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the claim

Black holes exist, as confirmed by gravitational wave detections and imaging of their event horizons.

the verdict
INSUFFICIENT LEANING
Recorded sources
7 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that black holes exist, as confirmed by gravitational wave detections and imaging of their event horizons?

Unclear. Several reference and peer-reviewed sources state that black holes exist and that gravitational-wave detections from merging black holes provide direct evidence for them, but none of the placed items also covers the imaging of event horizons, so the evidence supports only part of the claim.

Verdict: PARTIAL LEAN · 7 sources for, 0 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 7
Event horizon
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Event horizon. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/Event_horizon

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More for · 6
Introducing Black Holes: Event Horizons and Singularities
2014
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Bailyn, C. D. (2014). Introducing Black Holes: Event Horizons and Singularities. doi.org. https://doi.org/10.23943/princeton/9780691148823.003.0001

On the detection of emission near the event horizons of accreting stellar-mass black holes
2024
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Chmyreva, E. & Beskin, G. (2024). On the detection of emission near the event horizons of accreting stellar-mass black holes. doi.org. https://doi.org/10.26119/vak2024.010

Encyclopedia of Astrobiology
2023
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Gargaud, M., Irvine, W. M., Amils, R., Claeys, P., Cleaves, H. J., Gerin, M., Rouan, D., Spohn, T., Tirard, S., & Viso, M. (2023). Encyclopedia of Astrobiology. play.google.com. https://play.google.com/store/books/details?id=KujNEAAAQBAJ&source=gbs_api

Black Holes - NASA Science
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Black Holes - NASA Science. (n.d.). science.nasa.gov. https://science.nasa.gov/universe/black-holes/

Measuring the properties of nearly extremal black holes with gravitational waves
2018
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Katerina, C., Geoffrey, L., & Michael, B. (2018). Measuring the properties of nearly extremal black holes with gravitational waves. authors.library.caltech.edu. https://doi.org/10.1103/physrevd.98.044028

DeepHMC : a deep learning Hamiltonian Monte Carlo algorithm for Bayesian inference of compact binary sources of gravitational waves
2021
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DeepHMC : a deep learning Hamiltonian Monte Carlo algorithm for Bayesian inference of compact binary sources of gravitational waves. (2021). theses.hal.science. https://doi.org/10.70675/110b099cz572ez499fzb10fzbe44f30ae311

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