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Drake equation
Drake equation
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Illustration of the Drake equation
Frank Drake in c. 1960s

The Drake equation is a probabilistic argument used to estimate the number of active, communicative extraterrestrial civilizations in the Milky Way Galaxy.[1][2][3]

The equation was formulated in 1961 by Frank Drake, not for purposes of quantifying the number of civilizations, but as a way to stimulate scientific dialogue at the first scientific meeting on the search for extraterrestrial intelligence (SETI).[4][5] The equation summarizes the main concepts which scientists must contemplate when considering the question of other radio-communicative life.[4] It is more properly thought of as an approximation than as a serious attempt to determine a precise number.

Criticism related to the Drake equation focuses not on the equation itself, but on the fact that the estimated values for several of its factors are highly conjectural, the combined multiplicative effect being that the uncertainty associated with any derived value is so large that the equation cannot be used to draw firm conclusions.

Equation

[edit]

The Drake equation is:[1]

where

  • N = the number of civilizations in the Milky Way galaxy with which communication might be possible (i.e. which are on the current past light cone);

and

  • R = the average rate of star formation in our galaxy.
  • fp = the fraction of those stars that have planets.
  • ne = the average number of planets that can potentially support life per star that has planets.
  • fl = the fraction of planets that could support life that actually develop life at some point.
  • fi = the fraction of planets with life that go on to develop intelligent life (civilizations).
  • fc = the fraction of civilizations that develop a technology that releases detectable signs of their existence into space.
  • L = the length of time for which such civilizations release detectable signals into space.[6][7]

This form of the equation first appeared in Drake's 1965 paper.[8][9]

History

[edit]
Completed 300 Foot Telescope. Frank Drake is the second from left.

In September 1959, physicists Giuseppe Cocconi and Philip Morrison published an article in the journal Nature with the provocative title "Searching for Interstellar Communications".[10][11] Cocconi and Morrison argued that radio telescopes had become sensitive enough to pick up transmissions that might be broadcast into space by civilizations orbiting other stars. Such messages, they suggested, might be transmitted at a wavelength of 21 cm (1,420.4 MHz). This is the wavelength of radio emission by neutral hydrogen, the most common element in the universe, and they reasoned that other intelligences might see this as a logical landmark in the radio spectrum.

Two months later, Harvard University astronomy professor Harlow Shapley speculated on the number of inhabited planets in the universe, saying "The universe has 10 million, million, million suns (10 followed by 18 zeros) similar to our own. One in a million has planets around it. Only one in a million million has the right combination of chemicals, temperature, water, days and nights to support planetary life as we know it. This calculation arrives at the estimated figure of 100 million worlds where life has been forged by evolution."[12]

Seven months after Cocconi and Morrison published their article, Drake began searching for extraterrestrial intelligence in an experiment called Project Ozma. It was the first systematic search for signals from communicative extraterrestrial civilizations. Using the 85 ft (26 m) dish of the National Radio Astronomy Observatory, Green Bank in Green Bank, West Virginia, Drake monitored two nearby Sun-like stars: Epsilon Eridani and Tau Ceti, slowly scanning frequencies close to the 21 cm wavelength for six hours per day from April to July 1960.[11] The project was well designed, inexpensive, and simple by today's standards. It detected no signals.

Soon thereafter, Drake hosted the first search for extraterrestrial intelligence conference on detecting their radio signals. The meeting was held at the Green Bank facility in 1961. The equation that bears Drake's name arose out of his preparations for the meeting.[13]

As I planned the meeting, I realized a few day[s] ahead of time we needed an agenda. And so I wrote down all the things you needed to know to predict how hard it's going to be to detect extraterrestrial life. And looking at them it became pretty evident that if you multiplied all these together, you got a number, N, which is the number of detectable civilizations in our galaxy. This was aimed at the radio search, and not to search for primordial or primitive life forms.

— Frank Drake

The ten attendees were conference organizer J. Peter Pearman, Frank Drake, Philip Morrison, businessman and radio amateur Dana Atchley, chemist Melvin Calvin, astronomer Su-Shu Huang, neuroscientist John C. Lilly, inventor Barney Oliver, astronomer Carl Sagan, and radio-astronomer Otto Struve.[14] These participants called themselves "The Order of the Dolphin" (because of Lilly's work on dolphin communication), and commemorated their first meeting with a plaque at the observatory hall.[15][16]

Usefulness

[edit]
The Allen Telescope Array for SETI

The Drake equation results in a summary of the factors affecting the likelihood that we might detect radio-communication from intelligent extraterrestrial life.[2][6][17] The last three parameters, fi, fc, and L, are not known and are very difficult to estimate, with values ranging over many orders of magnitude (see § Criticism). Therefore, the usefulness of the Drake equation is not in the solving, but rather in the contemplation of all the various concepts which scientists must incorporate when considering the question of life elsewhere,[2][4] and gives the question of life elsewhere a basis for scientific analysis. The equation has helped draw attention to some particular scientific problems related to life in the universe, for example abiogenesis, the development of multi-cellular life, and the development of intelligence itself.[18]

Within the limits of existing human technology, any practical search for distant intelligent life must necessarily be a search for some manifestation of a distant technology. After about 50 years, the Drake equation is still of seminal importance because it is a 'road map' of what we need to learn in order to solve this fundamental existential question.[2] It also formed the backbone of astrobiology as a science; although speculation is entertained to give context, astrobiology concerns itself primarily with hypotheses that fit firmly into existing scientific theories. Some 50 years of SETI have failed to find anything, even though radio telescopes, receiver techniques, and computational abilities have improved significantly since the early 1960s. SETI efforts since 1961 have conclusively ruled out widespread alien emissions near the 21 cm wavelength of the hydrogen frequency.[19]

Estimates

[edit]

Original estimates

[edit]

There is considerable disagreement on the values of these parameters, but the 'educated guesses' used by Drake and his colleagues in 1961 were:[1][20][21]

  • R = 1 yr−1 (1 star formed per year, on the average over the life of the galaxy; this was regarded as conservative)
  • fp = 0.2 to 0.5 (one fifth to one half of all stars formed will have planets)
  • ne = 1 to 5 (stars with planets will have between 1 and 5 planets capable of developing life)
  • fl = 1 (100% of these planets will develop life)
  • fi = 1 (100% of which will develop intelligent life)
  • fc = 0.1 to 0.2 (10–20% of which will be able to communicate)
  • L = somewhere between 1000 and 100,000,000 years

Inserting the above minimum numbers into the equation gives a minimum N of 20 (see: Range of results). Inserting the maximum numbers gives a maximum of 50,000,000. Drake states that given the uncertainties, the original meeting concluded that NL, and there were probably between 1000 and 100,000,000 planets with civilizations in the Milky Way Galaxy.

Current estimates

[edit]

This section discusses and attempts to list the best current estimates for the parameters of the Drake equation.

Rate of star creation in this Galaxy, R

[edit]

Calculations in 2010, from NASA and the European Space Agency indicate that the rate of star formation in this Galaxy is about 0.68–1.45 M of material per year.[22][23] To get the number of stars per year, we divide this by the initial mass function (IMF) for stars, where the average new star's mass is about 0.5 M.[24] This gives a star formation rate of about 1.5–3 stars per year.

Fraction of those stars that have planets, fp

[edit]

Analysis of microlensing surveys, in 2012, has found that fp may approach 1—that is, stars are orbited by planets as a rule, rather than the exception; and that there are one or more bound planets per Milky Way star.[25][26]

Average number of planets that might support life per star that has planets, ne

[edit]

In November 2013, astronomers reported, based on Kepler space telescope data, that there could be as many as 40 billion Earth-sized planets orbiting in the habitable zones of sun-like stars and red dwarf stars within the Milky Way Galaxy.[27][28] 11 billion of these estimated planets may be orbiting sun-like stars.[29] Since there are about 100 billion stars in the galaxy, this implies fp · ne is roughly 0.4. The nearest planet in the habitable zone is Proxima Centauri b, which is as close as about 4.2 light-years away.

The consensus at the Green Bank meeting was that ne had a minimum value between 3 and 5. Dutch science journalist Govert Schilling has opined that this is optimistic.[30] Even if planets are in the habitable zone, the number of planets with the right proportion of elements is difficult to estimate.[31] Brad Gibson, Yeshe Fenner, and Charley Lineweaver determined that about 10% of star systems in the Milky Way Galaxy are hospitable to life, by having heavy elements, being far from supernovae and being stable for a sufficient time.[32]

The discovery of numerous gas giants in close orbit with their stars has introduced doubt that life-supporting planets commonly survive the formation of their stellar systems. So-called hot Jupiters may migrate from distant orbits to near orbits, in the process disrupting the orbits of habitable planets.

