Statistically talking, we should always now have heard of Aliens

The Fermi paradox, named after the physicist Enrico Fermi, emphasizes a contradiction in our understanding of extraterrestrial life: Despite the billion of stars with potentially habitable planets and the huge age of our galaxy, which delivers sufficient time for the development and spread of civilizations, we have not discovered any indications of their existence. This lack of contact is particularly puzzling when you consider that a technologically advanced civilization could theoretically colonize the entire Milky Way within a few million years – a short moment in cosmic periods.

Enrico Fermi, Italian-American physicist, (credit: Department of Energy-Office of Public Affairs)

One factor for the exam is of course the number of potential civilizations. The Drake equation is a mathematical formula developed by the astronomer Frank Drake to estimate the number of active, communicative extraterrestrial civilizations in a milky way. It multiplies several factors, including the starry rate, the fraction of the stars with planets, the number of habitable planets per star, the fraction of these planets, where life arises, the break in which intelligent life develops, the number of civilizations, the recognizable communication technologies develop, and the average lifespan of such civilizations.

The Drake equation suggests that there should be many civilizations, but searches like SETI have not recognized any signals. This raises questions about whether SETI is a valuable scientific effort. A paper written by Matthew Civiletti from the University of New York does not answer this question directly, but offers instead to assess how likely it is that we have now discovered a signal if a certain number of civilizations had been broadcast. If the chance is low, the lack of detection may not be surprising. If it is high, the silence could make sense. The paper also shows how these probabilities can contribute to narrowing down the possible values ​​in the Drake equation.

Frank Drake (loan: Amalex5)

The paper begins with the research of the geometric aspects of the problem, then calculates the likelihood of capturing a single signal, and this extends this to the probability of at least detection. Based on previous studies, it offers a precise solution in two dimensions and a practical approach to individual observations, which shows that the position of the earth does not influence the chances of recognition in simple cases. This makes it easier to apply the model to more complex scenarios. The main contribution is to link these results with the Drake equation and shows how a lack of SETI recognitions can help to narrow down its parameters.

The paper presents a model to examine the Fermi paradox and evaluate the value of SETI when looking for intelligent life. Despite its restrictions, the model suggests that the lack of recognized electromagnetic signals from foreign civilizations can determine limits for the many such civilizations. Under certain assumptions, the model predicts a 99% probability of recognizing at least one signal if the estimated number of civilizations (based on the Drake equation) is 1. Although this is a basic model, it shows that even a lack of results from SETI can help to exclude certain combinations and lifespan of civilizations and potentially relieve the solving of the Fermi paradox.

Studies such as civilettis offer valuable instruments for understanding the Fermi paradox. By combining the modeling with the Drake equation, the paper shows how even the lack of evidence can be scientifically sensible. If the SETI efforts continue and models improve, we are increasingly not able to use as a dead end as a dead end, but as data points that refine our understanding of the cosmos and our place in it. Ultimately, the search for extraterrestrial intelligence is not just about finding others, but also an opportunity to better understand ourselves and the conditions that enable intelligent life.

Source: Quantification of the Fermi paradox via passive Seti: a general framework

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