 Which is not true about our judgements of people from photos, according to the article?
Some blamed the BBC, some blamed those in Savile's immediate circle, but others blamed a simple error of human judgment. If we knew nothing about their criminal history, some of their photos might even appear attractive. But the idea that someone's features betray their character is something rooted deep within us; it's the reason why certain photos perform well on dating apps, or why trustworthy-looking politicians might rack up votes. 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. Through a study of 1,856 images ("controlled for race, gender, age and facial expression") they claim to have established the validity of "automated, face-induced inference on criminality, despite the historical controversy surrounding this line of enquiry." In other words, they believe that they've found a relationship between looking like a criminal and actually being one. 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. Lavater's work was criticised for being ridden with bias (black faces rarely emerged well from his analyses) but he was right in one respect: "Whether they are or are not sensible of it," he wrote, "all men are daily influenced by physiognomy."
 We are able to make objective decisions about people, keeping our opinions of their facial structure separate from the facts
 Our judgements are easily manipulated by small, hardly noticeable changes in photos  We are able to make objective decisions about people, keeping our opinions of their facial structure separate from the facts  We judge people in a way that compares them to people we've seen before that we know more about  We are all influenced by underlying bias when we see photos of other people