Analysing spurious correlations: Nicolas Cage is drowning people?

Recently noticed in my Facebook timeline several funny pictures with spurious correlations. The source is here - http://www.tylervigen.com/spurious-correlations. It has about 20 funny pictures like one above. Spurious correlations are wide known phenomena. But I decided to do some stats analysis about it to explain human psychology behind it. 

Following the User – Discovering the Value of Big Data

My talk at Big Data & Analytics Innovation Summit, Singapore, March 2015. I explain how we create good user stories using user path analysis.

Slides:



Video:

A/B testing, multiple comparisons, imaginary uplifts

Yesterday gave a talk on Web Analytics Wednesdays Singapore (analyticsmaturity.com).

If you made A/B test, found significant result, implemented to production and see no real improvement - you just suffered from "imaginary uplift". In this presentation I explain why this is happening (and so often!) and what do to about it.

Post with source code for all experiments is coming.

Cleaning up Legacy

Last Saturday gave a very short talk here - http://www.productcampsg.com/

How to make lean Big Data with six tools from Google

My old slide-deck on BigQuery, Google Charts and dashboards...



Also link to example and code - https://sites.google.com/site/leanbigdatawith6tools/

The hardest logic puzzle ever becomes even tougher

1.     Introduction

“The hardest logic puzzle ever,” originally presented by Boolos (1996), had already been amended several times in order to make it tougher. Rabern and Rabern (2008) have modified the behavior of Random to make it really random and avoid trivialization. Rabern and Rabern (2008) and Uzquiano (2010) analyzed a two-question solution using so called “head-exploding questions”.

The purpose of this note is to offer further modification that clearly makes the puzzle tougher. The solution for this modified puzzle explores our ability to extract information in situations of complete language ignorance by exploiting features of any possible language.