On the other hand, the variety of star systems that might have habitable zones is not just limited to solar-type stars and Earth-sized planets. It is now estimated that even tidally locked planets close to red dwarf stars might have habitable zones,[33] although the flaring behavior of these stars might speak against this.[34] The possibility of life on moons of gas giants (such as Jupiter's moon Europa, or Saturn's moons Titan and Enceladus) adds further uncertainty to this figure.[35]

The authors of the rare Earth hypothesis propose a number of additional constraints on habitability for planets, including being in galactic zones with suitably low radiation, high star metallicity, and low enough density to avoid excessive asteroid bombardment. They also propose that it is necessary to have a planetary system with large gas giants which provide bombardment protection without a hot Jupiter; and a planet with plate tectonics, a large moon that creates tidal pools, and moderate axial tilt to generate seasonal variation.[36]

Fraction of the above that actually go on to develop life, fl

[edit]

Geological evidence from the Earth suggests that fl may be high; life on Earth appears to have begun around the same time as favorable conditions arose, suggesting that abiogenesis may be relatively common once conditions are right. However, this evidence only looks at the Earth (a single model planet), and contains anthropic bias, as the planet of study was not chosen randomly, but by the living organisms that already inhabit it (ourselves). From a classical hypothesis testing standpoint, without assuming that the underlying distribution of fl is the same for all planets in the Milky Way, there are zero degrees of freedom, permitting no valid estimates to be made. If life (or evidence of past life) were to be found on Mars, Europa, Enceladus or Titan that developed independently from life on Earth it would imply a value for fl close to 1. While this would raise the number of degrees of freedom from zero to one, there would remain a great deal of uncertainty on any estimate due to the small sample size, and the chance they are not really independent.

Countering this argument is that there is no evidence for abiogenesis occurring more than once on the Earth—that is, all terrestrial life stems from a common origin. If abiogenesis were more common it would be speculated to have occurred more than once on the Earth. Scientists have searched for this by looking for bacteria that are unrelated to other life on Earth, but none have been found yet.[37] It is also possible that life arose more than once, but that other branches were out-competed, or died in mass extinctions, or were lost in other ways. Biochemists Francis Crick and Leslie Orgel laid special emphasis on this uncertainty: "At the moment we have no means at all of knowing" whether we are "likely to be alone in the galaxy (Universe)" or whether "the galaxy may be pullulating with life of many different forms."[38] As an alternative to abiogenesis on Earth, they proposed the hypothesis of directed panspermia, which states that Earth life began with "microorganisms sent here deliberately by a technological society on another planet, by means of a special long-range unmanned spaceship".

In 2020, a paper by scholars at the University of Nottingham proposed an "Astrobiological Copernican" principle, based on the Principle of Mediocrity, and speculated that "intelligent life would form on other [Earth-like] planets like it has on Earth, so within a few billion years life would automatically form as a natural part of evolution". In the authors' framework, fl, fi, and fc are all set to a probability of 1 (certainty). Their resultant calculation concludes there are more than thirty current technological civilizations in the galaxy (disregarding error bars).[39][40]

Fraction of the above that develops intelligent life, fi

[edit]

This value remains particularly controversial. Those who favor a low value, such as the biologist Ernst Mayr, point out that of the billions of species that have existed on Earth, only one has become intelligent and from this, infer a tiny value for fi.[41] Likewise, the Rare Earth hypothesis, notwithstanding their low value for ne above, also think a low value for fi dominates the analysis.[42] Those who favor higher values note the generally increasing complexity of life over time, concluding that the appearance of intelligence is almost inevitable,[43][44] implying an fi approaching 1. Skeptics point out that the large spread of values in this factor and others make all estimates unreliable. (See Criticism).

In addition, while it appears that life developed soon after the formation of Earth, the Cambrian explosion, in which a large variety of multicellular life forms came into being, occurred a considerable amount of time after the formation of Earth, which suggests the possibility that special conditions were necessary. Some scenarios such as the snowball Earth or research into extinction events have raised the possibility that life on Earth is relatively fragile. Research on any past life on Mars is relevant since a discovery that life did form on Mars but ceased to exist might raise the estimate of fl but would indicate that in half the known cases, intelligent life did not develop.

Estimates of fi have been affected by discoveries that the Solar System's orbit is circular in the galaxy, at such a distance that it remains out of the spiral arms for tens of millions of years (evading radiation from novae). Also, Earth's large moon may aid the evolution of life by stabilizing the planet's axis of rotation.

There has been quantitative work to begin to define . One example is a Bayesian analysis published in 2020. In the conclusion, the author cautions that this study applies to Earth's conditions. In Bayesian terms, the study favors the formation of intelligence on a planet with identical conditions to Earth but does not do so with high confidence.[45][46]

Planetary scientist Pascal Lee of the SETI Institute proposes that this fraction is very low (0.0002). He based this estimate on how long it took Earth to develop intelligent life (1 million years since Homo erectus evolved, compared to 4.6 billion years since Earth formed).[47][48]

Fraction of the above revealing their existence via signal release into space, fc

[edit]

For deliberate communication, the one example we have (the Earth) does not do much explicit communication, though there are some efforts covering only a tiny fraction of the stars that might look for human presence. (See Arecibo message, for example). There is considerable speculation[broken anchor] why an extraterrestrial civilization might exist but choose not to communicate. However, deliberate communication is not required, and calculations indicate that current or near-future Earth-level technology might well be detectable to civilizations not too much more advanced than present day humans.[49] By this standard, the Earth is a communicating civilization.

Another question is what percentage of civilizations in the galaxy are close enough for us to detect, assuming that they send out signals. For example, existing Earth radio telescopes could only detect Earth radio transmissions from roughly a light year away.[50]

Lifetime of such a civilization wherein it communicates its signals into space, L

[edit]

Michael Shermer estimated L as 420 years, based on the duration of sixty historical Earthly civilizations.[51] Using 28 civilizations more recent than the Roman Empire, he calculates a figure of 304 years for "modern" civilizations. It could also be argued from Michael Shermer's results that the fall of most of these civilizations was followed by later civilizations that carried on the technologies, so it is doubtful that they are separate civilizations in the context of the Drake equation. In the expanded version, including reappearance number, this lack of specificity in defining single civilizations does not matter for the result, since such a civilization turnover could be described as an increase in the reappearance number rather than increase in L, stating that a civilization reappears in the form of the succeeding cultures. Furthermore, since none could communicate over interstellar space, the method of comparing with historical civilizations could be regarded as invalid.

David Grinspoon has argued that once a civilization has developed enough, it might overcome all threats to its survival. It will then last for an indefinite period of time, making the value for L potentially billions of years. If this is the case, then he proposes that the Milky Way Galaxy may have been steadily accumulating advanced civilizations since it formed.[52] He proposes that the last factor L be replaced with fIC · T, where fIC is the fraction of communicating civilizations that become "immortal" (in the sense that they simply do not die out), and T representing the length of time during which this process has been going on. This has the advantage that T would be a relatively easy-to-discover number, as it would simply be some fraction of the age of the universe.

It has also been hypothesized that once a civilization has learned of a more advanced one, its longevity could increase because it can learn from the experiences of the other.[53]

The astronomer Carl Sagan speculated that all of the terms, except for the lifetime of a civilization, are relatively high and the determining factor in whether there are large or small numbers of civilizations in the universe is the civilization lifetime, or in other words, the ability of technological civilizations to avoid self-destruction. In Sagan's case, the Drake equation was a strong motivating factor for his interest in environmental issues and his efforts to warn against the dangers of nuclear warfare. Paleobiologist Olev Vinn suggests that the lifetime of most technological civilizations is brief due to inherited behavior patterns present in all intelligent organisms. These behaviors, incompatible with civilized conditions, inevitably lead to self-destruction soon after the emergence of advanced technologies.[54]

An intelligent civilization might not be organic, as some have suggested that artificial general intelligence may replace humanity.[55]

Range of results

[edit]

As many skeptics have pointed out, the Drake equation can give a very wide range of values, depending on the assumptions,[56] as the values used in portions of the Drake equation are not well established.[30][57][58][59] In particular, the result can be N ≪ 1, meaning we are likely alone in the galaxy, or N ≫ 1, implying there are many civilizations we might contact. One of the few points of wide agreement is that the presence of humanity demonstrates that the probability of intelligence arising is greater than zero.[60]

As an example of a low estimate, combining NASA's star formation rates, the rare Earth hypothesis value of fp · ne · fl = 10−5,[61] Mayr's view on intelligence arising, Drake's view of communication, and Shermer's estimate of lifetime:

R = 1.5–3 yr−1,[22] fp · ne · fl = 10−5,[36] fi = 10−9,[41] fc = 0.2[Drake, above], and L = 304 years[51]

gives:

N = 1.5 × 10−5 × 10−9 × 0.2 × 304 = 9.1 × 10−13

i.e., suggesting that we are probably alone in this galaxy, and possibly in the observable universe.

