In part 4 I outlines why it is important to look at individual slices of the data as lumping all together would diminish the signal.… Read More »Prime Day Part 6 – looking at binomial distributions
We are back to lies, damn lies and statistics. We are now looking at chi square tests to analyse how well our data distribution fits… Read More »Prime Day Part 7 – a chi-square test of 1.4E-24
In the last part I argued that lumping all data together would diminish the signal we get. Statistical tools allow us to look at a… Read More »Prime Day Part 5 – looking at lucky and unlucky players
So how would we analyze the data? Let us start with the observed rate of Cubone and Ponyta and work backwards. Unfortunately this generates a… Read More »Prime Day Part 4 – avoiding a catch 22
What happens if we approach it from the Ingress point of view? Indications and clues The data we have Niantic announcement – colors linked to… Read More »Prime Day Part 3 – would this fit with Ingress data?
The analysis of shiny rates during the Ingress Day left me deeply unsatisfied. Allowing for a small amount of systematic bias and error in the… Read More »Prime Day Part 2 – history of shiny rates
Niantic wrote the following for the announcement of Ingress Prime Day: “Plus, as part of the celebration, Trainers will have an opportunity to encounter two… Read More »Prime Day Part 1 – Background
I woke up today to a lot of Enlightened players feeling cheated out of a win in Chicago. Please let me first start with a… Read More »Chicago Anomaly – a closer look at the scores
Glyph hacking is likely the most important skill to learn if you want to improve your efficiency of game play. FEV games has a great… Read More »Glyph Hacking – how many more items do you get?
This was my very first large operation – so how did this happen. And what did I learn along the way? One or two days… Read More »LYRIDS 2019 – the Antwerp Starburst world record – a report by Agent DrThod (UK)