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Explore the methodological challenges and contradictory findings in Tor network research through this 41-minute conference talk from 39C3. Examine how scientific studies of the Darknet have produced wildly different results, with marketplace percentages ranging from 2.7% to 50% across peer-reviewed publications. Investigate the root causes of these contradictions by analyzing how slight changes in methodology, data selection, and definitions can completely alter research outcomes and our understanding of what the Darknet actually is. Learn about the inherent difficulties in studying a network designed to counter surveillance, the limitations researchers face when gathering reliable information, and how data source choices can predetermine study results before research even begins. Discover the importance of context when interpreting data about onion services and their controversial role in enabling both free speech and illegal activities. Gain critical skills for evaluating Darknet research by understanding what information is available to researchers, current disagreements in data interpretation, and common misrepresentations of research results. Develop the knowledge needed to distinguish between what we actually know about the Darknet, what we might discover in the future, what we can reasonably assume but never prove, and what should remain unknown.
