Events entitled Celebrating Our Veterans and The Victims of Socialism prompted the professor to lash out at students in class, seemingly unaware that one was recording him.
FRANKLIN TOWNSHIP Nineteen students learned about flying, aviation principles and fickle Copper Country weather in a weeklong class through Michigan Technol
By GARRETT NEESE gneese@mininggazette.com FRANKLIN TOWNSHIP Nineteen students learned about flying, aviation principles and fickle Copper Country weath
track a phone belonging to jeffrey burl, an executive officer by the united states conference of catholic bishops. just before pillar published its story he resign. so how did the substack get the information? its own report describes the process sounding like a black mirror episode. and a warning, quote, commercially available app signal data does not identify the name of app users but instead correlates a unique mobile identifier to each mobile device using particular apps. signal data connected by apps after users consent to data collection is aggregated and sold by data vendors. it can be analyzed to provide time stamped location data and usage information for each guice. after users consent to data collection, how many times have you done that to make those pop ups go away? a spokeswoman said, quote, the alleged activities listed in that untributed blog post are infeasible from a technical standpoint and incredibly unlikely to occur.
Sun, 14 Mar 2021 08:05 UTC
Social justice activists have been arguing for some time that scientific societies and institutions need to address systemic sexism and racism in STEM disciplines. However, their rationale is often anything but scientific. For example, whenever percentages in faculty positions, test scores, or grant recipients in various disciplines do not match percentages of national average populations, racism or sexism is generally said to be the cause.
This is in spite of the fact that no explicit examples of racism or sexism generally accompany the statistics. Correlation, after all, is not causation. Without some underlying mechanism or independent evidence to explain a correlation of observed outcomes with population statistics, inferring racism or sexism in academia as the cause is inappropriate.