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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
fN( 11 ,muc)= ~
✓ 27r u
e -.u . e 2 (82)
This is "hhw likely" the mhst likely number of
ExtraTerrestrial Civilizatiom in the Galaxy is, i.e.
it is the peak height ill the fognonnal probability
density Junction fv (11).
Next to the mode. the median m (ref. [9]) is one
more statistical number u~ed to characterize any
probability distribution. It 1s defined a~ the
independent variable ah~cissa m ~uch that a
rcalizati(]n of the random variable will take up a
value lower than 111 with 50% probability or a value
higher than m with 5W/r probability again. In other
wonh. the median m splits up our prohahility
den~ity in exactly two equally probable parts. Since
the probability of occurrence of the random event
cquab the area under its demity rurve (i.e. the
definite integral under its density curve) then the
median 111 (of the lognormal distribution. in this
case) is defined as the integral upper limit m:
lln(11f-1,l·
2c,·
2 (83)
In order to find m, we may 1101 differentiate (83) with
respect to Ill , since the ··precise'" factor './i on the
right would then di~appear into a zero. On the
rontrary, we may try to perform the obvious
suh~titution
(in(,,)-μ)'
2 ()2
(84)
into the integral (83) to reduce it to the fulluwing
integral defining the error function crf(;:)
Random variable
Probability distribution
Probability density function
Mean value
Variance
Standard deviation
42
(85)
Then, after a few rcduetiom that we skip for the sake
of brevity, the full cquatiun (83) is turm;d intu
that i~
,,rf[ln(m)-;,)~o
✓2a
(86)
(87)
Since from the defimtion (85) one obviously has
erf(0J=0. (87) becomes
whence finally
ln(m)-p=O
✓2a
Irredian = 111 = e.u I.
(88)
(89)
This is the median of the log11ormaf distribution of
N. In other words, this is the 1111mber of
ExtraTerrestrial civiliza1io11s i11 1he Galaxy such
that, with 50% probability the acmal value of N will
be lower tha11 this media 11, a11d with 50% probabili1y
it will be higher.
In conclusion, we feel useful to summarize all the
equations that we derived about the random variable
N in the following Table 2.
N = number of communicating ET civilizations in Galaxy
Lognormal
/Jn/111--.uJ'-
fN(n)=I.. I lu' (II?'. 0)---,
n 5u
"-
(N)~,,"c'
,
a,\, 'p a'(a' i)= e- e e -1
a'
a,.v =cl-'e 2 Jerr' -1
UNCLASSIFIED/ }FQA: QFFiliIAk .. !iii 8HLV

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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.