Watching a recommended movie is risky business. If the stars don’t align in your favor, you might find yourself nurturing a distrust of your source, forever altering conversations with friends and colleagues. Even when Oscar season rolls around, which should reliably provide lists of “good” movies, you might question if everyone sat through the same movie after scanning a few social media feeds. Does data science offer us evidence of something we might be missing?
Pascal Wallisch, Ph.D.. Photo credit: Yadin Goldman
“There is a tremendous diversity in appraisal for any given movie,” said Pascal Wallisch, Ph.D., clinical assistant professor at NYU. “It’s actually quite striking.” Wallisch, seeking to measure the reliability of movie critics, gathered ratings from critics, aggregator sites (think Rotten Tomatoes and The Internet Movie Database (IMDB)) and a multi-year study with 3,000-participants. After determining the correlations of reviews from a pool of over 200 movies, he admits to being astonished—there was not a single film with any hint of a “moderate degree of agreement.”
“The Science of Movies,” presented by Wallisch and organized by Think&Drink NYC’s Gil Avidor, is a stimulating yet relaxed evening talk, suitably tailored to seekers of intelligent nightlife. Wallisch, whose research interests hone in on the intersection of psychology and neuroscience, extolled the virtues of finding your “movie twin,” bemoaned the scarcity of originality (ahem, creativity) in present-day Hollywood, and explained what happens to a brain exposed to a healthy dose of M. Night Shyamalan. Continue reading