This is a good example to show why knowing more details about the data definitely helps. One would especially want to find out what could skew these results. Here are a few thoughts:

* how are “failure” and “malfunction” defined? I’m no hardware technician, but I have to believe that some “malfunctions” are minor glitches while others are major issues that render the machine unusable.

* not everyone fesses up to “accidental” damage or damage that results from operator error – especially during a warranty period. How did their study account for that?

* is the data based on computers that this company services? If so, then the previous point is even more important. Often it’s easier just to send the machine in and get a replacement over night than to figure out whether software or other non-hardware issues created the problem.

Yes, data details can be messy

Same situation you are describing. Representing lots of data as only a few data points makes the chart look simpler, but it can be deceiving.