On the other hand, with larger values for each of the parameters above, values of N can be derived that are greater than 1. The following higher values that have been proposed for each of the parameters:

R = 1.5–3 yr−1,[22] fp = 1,[25] ne = 0.2,[62][63] fl = 0.13,[64] fi = 1,[43] fc = 0.2[Drake, above], and L = 109 years[52]

Use of these parameters gives:

N = 3 × 1 × 0.2 × 0.13 × 1 × 0.2 × 109 = 15,600,000

Monte Carlo simulations of estimates of the Drake equation factors based on a stellar and planetary model of the Milky Way have resulted in the number of civilizations varying by a factor of 100.[65]

Possible former technological civilizations

[edit]

In 2016, Adam Frank and Woodruff Sullivan modified the Drake equation to determine just how unlikely the event of a technological species arising on a given habitable planet must be, to give the result that Earth hosts the only technological species that has ever arisen, for two cases: (a) this Galaxy, and (b) the universe as a whole. By asking this different question, one removes the lifetime and simultaneous communication uncertainties. Since the numbers of habitable planets per star can today be reasonably estimated, the only remaining unknown in the Drake equation is the probability that a habitable planet ever develops a technological species over its lifetime. For Earth to have the only technological species that has ever occurred in the universe, they calculate the probability of any given habitable planet ever developing a technological species must be less than 2.5×10−24. Similarly, for Earth to have been the only case of hosting a technological species over the history of this Galaxy, the odds of a habitable zone planet ever hosting a technological species must be less than 1.7×10−11 (about 1 in 60 billion). The figure for the universe implies that it is extremely unlikely that Earth hosts the only technological species that has ever occurred. On the other hand, for this Galaxy one must think that fewer than 1 in 60 billion habitable planets develop a technological species for there not to have been at least a second case of such a species over the past history of this Galaxy.[66][67][68][69][70]

Modifications

[edit]

As many observers have pointed out, the Drake equation is a very simple model that omits potentially relevant parameters,[71] and many changes and modifications to the equation have been proposed. One line of modification, for example, attempts to account for the uncertainty inherent in many of the terms.[72] Combining the estimates of the original six factors by major researchers via a Monte Carlo procedure leads to a best value for the non-longevity factors of 0.85 1/years.[73] This result differs insignificantly from the estimate of unity given both by Drake and the Cyclops report.

Others note that the Drake equation ignores many concepts that might be relevant to the odds of contacting other civilizations. For example, Glen David Brin states: "The Drake equation merely speaks of the number of sites at which ETIs spontaneously arise. The equation says nothing directly about the contact cross-section between an ETIS and contemporary human society".[74] Because it is the contact cross-section that is of interest to the SETI community, many additional factors and modifications of the Drake equation have been proposed.

Colonization
Brin proposed to generalize the Drake equation to include additional effects of alien civilizations colonizing other star systems. Each original site expands with an expansion velocity v, and establishes additional sites that survive for a lifetime L. The result is a more complex set of 3 equations.[74]
Reappearance factor
The Drake equation may furthermore be multiplied by how many times an intelligent civilization may occur on planets where it has happened once. Even if an intelligent civilization reaches the end of its lifetime, life may still prevail on the planet for billions of years, permitting the next civilization to evolve. Thus, several civilizations may come and go during the lifespan of one and the same planet. Thus, if nr is the average number of times a new civilization reappears on the same planet where a previous civilization once has appeared and ended, then the total number of civilizations on such a planet would be 1 + nr, which is the actual reappearance factor added to the equation.[75]
METI factor
Alexander Zaitsev said that to be in a communicative phase and emit dedicated messages are not the same. For example, humans are in a communicative phase, but are not a communicative civilization; there are no purposeful and regular transmission of interstellar messages. For this reason, he suggested introducing the METI factor (messaging to extraterrestrial intelligence) to the classical Drake equation. He defined the factor as "fm = The fraction of communicative civilizations with clear and non-paranoid planetary consciousness (that is, those which actually engage in deliberate interstellar transmission)".[76]
Biogenic gases
Astronomer Sara Seager proposed a revised equation that focuses on the search for planets with biosignature gases.[77] These gases are produced by living organisms that can accumulate in a planet atmosphere to levels that can be detected with remote space telescopes.[78][79]
The Seager equation looks like:[78][a]
where:
N = the number of planets with detectable signs of life
N = the number of stars observed
FQ = the fraction of stars that are quiet
FHZ = the fraction of stars with rocky planets in the habitable zone
FO = the fraction of those planets that can be observed
FL = the fraction that have life
FS = the fraction on which life produces a detectable signature gas
Carl Sagan's version of the Drake equation
American astronomer Carl Sagan made some modifications[80] in the Drake equation and presented it in the 1980 program Cosmos: A Personal Voyage. The modified equation is:[81]
where:
N = the number of civilizations in the Milky Way galaxy with which communication might be possible (i.e. which are on the current past light cone);
N = Number of stars in the Milky Way Galaxy
fp = the fraction of those stars that have planets.
ne = the average number of planets that can potentially support life per star that has planets.
fl = the fraction of planets that could support life that actually develop life at some point.
fi = the fraction of planets with life that go on to develop intelligent life (civilizations).
fc = the fraction of civilizations that develop a technology that releases detectable signs of their existence into space.
fL = fraction of a planetary lifetime graced by a technological civilization

Criticism

[edit]

Criticism of the Drake equation is varied. Firstly, many of the terms in the equation are largely or entirely based on conjecture.[82][83] Star formation rates are well-known, and the incidence of planets has a sound theoretical and observational basis, but the other terms in the equation become very speculative. The uncertainties revolve around the present day understanding of the evolution of life, intelligence, and civilization, not physics. No statistical estimates are possible for some of the parameters, where only one example is known. The net result is that the equation cannot be used to draw firm conclusions of any kind, and the resulting margin of error is huge, far beyond what some consider acceptable or meaningful.[84][85]

Others point out that the equation was formulated before our understanding of the universe had matured. Astrophysicist Ethan Siegel, said:

The Drake equation, when it was put forth, made an assumption about the Universe that we now know is untrue: It assumed that the Universe was eternal and static in time. As we learned only a few years after Frank Drake first proposed his equation, the Universe doesn’t exist in a steady state, where it’s unchanging in time, but rather has evolved from a hot, dense, energetic, and rapidly expanding state: a hot Big Bang that occurred over a finite duration in our cosmic past.[86]

One reply to such criticisms[87] is that even though the Drake equation currently involves speculation about unmeasured parameters, it was intended as a way to stimulate dialogue on these topics. Then the focus becomes how to proceed experimentally. Indeed, Drake originally formulated the equation merely as an agenda for discussion at the Green Bank conference.[88]

Fermi paradox

[edit]

A civilization lasting for tens of millions of years could be able to spread throughout the galaxy, even at the slow speeds foreseeable with present-day technology. However, no confirmed signs of civilizations or intelligent life elsewhere have been found, either in this Galaxy or in the observable universe of 2 trillion galaxies.[89][90] According to this line of thinking, the tendency to fill (or at least explore) all available territory seems to be a universal trait of living things, so the Earth should have already been colonized, or at least visited, but no evidence of this exists. Hence Fermi's question "Where is everybody?".[91][92]

A large number of explanations have been proposed to explain this lack of contact; a book published in 2015 elaborated on 75 different explanations.[93] In terms of the Drake Equation, the explanations can be divided into three classes:

  • Few intelligent civilizations ever arise. This is an argument that at least one of the first few terms, R · fp · ne · fl · fi, has a low value. The most common suspect is fi, but explanations such as the rare Earth hypothesis argue that ne is the small term.
  • Intelligent civilizations exist, but we see no evidence, meaning fc is small. Typical arguments include that civilizations are too far apart, it is too expensive to spread throughout the galaxy, civilizations broadcast signals for only a brief period of time, communication is dangerous, and many others.
  • The lifetime of intelligent, communicative civilizations is short, meaning the value of L is small. Drake suggested that a large number of extraterrestrial civilizations would form, and he further speculated that the lack of evidence of such civilizations may be because technological civilizations tend to disappear rather quickly. Typical explanations include it is the nature of intelligent life to destroy itself, it is the nature of intelligent life to destroy others, they tend to be destroyed by natural events, and others.

