Stefan Rahmstorf at the Potsdam Institute for Climate Impact Research in Germany, and colleagues, compared the predictions made in the 2001 report of the Intergovernmental Panel on Climate Change with
the actual subsequent data.
Not exact matches
The following chart shows the same
data on an inverted log scale (blue line, left), along with the
actual subsequent 12 - year nominal average annual total return of the S&P 500 Index (red line, right).
While our Margin - Adjusted CAPE has a very slightly lower correlation with
actual subsequent market returns than our preferred measure (MarketCap / GVA), the available
data history is longer.
The chart below shows the relationship between the Margin - Adjusted CAPE, on an inverted log scale, and
actual subsequent S&P 500 total returns, in
data since the 1920's.
Our perspective is straightforward: on the basis of measures that have been reliably correlated with
actual subsequent market returns in market cycles across a century of
data, we estimate that the S&P 500 Index will be no higher a decade from now than it is today.
The first part of a possible Whiteheadian explanation for these phenomena consists in the fact that
actual occasions making up, say, the eyes, are basically selective in «receiving» their
data from the external world due both to (i) the presence of negative as well as positive prehension in the first phase of concrescence (those that exclude and include
data in the concrescence, respectively), and (ii) the activity of «transmutation» in a
subsequent phase.»
Along those lines, has the following been tried (again, forgive if I'm asking something with an obvious answer published somewhere): 1) pick starting projection dates and
subsequent run paths 2) example for (1): start 1980, run forward 5 years; start 1982, run forward 5 years; start 1984 (run to 1989) etc etc 3) at each start we proceed as with the 1979 directive; ie calibrate with several months of starting year
data 4) thus the latest such (example) run where we could compare against
actual data would be an initialization in 2008 and run forward for 5 years to 2013 5) the advantage of the above (and I recognize that there is a huge amount of work involved in crunching these simulations) is that we could see the starting temp and 5 year projections against the historical record for a number of overlapping segments.
So please give an example where measurements of any given phenomenon were taken, with a potential error range of the equivalent of + / - 5 % that you stipulated in the initial measurements, where that poor initial
data was processed using statistics, and provided an «
actual average measurement within + / -.03 %, that was then verified against later, with
subsequent more accurate measurements.