How to Generate Bogus Conclusions (E-Cig Study Edition)

[NoOneMan]

51. The researchers checked 1 year later

Firstly, its likely the 85% statistic is from a separate international study (note the citation included in the abstract) and not included in their data rollout. In their sample data, 94% of the e-cig users intended to quit (and only 87% of non-users did).

In terms of their study data, 40% of e-cig users intended to quit in 6 months vs 30% of non users. 54% of e-cig users intended to quit, but not in 6 months, vs 57% of non-users. And the e-cig users who wanted to quit in 30 days was 8% vs 6% among non-users.

Clearly, e-cigarette users were more likely to say they wanted to quit earlier when the study started and those intending to quit were a larger portion of the group.

After 1 years, 10% of e-cig users quit vs 14% of non-users.

Come on now....Let's not be overly obtuse here. You are showing confirmation bias.

You also ignored this:

Among US quitline callers, e-cigarette users were less likely to have quit at 7 months than nonusers

Do you recognize that this study starts out by excluding every person who ever quit using e-cigs?

It also isn't including everyone who already quit cold-turkey or with patches. This is a longitudinal analysis of a main population (smokers) subdivided into two groups. I don't have a clue on why they would look at past smokers in a longitudinal study. That's absurd, crazy science.