No ordinary objects Abandoned by the world, no longer of use, but still carefully repaired and preserved, these were no ordinary objects. The reasons for their maintenance remain a mystery. At this point, they could only be described as "art". No—not so much "art" as something that exceeds art... Hyperart. Genpei Akasegawa & Matt Fargo, Hyperart: Thomasson artrepairthomassonsobjects
Hyperart: U.S. Rail The steepest grade on U.S. main-line track is at the small town of Saluda, on a Norfolk Southern route between Spartanburg, South Carolina, and Asheville, North Carolina. The grade goes on for three miles at a slope of 4 or 5 percent. Trains have not been running on the line since 2001, but the tracks are still maintained. Brian Hayes, Infrastructure: A Guide to the Industrial Landscape thomassonsgeographytransportation
Thomassons This was 1982, the year that Gary Thomasson was batting cleanup for the Yomiuri Giants. Thomasson had the unfortunate nickname of "The Electric Fan", which, if you think about it, was exactly what he was. Night after night, he stood in the batter's box, whiffing mightily at the ball, down on three strikes every time. He had a fully-formed body and yet served no purpose to the world. And the Giants were still paying a mint to keep him there. It was a beautiful thing. I'm not being ironic here either. Seriously, I can't think of any way to describe Gary Thomasson but as "living hyperart". Genpei Akasegawa & Matt Fargo, Hyperart: Thomasson sportsthomassons
Why Most Published Research Findings Are False A Research Paper by John P.A. Ioannidis journals.plos.org There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. researchsciencetruth