How so? Social norms change. White-lie X 10 years ago might be replaced with White-lie Y today. That doesn't make comparing X to Y valid.
As mentioned, before you do the comparison, you *must* make an effort to understand the changing social norms and how that might impact a *known* flawed data source (i.e., self reported).
Then once you come up with a theory about the impact of social norms, you can try to test your theory... Condom sales? Up or down? Other birth control prescriptions, up or down? STDs, up or down? Preg-test sales, up or down? What about associated / related Google search data*?
The bottom line...accepting self-reported data at face value is a true fool's errand. The Science is clear on this. Let's just leave it at that for today.
* "Everybody Lies: Big Data, New Data, and what the internet can tell us about who we really are" by Seth Stephens-Davidowitz (a Harvard-trained economist, former Google data scientist)
As mentioned, before you do the comparison, you *must* make an effort to understand the changing social norms and how that might impact a *known* flawed data source (i.e., self reported).
Then once you come up with a theory about the impact of social norms, you can try to test your theory... Condom sales? Up or down? Other birth control prescriptions, up or down? STDs, up or down? Preg-test sales, up or down? What about associated / related Google search data*?
The bottom line...accepting self-reported data at face value is a true fool's errand. The Science is clear on this. Let's just leave it at that for today.
* "Everybody Lies: Big Data, New Data, and what the internet can tell us about who we really are" by Seth Stephens-Davidowitz (a Harvard-trained economist, former Google data scientist)
http://sethsd.com/everybodylies/