These lines of reasoning lead to the Great Filter hypothesis,[94] which states that since there are no observed extraterrestrial civilizations despite the vast number of stars, at least one step in the process must be acting as a filter to reduce the final value. According to this view, either it is very difficult for intelligent life to arise, or the lifetime of technologically advanced civilizations, or the period of time they reveal their existence must be relatively short.

An analysis by Anders Sandberg, Eric Drexler and Toby Ord suggests "a substantial ex ante (predicted) probability of there being no other intelligent life in our observable universe".[95]

[edit]
Commemorative plate on Europa Clipper

The equation was cited by Gene Roddenberry as supporting the multiplicity of inhabited planets shown on Star Trek, the television series he created. However, Roddenberry did not have the equation with him, and he was forced to "invent" it for his original proposal.[96] The invented equation created by Roddenberry is:

Regarding Roddenberry's fictional version of the equation, Drake himself commented that a number raised to the first power is just the number itself.[97]

A commemorative plate on NASA's Europa Clipper mission, which launched October 14, 2024, features a poem by the U.S. Poet Laureate Ada Limón, waveforms of the word 'water' in 103 languages, a schematic of the water hole, the Drake equation, and a portrait of planetary scientist Ron Greeley on it.[98]

See also

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Notes

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The Drake equation is a probabilistic devised by American astronomer in 1961 to estimate N, the number of active, communicative extraterrestrial civilizations in the that could be detected through their electromagnetic emissions. Formulated as N=R×fp×ne×fl×fi×fc×LN = R^* \times f_p \times n_e \times f_l \times f_i \times f_c \times L, it multiplies seven factors representing key stages in the development and detectability of intelligent life: RR^*, the average rate of in the per year (approximately 1–10 stars); fpf_p, the fraction of those stars with planetary systems (now estimated at nearly 1 based on surveys); nen_e, the average number of planets per star with planets that could potentially support life (around 0.2–1 in habitable zones); flf_l, the fraction of such planets where life actually develops; fif_i, the fraction of life-bearing planets where intelligent life evolves; fcf_c, the fraction of intelligent civilizations that develop detectable technology; and LL, the average length of time such civilizations remain detectable (ranging from decades to millions of years). Drake developed the equation in preparation for the first scientific meeting on the search for (SETI), held at the National Radio Astronomy Observatory's facility in , where he served as director. The formula emerged from discussions following , the 1960 experiment led by Drake that scanned two nearby stars for artificial radio signals, marking the dawn of modern SETI efforts. Attendees, including biochemist and young , used the equation as a framework to stimulate research across astronomy, , and , highlighting uncertainties in factors like the emergence of life and technological longevity. Though the equation's parameters remain highly speculative—especially flf_l, fif_i, fcf_c, and LL, for which empirical data is limited—advances in detection via telescopes like Kepler have refined RR^*, fpf_p, and nen_e, yielding estimates for N from as low as 1 (suggesting Earth-like isolation) to tens of thousands of civilizations. It continues to guide SETI protocols, missions, and debates on the , which questions the apparent absence of extraterrestrial contact despite the galaxy's vast scale. Recent revisions, such as those by astronomers and Woodruff Sullivan in 2016, adapt the framework to assess the probability of humanity being the only technological species in the , incorporating broader cosmic data to argue that advanced life elsewhere is statistically likely.

Formulation

Mathematical expression

The Drake equation is a probabilistic formula used to estimate the number of active, communicative extraterrestrial civilizations in the galaxy. It is expressed mathematically as N=R×fp×ne×fl×fi×fc×LN = R_* \times f_p \times n_e \times f_l \times f_i \times f_c \times L where NN represents the number of civilizations in the whose electromagnetic emissions are detectable. This equation structures the estimation as a product of seven factors, each capturing a successive stage in the development of detectable civilizations: the rate of formation of suitable stars, the fraction with planetary systems, the average number of potentially habitable planets per such system, the fraction where emerges, the fraction developing intelligent , the fraction that develop detectable communication technology, and the average longevity of such communicating civilizations. The multiplicative form reflects the assumption that these stages are independent, yielding NN as the steady-state number of civilizations currently broadcasting signals that could be intercepted by radio telescopes on .

Parameter definitions

The Drake equation estimates the number of active, communicative extraterrestrial civilizations in the galaxy by multiplying a series of parameters that progressively narrow down from broad astronomical phenomena to specific technological developments. These parameters, originally formulated by in 1961, begin with the formation of and sequentially incorporate factors related to planetary systems, the emergence of , the of , the development of , and the persistence of signals, thereby building a framework that scales from galactic stellar processes to individual civilizations capable of . The first parameter, RR_*, represents the average rate of star formation in the galaxy, measured in stars per year; it establishes the foundational pool of potential stellar hosts for planetary and biological development within our specific galaxy. This term focuses exclusively on the , as the equation is designed to assess communicative civilizations in a localized galactic context rather than the entire universe. The second parameter, fpf_p, denotes the fraction of stars that possess s; it accounts for the prevalence of planets orbiting stars, filtering the star formation rate to those systems where worlds could potentially form. Following this, nen_e is the average number of planets per star with a planetary system that have environments potentially suitable for , often interpreted as those in habitable zones where conditions like liquid water might exist; this parameter shifts the focus from mere planetary presence to prospects. The parameter flf_l represents the fraction of such habitable planets on which actually emerges at some point; it introduces the biological dimension, addressing the transition from suitable environments to the origin of living organisms. Next, fif_i is the fraction of planets where develops that go on to produce intelligent , such as species capable of complex cognition and societal organization; this term explores evolutionary pathways leading to advanced biological forms. The parameter fcf_c indicates the fraction of planets with intelligent life that develop civilizations capable of producing detectable electromagnetic signals or other technosignatures; it bridges biological to technological advancement relevant for interstellar detection. Finally, LL is the average length of time, in years, during which such communicative civilizations release detectable signals into space; this longevity factor determines how many such civilizations might be active and observable at any given moment in the .

Historical Development

Origins and creation

The Drake equation was developed by American astronomer in 1961 while he was working at the National Radio Astronomy Observatory (NRAO) in . As a young radio astronomer, Drake sought to quantify the prospects for detecting through radio signals, building on his pioneering experiences in the field. Drake's creation of the equation was inspired by earlier discussions on the search for (SETI), particularly his own in 1960, which was the first systematic attempt to listen for artificial radio signals from nearby stars like and . This project, though it detected no signals, highlighted the need for a structured scientific framework to evaluate the likelihood of communicative civilizations in the , amid growing interest from bodies like the . Drake recognized that informal conversations alone would not suffice for rigorous discourse, prompting him to devise a probabilistic formula that organized key factors influencing the number of such civilizations. The equation's initial formulation served a practical purpose: Drake privately developed it as an agenda outline in the weeks leading up to the first dedicated SETI conference, held at in November 1961, to guide discussions among invited experts. In Drake's words, it was "cooked up... to serve as the agenda for the first meeting on the topic of SETI," providing a neutral starting point to stimulate dialogue without presupposing outcomes. This preparatory use underscored its role as a tool for framing the scientific inquiry into , rather than a definitive calculation.

