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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.
UNCLASSIFIED/ /1"91t 91"1"1!111it 1!191!! 9HLY fact 2670 light years. Finally, the standard deviation equals 1309 light years: THIS IS GOOD NEWS FOR SETI, ina.mmch as the nearest ET Civilization might lie atjmt 1 sigma= 2670-1309 = 1361 light years from us. From Figure 6, we see that the probability of finding Ex!raTeITestrials i\ pra<.:tically Lero up lo a distance of about 500 light years from Earth. Then it qans increa~ing with the increasing distance from Earth, and reaches its maximum at _!'_ ,r r,,rn,c=r1,mJ.=Ce •1 e <) :=c]9JJ]igh1ycar.;. (152) This is the MOST LIKELY VALUE of the distance ut which we can expect to find the nearest ExtraTerrestrial civilizatio11. It is not, however. the mean value of the probability distribution (113) for .f1.,:_,Ji,,.u,1e(r), In fact, the probability density ( 113) has an infinite tail on !he right, as clearly shown in Figure 6, and hence ii\ mean value mus! be higher than its peak value, As given by (119). its mean value is p " r,,,,,""-''"''".=Ce ie 1x ~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 2671) light years, re~pectively), the next natural 4uestion that ari~es is: '·what is the range, forth am! back around the mean value or the di~tance. within which we can expect to find ExtraTerreqrials with "the highest hopes?," The answer to this question is given by the notion of standard deviation. that we already found to he given by (123) ... ( 154) More precisely, this i\ the \O called I-sigma (distance) level. Probability theory then shows that the nearest ExtraTerrestrial civilization is expected to he located within this range, i.e. within the two distances of (2671)-1Jl)9) = 1361 light years and (2670+1309) = 3979 light year\, with probability 53 given hy the integral of fET_Dostan<e(r) taken in between these two lower and upper limits, that is: r.'97911 eIll a""" J, - • .hTD1,rnn,o(r)dr:=c0.75=75% (155) 13/Jlilglllyea" 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 I. If we change those input values, then all the numbers change again. 9. THE "DATA E~RICH.\1E~T PRI~CIPLE" AS THE BEST CLT 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 nmv state our "DATA ElVRICHMENT PRINCIPLE," It simply stutes thut "The llif.:her the IVumber of Factors i11 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 normal distribution \Vhen the number of terms in the ~um (4) approaches infinity. Ami this i\ !he ca\e, indeed. However, our "Data Enrichment Principle" has more profound methodological consequences that we cannot explain now, but hope to describe more precisely m one or more commg papers. CONCLUSIONS We have sought to extend the classical Drake equation to let it encompass Statistics and Probability. This approach appears tn pave the way to future, more profound investigations intended not only to associate ·'error bars" to each factor in the Drake equation, but especially to increase the number of factors themselves. In fact, this seems to be the only way to incorporate into the Drake UNCLASSIFIED/ ;rett err1e1xc USE OHEI
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Report, from the dia 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.