Meta
-
Recent Posts
- Native apps are reigning on mobiles, but Jakob Nielsen strategically bets on web apps. — [LINK]
- 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]
Tag Archives: Indianapolis Colts
Super Bowl Analysis Highlights
The Colts entered the game with a 68% chance of winning. The Bears winning the coin toss made them 0.5% more likely to win. Devin Hester’s kick return for a touchdown made the Bears 10.25% more likely to win. Thomas … Continue reading
An Analysis of the 2007 Superbowl Using Price Changes on TradeSports
An Analysis of the Superbowl Using Price Changes on an Online Prediction Exchange – (TradeSports) – (PDF) – by Keith Jacks Gamble – 2007-02-08 ABSTRACT: I analyze Superbowl XLI by matching price changes for a futures contract on the winner … Continue reading
Some interesting historical data on the Superbowl
From Allen St. John of the WSJ (subscription required): Over the last 22 Super Bowls, 18 — 86% of them — were won by the team that came into the game after allowing fewer regular-season points. (In the 2004-05 regular … Continue reading
Posted in All Guest Authors's Posts, Analysis (Data), Betting, Exchanges & Markets, Market Prices & Probabilities
Tagged Allen St. John, Buffalo Bills, Chicago, Chicago Bears, Denver Broncos, Indianapolis, Indianapolis Colts, Lovie Smith, Miami, Miami Dolphins, National Football League, New England Patriots, New York Giants, New York Jets, NFL, Oakland Raiders, Peyton Manning, Philadelphia Eagles, quarterback, Rex Grossman, Super Bowl, Super Bowls
Leave a comment
SuperBowl XLI Winner: Indianapolis Colts – REDUX
TradeSports: 40.9% –> 69.6% BetFair: 40% –> 69,4% NewsFutures: 67% — (((Psstt… In passing, note that NewsFutures links to the Wikipedia entry on prediction markets in their contract documentation.)))
Super Bowl XLI Winner: Indianapolis Colts
TradeSports: 40.9% BetFair: 40%
Posted in Exchanges & Markets, Market Prices & Probabilities
Tagged Indianapolis Colts, Super Bowl
Leave a comment
Conditional Superbowl victory probabilities
From Tradesports contracts: 70% NFL.PATRIOTS 65% NFL.COLTS 36% NFL.SAINTS 33% NFL.BEARS Cross-posted from CaveatBettor. Last of 3 posts, the prior post available here.
Latest conditional probabilities for NFL playoff teams
As of noontime Mon Dec 8, the remaining 8 teams bayesian probabilities looked like this: 71% NFL.COLTS 70% NFL.PATRIOTS 67% NFL.CHARGERS 62% NFL.RAVENS 43% NFL.SEAHAWKS 41% NFL.EAGLES 35% NFL.SAINTS 32% NFL.BEARS I have included last week’s probabilities as well. Note … Continue reading
Posted in All Guest Authors's Posts, Exchanges & Markets, Market Prices & Probabilities
Tagged Baltimore Ravens, Chicago Bears, Chiefs, Dallas Cowboys, Eagles, Indianapolis Colts, National Football League, New England Patriots, New Orleans Saints, New York Jets, NFL, Seattle Seahawks, The Chargers, The Giants
Leave a comment
For those NFL fans who also subscribe to Bayes
Tradesports provides probability markets in Super Bowl and Conference victories. It logically follows that a team can only win the Super Bowl if it wins its conference, i.e. p (B | A) = 1. Bayes’ Theorem provides the probablity of … Continue reading
Posted in All Guest Authors's Posts, Exchanges & Markets, Market Prices & Probabilities
Tagged Baltimore Ravens, Chicago Bears, Chiefs, Dallas Cowboys, Eagles, Indianapolis Colts, National Football League, New England, New England Patriots, New Orleans Saints, New York Jets, NFL, Seattle Seahawks, Super Bowl, The Chargers, The Giants
Leave a comment