Скачать или смотреть Eric Lerner Challenges the Big Bang Theory Completely. But is he LYING?

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Is the Big Bang theory dead? Eric Lerner (@LPPFusion) has been pushing plasma cosmology and denying the Big Bang theory for decades. His latest claim is that the Big Bang theory is dead because of a discreptancy in the abundance of lithium isotopes in the Small Magellanic Cloud. But are his arguments against the Big Bang credible? Does the lithium abundance discrepancy disprove the Big Bang theory? How should we approach anomalies in scientific theories?

In this episode, I explain how Lerner's claims, particularly around lithium abundance, are based on a misrepresentation of how science works. Rather than debunking the Big Bang, these anomalies present an opportunity for further discovery. I also ​​discuss the broader implications of Lerner's arguments, placing them within the context of alternative theories in science, and make my case for the ongoing validity of the Big Bang theory.

Key Takeaways:

00:00 Lerner's Big Bang denial claims
02:26 Light element abundance
03:51 Challenging Lerner's lithium argument
22:37 Lerner's alternative model and cherry-picking
34:45 the problem of Science denial
36:05 Outro

Additional resources:
📝 Coc et al. (2014): BBN + Planck: https://arxiv.org/abs/1403.6694
📚 Fields (2011): Lithium Problem: https://arxiv.org/abs/1203.3551
📖 Prantzos (2012): Cosmic Rays: https://arxiv.org/abs/1203.5662
🤓 Howk et al. (2012): SMC Li: https://arxiv.org/abs/1207.3081
💻 PRIMAT PRImordial MATter BBN Code: https://www2.iap.fr/users/pitrou/prim...
PRIMAT is a Mathematica code dedicated to the computation of light elements' abundances at the end of the Big-Bang Nucleosynthesis (BBN). It computes the evolution of these abundances in the first minutes after the Big-Bang so as to obtain the frozen values when the temperature dropped below 108 degrees. It allows to explore the dependence of light elements abundances on cosmological parameters, such as baryon density or number of neutrino species, but also to estimate from a Monte-Carlo method the uncertainty in these predictions due to uncertainties in nuclear reaction rates.

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