Why You Keep Falling for Dumb Data Tricks (And How Simple Math Fixes It)

1. 1Read critically to identify potential biases in data presentation
2. 2Apply basic statistical concepts to evaluate data quality
3. 3Run sanity checks on data to detect outliers or inconsistencies
4. 4Configure data visualizations to accurately represent the data
5. 5Test assumptions by re-examining the data with a skeptical eye

Data analysts, scientists, and product managers benefit from understanding how to properly interpret data to make informed decisions, and simple math can help them avoid common pitfalls

💡 Basic math can help you critically evaluate data and avoid being misled

💡 Simple math can save you from dumb data tricks!