Key points are not available for this paper at this time.
Abstract Fine-tuning studies whether some physical parameters, or relevant ratios between them, are located within so-called life-permitting intervals of small probability outside of which carbon-based life would not be possible. Recent developments have found estimates of these probabilities that circumvent previous concerns of measurability and selection bias. However, the question remains whether fine-tuning can indeed be known. Using a mathematization of the concepts of learning and knowledge acquisition, we argue that most examples that have been touted as fine-tuned cannot be formally assessed as such. Nevertheless, fine-tuning can be known when the physical parameter is seen as a random variable and it is supported in the nonnegative real line, provided the size of the life-permitting interval is small in relation to the observed value of the parameter.
Building similarity graph...
Analyzing shared references across papers
Loading...
Díaz–Pachón et al. (Mon,) studied this question.
www.synapsesocial.com/papers/68e70ef4b6db6435876882ca — DOI: https://doi.org/10.3847/1538-4365/ad2c88
Daniel Andrés Díaz–Pachón
Ola Hössjer
C Mathew
The Astrophysical Journal Supplement Series
University of Miami
Stockholm University
Building similarity graph...
Analyzing shared references across papers
Loading...