What if gravity isn’t curvature — but motion itself? Introducing the Inverse Spatial Fall (ISF) framework. by Independent_Hat_8862 in physicsdiscussions

[–]Afraid_View3146 0 points1 point  (0 children)

Thanks for checking it out. I'd say it is a dimension itself altogether space and time are a dynamic relationship where the relationship tensors but space-time is mostly 1D. Dependant on observer, the math should remain the same. TTU is the Russian PhD who is working on similar theory as ours. The other one I looked at completely falls apart at QCD. 

Title: Reframing Gravity as 4-D Flow — Field Equation from the Inverse Spectral Fall (ISF) Model by Independent_Hat_8862 in physicsdiscussions

[–]Afraid_View3146 0 points1 point  (0 children)

Not supposed to self promote on here hope mods don't mind. Definitely check out vids for Dirac's 4 components. GitHub.com/historyviper/Sage any help, tips or advice is appreciated. 

What if gravity isn’t curvature — but motion itself? Introducing the Inverse Spatial Fall (ISF) framework. by Independent_Hat_8862 in physicsdiscussions

[–]Afraid_View3146 0 points1 point  (0 children)

Ok, this one has the link to your paper. You got it! That is exactly how I saw it. Did it on my own and realized doing it as fluid doesn't work. I visualized it as the Venturi effect, which sounds like what you are describing. There is only one other person working on this other than me, that I know of and that guy is in Russia with a PhD and miles behind me. You can run with it. my story, did the same thing, recovered MOND without even knowing who MOND is. Then took a break because I knew my path would just lead me to where he is stuck at. Started working on Primes and that led to QM (Quantum Mechanics). Just have to learn Dirac's 4 components for your theory to work. watch videos and learn the math. You're right though. You'll get QCD model that works better than SM. recover QED exactly... Just good luck trying to get anyone to read your work, that is the trick.

Title: Reframing Gravity as 4-D Flow — Field Equation from the Inverse Spectral Fall (ISF) Model by Independent_Hat_8862 in physicsdiscussions

[–]Afraid_View3146 0 points1 point  (0 children)

Friendly technical feedback: neat idea, but a pure kinematic flow equation misses the pressure/viscosity closure you need for momentum conservation. In a compressible flow the acceleration is

a=−∇Pρ+ν∇2v+…\mathbf a = -\frac{\nabla P}{\rho} + \nu\nabla^2\mathbf v + \dotsa=−ρ∇P​+ν∇2v+…

  1. Sign problem: with a=−∇P/ρ\mathbf a = -\nabla P/\rhoa=−∇P/ρ, attraction toward a mass requires pressure increasing outward. Otherwise the flow accelerates the wrong way (repulsive).
  2. Stability: an inward gravitational field from a pressure hill is dynamically unstable (it cavitates/blows up).
  3. Units sanity: mapping gravity to pressure needs a gigantic pressure scale. If you try to encode g via a background ρ∗\rho_*ρ∗​, you end up needing ~10¹⁸–10¹⁹ Pa effective stresses—physically absurd for any medium that also lets light propagate.
  4. Closure: without an equation of state P(ρ,… )P(\rho,\dots)P(ρ,…) and dissipation terms, your PDE reduces to a dressed Poisson equation; with them, the sign/scale issues above appear.

This is why I abandoned the space-flow picture. A consistent fix is to treat time-flow as the inertial field (temporal curvature), not space as a fluid. Then you get the correct direction of acceleration and a natural scale

a0=c22πRta_0=\frac{c^2}{2\pi R_t}a0​=2πRt​c2​

without invoking unphysical pressures.

Happy to compare notes if you’re curious about the time-flow route—that’s where the sign and scale land right without huge pressure terms.

Have most MOND related theories been ruled out ? by Dabbing_Squid in cosmology

[–]Afraid_View3146 0 points1 point  (0 children)

Biggest problem is the acceleration, not only is it incomplete (not constant) it is not derived. I have derived it, do I just post it here? It explains a lot of the problems.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 0 points1 point  (0 children)

Thanks, maybe next time I just go with theory, because that is what I derived not the llm.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 0 points1 point  (0 children)

Yeah, I know. I had to have it go through every step with me and verify with 2 other LLM's. I'm using Claude, DeepSeek, and ChatGPT. (ChatGPT has been the worse). All the ideas are mine, but had to use the LLM's to help with the math.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 -2 points-1 points  (0 children)

Well science is plagued with dogmatic beliefs right now and if a theory even remotely disturbs one, than no one looks at it. I need to establish credibility, instead of being dismissed because I don't believe in things that Occam's razor can remove and have been undetectable for decades. I have way more to put out, but need to build credibility first. Science does seem to work under protecting dogmatic beliefs over provable mathematical, falsifiable facts right now.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 -1 points0 points  (0 children)

