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Educate-Inspire-Change
Empty Suit
Definition: An amateur who's been given the power to set the goals & objectives for professionals to follow, and thinks of himself as a strong leader.Ethics
"Veritas vos liberabit"
"It's better to build something 100 people love, than something that 1M people kind-of-like" -- Brian Chesky
"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
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"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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- Guest Blogger @HaraldofW - All you ever wanted to know about Corona Sweden
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- Netherlands : Covid R-value jumps to 2...!*
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Tag Archives: Data Analysis
Netherlands : Covid R-value jumps to 2…!*
Firstly, I haven’t bothered to look into the exact maths of the famous R0-value that modellers & epidemiologists seem to love… However, my layman’s understanding is that it’s pretty much the growth factor, that is, if the R-value is 2, … Continue reading
Corona Sweden : Probability of dying per age group
Just for fun, hacked a simple Bayesian Model* to figure out how the probability of dying has changed for a few age groups Jan-Jun 2020, compared to the average of the same period 2015-2019. (In case anyone wonders why on … Continue reading
Posted in Bayes, Data Analytics, Epidemics, MCMC, PYMC
Tagged Bayes, Data Analysis, Epidemics, MCMC, PYMC
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“All deaths are equal, but some deaths are more equal than others”*
*Paraphrasing George Orwell, “Animal Farm”, 1945 [This is a highly personal rant, written because I’ve recently become so disappointed and disgusted over the Covid-Panic, and by media’s way to cover it, and I just need to get this sh*t out … Continue reading
Guest Blogger @HaraldofW – All you ever wanted to know about Corona Sweden
Introduction This is a great posting that’s going viral on Twitter as we speak, about the Swedish Corona experience, written by a Guest Blogger, twitter handle @HaraldofW a person who’s deep insights and great analytic skills I’ve come to appreciate … Continue reading
Sweden is back to normal!
SCB, the Swedish Government Agency for Statistics just released their weekly, preliminary stats on deaths year-to-date, all causes. Note that these stats are preliminary, and typically the last 4-5 days or so will get adjusted, slightly upwards. Still, it’s pretty … Continue reading
Corona US – republican vs democratic states
First, I don’t know anything about US politics, and frankly, I don’t care, but as an interesting example on data analysis, if nothing else, below is a graph showing Corona deaths_per_million, where US states are categorised into Republican vs Democratic, … Continue reading
Posted in Bayes, Data Analytics, Epidemics, MCMC
Tagged Bayes, Data Analysis, Epidemics, MCMC, Politics
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Corona – Latitude matters (!)
I was pointed towards looking into the possible impact of Latitude – yes, that’s right! – on Corona related deaths by Ivor Cummins, twitter handle @FatEmperor, who is very much involved in clearing up the pseudo-scientific mess the world has … Continue reading
Posted in Bayes, Data Analytics, Epidemics, MCMC, Probability, PYMC
Tagged Bayes, Data Analysis, Epidemics, MCMC, Probability, PYMC
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The Swedish Corona “Disaster”…
“April 2020 was the deadliest month in modern times….” Below, I’ve plotted deaths per 10.000 people for January to May, for each of the years 1990 – 2020. Basically, the graph is a matrix with a cell for the combination … Continue reading
Corona Sweden : Infection Fatality Rate
It’s been a while ago since I ran my MCMC-hack to estimate the Swedish Infection Fatality Rate, main reason being that each run takes an awful lot of computing time, around 10h, to get the MCMC to converge… and during … Continue reading
Posted in Bayes, Data Analytics, Epidemics, MCMC, Pandas, Probability, PYMC, Python, Statistics
Tagged Bayes, Data Analysis, Epidemics, Matplotlib, MCMC, Pandas, Probability, PYMC, Python, Statistics
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