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Recent Posts
- Steven Krivit continues to trash Andrea Rossi and his LENR technology. — [LINK]
- Interview with Adam Lashinsky — [VIDEO]
- Why some people are more innovative — [VIDEO]
- Forbes editor deciphers Steve Jobs’s Apple. — [VIDEO]
- Jason Ruspini rebuts Eric Zitzewitz on the regulation of political prediction markets. — [COMMENT]
- Eric Zitzewitz petitions the CFTC in favor of real-money prediction markets about politics. — [TEXT]
- Global warming is a big scam. — [LINK]
- A Swarm of Nano Quadrotors — [VIDEO]
- The Tragedy of the Commons — [VIDEO]
- Guy Kawasaki on Steve Jobs — [VIDEO]
- Inside Apple — [VIDEO]
- Mitt Romney’s taxes — [LINKS]
- A critique of Apple’s multimedia iBooks. — [LINK]
- Does Apple lack “generosity”? — [LINKS]
- Apple Education Push — [LINKS]
- Water Crystals — [DOCUMENT]
- Apple’s e-book software will allow publishers to make textbooks more interactive. — [LINKS + VIDEO]
- Alain Soral is France’s most dangerous intellectual… (dangerous for the French plutocrats, that is). — [VIDEO]
- Computers thru time — [CHART]
- NASA has finally understood the theorical basis of LENR (low-energy nuclear reactions). — [VIDEO]
Tag Archives: teams
In most cases, the team (including the best predictors) outshines the best predictor working alone.
I had a question about VentureBeat’s statement, and Leslie Fine has answered it. VentureBeat: As everyone has known since the modern corporation was invented, employees such as executive assistants or production line managers often have better information and more accurate … Continue reading →
Posted in All Best Posts Ever, Analysis (Accuracy & Precision), Analysis (Meta), Business Administration, Cases, Collective Forecasting, Consulting
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Tagged accuracy, Collective Forecasting, collective intelligence mechanisms, collective intelligence that predicts, corporate intelligence, CrowdCast, employees, information aggregation, information aggregation mechanisms, inklings, insights, Leslie Fine, organizational intelligence, Predictions, predictors, teams
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