Good Morning Judge
I filed my
income tax return, thought I'd saved some dough
I cheated just a little bit, I knew they'd never know
I got some money back this year, like I always do
They'll have to catch me before I pay Internal Revenue!
When you
file, will there be the same flat tax rate in all income brackets?
A flat tax on income is socialist, if socialism is defined
as everyone having the same income. That
is not my definition of socialism, but it is the definition of many.
The degree of the variation is a statistical measure
called the..... variance. If everyone had the
same income, then the variance of income would be zero. A flat tax rate, the same percentage of tax on
everyone, also has a variance of zero. If
there is a distribution of income, then if there should also be a distribution
of taxes on that income, then its variance could not be zero.
A uniform normal distribution is one in which the variance
is 1.0, for example the familiar bell‑shaped curve. The phrase “Flatten the
curve” became familiar during the COVID-19 pandemic. It means that the normal distribution of COVID-19 cases
requiring hospitalization remained the same, but its variance increased. A normal distribution is one in which the
median equals the median (where these values are also equal to a seldom used statistic,
the mode). Flattening the curve is still a normal distribution but it
was no longer a uniform normal distribution.
A normal distribution requires the consideration of
negative values. It is common not to report
negative incomes ( negative incomes could include donations, debt, etc. but those
are not often considered to be income).
A distribution which does not allow negative values is the exponential
distribution. In this case the median
does not equal the median, but the mean is a constant factor of the median. In an exponential distribution, the mean is always
1.44 times the median. The variance of an
exponential distribution is by definition equal to its mean.
An exponential function is NOT an exponential distribution.
An exponential function is
a*e -bx
An exponential distribution is the special case where a=b,
which is traditionally expressed using γ,
where the exponential distribution probability function is
γ*e-γx
In an exponential distribution the mean is 1/γ, the variance is also 1/γ , and the median is ln(2)⁄γ,
or 0.69 * mean, or its inverse, mean = 1.44 * median. The variance of all exponential
functions can be described. It is at a
minimum when the mean is the variance, which is the exponential distribution.
Any large collection of independent objects can be expected
to follow an exponential function when their cumulative values are reported. Individual incomes in the United States
appear to follow an exponential function.
Prior to 1980, the distribution of incomes as reported by the US Census was
highly correlated with the exponential distribution. These incomes were not
equal. If the taxes on this income
followed the same distribution, it also could not be equal unless all incomes
were also equal. Allowing for a
distribution of taxes, not a flat tax rate, considers this distribution of income. A flat tax rate considers no variation in the
distribution of income. If individual
incomes are not equal, then the distribution of taxes, which is what the tax
rate is, should also not be equal.
Incomes in the United States prior to 1980 correlated well
with an exponential distribution, especially at the higher incomes, and less
well for lower incomes. After 1980, the
incomes follow an exponential function, but not an exponential distribution. The variance in incomes are much larger than
the mean income. The variance in incomes
increased between 1980 and 1990, and between 1990 and 2000. There was a set-back between 2000 and 2010, ( it is
almost as if there was a recession during this period😏). However between 2010
and 2019 the increase in variance continued the previous trend. The distribution of incomes have bent, i.e. the
variance from an exponential distribution has increased. It has not yet broken
yet, but how long is it healthy to continue this trend?