:partial_opposition=2 | v55:sufficiency

More for · 1
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Affect, personality, and facial expressive characteristics of older people. This study explored the relationship between emotion-based personality traits and expressive patterns in older subjects. Specifically, the study sought to demonstrate (a) that individuals have emotion expression biases, as revealed by structural and dynamic properties of the face, and (b) that there is a link between facial characteristics (as indexed by the judgments of trained and naive raters) and personality traits. An encoding/decoding paradigm was used; 30 adult, naive judges rated five emotion-pose photographs for each of 14 older subjects who had also completed a personality trait measure. Results indicated that individuals vary in their ability to accurately encode emotion states and that these patterns are linked to personality traits in an affect-specific way. The results are discussed within the framework of Darwinian theory and Plutchik's model of personality. Published in Psychology and aging (1987)
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This check searched the claim as stated. It did not run a separate search for evidence against it.
  1. Recognising faces but not traits; Accurate personality judgment from faces is unrelated to superior face memorypeer-reviewedno side taken
  2. PubMed: Affect, personality, and facial expressive characteristics of older people.peer-reviewedno side taken
  3. Physiognomyreferenceno side taken
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