“Writing off traffic to these widely-used sites and services as “illicit” is a generalization that demonizes people and organizations who choose technology that allows them to protect their privacy and circumvent censorship. In a world of increasing surveillance capitalism and internet censorship, online privacy is necessary for many of us to exercise our human rights to freely access information, share our ideas, and communicate with one another. Incorrectly identifying all onion service traffic as “illicit” harms the fight to protect encryption and benefits the powers that be that are trying to weaken or entirely outlaw strong privacy technology.Secondly, we look forward to hearing the researchers describe their methodology in more detail, so the scientific community has the possibility to assess whether their approach is accurate and safe. The copy of the paper provided does not outline their methodology, so there is no way for the Tor Project or other researchers to assess the accuracy of their findings.”
Source : Does Tor provide more benefit or harm? New paper says it depends | Ars Technica
Le choix des Français ? Vraiment ?
“The Moral Machine Experiment, une étude réalisée par des chercheurs du MIT, a compilé les choix moraux de 2,3 millions de participants issus de 233 pays et territoires. Elle révèle qu’il n’y a pas vraiment de code moral universel, et que la France se distingue souvent de ses voisins.”
Source : Une voiture autonome doit-elle épargner l’enfant ou la personne âgée ? Découvrez le choix des Français – Tech – Numerama
Statistical bullshit is a special case of bullshit in general, and it appears to be on the rise. This is partly because social media — a natural vector for statements made purely for effect — are also on the rise. On Instagram and Twitter we like to share attention-grabbing graphics, surprising headlines and figures that resonate with how we already see the world. Unfortunately, very few claims are eye-catching, surprising or emotionally resonant because they are true and fair.
Source : How politicians poisoned statistics – FT.com