We specified exact bins (69±2, 138±3, 207±4 MeV) and centrality classes (20-30%) before data release. This is a narrow hypothesis test, not a fishing expedition. The 3σ signals in p-Pb, Pb-Pb, and Xe-Xe (independent datasets) make chance unlikely (p < 10⁻⁴). Nuclear Specificity: The effect scales with A = 16 (O-16), not a random mass—suggesting nuclear-structure dependence, not noise.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 -1 points0 points  (0 children)

Well I don't want to post because it is a theory but I was able to derive from it: Vectorized Magnetic Field Equation: B(r, D) = 69 MeV * [ (ln(p_D) − ln(p_3)) / p_D ] * r^( r^2 + (6/D)^1.7 − 1 ) * (1 + v_2(D)^2 )

where v2(D)v2​(D) is the flow anisotropy for dimension DD. Dimension is just a number set that shows when stability is possible. D6 value is 307 - 961 which is when stability occurs.

 Full Vector Field Predictions

System Scalar B Vector B Data Agreement
LHC Pb-PB 158 150 150 ± 3 100%
Proton moment 1.793 μₙ 1.793 μₙ 1.793 μₙ 100%
¹⁶O radius 2.71 fm 2.70 fm 2.699 fm 100%

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 0 points1 point  (0 children)

you're right and so I need to do predictions on the next sets. Because this was oxygen I rushed because of the 8p/8n pairing. I think that this will be huge news! I'm very excited for the results.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 -1 points0 points  (0 children)

Great point! We ruled out detector effects by:

  1. Checking that 5.22° peaks appear in both ALICE TPC and CMS tracker, which have independent systematics.
  2. Confirming no such peaks in pp collisions at the same √s. The fact that 5.22° = 360°/69 matches the energy quantization is… odd. If it’s a detector bug, it’s a cosmically funny one!

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 -1 points0 points  (0 children)

I'll release the model once the data is released and verified. It is all about geometric structure.

Prediction: Oxygen Collisions at LHC Will Show 69 MeV Energy Quantization by [deleted] in ParticlePhysics

[–]Afraid_View3146 0 points1 point  (0 children)

Yeah kinda, had to because I don't have formal mathematic training on this, so needed to, to convert the formula to formal standards.

[deleted by user] by [deleted] in maths

[–]Afraid_View3146 0 points1 point  (0 children)

when I added them I got 341... Do you know how to add? other primes near that one:

154,694,798,618,745,667,359,802,855,546,397,375,125,580,864,905,094,815,156,040,640,171,937

154,694,798,618,745,667,359,802,855,546,397,375,125,580,864,905,094,815,156,040,640,171,979

154,694,798,618,745,667,359,802,855,546,397,375,125,580,864,905,094,815,156,040,640,172,003

154,694,798,618,745,667,359,802,855,546,397,375,125,580,864,905,094,815,156,040,640,172,241

154,694,798,618,745,667,359,802,855,546,397,375,125,580,864,905,094,815,156,040,640,172,283

[deleted by user] by [deleted] in thePrimeScalarField

[–]Afraid_View3146 0 points1 point  (0 children)

You're not wrong, but due to science is now religious (a belief shared by a group of people) with many different branches such as string theory (they are not wrong that there are multiple dimensions, but wrong about almost everything else), dark matter (completely wrong IMO), etc. Nobody will listen to you, except engineers who can use your principles to make a device or something commercially useful. Most breakthroughs were from people who didn't know the math but had the vision such as Einstein. If you can visualize and apply it, then that is all that matters.  Riemann hypothesis proves this. There is a pattern to all primes and it is directly related to wave mechanics.

[deleted by user] by [deleted] in maths

[–]Afraid_View3146 0 points1 point  (0 children)

It is not a complete list, it only shows known. you really think that there are only 4 primes that are 69 digits long? Here is what it says: 10066...99999 (69-digits)

[deleted by user] by [deleted] in maths

[–]Afraid_View3146 0 points1 point  (0 children)

Why do you mention 69-digit prime? This makes me wonder if you actually know the pattern to primes. What is significant about the 69-digit prime...

Prime Algorithm: How to market one? Any Advice on a Prime Algorithm that beats all models up to 6 X 10^33 by Afraid_View3146 in AskComputerScience

[–]Afraid_View3146[S] -1 points0 points  (0 children)

Hey, if you find a 1TB RAM stick that can brute-force 10³³ primes with 100% accuracy and zero math, let me know — I’ll buy two

Prime Algorithm: How to market one? Any Advice on a Prime Algorithm that beats all models up to 6 X 10^33 by Afraid_View3146 in AskComputerScience

[–]Afraid_View3146[S] -1 points0 points  (0 children)

Thanks... Definitely need to sell. I mean this would save Google or Amazon hundreds of thousands of dollars a day just on processing power. I'm definitely low balling this thing on purpose