Green Bank conference

The Green Bank conference, officially titled the Conference on Extraterrestrial Intelligent Life and known as the Order of the Dolphin, took place from November 1 to 3, 1961, at the in . Organized by radio astronomer in collaboration with J. Peter Pearman of the ' Space Science Board, the meeting was prompted by the need to assess the scientific viability of searching for following Drake's experiment. The attendees comprised a small group of ten experts from diverse fields, including Drake, planetary scientist , physicist , biochemist , astrophysicist Su-Shu Huang, engineer Barney Oliver, astronomer , dolphin researcher John Lilly, physician Dana Atchley, and organizer Pearman. The agenda centered on systematically evaluating the prospects for detecting communicative extraterrestrial civilizations, with discussions explicitly structured around the seven parameters of the Drake equation that Drake had devised just prior to the event to frame the conversation. Participants reviewed available astronomical, biological, and technological data to gauge each factor, from stellar formation rates to the duration of advanced societies. A notable highlight was the influence of Lilly's research on , which led the group to adopt the playful name "Order of the Dolphin" and create commemorative silver pins as a of their commitment. Debates emphasized uncertainties in biological and sociological parameters, such as the fraction of life-bearing planets developing and the longevity of technological civilizations, with estimates for the latter ranging from decades to millennia based on historical analogies to societies. The conference's primary outcomes were the solidification of SETI as a credible scientific discipline and the derivation of initial rough parameter estimates, yielding a consensus figure of approximately 10 active, communicative civilizations in the galaxy at any given time. These early calculations, while tentative and varying by individual contributions (e.g., rates of 1–10 per year), provided a foundational framework for prioritizing observational strategies and inspired subsequent international SETI efforts. The meeting's proceedings, though not formally published, were documented in participant accounts and marked a pivotal shift toward interdisciplinary collaboration in .

Interpretation

Probabilistic framework

The Drake equation represents a probabilistic framework for estimating the number of active, communicative extraterrestrial civilizations in the galaxy by expressing it as the product of several independent factors, each corresponding to a successive stage in the emergence and detectability of such civilizations. This multiplicative structure assumes that the parameters—ranging from the rate of to the longevity of civilizations—are statistically independent, meaning that the probability of one event, such as the formation of planetary systems, does not directly influence another, like the emergence of intelligent life. For instance, rates are treated as decoupled from biological processes on planets, allowing the overall estimate to be derived by simple multiplication rather than more complex conditional probabilities. This approach inherently incorporates significant uncertainties, as most parameters lack empirical constraints and rely on rough extrapolations from limited astronomical and . Consequently, the equation yields order-of-magnitude estimates rather than precise predictions, with the final value of potentially spanning from near zero to thousands or more, depending on the input values. himself emphasized that the result's reliability is limited by the least certain factor, underscoring its role as a tool for framing scientific inquiry rather than a definitive calculation. A key limitation of this framework is its neglect of potential correlations between parameters, which could alter the probabilistic outcomes if, for example, environmental conditions favorable for also influence the likelihood of life evolving into intelligent forms. Such interdependencies are not accounted for in the original formulation, potentially leading to over- or underestimation of N, though the equation's simplicity facilitates its use in broader discussions within the Search for (SETI).

Role in SETI

The Drake equation serves as a foundational framework for the Search for Extraterrestrial Intelligence (SETI) by estimating the number of active, communicative extraterrestrial civilizations in the , thereby informing the feasibility and direction of observational efforts. Developed by in 1961, it provides a probabilistic structure that helps researchers assess whether the of detectable signals justifies sustained searches, influencing the allocation of resources toward and other detection methods. This estimation guides SETI in framing the core question of "where to look," emphasizing the need to target regions of the galaxy with the highest potential for intelligent signals based on stellar density, , and technological development factors. The equation built upon and formalized the approach of early SETI projects, such as (1960), which Drake led using the National Radio Astronomy Observatory's 85-foot telescope in , to scan nearby Sun-like stars for artificial radio signals. Although yielded no detections, it demonstrated the practicality of systematic searches and inspired the equation's formulation to prioritize similar targets in future observations. The equation's emphasis on factors like the fraction of stars with planets (fpf_p) and the development of detectable technologies (fcf_c) thus extended Ozma's methodology, encouraging targeted surveys over broad, inefficient scans. In contemporary SETI activities, the Drake equation continues to direct strategies at institutions like the , where each parameter corresponds to ongoing research programs, such as exoplanet surveys via telescopes like Kepler and TESS to refine estimates of habitable worlds (nen_e). It prioritizes searches toward Sun-like stars within 100 light-years that host planets in the , as these maximize the likelihood of civilizations capable of radio transmission lasting long enough for detection (LL). Beyond radio, the equation's framework has expanded SETI to optical searches and hunts, using updated parameter values from missions like to focus on high-metallicity stars more prone to planet formation. As of 2025, it continues to inspire new research, including 2024 studies incorporating cosmic expansion into revised models and funding for recalculating parameters through fellowships. By quantifying the scale of potential targets—suggesting anywhere from a handful to thousands of civilizations—the equation sustains optimism and methodological rigor in these efforts, even amid null results.

Parameter Estimates

Early estimates

The original estimates for the Drake equation parameters were formulated by during the 1961 Green Bank conference, where he proposed values based on the astronomical knowledge available at the time. These included the star formation rate R1R_* \approx 1 star per year, the fraction of stars with planetary systems fp0.20.5f_p \approx 0.2 - 0.5, the number of potentially habitable planets per system ne15n_e \approx 1 - 5, the fraction of such planets developing life fl1f_l \approx 1, the fraction of life-bearing planets developing intelligent life fi1f_i \approx 1, the fraction of intelligent civilizations capable of communication fc0.10.2f_c \approx 0.1 - 0.2, and the average lifetime of communicative civilizations L103104L \approx 10^3 - 10^4 years. Multiplying these factors yielded an estimate for the number of active, communicative civilizations in the , N1050,000N \approx 10 - 50,000. In their 1966 book Intelligent Life in the Universe, and Iosif Shklovskii refined these estimates by incorporating considerations of the Galaxy's structure, such as the distribution of stars in habitable zones away from the dense and spiral arms, which could affect the emergence and detectability of civilizations. They adjusted parameters like fpf_p and nen_e to account for these spatial factors, maintaining optimistic views on flf_l and fif_i near 1 while estimating LL on the order of millions of years, leading to a higher overall NN around 10610^6. By the 1980s, -sponsored studies began incorporating preliminary hints of planetary systems around other stars, such as pulsar timing anomalies suggesting unseen companions, which influenced conservative revisions to fpf_p (estimated as low as 0.01 in some analyses). A 1980 technical report provided parameter estimates including logfp0.1±0.2\log f_p \approx -0.1 \pm 0.2 and logL6.3±1.9\log L \approx 6.3 \pm 1.9, yielding N106N \approx 10^6 as a central value but with ranges extending to near 1 under pessimistic assumptions for biological and technological factors. These updates highlighted the equation's sensitivity to uncertain parameters like fif_i and fcf_c, often resulting in low-end predictions of N1N \approx 1.

Contemporary estimates for star formation rate

Contemporary estimates place the rate in the , denoted as RR_* in the Drake equation, at approximately 1–3 stars per year. This value derives from observations of young stellar objects (YSOs) and protostars, which trace recent activity. Surveys such as the Spitzer Space Telescope's Galactic Legacy Mid-Plane Survey Extraordinaire (GLIMPSE) have identified thousands of YSOs, enabling population synthesis models to infer a total star formation rate of 0.68–1.45 MM_\odot yr1^{-1}, corresponding to the cited range of stars when accounting for the (IMF). More recent analyses, incorporating data from the Gaia mission for precise distances and proper motions of young stars, refine these figures through hierarchical Bayesian meta-analysis of multiple tracers including H II regions, molecular clouds, and supernova remnants. A widely adopted value is 1.65 ± 0.19 MM_\odot yr1^{-1} under a Kroupa IMF, translating to roughly 1–3 stars per year given the prevalence of low-mass stars (average ~0.5 MM_\odot). Complementary infrared surveys like Herschel's Hi-GAL yield similar results of 2.0 ± 0.7 MM_\odot yr1^{-1}, supporting the stellar rate range. These estimates are influenced by the galaxy's current rate of molecular gas conversion into stars, historical star formation inferred from supernova rates (typically 2–3 per century, tracing massive star births over ~30 Myr), and metallicity evolution, which modulates star formation efficiency through cooling and fragmentation processes. Uncertainties stem from the non-uniform distribution of , concentrated in spiral arms where density waves trigger bursts, leading to temporal and spatial variations of up to a factor of 2–3. Observational biases favor detection of luminous, young massive stars and embedded protostars in , potentially undercounting low-mass, isolated formations or those obscured by dust, though mitigates distance-related errors. Overall, these factors contribute an uncertainty of ~20–50% to RR_*.

