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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.

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million or even billions in the optimist's opinion. A lot of uncertainty is thus affecting our
knowledge of N as of 2010. In all cases, however, the final result about N has always
been a sheer number, i.e., a positive integer number ranging from 1 to millions or
billions. This is precisely the aspect of the Drake equation that th is author regarded as
" too simpl istic" and improved mathematically in his paper #IAC-08-A4.1.4, entitled
"The Statistical Drake Equation" and presented on October 1st , 2008, at the 59 th
International Astronautical Congress (IAC) held in Glasgow, Scotland, UK, September
29th thru October 3rd, 2008. That paper is attached herewith as Appendix B. Newcomers
to SETI and to the Drake equation, however, may find that paper too difficult to be
understood mathematically at a first reading. Thus, I shall now expla in the content of
that paper "by speaking easily." I thank the reader for his or her attention .
5. The Statistical Drake Equation
We start by an examp le.
Consider the first independent variable in the Drake equation (7), i. e., Ns, the number
of stars in the Milky Way galaxy. Astronomers tell us that approximately there should
be about 350 millions stars in the galaxy. Of course, nobody has counted (or even seen
in the photographic plates) all the stars in the galaxy! There are too many practical
difficulties preventing us from doing so: just to name one, the dust clouds that don't
allow us to see even the Galactic Bulge (i.e. the central region of the galaxy) in the
visible light (although we may "see it" at radio frequencies like the famous neutral
hydrogen line at 1420 MHz). So, it doesn't make any sense to say that Ns = 350 x 106,
or, say (even worse) that the number of stars in the galaxy is (say) 354,233,321, or
similar fanciful exact integer numbers. That is just silly and non-scientific. Much more
scientific, on the contrary, is to say that the number of stars in the galaxy is 350 million
plus or minus, say, 50 millions (or whatever values the astronomers may regard as
more appropriate, since this is just an example to let the reader understand the
difficulty).
Thus, it makes sense to REPLACE each of the seven independent variables in the Drake
equation (7) by a MEAN VALUE (350 millions, in the above example) PLUS OR MINUS A
CERTAIN STANDARD DEVIATION (SO millions, in the above example) .
By doing so, we have made a great step ahead: we have abandoned the too-simplistic
equation (7) and replaced it by something more sophisticated and scientifically more
serious: the STATISTICAL Drake equation. In other words, we have transformed the
classical and simplistic Drake equation (7) into an advanced statistica l tool for the
investigation of a host of facts hardly known to us in detail. In other words still:
• We replace each independent variable in (7) by a RANDOM VARIABLE, labeled
D, (from Drake).
• We assume that the MEAN VALUE of each D, is the same numerical value previously
attributed to the corresponding independent variable in (7).
• But now we also ADD A STANDARD DEVIATION cr0 ; on each side of the mean value,
that is provided by the knowledge gathered by scientists in each discipline
encompassed by each D,.
UNCLASSIFIED//FQA QFFICilOL. !!ii ONI X
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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.