Limitations to Any Model
Model Limitations
More Subtle Factors That the Models Can Currently
Only Implicitely Reflect:
- Coverage D and Risk Excess layers
- Secondary uncertainty/ Correlation issues
- The degree of enforcement of local building codes
- Foliage
- Weather patterns before and after loss events
- Physical alignment of structures along events’ force vectors
- Local variations of concentrations or hazard (street address detail)
- Changes in claims handling and other industry practices
Also:
- Data for medium-sized events, 0-10 year return time losses, are not collected as
consistently as for larger events. Modelers must look to larger events and back into
these events.
- Data for mega-events, 250+ year return time losses, are also missing due to limited
history. Modelers must extrapolate loss potentials from smaller events.
Demand Surge (for Blue Tarps)

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This is not a pipe.
A pipe has weight, volume, texture, use,
scent, taste and a history and a future
independent of this view.
A picture only has color, height and
length, and does not have a past or
future. |
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This is not a hurricane.
A hurricane has varying rainfalls, pressure
levels, shearing forces, embedded tornadoes,
windblown debris, and follows an
unforeseeable track to interact with land
and values with their own independent
history and future.
A model only represents limited parameters,
such as maximum sustained winds, forward
speed, radius and central pressure and a
simplified track of movement. |
This is not a 500-year loss.
A return time loss is the
actual result of the most severe
loss in a period of time. It reflects
the full physical, legal, economic
and practical realities of the loss
event, the insured values and the
market.
An estimated loss only
represents the result of a model
applied to coded exposure data
files under simplifying standard
assumptions.

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