Contemporary estimates for planetary systems

Contemporary estimates for the fraction of stars hosting planetary systems, denoted as fpf_p, have been significantly refined through space-based observations, placing fp1f_p \approx 1, indicating that nearly all possess at least one planet. This value represents a shift from earlier uncertainties, driven by the Kepler mission's detection of thousands of transiting exoplanets around a sample of over 150,000 , which revealed planets orbiting virtually every monitored star when accounting for detection sensitivities. The (TESS) has corroborated and expanded these findings across nearly the entire sky, identifying additional systems that support the ubiquity of planets. As of November 2025, more than 6,000 exoplanets have been confirmed, with the majority discovered via Kepler and TESS, providing a robust statistical basis for fpf_p. These missions have sampled diverse stellar populations, demonstrating that planetary formation is a common outcome of , likely facilitated by protoplanetary disks observed around young stars. The cumulative data suggest fpf_p ranges from 0.5 to 1.0 conservatively, but extrapolations favor the upper end, as non-detections are attributable to observational biases rather than true absences. Breakdowns by stellar type reveal variations in planetary occurrence. For Sun-like G and K dwarfs, fpf_p approaches 1.0, with high detection rates of multi-planet systems in short-period orbits, reflecting efficient planet formation around these stable, long-lived . In contrast, red dwarfs (M dwarfs) exhibit slightly lower overall fpf_p estimates in some analyses, around 0.5–0.8 for comparable systems, though they host a greater abundance of small, close-in planets due to their lower masses and cooler temperatures. These differences arise from contrasts in disk dynamics and migration processes during formation. Recent updates from the (JWST) have further validated these estimates by directly imaging and spectrally analyzing exoplanetary systems, confirming diverse architectures such as compact multi-planet configurations and unexpected orbital alignments. For instance, JWST observations of systems like highlight tightly packed, resonant orbits around M dwarfs, while studies of hotter Jupiters reveal varied compositions and migration histories, underscoring the architectural variety across stellar types. These high-resolution insights, enabled by JWST's capabilities, reinforce that planetary systems are not only common but exhibit a broad spectrum of structures.

Contemporary estimates for habitable environments

Contemporary estimates for nen_e, the average number of planets per planetary system that could potentially support life, draw primarily from exoplanet occurrence rates derived from Kepler and TESS missions, focusing on rocky, Earth-sized worlds in the (HZ). These estimates place nen_e in the range of approximately 0.1 to 0.4, reflecting the fraction of systems with at least one such planet, adjusted for completeness in detection. For Sun-like (G-type) stars, analyses of Kepler data yield ne0.370.21+0.48n_e \approx 0.37^{+0.48}_{-0.21} to 0.600.36+0.900.60^{+0.90}_{-0.36} using conservative HZ boundaries, where the HZ is defined by stellar flux allowing liquid surface water (0.95 to 1.67 times Earth's insolation). Optimistic HZ definitions, extending to higher fluxes, increase this to 0.580.33+0.730.58^{+0.73}_{-0.33} to 0.880.51+1.280.88^{+1.28}_{-0.51}. Key criteria for emphasize conditions for liquid water stability, including planetary radius between 0.5 and 1.5 radii to ensure composition and atmospheric retention against stellar winds and thermal escape. Stellar effects are critical, with estimates favoring K-type stars (0.45–0.80 solar masses) due to longer main-sequence lifetimes and wider HZs relative to stellar radius, reducing flare-induced atmospheric loss; here, ne0.24n_e \approx 0.24 for -sized HZ planets around such hosts. These parameters exclude gas giants and super-Earths beyond 1.5 radii, prioritizing worlds with surface conditions akin to 's for potential . Detection biases in transit surveys are corrected using parallaxes and stellar models to extrapolate intrinsic rates. In the 2020s, the Habitable Worlds Catalog (HWC), maintained by the Planetary Habitability Laboratory, catalogs over 70 confirmed or candidate exoplanets meeting these criteria as of 2024, out of more than 5,700 known exoplanets, with 29 classified as conservative HZ rocky worlds likely capable of retaining atmospheres. This underscores a focus on Earth-sized planets (0.8–1.25 radii) around FGK stars, informed by Kepler's legacy data and early TESS results. Previews for the ESA's mission, launching in 2026, anticipate detecting hundreds of additional Earth-sized HZ candidates, reinforcing occurrence rates in the 0.1–0.4 range based on extrapolated populations from current surveys. These updates highlight how ne contributes to broader galactic inventories, estimating thousands of such worlds within 100 parsecs of the Sun.

Contemporary estimates for life emergence

The fraction flf_l, representing the likelihood that life emerges on a habitable planet, remains one of the most uncertain parameters in the Drake equation due to the absence of confirmed extraterrestrial examples. Contemporary estimates typically range from 0.1 to 1.0, reflecting high uncertainty derived primarily from Earth's history as the sole known instance of and laboratory simulations demonstrating plausible prebiotic pathways. Bayesian analyses suggest lower bounds around 0.05 under optimistic priors, but values near 1 are often assumed if is rapid, as indicated by appearance on Earth shortly after its formation. Key factors influencing flf_l include prebiotic chemistry, which laboratory experiments simulate under early Earth-like conditions to produce , , and essential for life. Recent simulations, building on the seminal Miller-Urey experiment, have shown facilitating peptide formation in aqueous environments mimicking primordial soups. Hydrothermal vents are another proposed site, where alkaline conditions could drive osmotic energy gradients and stabilize precursors, as evidenced by 2023 studies demonstrating RNA concentration in vent-like settings. The hypothesis posits that microbial life or precursors could be transferred between via meteorites, supported by 2024 experiments showing rapid colonization of samples by terrestrial microbes, though direct evidence for interstellar transfer remains lacking. Recent insights from 2023–2025 bolster optimism for higher flf_l values by highlighting life's early emergence on Earth and ongoing biosignature hunts. Molecular clock analyses place the last universal common ancestor (LUCA) at approximately 4.2 billion years ago, implying abiogenesis within 300–400 million years of Earth's formation and suggesting the process may be efficient on suitable worlds. Searches for biosignatures on Venus and Mars provide indirect constraints; 2024 observations confirmed phosphine and ammonia in Venus's clouds, gases potentially linked to biological activity despite abiotic explanations. On Mars, NASA's Perseverance rover identified potential biosignatures in 2025 samples from Jezero Crater, including organic-rich minerals formed in ancient watery environments, though confirmation awaits Earth-based analysis. These findings, while inconclusive, underscore the need for further missions to refine flf_l estimates.

Contemporary estimates for intelligent life

Contemporary estimates for the fraction of life-bearing planets that develop intelligent life, denoted as fif_i in the Drake equation, draw heavily from 's evolutionary history as the sole known example. On , life emerged approximately 4 billion years ago, with multicellular organisms appearing around 600 million years ago during the period, followed by the rapid diversification of complex life in the about 540 million years ago. Intelligent life, capable of technological development, arose only in the last few million years with the of Homo sapiens. This timeline suggests that fif_i is likely low, as the progression from simple life to intelligence spanned billions of years and involved numerous improbable steps, leading to estimates ranging from 10510^{-5} to 10210^{-2}. Key influences on fif_i include major evolutionary bottlenecks that could hinder the development of on other worlds. The around 2.4 billion years ago dramatically increased atmospheric oxygen levels, enabling the evolution of larger, more complex organisms by facilitating aerobic respiration and energy-intensive metabolisms. Without such oxygenation, the transition to multicellularity and beyond might remain . Additionally, mass extinctions, such as the Permian-Triassic event 252 million years ago that wiped out over 90% of , acted as both destructive barriers and creative opportunities, reshuffling ecosystems and allowing adaptive radiations that eventually led to mammalian dominance and human ancestry. These events underscore the rarity of sustained evolutionary toward , potentially lowering fif_i by orders of magnitude if similar contingencies are required elsewhere. Recent revisions in 2024 have refined fif_i by integrating geoscientific models of , proposing fi=foc×fptf_i = f_{oc} \times f_{pt}, where focf_{oc} is the fraction of habitable planets with significant continents and oceans (estimated at 0.0002 to 0.01), and fptf_{pt} is the fraction sustaining for over 500 million years (less than 0.17). This yields fif_i values from 0.003% to 0.2% (or 3×1053 \times 10^{-5} to 2×1032 \times 10^{-3}), emphasizing how drives nutrient cycling, continental configurations, and long-term oxygenation essential for complex life. These factors, informed by Earth's geological record, suggest that only a tiny subset of life-bearing worlds may achieve the environmental stability needed for .

