Simulcast on KGRA Radio, YouTube, Facebook & Twitch – Tuesday, March 15th, 6:00-8:00 PM EDT (-4GMT)
DR. GARRY NOLAN is a Professor of Pathology at Stanford University. His research ranges from cancer to systems immunology. His involvement with UAP began after he was asked to use his “blood analysis instrumentation” to help with cases of pilots who were close to alleged UAPs and brain damage.
His robust resume—300 research articles, 40 US patents, founding of eight biotech companies, and honored as one of Stanford’s top 25 inventors—makes him, easily, one of the most accomplished scientists publicly studying UAPs. Stanford Bio: https://profiles.stanford.edu/garry-nolan
LUIS “LUE” ELIZONDO is a former Senior Intelligence Official, Disclosure Advocate, National Security Expert, Former Director of the Pentagon’s UFO/UAP Program (AATIP)In 2008 Lue was asked to be part of the now-famous Advanced Aerospace Threat Identification Program (AATIP). In 2010, as a Staff member for the Office of the Secretary of Defense (OSD), I assumed the lead role for this endeavor. Our mission was to conduct scientific-based, intelligence investigations of incursions by Unidentified Aerial Phenomena (UAPs) into controlled U.S. airspace. In 2017, with a heavy heart, Lue resigned from his position inside the Pentagon in an effort to raise awareness of the UAP issue. The decision to resign was based on Lue’s sense of loyalty to the Secretary and his beloved Department, in order to dismantle the bureaucratic silos and stovepipes hindering the conversation about this important topic. For a complete bio and upcoming events, visit: https://luiselizondo-official.com/ For full bio: https://podcastufo.com/show-notes/luis-elizondo/
Intersting PDF’s
Inflation Theory Implications for Extraterrestrial Visitation Wow Signal of the Terrestrial Genetic Code Moore’s Law Applied to Genomic Complexity
Interesting articles you posted, Martin. I read through all three PDF’s, and noticed some unusual trends. In the first PDF, most of the citations are with using string theory, and brane theory. Both a fine theories in their own regard, but lack one simple thing. They have no experimental confirmation as of this date. They are purely mathematical discriptions of models that help to explain the differences between the world of General Relativity, and the world of Quantum Mechanics. While this is a noble effort, it is still a mathematical construct without testable experimental data upon which to bas these theories upon. In the second PDF, the author writes a very compelling explanation for how genetic code can be statistically analyzed, and extrapolated to it’s origin. Unfortunately, as even the author’s state, this presumes a linear state of evolution. There’s been no experimental evidence to support this notion, and if there are linear portions of data to explain the arisal of life, then there would be several of these linear growth areas interspersed with logarithmic sections, or at least geometric areas of the curve. Therefore their extrapolation to 10^9 +/- 2.5 X 10^9 is a huge variance constituting a two differential median. This would require Z=0, or a P = 0.50, which is an equivocal state that is basically 50:50, or up to random chance intervals. Not very helpful, but interesting, nonetheless. In regards to the last PDF, it seems to suffer from the same problems as the first two. Namely no experimental evidence to support their hypothesis, and only statistical correlation to be the major plank of their argument. While tantalizing as it is, it’s no more acceptable as a hypothesis as are many other conjectures on the subject. Without collaborative evidence, this simply becomes a mental exercise in logic, statistics, and correlation without any substantiative support. Hopefully this will all change with the passage of time. But until then, this is more fringe speculation and serves science in no capacity other than to stimulate consideration of testable hypotheses in the future.