After years of pretending being a prediction market consultant, Robin Hanson finally confesses nobody has ever cared about his stuff. – [LINK]

The Emperor of enterprise prediction markets is naked.

Robin Hanson:

I can confirm that this disinterest is real payday loans Philadelphia. For example, when I try to sell firms on internal prediction markets wherein employees forecast things like sales and project completion dates, such firms usually don’t doubt my claims that such forecasts are cheap and more accurate. Nevertheless, they usually aren’t interested.

The other take about forecast accuracy.

Google Prediction API gives you access to Google’s sophisticated machine learning algorithms to analyze a wide range of data and provide predictions for likely outcomes. — [FORECASTING TECH]

You can build a predictive model to find hidden patterns in financial data, or else.

–> Google Prediction APIMachine learning for your business.

Cold Fusion Prediction Markets – [HISTORY]

In April 1989, Robin Hanson created this prediction market:

By 1/1/91 a &lt-1 liter device will have generated over 1 watt of power output more than input from room-T fusion, including amortized power to create/separate components.

I suppose that InTrade will be willing to float E-cat contracts. We&#8217-ll see.

Wall Street analystss view is too short term.

And that includes Jason Ruspini.


– Keep in mind that, at inception, Apple also underestimated the iPad numbers. They had to ramp up production, later on.

– See Paul Hewitt&#8217-s comment, below.

Whats different about Predictalot?

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A predictalot user asked:

What&#8217-s the difference between predict a lot y Bolsa de predicciones? they have the same things or at least very similar. ?Are you the same? They have predictions, groups, events etc. the only difference is the language- BP is in spanish.

This is my answer.

The main difference is that on bolsadepredicciones (and other prediction markets like crowdcast, inklingmarkets, intrade, newsfutures, hubdub RIP, and &#8212- a new site with a nice/fresh look and good social hooks) every prediction is independent (separate) and there are at most a few thousand.

In predictalot, all predictions are interrelated (predicting Spain to win automatically increases Spain&#8217-s odds of reaching the knockout round) and there are millions and millions of predictions possible, far more than other sites.

We also think our interface is easier to use than others, but you be the judge.

Predictions are flowing in about every three minutes. Here are some from the last half hour:

Chile will finish second in their group. Current odds: 33.50%.
Spain will finish first in their group. Current odds: 52.48%.
Spain will play Portugal in the knockout stage. Current odds: 48.77%.
Roger joined the group &#8216-inetco&#8217-
Spain will advance further than Greece. Current odds: 76.93%.
Spain will not advance to the Knockout Stage. Current odds: 23.13%.
Spain will advance to the Knockout Stage. Current odds: 77.86%.
Both United States and Uruguay will advance to Quaterfinals. Current odds: 60.04%.

Finally, here are instructions for playing predictalot on your iPad:

  1. Click Safari
  2. Go to

Playing predictalot on iPad

A Note on the Impotence of the Efficient Market Hypothesis

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No one who makes a living trading really cares about EMH, but I&#8217-m not sure why failure to predict under EMH is that surprising. Markets do more discounting than predicting. That&#8217-s part of the reason why stocks are volatile &#8212- the last data point tends to be extrapolated into perpetuity. It is true that factors like emotion and momentum additionally move prices, but to me this points to a fundamental challenge in valuation: the idea that there is an &#8220-intrinsic&#8221- value, when in fact all values interact, with prices reflecting structural realities and other prices. The misallocation in the housing bubble was to some extent already a mispricing of money in the form of rates. What was the &#8220-right&#8221- price for housing given the price of money?

The price of money in turn was influenced by the demographic savings glut that previously fueled the tech bubble. At this point, governments failing to predict the past &#8212- the trend of increased longevity &#8212- seems like the biggest problem. The escalated contentiousness in the Senate is, in part, a symptom of this slow motion failure and the &#8220-lower stakes&#8221- for all of us.