Tipping heuristics

April 28, 2010

(This article was first published on Decision Science News » R, and kindly contributed to R-bloggers)


Yes, we all know how to calculate 15% or 20% exactly, but it’s fun to use tipping heuristics and even more fun to make crowded graphs of how they compare to each other. (Sorry for the junky chart. Open for suggestions, in the words of Tom Waits.)

Here are a few tipping heuristics compared to a 15% baseline (which some claim to be 15-20% in NYC):

– Round to the nearest $10, then double the number on the left

– Round to the nearest $5 and throw in $1 for every $5

– Double the tax

There is also the notorious “double the number on the left”, which a friend’s father described as “sometimes they win, sometimes they lose.” DSN doesn’t like this one as it inflicts its damage on small checks, which often require as much waitstaff effort as large ones. If you’re a high roller, it looks pretty safe, however.

Whatever you do, please advocate smart heuristics instead of those undeservedly popular iPhone tipping apps.

What tipping rule of thumb do you use?

Note: Tax figure is New York City restaurant tax, which is something like 8.875%. I regret doing this in Excel instead of R, but it seemed like it would be faster and prettier.

To leave a comment for the author, please follow the link and comment on their blog: Decision Science News » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , , , , , , ,

Comments are closed.


Mango solutions

plotly webpage

dominolab webpage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training





CRC R books series

Six Sigma Online Training

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)