The Z-axis shows the ratio between the endowment needed for 98% probability of not running out of money in 100 years. The X axis shows the annual percentage rate at which the cost of storage decreases in the absence of the spike. The Y=0 axis assumes no spike in costs. The rest of the Y axis shows the effect of a spike that doubles costs, and takes two years to drop back to its pre-spike value, occurring at Y years after the start.As you see, if storage costs drop rapidly, the spike has little effect, but if they drop slowly it can have a big impact. Note the "ridge" at Y=4, which is caused by the model's assumption of a 4-year service life for storage hardware. If costs spike just as your current hardware gets to the end of its service life, you are in a world of hurt.
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Slashdot points to a Computerworld article reporting that disk drive prices are stabilizing after approximately doubling in response to the Thai floods. Supply is expected to remain short of demand until the 3rd quarter of 2012, about a year after the floods. These numbers make the spike I used to generate the graph look fairly realistic.
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