Say the magic word?
Q: Did you see you can be 50% more influential by using this one word!!
A: Not convinced
Q: But it’s a Harvard study! With Science!
A: How did they measure influentialness?
Q:
A: <eyeroll emoji>
Q: How did they measure influentialness?
A: By whether someone let you in front of them at the photocopier
Q: What’s a photocopier?
A: When we were very young, books and academic journals were published on this stuff called paper, and stored in a special building, and you had to use a special machine to download them, one page at a time, on to your own paper
Q: That must have sucked. Wait, why are they asking about photocopiers in a study about influencers now?
A: It’s a study from 50 years ago (PDF)
Q: It says 1978, though. That’s nowhere near… fifty…….. Ok, moving right along here. Why is a study from 50 years ago about photocopiers going to be useful now?
A: If it supports the message you just wrote a book about, it might be.
Q: So the study compared different ways of asking if you could use the photocopier?
A: Yes
Q: And the ones where they used the magic word worked better?
A: Not really. They had three versions of the request. Two of them gave a reason and also used the magic word, the third didn’t do either.
Q: But the ones that gave a reason were 50% more influential?
A: In the case where someone was asking for a short use of the photocopier, the success rate was 60% with no reason and over 90% with a reason (and the magic word)
Q: And when it wasn’t short?
A: 24% with no reason, 24% with a bad reason (and the magic word), and 42% with a good reason (and the magic word)
Q: So what really matters is how long you want someone to wait and whether you have a good reason?
A: That would be an interpretation, yes
Q: In 1978
A: Yes
Q: Still, our parents always told use to “say the magic word” when making requests
A: Actually, they didn’t
Q: Well, no, but they might have
A: And the word they were looking for wasn’t “Because”
Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »