Latest Articles

The BlueCo Dividend: Quantifying the Causal Impact of Chelsea’s Takeover on Strasbourg

Has BlueCo’s multi-club vision for RC Strasbourg actually paid off? On the surface, a 7th-place finish and European qualification signal a revolution in Alsace. However,

The Disappearing Correlation: Why “Duty” Fails to Drive Demographics

Europe is facing a demographic winter. As birth rates plummet across the continent, everyone is looking for answers. A common, popular narrative is very popular:

Beyond Correlation: A Practical Guide to the Backdoor Criterion in Python 

Estimating the effect of one variable on another is at the core of causal inference. However, doing this with observational data can be challenging, particularly

Europe’s Strongest Factory is in Ireland 

Across Europe, most manufacturing sectors are considered to be at least flat. Industrial production in many of the top European economies has remained essentially unchanged

Do Countries with High Wine Consumption Live Longer? A Causal Peek at the Numbers

Luxembourg tops global wine consumption at 67 litres per person per year and also boasts one of the world’s highest life expectancies. Portugal, France, Italy,

Saudi Arabia’s Football Gamble: Can Spending Alone Build a Global League?

On 22 January 2023, Cristiano Ronaldo made his first official appearance for Al-Nasr against Al-Ettifaq. It seemed like just another match, but it marked a

Parallel Trends: The Make-or-Break Assumption for Difference-in-Differences

Difference-in-Differences (DiD) is a widely used technique to estimate causal effects when randomized experiments are not feasible. From policy evaluation to marketing campaign effectiveness, DiD

Causal AI in Action: Drive Conversions with Uplift Modeling

In the world of marketing, deciding which customers to target with specific promotions can feel like a never-ending puzzle — especially when budgets are constrained

Causal Inference with Python: An Ultimate Guide to Propensity Score Matching

Evaluating the impact of treatments or interventions is critical in various fields, including business and healthcare. Determining whether a specific action produces the desired effect

Mastering Causal Inference with Python: A Guide to Synthetic Control Groups

One can feel intrigued when a newspaper like the Washington Post writes an article about the statistical method. Statistical modeling isn’t usually the most exciting