Pokemon Go

If you have read everything I have presented, then you likely will understand why I strongly believe that Niantic used the faction ownership (Resistance, Enlightened… Read More »Prime Day Part 9 – Summary, speculations and reflections

My original analysis was done pretty directly after the event. I generated the following plot: I presented a write-up here: https://www.reddit.com/r/TheSilphRoad/comments/9vdjix/analysing_dirty_data_why_i_believe_the_actual/ This early data got… Read More »Prime Day Part 8 – revisiting an older analysis

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