Documents / Official release

AAWSAP DIRD, An Introduction to the Statistical Drake Equation, March 2010

U.S. Department of War · 2010-03-11 · 55 pages · text from the file's own layer

This Defense Intelligence Reference Document, dated 11 March 2010, was prepared by the Defense Intelligence Agency's Defense Warning Office under the Advanced Aerospace Weapon System Applications Program. It introduces the Statistical Drake Equation, which treats each Drake factor as a random variable with a mean value and a standard deviation. Using its example inputs, the paper estimates that the nearest extraterrestrial civilization lies between 1,361 and 3,979 light years away with 75% probability. The author's 2008 International Astronautical Congress paper is attached as an appendix.

From the source:Release of 2026-09-18 Incident: 3/11/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD introduces the Drake Equation, a well-known thought framework for estimating how many communicative extraterrestrial civilizations might exist in the galaxy. It reformulates the equation in statistical terms, arguing that the usual approach of assigning fixed values to its variables is too simplistic because major inputs are uncertain and are better modeled as probability distributions. Using that approach, it concludes that, if one accepts the underlying logic of the Drake Equation, the estimated number of communicating civilizations should be treated as a range of possible values, and that the likely distance between neighboring civilizations can likewise be expressed statistically rather than as a single figure. The document is primarily a mathematical and methodological exercise, and its worked examples rely on assumed values to illustrate the framework rather than to establish a firm astrophysical estimate. Overall, it is an attempt to formalize uncertainty within the Drake framework rather than an attempt to bound the actual likelihood, prevalence, or proximity of extraterrestrial civilizations.

UNCLASSIFIED/ /fOR OFFI&IAk Wlii QPU,¥
fact 2670 light years. Finally, the standard deviation equals 1309 light years: THIS IS GOOD NEWS FOR
SETI, inasmuch as the nearest ET Civilization might lie at just 1 sigma =2670-1309 =1361 light years
from us.
From Figure 6, we see that the probability of
finding ExtraTenestrials is practically zero up to a
distance of about 500 light years from Earth. Then
it starts increasing with the increasing distance
from Earth, and reaches its maximum at
_fl_ ,?-
rrmde = rpeak = Ce 3 e 9 ~1933 light years. (152)
This is the MOST LIKELY VALUE of the
distance at which we can expect to fi11d the
nearest ExtraTerrestrial civilization.
It is not, however, the mean value of the
probability distribution (113) for .feT_Distana,(r) . In
fact, the probability density (] l 3) has an infinite
tail on the right, as clearly shown in Figure 6, and
hence its mean value must be higher than its peak
value. As given by ( 119), its mean value is
_!!_ 0"2
r,11ea 11 l'alue =C e 3 e 18 ~ 2670 light years. (153)
This is the MEAN (value of the) DISTANCE
at which we can expect to find ExtraTerrestrials.
After having found the above two distances (1933
and 2670 light years, respectively) , the next natural
question that arises is: "what is the range, forth and
back around the mean value of the distance, within
which we can expect to find ExtraTenestrials with
"the highest hopes ?," The answer to this question
is given by the notion of standard deviation, that
we already found to be given by (123)
_fl_ 0"2 ~
(TET_Dislana, = Ce 3 e 18 Ve9 - 1 ~1309 light years.
... (154)
More precisely, this is the so called I-sigma
(distance) level. Probability theory then shows that
the nearest ExtraTenestrial civilization is expected
to be located within this range, i.e. within the two
distances of (2670-1309) = 1361 light years and
(2670+ 1309) = 3979 light years, with probability
given by the integral of fET_Distana, (r) taken in
between these two lower and upper limits, that is:
i39791ightyears
/ET Distana,(r)dr~0.75 = 75% (155)
136 llightyears -
In plain words: with 75% probability, the nearest
ExtraTerrestrial civilization is located in between
the distances of 1361 and 3979 light years from us,
having assumed the input values to the Drake
Equation given by Table 1. If we change those
input values, then all the numbers change again.
9. THE "DATA ENRICHMENT
PRINCIPLE" AS THE BEST CL T
CONSEQUENCE UPON THE
STATISTICAL DRAKE EQUATION
(ANY NUMBER OF FACTORS
ALLOWED)
As a fitting climax to all the statistical
equations developed so far, let us now state our
"DATA ENRICHMENT PRINCIPLE," It simply states that
"The Higher the Number of Factors in the
Statistical Drake equation, The Better,"
Put in this simple way, it simply looks like a
new way of saying that the CLT lets the random
variable Y approach the nonnal distribution when
the number of terms in the sum (4) approaches
infinity. And this is the case, indeed. However, our
"Data Enrichment Principle" has more profound
methodological consequences that we cannot
explain now, but hope to describe more precisely
in one or more coming papers.
CONCLUSIONS
We have sought to extend the classical Drake
equation to let it encompass Statistics and
Probability.
This approach appears to pave the way to
future, more profound investigations intended not
only to associate "enor bars" to each factor in the
Drake equation, but especially to increase the
number of factors themselves. In fact, thi s seems to
be the only way to incorporate into the Drake
UNCLASSIFIED/ ffOR OFFI&IAk Wlii QPII.¥
53

Not linked to a story yet.

About this file

Official release, from the pursue collection. The PDF is mirrored here; the original link is above. 55 pages are in the text index: search them above, or from the library's search.