Skip to content

Instantly share code, notes, and snippets.

@crystalattice
Created August 29, 2017 00:09
Show Gist options
  • Select an option

  • Save crystalattice/5b20f92c9cb8b3d3c5b43fc97d8575df to your computer and use it in GitHub Desktop.

Select an option

Save crystalattice/5b20f92c9cb8b3d3c5b43fc97d8575df to your computer and use it in GitHub Desktop.
Biases
1. Measuring response in the winter vs. summer will skew the results towards the summer. If a seasonal check wanted to be made, a spring/summer check would be better.
2. People w/ anxiety are more likely to seek treatment than the general population. Many people think they are normal, or at least don’t think they suffer from anxiety, so they wouldn’t come to an anxiety clinic.
3. Correlation != causation. Including a special code on the billboard advertisement, i.e. a special URL, would show whether the increased traffic was due to the advertisement or something else. You would also have to see if there were any other possible influences to web traffic; at a minimum, look at historical traffic for that time frame as well as monitor traffic for a time period into the future.
4. It takes time for many marketing schemes to bear fruit, especially as regular and new customers may not have come in immediately after the new program was started. Advertising (or lack thereof) for the new program also has to be accounted for.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment