question:  Which would the author think is most true?
context: Some blamed the BBC, some blamed those in Savile's immediate circle, but others blamed a simple error of human judgment. "He literally couldn't look more like a paedophile," read one post – one of many to state a supposedly incontrovertible truth: that Savile's criminal tendencies could have been detected from the shape of his features, his eyes, his hair. A recent paper, published by Xiaolin Wu and Xi Zhang of Shanghai's Jiao Tong University, claims to be the first to use machine learning and neural networks to attempt a fully automated inference of criminality from facial images, removing prejudice from the equation and testing the validity of our gut feelings. In other words, they believe that they've found a relationship between looking like a criminal and actually being one. All of Greek society, it was claimed, could benefit from this skill: it could assist with choosing an employee, a slave or a spouse, while its inherent vagueness made it intriguing to philosophers and useful for scientists who bent the theories to support their own beliefs. It became a recognised science in the Islamic world, and was used and taught in Europe throughout late antiquity and the early Middle Ages, despite nagging doubts among thinkers and physicians of the day. Theories of physiognomy, however, would persist beyond the Renaissance. The theories in della Porta's book were supported by dozens of detailed illustrations which, by comparing human faces to those of animals, suggested that they must surely share similar character traits. In the 17th century, Swiss poet Johann Caspar Lavater took della Porta's methodology and ran with it, commissioning artists to illustrate his popular Essays On Physiognomy – which, to the chagrin of his contemporary, the writer Hannah More, sold for "fifteen guineas a set… while in vain we boast that philosophy [has] broken down all the strongholds of prejudice, ignorance, and superstition."
output:  People know their photos are being judged by others when they post them so they critically judge them themselves first
options:  We post pictures of ourselves online that we think are attractive to gain approval from specific people whose eyes we want to catch  Regular people can use their social media accounts to help locate bad people before crimes are committed, because people are better at this than computers  People know their photos are being judged by others when they post them so they critically judge them themselves first  The application of machine learning in the study of social media photos could make it easier to find criminals before they commit cimes