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Defense Intelligence Reference Document An Introduction To The Statistical Drake Equation

Defense Intelligence Agency · 55 pages · text from the file's own layer

This Defense Intelligence Agency reference document, dated 11 March 2010, is one of the advanced technology reports produced in FY 2009 under the Advanced Aerospace Weapon System Applications (AAWSA) program. It introduces the Statistical Drake Equation, which replaces each factor of Frank Drake's 1961 equation with a uniform random variable to estimate how far away the nearest extraterrestrial civilization is. In the worked example, there is a 75% probability that the nearest civilization lies between 1,361 and 3,979 light years from Earth.

  • p. 9 …The first such discovery occurred in 1995, when Michel Mayor and Didier Queloz, working at the…
  • p. 12 …standard deviation is known by the scientists working in the respective field (let it be astronomy…
  • p. 14 …Finally, a numerical example explaining how the statistical Drake equation works in the practice will be…
  • p. 15 …An Example Explaining the Statistical Drake Equation To understand how things work in practice for the…
  • p. 25 …on pages 36 and 37 of his work, and read, respectively (note that Shannon omits the…
  • p. 28 …a practical example is given of how our ~tatistical Drake equation works numerically. We work out…
  • p. 44 …This number 459() is HIGHER than the 3500 foreseen by the classical Drake equation working with…
UNCLASSIFIED//FQA: QFFI&l11J.k W&liii Q•lklf
Table 1. Summary of the Properties of the Log normal Distribution That Applies
to the Random Variable N = Number of ET Communicating Civilizations in the
Galaxy
Random variable
Probability distribution
Probability density function
Mean value
Variance
Standard deviation
All the moments, i.e. k-th moment
Mode ( = abscissa of the log normal peak)
Value of the Mode Peak
Median ( = fifty-fifty probability value for
N)
Skewness
Kurtosis
Expression of .u in terms of the lower (ai)
and upper (b1) limits of the Drake
uniform input random variables Di
Expression of a 2 in terms of the lower (a,)
and upper (bi) limits of the Drake
uniform inout random variables D,
N = number of communicating ET
civilizations in qalaxy
Loqnormal
(in(,i) ,11)'
= _ ,/I ,-cr-
11 m,Je - 11 pcak - ( <
"
j . ( 1 -u ----:;-
N 11,,.,dc)= ~ ·e • ·e -
V21T /J'
nrdian = m = e·"
(11;;:: 0)
, _ ~ , _ ~I- a,b,[h,(b,)-h,(a;)]'
a - ,t,...PY - £..J
1-l ' 1-l (b,. - (I, f
7. An Example Explaining the Statistical Drake Equation
To understand how things work in practice for the statistical Drake equation, please
consider the following table 2. It is made up of three columns:
• The first column on the left lists the seven input sheer numbers that also become
• The mean values (middle column).
• Finally the last column on the right lists the seven input standard deviations.
15
UNCLASSIFIED/ fffUl 8ffl@Isf\k Wfiliii Q•lklf

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Report, from the dia collection. The PDF is mirrored here; the original link is under it. 55 pages are in the text index: search them above, or from the library's search.