Advertisement: VIVVY, a video-based foreign language course for children, was introduced seventeen years ago.
Conclusion (So)
If you child uses VIVVY, you can expect him or her to become a successful university student.
Evidence
Amy, Matt, and Evelyn were among the first children to use it, and they are successful university students.
Evaluate
Parallel Flaw usually gives us argument with a lot of conditionals or quantifiers (which we can diagram), or they give us one of the Top 6 Famous Flaws:
- Necessary vs. Sufficient - Part vs. Whole - Ad Hominem - Unproven vs. Proven False - Causal - Sampling
This argument could technically be categorized as either of the last two. The Causal flaw is when an author overconfidently assumes one possible explanation for a curious fact, when other possible explanations could exist.
Here, our author is assuming that using VIVVY was an important causal factor in these three kids becoming successful university students. But how do we know if VIVVY made any difference? Maybe they also had a lot of after school tutoring. Maybe they studied really hard. The author is taking this one causal possibility and acting like it definitely happened.
The other flaw we could complain about is the Sample. Our author is promising every parent that if their child uses VIVVY, they can expect the same thing that happened when Amy, Matt, and Evelyn used it.
What if our kids are different from Amy, Matt, and Evelyn?!
The argument's sample size is crazy small. Because 3 users went on to be successful university students we should believe that every user will have the same experience?
Goal
Look for an argument that commits a Sampling flaw (sample size = too small) and/or look for an argument that fails to consider other causal explanations.