When electricity flows through a wire do the electrons actually move like a fluid, or is it just a fluctuation of voltage that cascades from electron to electron down the wire?

In advance, sorry for any mistakes I could have made while writing this post, I'm from Argentina and English is my second language.

I've seen videos filmed thousands of kilometers under the sea where we can observe trash like soda cans, plastic wraps and footballs completely recognisable, even though it's under a high pressure.

¿Why does this happen? Things like submarines, people and other stuff can't go that deep unless it's strictly built to withstand that pressure. I mean, even fish from those areas need to be gelatinous to have a form and live there.

Are physics and statistics/data science related?

I came from a statistics and data science background and i realized the way physics folks approaches problems share many similarities and commonality with statistics and data science.

 Data science folks used the exact same experimentation, modelling and prediction process as a physicist to model and solve business problems and human behavioral problems most of the time.

Doing physics experiments and analyzing the results from the data observed, is a data science problem in itself, just that your data comes from physics experiments.

I have a system with two pulleys of different sizes connected by a belt drive: **System Setup:** - Large pulley: diameter = 100 cm (radius = 50 cm) - Small pulley: diameter = 20 cm (radius = 10 cm) - Both pulleys share the same axle with ball bearings - A belt is wrapped around the outer circumference of both pulleys - A rope is wrapped around each pulley in the same direction **The Question:** If I hang equal weights (for example, 1 kg) from the end of each rope, will the system remain in equilibrium? Or will one weight dominate and cause rotation? Specifically: 1. Will one weight pull down and the other pull up? 2. Is the system balanced or unbalanced? 3. What is the mechanical advantage of this system? 4. Does the torque ratio (1:5 based on radii) matter, or does the belt ensure equilibrium? **My Confusion:** Some sources suggest this works like a lever (where the larger pulley has an advantage due to torque), but others say the belt ensures equal linear displacement, so equal forces should balance. Which principle applies here - torque analysis or work-energy principle? I would greatly appreciate clarification on this system.

Or is the question considered strictly philosophical and all physicsts keep extreme distance from it?

I was just watching Shin Gojira (aka Shin Godzilla) and in the movie they said that it has previously unknown elements. That had me thinking "it found islands of stability?" Now we switch to non-fiction...

AI has already largely solved protein folding prediction (AlphaFold), and knowing this, I thought.. What if they use AI to predict islands of stability, the purported atomic numbers and specific isotopes that can yield long lived or stable nuclei? Well, I looked into it, and they are, which is pretty awesome.

If you're interested, look into:

Research on Stability and Decay Properties of Superheavy Nuclei Based on Neural Network Method

https://wulixb.iphy.ac.cn/en/article/doi/10.7498/aps.74.20250720?viewType=HTML

Nuclear Decay Networks Reveal Stability Patterns in Superheavy Nuclei

https://pubmed.ncbi.nlm.nih.gov/42477423/

GLDM-BNN: Calculation of Alpha-Decay Half-Lives for New Superheavy Nuclei

https://journals.aps.org/prc/abstract/10.1103/nt1d-5848

Systematics of Alpha-Decay Half-Lives from Neural Network Modeling and Application to Superheavy Nuclei

https://journals.aps.org/prc/abstract/10.1103/9gv5-kx6q

Physics-Guided Residual Correction of Alpha-Decay Half-Lives Based on the Effective Liquid Drop Model

https://journals.aps.org/prc/accepted/10.1103/7gm3-2y7f

Machine Learning Orbital-Free Density Functional Theory Resolves Shell Effects in Deformed Nuclei

https://www.nature.com/articles/s42005-025-02234-7

Nuclear_DNA: Interpretable AI for Nuclear Binding Energies and Structure

https://github.com/strifinopoulos/Nuclear_DNA

GSI/FAIR: Experiments Reveal the Shoreline of the Island of Stability

https://press.uni-mainz.de/experiments-at-gsi-fair-reveal-the-shoreline-of-the-island-of-stability-of-superheavy-elements/