[nathan_compton]

Typically surveys are adjusted for sampling biases before reporting. That appears to be the case here. So there is usually some attempt to account for the biases in the sampled population.

The impulse to ask "what population was sampled?" is good but its not always a straight line from there to "these results directly reflect that sampling bias."

In fact, from the page you posted: "Data for the general U.S. population (including the High Net Worth oversample) were weighted to Census targets for education, age, gender, race/ethnicity, region and household income. A full methodology is available."

I would presume that the headline number attempts to account for sampling bias.

[annjose]

I agree with you - there’s usually some adjustment for sampling bias, and this study says it is matching Census targets. But I had to go three levels down to see that info before I derive any meaning from the number.

My concern is that headlines like “x% of adults do y” get repeated without anyone (sometimes even journalists writing the article) seeing the methodology or nuance behind them. Context matters.

[dclowd9901]

Still, it lowers the resolution of the results if you have to throw out a significant portion of the interviews.

[vel0city]

You're not just throwing them out though, those responses do have input. Their input is just weighted.

https://www.pewresearch.org/methods/2018/01/26/how-different...