Independent Dissident. I don’t follow “The Science” (TM). I follow the Data. –“When there is no such thing as truth, you can’t define reality. & when you can’t define reality, the only thing that matters is power.” — Maajid Nawaz
Don’t follow the herd, follow your own internal compass
Ethics
"Veritas vos liberabit"
"The comes a time when one must take a position that is neither safe, nor politic, nor popular, but one must take it because it is right." -- Dr. Martin Luther King
"Rättvisa handlar inte om lika utfall, utan om lika spelregler" -- Alice Teodorescu
“The mediocre teacher tells. The good teacher explains. The superior teacher demonstrates. The great teacher inspires.” ― William Arthur Ward
When the facts change, I change my mind. What do you do, sir?" -- John Maynard Keynes
""Don't attribute to stupidity what can be adequately explained by a contract." -- Anonymous
"Without deviations from the norm, progress is not possible" -- Frank Zappa
"I must study politics and war that my sons may have liberty to study mathematics and philosophy and they in turn must study those subjects so that their children can study painting, poetry, music, architecture, statuary, tapestry, and porcelain." -- John Adams, Americas II president
"In a time of universal deceit - telling the truth is a revolutionary act." -- George Orwell
"The only thing necessary for the triumph of evil is for good men to do nothing." -- Edmund Burke
"Being normal is being merely average" -- Shawn Achor
“It is difficult to get a man to understand something, when his salary depends on his not understanding it.” -- Upton Sinclair
"I do not agree with what you have to say, but I'll defend to the death your right to say it." -- VoltaireSystems view
"Our organization was designed for a problem that no longer existed; we had brought an industrial age force to an information-age conflict." --Stan McChrystal- A/B Testing
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Tag Archives: sports
Garmin Heart Rate Monitor – Data Analysis
A friend of mine is a keen endurance athlete, and he kindly provided me with a Garmin Heart Rate Monitor GPS data file from one of his recent races, for analysis. The monitor collects data on time, position (lat,lon), altitude, … Continue reading
Posted in Bayes, Data Analytics, Pandas, Probability, PYMC, Python, sports, Statistics
Tagged Bayes, Data Analysis, GPS, Pandas, Probability, PYMC, Python, sports, XML
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Ski Tour 2020 Östersund – Race Analysis
I took the results from past Sunday’s Women’s Pursuit, 15 km, and did a bit of analysis. (The official results can be found here) Since pursuit means that each racer starts the current race with a delay based on performance … Continue reading
Marcia Longa 2020 – race statistics
Below some stat’s from this year’s Marcia Longa Cross Country Skiing. ‘
Vasaloppet 2018 – race time analysis
An analysis of race times for the ~11000 men and ~2000 women that participated in 2018 Vasaloppet. For explanations of the graphs, see earlier posts on Marcialonga or Tour de Ski. [Btw, the weird looking vertical orange/blue “spike” in the … Continue reading
Posted in Data Analytics, Numpy, Pandas, Python, sports, Statistics, Web
Tagged Data Analysis, Pandas, Python, sports, Statistics
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Tour de Ski Final climb – does age matter for performance ?
In an earlier post, I analyzed data from the Marcialonga Ski race. Marcialonga is one of the classic long distance ski races, where both elite’ as well as amateurs compete together. In fact, the vast majority of the competitors in … Continue reading
Posted in Bayes, Data Analytics, Math, Numpy, Pandas, Probability, PYMC, Python, SNA, sports, Statistics
Tagged Bayes, Matplotlib, Numpy, Probability, PYMC, Python, Scipy, sports, Statistics
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Tour de Ski 2019 Final Climb Analysis
Just a quickie analysis on the just finished race, comparing the climb times for women vs men, the top-28 of both genders. Once again, the results are consistent with my earlier findings on this topic: at elite’ level, the difference … Continue reading
Marcialonga Ski 2019 – some Analytics
Now, with the power grid finally – after 62 hours! – back in business, I’m able to continue my stats/analytics exploration of the past Marcialonga ski race. First, some basic stats about the race: Total number of participants: 5558, of … Continue reading
Posted in Bayes, Data Analytics, Numpy, Pandas, Probability, PYMC, Python, sports, Statistics
Tagged Bayes, Data Analysis, Numpy, Pandas, Probability, PYMC, Python, sports, Statistics, WebScraping
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Using Bayesian Inference to predict and bet on Italian Serie A Fotball
As my old timer readers know, I’be been using Bayesian Inference to predict and bet on various sporting events, such as FIFA World Cup, and IIHF World Championships. With some success. When the Italian premier division started for about a … Continue reading
Posted in Bayes, Data Analytics, Gambling, Machine Learning, Numpy, Probability, PYMC, Python, Simulation, Statistics
Tagged Bayes, Gambling, Machine Learning, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, Simulation, sports, Statistics, Technology
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Scientific Gambling – Bayesian prediction & betting results from FIFA World Cup 2018
32 teams, 64 games. 3 different ranking models tested, FIFA’s official, a “wisdom-of-crowds” (static), and a dynamic version of the wisdom-of-crowds model. Prediction results: 67% of game outcomes correctly predicted. Betting results best strategy (max probability), with uniform betting on … Continue reading
Posted in Bayes, Data Analytics, FIFA, Gambling, Probability, PYMC, Python, Statistics
Tagged Bayes, Gambling, Probability, PYMC, Python, sports
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Capturing NMEA sentences over WiFi using Python
In order to figure out how the NMEA-WiFi Gateway deals with clients, e.g. if it expects any “handshake” or any other communication setup protocol, I decided to write a simulator mimicing the gateway, and then using iRegatta 2 from Zifago … Continue reading
Posted in Data Analytics, Maritime Technology, Nautical Information Systems, NMEA, Numpy, performance, Python, Simulation, TCPIP
Tagged Communication, Data Analysis, iRegatta2, Network, NMEA, Numpy, performance, programming, Python, Simulation, sports, TCP/IP, Technology
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systems perestroika - éminence grise 