Contemporary estimates for communication and longevity

Contemporary estimates for the fraction of intelligent civilizations that develop detectable communication technologies, denoted as fcf_c, typically range from 0.01 to 0.1. This range draws from Earth's technological history, where intentional radio transmissions detectable beyond our solar system began in the , spanning roughly a century amid a much longer period of intelligent societal development. Assumptions about detectability emphasize that only a subset of advanced societies may produce signals strong and persistent enough for interstellar observation, such as radio or optical emissions, rather than all achieving such capabilities. The parameter LL, representing the average longevity of civilizations during which they release detectable signals, is estimated at 100 to 10,000 years in recent analyses. These figures account for challenges like maintaining societal stability, managing energy resources sustainably, and mitigating self-destruction risks including geopolitical conflicts, , or technological mishaps. Updates from 2024 studies on inherited behavioral patterns suggest LL may skew toward the lower bound, around 400 years, due to patterns of resource overconsumption and conflict that could precipitate before long-term signaling. Earlier 2020 modeling similarly posits a minimum of 100 years, aligned with humanity's current communication era, highlighting how existential threats curtail persistence. The interplay of fcf_c and LL profoundly shapes predictions in the Drake equation, as even modest intelligent life prevalence can yield few observable civilizations if signaling phases prove fleeting; short LL values thus introduce the dominant uncertainty, underscoring the need for resilient societal evolution to extend detectability windows.

Overall range of predictions

The overall range of predictions for NN, the number of active, communicative extraterrestrial civilizations in the , spans several orders of magnitude due to uncertainties in the Drake equation parameters. Pessimistic scenarios, such as the , suggest N<1N < 1, implying Earth may be the only such civilization, as the emergence of complex life requires an extraordinarily rare combination of astrophysical and geological conditions, including a stable orbit, plate tectonics, a protective magnetic field, and a large moon to stabilize axial tilt. In contrast, optimistic estimates yield N>1,000N > 1,000, potentially up to several million, assuming favorable rates for life emergence and technological development across the galaxy's abundant stars and planets. Recent aggregates as of 2024–2025, incorporating data from exoplanet surveys like Kepler and TESS that reveal a boom in detected planetary systems (with habitable-zone planets around ~20–50% of Sun-like stars), yield N0.001N \approx 0.001 to 100100. These figures reflect boosted astrophysical parameters (e.g., star formation rate R12R^* \approx 1–2 per year and fraction of stars with planets fp1f_p \approx 1) but persistent unknowns in biological factors, such as the fraction of habitable worlds developing intelligent life (fi<0.002f_i < 0.002). For instance, revisions emphasizing geological prerequisites like long-term plate tectonics reduce fif_i to 3×1053 \times 10^{-5} to 2×1032 \times 10^{-3}, yielding N<0.006N < 0.006 to <100,000< 100,000. Sensitivity analyses highlight how variations in key parameters dramatically alter NN. The civilization longevity LL is particularly influential: short durations of 100–400 years (due to self-destruction or natural limits) can drive NN below 0.001, while optimistic spans of 10610^610710^7 years (sustained technological societies) elevate it to thousands, emphasizing the equation's dependence on societal stability. Similarly, fif_i swings results by factors of 10–100; low values tied to rare evolutionary bottlenecks (e.g., multicellularity or ) favor isolation, whereas higher probabilities suggest a crowded , though intermediate N1100N \sim 1–100 values are statistically unlikely under certain probabilistic models. These ranges underscore the Drake equation's role in framing the search for , balancing empirical advances with profound biological and temporal uncertainties.

Variations and Extensions

Classical modifications

One of the early classical modifications to the Drake equation emerged from Michael H. Hart's analysis, which incorporated considerations of to explain the apparent absence of extraterrestrial visitors on . Hart posited that if even a single advanced civilization capable of interstellar migration had arisen in the Galaxy's history, it could have colonized the entire within a few million years due to exponential expansion, yet no such evidence exists. This argument implied that the Drake equation's parameters must collectively yield a very low number of civilizations—effectively adding an implicit factor for the probability or feasibility of and to constrain estimates of communicative societies. Building on similar themes in the , explored the implications of galactic colonization rates in his discussions of SETI and , suggesting that advanced civilizations might rapidly spread across star systems via self-replicating probes or ships. In works like his book The Cosmic Connection, Sagan adjusted Drake equation estimates to account for the potential for interstellar expansion, arguing that the longevity term (L) could be influenced by a civilization's expansion rate, thereby broadening the equation's applicability to scenarios where contact might occur through colonization rather than radio signals alone. This modification emphasized the dynamic spread of technological societies, estimating that high colonization rates could make the teeming with if the initial parameters were favorable. Further classical extensions prior to 2000 adapted the Drake equation for non-technological forms and scales beyond the . To estimate the prevalence of biological without requiring intelligence or , researchers modified the equation by truncating it after the fraction of planets developing (f_l), focusing on habitable environments rather than communicative signals; for instance, early models in the 1980s used this approach to predict microbial or simple multicellular across planetary systems. For broader cosmic applicability, the equation was scaled to multiple galaxies by multiplying the galactic estimate (N) by the number of comparable galaxies in the (approximately 100 billion), allowing assessments of in clusters or the local supercluster while assuming similar stellar and planetary formation rates elsewhere. These alterations, inspired by Hart and Sagan's frameworks, shifted the focus from detection to probabilistic abundance, enhancing the equation's utility in early exobiology studies.

Recent theoretical updates

In recent years, theoretical refinements to the Drake equation have integrated emerging data from , , and cosmology to address uncertainties in the evolution of intelligent . These updates, primarily from 2023 to 2025, emphasize the role of planetary conditions and cosmic dynamics in constraining the fraction of habitable worlds that develop communicative civilizations, often resulting in lower estimates for the number of active extraterrestrial societies (N). A significant 2024 revision incorporates geological factors into the term fif_i, the fraction of life-bearing planets that develop intelligent life, by decomposing it into sub-factors related to surface conditions essential for complex life. Specifically, researchers proposed fi=foc×fptf_i = f_{oc} \times f_{pt}, where focf_{oc} is the fraction of habitable exoplanets with significant continents and oceans (estimated at 0.0002 to 0.01, based on optimal water mass fractions of 0.007%–0.027% of ), and fptf_{pt} is the fraction with long-term lasting at least 500 million years (estimated at less than 0.17, due to requirements like suitable mantle temperatures and stellar compositions). This modification highlights how continental-ocean configurations promote cycling and , while facilitates oxygenation events, such as those leading to oxygen-rich atmospheres conducive to complex multicellular life. The updated equation becomes N=RfpneflfocfptfcLN = R_* \cdot f_p \cdot n_e \cdot f_l \cdot f_{oc} \cdot f_{pt} \cdot f_c \cdot L, potentially reducing N to below 0.006 in pessimistic scenarios. Building on this, 2024 extensions further refine the model by adding factors for the fraction of complex that emerges under these geological constraints, emphasizing that only a small of habitable environments—those with balanced land-ocean distributions—support the evolutionary pathways to technological . These additions underscore the rarity of Earth-like , estimated to occur on fewer than 1 in 10,000 habitable worlds, thereby lowering fif_i to 0.003%–0.2% overall. Such parameters draw from observations and analogs, prioritizing configurations that sustain long-term and biological complexity over simpler microbial . From 2024 to 2025, cosmological models have adjusted the longevity term LL, the average duration of communicative civilizations, to account for the universe's accelerating expansion driven by . A key study incorporates the Lambda-Cold framework, revising LL by factoring in the Hubble constant and detectability windows limited by cosmic expansion, which dilutes signal propagation over time. Optimal densities (around 27% of the universe's composition) maximize rates at 23%–27% of ordinary matter conversion, but observed values near 23% still permit life, though with narrower windows for interstellar detection due to accelerated separation of galaxies. This leads to proposals for additional parameters like density (λd\lambda_d) in extended Drake formulations, suggesting N may be further suppressed in an expanding cosmos. Parallel updates in 2024 introduce birth-death dynamics to model demographics more realistically, treating galactic societies as a balancing (birth rate rcr_c) and (death rate). This collapses traditional parameters into Nc=rc×LcN_c = r_c \times L_c, where NcN_c is the steady-state number of civilizations and LcL_c their collective lifespan, incorporating carrying capacities akin to ecological limits to account for rise/fall rates influenced by resource constraints or self-destruction. The model predicts bimodal outcomes: a crowded with many short-lived societies or an empty one with few long-lived ones, both implying isolation for humanity.

