Innovating with pollens — [VIDEO]
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Tag Archives: research
Cold fusion reactors are coming to America, so US energy economists (like Michael Giberson) cannot ignore LENR anymore. – [NEWS]
NyTeknik published an article today about Ampenergo, a newly formed US company which will be partnering with Andrea Rossi’s, company, Leonardo Corporation to commercialize his E-Cat technology.
Hello, Mike, wake up.
Andrea Rossi’s E-Cat is a cold fusion reactor able to convert few grams of nickel powder and a small amount of high pressure hydrogen into heat for many months. — [VIDEO]
Someone has translated in English the Italian documentary on Andrea Rossi’s cold fusion reactor:
For background story, click on the tags, “Andrea Rossi“, “E-cat“, or “LENR“.
ADDENDUM:
Andrea Rossis E-Cat is a cold fusion reactor able to convert few grams of nickel powder and a small amount of high pressure hydrogen into heat for many months. – [VIDEO]
Someone has translated in English the Italian documentary on Andrea Rossi’-s cold fusion reactor:
ADDENDUM:
Daryl Bems retrocausality paper discussed at Harvard – [VIDEO]
Riveting.
ADDENDUM: Daryl Bem at Colbert.
Andrea Rossis cold fusion reactor (E-cat) – [LINKS]
I have posted about Andrea Rossi’-s cold fusion reactor, which inputs nickel powder (with some catalysts) and hydrogen, and which outputs heat (factor 30) and copper. Since I have updated that post, I wanted to recommend you 2 interviews of him, and some physics articles.
The price of nickel is so low (20 euro per kg) that it should have to raise of orders of magnitude to make this tech uncompetitive. Nickel is very common on the Earth, and with a tiny percentage of the yearly extraction of nickel it would be possible to produce all the energy needed in the World.
– How Andrea Rossi financed his R&-D.
The powder has reportedly been used for 2.5 months continuously with an output of 10 kW (according to Rossi). It corresponds to a total energy of 18 MWh, with a consumption of up to 100 grams of nickel and two grams of hydrogen. If the production had been done with oil, two tons of oil would have been required.
– Finally, here’-s an index of all papers and articles on cold fusion, cold fusion reactors, low-energy nuclear reactions, chemically-assisted nuclear reactions, etc.: http://www.lenr-canr.org/
ADDENDUM:
David Servan-Schreiber on anti-cancer food – [VIDEO]
Emile’-s bro is on an crucial crusade —-battling cancer. Eating the right things helps a lot.
The Climate Gate scandal highlights the modus operandi of the academic mafia.
Required reading this Friday:
– How to Manufacture a Climate Consensus –- About expelling the non-believers from the academic journals publishing on climate science
– The Dog Ate Global Warming –- About the destruction of raw temperature data of Planet Earth
More info on climate change.
Meet professor Thomas W. Malone (on the right), from the MITs Center for Collective Intelligence.
Photo Credit: Neely Steinberg
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Tom Malone
MIT’-s Center for Collective Intelligence
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PS: The guy on the computer is Jason Carver.
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The best research papers on prediction markets
As seen by Andreas Graefe…-
IIF’s SIG on Prediction Markets
Research Papers
Basics
Several studies explain the concept of prediction markets and provide useful summaries of the method, e.g.
– Spann, M. &- Skiera, B. (2003). Internet-based Virtual Stock Markets for Business Forecasting, Management Science, 49, 1310-1326. [Full text]
– Wolfers, J. &- Zitzewitz, E. (2006). Prediction Markets in Theory and Practice, New Palgrave Dictionary of Economics and the Law (in press). [Full text]
– Wolfers, J. &- Zitzewitz, E. (2004). Prediction Markets, Journal of Economic Perspectives, 18, 107-126. [Full text]
– An overview and classification of 152 studies on prediction markets, published between 1991 and 2006, is provided by
Tziralis, G. &- Tatsiopoulos (2007). Prediction Markets: An Extended Literature Review, Journal of Prediction Markets, 1, 75-91. [Full text]
Evidence on the accuracy of prediction markets
This section summarizes research that analyzes the relative performance of prediction markets and other forecasting methods.
