hebel. today · 12 November 202656 / 74
Beyond Familiar · Odd Science
Does life hide in the thermosphere or the subatomic void?
Plasma as a life form. Researchers analyzing 91 freeze-frames from NASA space shuttle missions identified self-illuminated plasmoids in the thermosphere that exhibit complex, life-like behaviors. These entities possess double cellular layers and a nucleus,…
From 3 newsletters · 1 min read · one thing to try
Plasma as a life form. Researchers analyzing 91 freeze-frames from NASA space shuttle missions identified self-illuminated plasmoids in the thermosphere that exhibit complex, life-like behaviors (Urban Odyssey). These entities possess double cellular layers and a nucleus, engage in mitosis, and perform abrupt 163-degree turns at velocities reaching 35.6 kilometers per second. The analysis detected filamentary magnetic flux ropes resembling neural networks, suggesting these plasmoids incorporate genomes from bacteria, algae, and fungi to function as a plasma-based genome.
The Standard Model's limits. CERN’s LHCb experiment recently announced evidence for a decay expected once in every ten billion beauty particles, a rate that aligns with the Standard Model (Novy Baf from The Nov Science, Novy Baf from The Nov Science). Physicists define this as a golden channel, where unseen particles might nudge decay rates, yet the 3.2-sigma result remains below the five-sigma threshold required for a formal discovery. This search probes the Zeptoverse, a scale one billionth of a trillionth of a meter, where no deviations from current theory have emerged.
The cosmic mystery. Michael Guillén reports that dark matter and dark energy account for 95 percent of the observable cosmos, yet remain entirely invisible and unidentified (MORE THAN MEETS THE IQ). Edwin Hubble discovered the universe's expansion in 1929, but later observations in 1998 proved this expansion is accelerating rather than slowing. Science relies on a measly five percent of what exists, as dark matter neither radiates nor reflects light.
Try today · 45 min
Perform a frame-by-frame morphological analysis on a video dataset to identify non-linear movement patterns.
Select a video featuring high-velocity objects and track the trajectory of individual entities across at least 50 consecutive frames.
You need
- Video footage of high-velocity phenomena
- Analysis software for frame-by-frame scrubbing
Steps
- Isolate a sequence of at least 50 frames.
- Identify a single entity in the first frame.
- Track the entity's position, velocity, and shape in every 0.2-second interval.
- Record any instances of abrupt trajectory changes or collisions.
- Compare the entity's behavior against standard ballistic motion models.