Public Disclosure Commission records show that five of those who signed the letter calling for increased WA State spending - Microsoft General Counsel and Code.org Director Brad Smith, Code.org CEO Hadi Partovi, Madrona VC and Amazon.com Director Tom Alberg, Ignition Partners VC Brad Silverberg, Trilogy VC John Stanton - contributed money in 2010 to defeat I-1098, an initiative for a WA state income tax. Other contributors to Defeat 1098 included Amazon CEO Jeff Bezos, Amazon exec and Code.org Director Jeff Wilke, Microsoft Corporation, and other Microsoft execs, including then-CEO Steve Ballmer. After I-1098 went down in flames, Ballmer announced plans to sell $2B of Microsoft stock that might have been subject to as much as $180 million in state taxes under the quashed proposal.
No profit left behind: Across the country, Pearson sold the Los Angeles Unified School District an online curriculum that it described as revolutionary - but that had not yet been completed, much less tested across a large district, before the LAUSD agreed to spend an estimated $135 million on it. Teachers dislike the Pearson lessons and rarely use them, an independent evaluation found.
New UW Study: "College undergraduates who were not computer science majors (in order to focus on recruitment) entered a classroom in t(he computer science department at Stanford University, which was decorated in one of two ways (Cheryan et al., 2009). For half the participants, the room had objects that other undergraduates associated highly with computer science majorsâ"Star Trek posters, science fiction books, and stacked soda cans. For the other half of participants, the room contained objects that other undergraduates did not associate with computer science majorsâ"nature posters, neutral books, and water bottles. Women in the room that did not contain the stereotypical objects expressed significantly more interest in majoring in computer science than those in the room that did fit the stereotypes. For men, the environment did not affect their interest in computer science (Cheryan et al., 2009)."
All seems condemned in the long run to approximate a state akin to Gaussian noise. -- James Martin