I am looking at proving that a significant number of false alarms are
actually not false. I had started by looking at the factors that affect
when a burglary occurs. We know from other research that things like the
distance to a school or bar or interstate highway affect the odds of
being burglarized and I wanted to see if it also affects when the
burglary occurs. Timing of crimes is not as well researched as what
affects if it occurs.
I ended up with all of the calls for police in San Antonio for three
years. When I checked if alarms affect burglaries, I found that the
false alarm calls come in in almost the exact same time patterns as the
real burglaries and real alarm calls. I thought about it and this
doesn't make sense if they are false alarms. The events causing false
alarms (mechanical malfunction, weather, etc.) should be random or
nearly so.
If there is a pattern that matches real burglaries, some significant
percentage must be real burglaries that the police are missing for some
reason. There are lots of possible reasons, such as not being able to
get to the rear or top of the building to check and not a completed
burglary with no forced entry (think door rattled but still locked as
burglar checks it).
After I do the literature review, I will show the patterns match for
some of the factors I can determine already. Then I am going to run some
test models with varying percentages of calls selected randomly and
selected from a pattern that matches real burglaries. This should give
me an estimate of how many are really human intervention and not true
false alarms.
Steve Rothstein