Criticisms and Implications

Methodological limitations

The Drake equation's reliance on Earth-centric analogies introduces significant anthropic bias, as it extrapolates from terrestrial conditions—such as the requirement for liquid water, carbon-based chemistry, and Sun-like stars in habitable zones—to estimate parameters like the fraction of stars with planets (fpf_p) and habitable environments (nen_e). This approach overlooks potential alternative venues for life, including subsurface oceans on icy moons, hydrocarbon solvents on Titan-like worlds, or even rogue planets untethered from stars, thereby underrepresenting the diversity of possible biospheres. A core methodological flaw lies in the equation's assumption of parameter independence, particularly for biological factors like the fraction of habitable planets developing life (flf_l) and the fraction of life-bearing planets evolving intelligent life (fif_i), which likely correlate through shared evolutionary pressures such as planetary stability, nutrient availability, or atmospheric composition. For example, conditions favoring abiogenesis (flf_l) may simultaneously constrain or enhance the pathways to multicellularity and cognition (fif_i), yet the multiplicative structure ignores these interdependencies, leading to potentially overstated or understated probabilities of communicative civilizations. The equation's biological terms—flf_l, fif_i, the fraction developing communication (fcf_c), and civilization longevity (LL)—lack empirical grounding beyond Earth's singular example, rendering it a device for framing astrobiological discussions rather than a precise predictive model. With no direct observations of , estimates for these factors span orders of magnitude (e.g., fif_i ranging from 10910^{-9} to 1 based on optimistic or pessimistic evolutionary models), highlighting its speculative nature and limited scientific validity for quantitative forecasting. A 2025 reassessment of the "hard-steps" model for the of argues that key transitions (e.g., , multicellularity) may not be inherently improbable but delayed by environmental constraints, potentially implying a higher fif_i than rare-event models suggest and linking biospheric more deterministically to windows.

Connection to the

The arises from the apparent contradiction between the high likelihood of extraterrestrial civilizations existing in the , as estimated by the Drake equation's parameter NN, and the complete lack of evidence for their presence or activity. In 1950, during an informal discussion at with colleagues including and , physicist posed the question "Where is everybody?" in response to calculations suggesting that or communication should have occurred if such civilizations were common. This query, now central to the paradox, underscores the tension with optimistic Drake equation estimates predicting potentially thousands of communicative societies, yet none have been detected through radio signals, probes, or other means. Several resolutions to the invoke specific terms in the Drake equation to explain the observed silence. A low value for the average lifetime of communicative civilizations, LL, implies that advanced societies may self-destruct shortly after developing technology, perhaps due to existential risks like nuclear conflict, climate catastrophe, or , rendering the product fifcLf_i f_c L—where fif_i is the fraction developing and fcf_c is the fraction that communicates—sufficiently small to yield NN near zero. Similarly, high barriers to (low fif_i), such as rare evolutionary transitions required for complex , or constraints on communication (low fcf_c), including the possibility that civilizations avoid broadcasting detectable signals like radio waves to evade hostile detection, could suppress NN dramatically. These factors collectively suggest that while may arise frequently, the pathway to long-lived, communicative is exceedingly rare. Recent theoretical work has further tied the Drake equation to the through probabilistic modeling. A 2024 study by Kipping and Lewis reframes the equation using birth and death rates of civilizations, incorporating Jaynes' experiment from , and concludes that the is statistically likely to be either densely populated with intelligent life or almost entirely devoid of it, with intermediate abundances requiring improbable fine-tuning. This "crowded or empty" resolves the by positing that we inhabit an outlier scenario—potentially the first or only civilization—aligning low NN outcomes with the absence of contact while challenging SETI efforts to scan for moderate numbers of signals.

Cultural and Scientific Influence

Representations in media

The 1997 film Contact, directed by and adapted from Carl Sagan's 1985 novel of the same name, prominently features the Drake equation as a central scientific tool in the search for (SETI). In the story, protagonist Ellie Arroway, a radio played by , invokes the equation during congressional testimony to argue for funding SETI efforts, emphasizing its role in estimating the potential number of communicative civilizations in the . This depiction highlights the equation's probabilistic nature while dramatizing the challenges of interstellar detection, drawing directly from Sagan's own interest in and SETI. Science fiction literature has also incorporated the Drake equation to explore themes of cosmic isolation and contact. In Liu Cixin's Remembrance of Earth's Past trilogy, beginning with The Three-Body Problem (2008), the equation appears in dialogues among scientists debating the Fermi paradox and the implications of advanced alien societies, underscoring uncertainties in factors like civilization longevity that shape humanity's vulnerability in a potentially hostile universe. The narrative uses these references to frame broader speculations on interstellar communication and survival strategies. Documentary-style television has further popularized the equation through educational portrayals. The 2014 series Cosmos: A Spacetime Odyssey, hosted by and produced by (Sagan's widow), dedicates part of an episode to the Drake equation, illustrating its components—such as rates and the fraction of developing intelligent —to assess the odds of extraterrestrial civilizations while linking human societal threats like to the equation's variable. This presentation aims to demystify the for general audiences, portraying it as a thought-provoking estimate rather than a precise calculation. Despite these informed depictions, popular media and public discourse often foster misconceptions about the Drake equation, frequently presenting it as irrefutable proof of alien existence rather than a for organizing unknowns in . himself has addressed this error, noting that the equation serves as a framework for discussion and research priorities in SETI, not a mathematical guarantee of , given the wide range of possible values for its variables. Such oversimplifications can exaggerate expectations for contact while overlooking the equation's role in highlighting scientific gaps.

Broader impact on astrobiology

The Drake equation has profoundly shaped exoplanet habitability research by providing a probabilistic framework that emphasizes the factors influencing the emergence and detectability of life, extending beyond its original SETI focus to inform broader astrobiological inquiries. A key adaptation, the "Biosignature Drake Equation" proposed by Sara Seager, reframes the original formula to estimate the number of observable exoplanets with detectable biosignature gases—such as oxygen, methane, or nitrous oxide—that could indicate biological activity. This equation prioritizes spectroscopic observations of planetary atmospheres, guiding the selection of targets in habitable zones and influencing the design of observational strategies for upcoming telescopes. For instance, it has helped refine models for assessing the prevalence of life-bearing worlds by integrating astrophysical data on star formation, planet occurrence rates, and atmospheric retention, thereby directing resources toward potentially habitable systems. This framework has directly impacted missions like the (JWST), which conducts biosignature hunts by analyzing transmission spectra from atmospheres to identify disequilibrium chemistry suggestive of . JWST's observations of s in habitable zones, such as those around M-dwarf stars, draw on Seager's equation to evaluate the feasibility of detecting s within the next decade, potentially constraining the equation's variables like the fraction of habitable planets that develop detectable signatures. By highlighting the observational challenges—such as signal-to-noise ratios and false positives—the equation has spurred advancements in and techniques, fostering a more targeted approach to characterization. Recent studies using JWST data have begun to test these predictions, underscoring the equation's role in bridging theoretical models with . The Drake equation's integration into astrobiology curricula has promoted interdisciplinary studies, linking astronomy with , , and to explore life's origins and distribution. In educational settings, it serves as a pedagogical tool to illustrate scientific and the iterative of testing, encouraging students to estimate variables like the fraction of developing life based on analogs. For example, courses and astrobiology guides use the equation to facilitate discussions on , incorporating biological insights into microbial evolution and planetary environments. This approach has cultivated a generation of researchers adept at cross-disciplinary , evident in programs that combine observational with evolutionary models to refine estimates of life's prevalence. By 2025, the Drake equation's legacy in includes inspiring adapted models for life detection on icy ocean worlds like Europa and , as well as their counterparts. Researchers have modified the equation to account for subsurface habitability in gas giant satellite systems, incorporating factors such as , ocean chemistry, and plume ejecta detectability to estimate the number of potentially life-bearing moons. These adaptations, applied to missions like —which includes a plaque referencing the Drake equation—guide searches for biosignatures in ice grains and subsurface oceans, extending the framework to non-terrestrial environments. Similarly, for exomoons, the equation informs stability analyses and observational biases, predicting that habitable satellites around exoplanets could harbor microbial life, thereby expanding 's scope to diverse solar system analogs.

References

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