Up till now, these questions about our online sexual behavior have, at best, been speculative. But at last, we have data – hard, authoritative data – on what we are really getting up to online when we think nobody is watching us. Two Boston University trained cognitive scientists, Dr Ogi Ogas and Dr Sai Gaddam, have crunched millions of data points from sites as diverse as Dogpile, AOL, OKCupid and Pornhub, to reveal the true nature of sexual desire in our Internet age. And they’ve published their findings in an incredibly provocative new book, A Billion Wicked Thoughts that charts what a billion people do when you put them in a “virtually darkened room”.
When I interviewed Ogi Ogas, he told me that A Billion Wicked Thoughts is the first scientific investigation of the “true nature of sexual desire”. More shockingly, he revealed to me what really turns on people. Men like watching, Dr Ogas explained, and they have an “unlimited appetite” for amateurs. More men search for photos of 50 year-olds than 19 year-olds. And women? Well, he explained, women like things altogether different.
A Billion Wicked Thoughts
Online Deviance and Perversions
What Do Women Want?
Business Opportunities For Porn Entrepreneurs
Is Online Porn Bad for You?
Sai Gaddam, Ph.D., conducted his doctoral research on biologically inspired models of machine learning. His doctoral dissertation explored visual pattern extraction and online learning in dynamic environments. After completing his PhD, he worked with a team at Boston University developing nanoscale neurons for mechatronic perception and memory. He collaborated with Hewlett-Packard to design nanoscale processors that mimic noisy, massively parallel brain computations, and now offers his data mining expertise to companies looking to understand customer preferences. He splits his...
Ogi Ogas is the author of the book, “A Billion Wicked Thoughts”. Dr. Ogi Ogas received his PhD in computational neuroscience from Boston University, where he designed mathematical models of learning, memory, and vision. Ogi was in the first set of Department of Homeland Security Fellows. As part of the DHS program he conducted research at MIT Lincoln Laboratory applying brain-based machine learning techniques to biothreat detection. He received a DHS Dissertation Award funding his work on a model of...