Millennial cherry-picking

Posted to Statistics  |  Tags: ,  |  Nathan Yau

Emily Beam highlights confirmation bias in articles recently suggesting that more millennial men pine for the days when men worked and women stayed at home, based on results from the General Social Survey.

The GSS surveys are pretty small – about 2,000-3,000 per wave – so once you split by sample, and then split by age, and then exclude the older millennials (age 26-34) who don’t show any negative trend in gender equality, you’re left with cells of about 60-100 men ages 18-25 per wave. Standard errors on any given year are 6-8 percent.

Mind your data.

Favorites

Marrying Age

People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

How to Spot Visualization Lies

Many charts don’t tell the truth. This is a simple guide to spotting them.