Markets vs. polls (election forecasting)
– Berg, J., Nelson, F. &- Rietz, T. (2008). Prediction Market Accuracy in the Long Run, International Journal of Forecasting, 24, 283-298. [full text]
– Erikson R. S. &- Wlezien C. (2007). Are Political Markets Really Superior to Polls as Election Predictors? Public Opinion Quarterly, forthcoming. [full text]
– Stix, G. (2008): When Markets Beat the Polls, Scientific American Magazine, March 2008. [Abstract]
Markets vs. unaided experts and groups
– Pennock, D. M., Lawrence, S., Giles, C.L. &- Nielsen, F.A. (2000). The Power of Play: Efficiency and Forecast Accuracy in Web Market Games, Technical Report 2000-168, NEC Research Institute. [full text]
– For predicting Oscar Award winners, Pennock et al. (2000) compared prices of the Hollywood Stock exchange to expert judgments of five movie columnists. On the day the experts revealed their forecasts, only one of them was better than the market predictions. From the day after, the market outperformed all experts as well as the expert consensus.
– Servan-Schreiber, E. J., Wolfers, J., Pennock, D. M. &- Galebach, B. (2004). Prediction Markets: Does Money Matter? Electronic Markets, 14, 243-251. [full text]
– For predicting the results of NFL games, Servan-Schreiber et al. (2004) compared the forecasts of two markets to those of 1,947 self-selected individuals. At the end of the season, the markets ranked 6th and 8th compared to the individuals. The human average – which would be the outcome of a classical survey – ranked 39th.
Markets vs. other forecasting methods
– Chen, K. Y., Plott, C. R. (2002). Information Aggregation Mechanisms: Concept, Design and Implementation for a Sales Forecasting Problem, Social Science Working Paper No.1131, California Institute of Technology, Pasadena. [full text]
– For forecasting sales figures, Chen and Plott (2002) reported on an internal market at Hewlett-Packard that beat the official forecasts of the company in 6 out of 8 events.
– Jones Jr., R. J. (2008). The state of presidential election forecasting – The 2004 experience, International Journal of Forecasting, 24, 308-319. [Abstract]
– Jones (2008) analyzed the forecasts of IEM’-s vote-share market for the 2004 election and compared them to traditional polls, a Delphi expert survey, regression models and a combination of all four approaches, the Pollyvote. He concludes that in comparison with most methods of forecasting the popular vote, the IEM was the superior performer.Spann, M. &- Skiera, B. (2003). Internet-based Virtual Stock Markets for Business Forecasting, Management Science, 49, 1310-1326. [Full text]
– Spann and Skiera (2003) compared forecast accuracy of an internal market at a large German mobile phone operator. They found that the market forecasts outperformed were more accurate than four extrapolation models (arithmetic mean, geometric mean, linear trend and exponential trend).
Corporate Markets
– Chen, K.-Y. &- Plott, C. R. (2002). Information Aggregation Mechanisms: Concept, Design and Implementation for a Sales Forecasting Problem. Social Science Working Paper No.1131, California Institute of Technology, Pasadena. [Full text]
– Cowgill, B., Wolfers, J. &- Zitzewitz, E. (2008). Using prediction markets to Track Information Flows: Evidence from Google, working paper. [Full text]
– Ortner, G. (1997). Forecasting Markets – An Industrial Application: Part I, working paper, TU Vienna. [Full text]
– Spann, M. &- Skiera, B. (2003). Internet-based Virtual Stock Markets for Business Forecasting, Management Science, 49, 1310-1326. [Full text]
Decision Markets
– Hanson, R. (1999). Decision Markets, IEEE Intelligent Systems, 14, 16-19.
Manipulation
– [Except] Hansen et al. (1998), most empirical studies report that manipulative attacks on result accuracy have not been successful historically (Rhode and Strumpf 2006), in the laboratory (Hanson et al. 2006), and in the field (Camerer 1998).
– Camerer, C. (1998): Can Asset Markets Be Manipulated? A Field Experiment with Racetrack Betting, Journal of Political Economy, 106(3), 457-482. [Abstract]
– Hansen, J., Schmidt, C. &- Strobel, M. (2004). Manipulation in Political Stock Markets – Preconditions and Evidence, Applied Economics Letters, 11, 459-463. [Abstract]
– Hanson, R., Oprea, R. &- Porter, D. (2006). Information Aggregation and Manipulation in an Experimental Market, Journal of Economic Behavior &- Organization, 60, 449-459. [full text]
– Rhode, P. W., and Strumpf, K. S. (2006). Manipulating Political Stock Markets: A Field Experiment and a Century of Observational Data, Working Paper, University of North Carolina(2006). [full text]
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More research papers on prediction markets
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