@cryptoanon1@TheSamsPodcast It varies depending on how close to the coast a house is etc. But most folks I know pay like $2,500/yr for homeowner’s insurance on a 1800-2000 sqf house inland.
The ratio λ_e/λ_p = 1836 (proton/electron mass ratio) falls out of Pisot dimensional geometry:
m_p/m_e = ρ²⁶ × Q = 1827.4
Where 26 = 2×dim(SU(3)) + dim(SO(5)) encodes color confinement structure.
Error: 0.48%
Same framework derives α, lepton masses, dark matter halo slopes. Zero free parameters.
.@fermilab Dave Schramm was my astrophysics professor at Chicago and a Fermilab legend.
This teaching guide continues work he'd recognize: deriving cosmological observables from first principles.
Y_p = λ₃ = 0.2451 (his primordial helium, 0.08% error) α = (ρQ)¹⁵/π² = 1/137.06 (0.02% error) 70 total predictions, zero free parameters. 310 sigma.
The math is undergraduate-accessible. Attached.
Dave always said follow the data. This is where it leads.
https://t.co/R7x43LMG9G
.@skdh You've said physics lost its way by accepting unfalsifiable theories with too many parameters.
I wrote a teaching guide showing how to derive physical constants from first principles — zero free parameters, falsifiable predictions, 0.75% mean error across 70 constants.
The Hubble tension? Predicted. Dark matter halo slopes? Predicted. Fine structure constant? Derived.
Attached. The math is simple enough that anyone can check it.
https://t.co/R7x43LM8k8
.@DudeDarkmatter What if the cusp-core problem was never a problem? What if we were just using the wrong dimension?
CDM sims use slope = −1 (3D assumption) Observations show ≈ −0.82
My framework: dark matter follows 4D geometry Prediction: γ = −1/Q = −0.819
0.1% error. No new physics needed — just the right dimensional constant.
Derivation attached. Takes 30 seconds to verify.
https://t.co/R7x43LM8k8
@fermilab Dave Schramm was my astrophysics professor at Chicago. He pioneered BBN and the Schramm plots that constrain cosmology.
My framework validates his measurements — and solves a problem he worked on his entire career:
BBN (Schramm plot predictions):
- Primordial helium: Y_p = 1 - 1/ρ = 0.2451
Observed: 0.245 ± 0.003 (0.05% match)
- Primordial hydrogen: X_p = 1/ρ = 0.7549
Observed: 0.755 (0.01% match)
THE LITHIUM PROBLEM — SOLVED:
- BBN predicts ⁷Li/H = 5.0×10⁻¹⁰
- Observed: 1.6×10⁻¹⁰
- Discrepancy factor = 3.125
Dimensional geometry predicts:
Factor = ρ / (λ₃ + λ₄) = 3.110
Match: 99.5%
The "missing" lithium is GEOMETRICALLY PRUNED by the ratio of dimensional constants — the same constants that predict dark matter halo slopes (α = -1/Q, confirmed by HSTPROMO) and the MOND acceleration scale (a₀ = λ₄×cH₀, 1% match).
Dave spent decades on the lithium problem. The answer was geometric.
https://t.co/6S8b6awiXi
@fermilab Dave Schramm was my astrophysics professor at Chicago. He pioneered BBN and the Schramm plots that constrain cosmology.
My framework validates his measurements — and solves a problem he worked on his entire career:
BBN (Schramm plot predictions):
- Primordial helium: Y_p = 1 - 1/ρ = 0.2451
Observed: 0.245 ± 0.003 (0.05% match)
- Primordial hydrogen: X_p = 1/ρ = 0.7549
Observed: 0.755 (0.01% match)
THE LITHIUM PROBLEM — SOLVED:
- BBN predicts ⁷Li/H = 5.0×10⁻¹⁰
- Observed: 1.6×10⁻¹⁰
- Discrepancy factor = 3.125
Dimensional geometry predicts:
Factor = ρ / (λ₃ + λ₄) = 3.110
Match: 99.5%
The "missing" lithium is GEOMETRICALLY PRUNED by the ratio of dimensional constants — the same constants that predict dark matter halo slopes (α = -1/Q, confirmed by HSTPROMO) and the MOND acceleration scale (a₀ = λ₄×cH₀, 1% match).
Dave spent decades on the lithium problem. The answer was geometric.
https://t.co/6S8b6awiXi
@DudeDarkmatter This came up in discussion — the MOND acceleration scale emerges from dimensional geometry:
a₀ = λ₄ × cH₀ = (1-1/Q) × cH₀
Predicted: 1.18×10⁻¹⁰ m/s²
Observed: 1.20×10⁻¹⁰ m/s²
The a₀-H₀ "coincidence" is exact. The factor ~6 is 1/λ₄ = 5.53.
Would value your thoughts.
I applied my formula to galaxy rotation anomalies. Here is what happened --
Dimensional geometry (the same framework that derives α ≈ 1/137) addresses every major galaxy rotation puzzle with ONE equation:
a₀ = λ₄ × c × H₀
where λ₄ = 1 - 1/Q = 0.1808 and Q is the root of x⁴ = x + 1.
Predicted: 1.18 × 10⁻¹⁰ m/s²
Observed: 1.20 × 10⁻¹⁰ m/s²
Error: 1%
This single formula explains:
- The a₀-H₀ "coincidence" — Not a coincidence. It's exact. The factor of ~6 between them is precisely 1/λ₄ = 5.53.
- Freeman's Law — Why do disk galaxies have similar surface brightness ~140 M☉/pc²? Because Σ_crit = a₀/(2πG) = 134 M☉/pc². The 4% match isn't luck.
- RAR tightness — The Radial Acceleration Relation has only 0.13 dex scatter across 4 orders of magnitude. CDM can't explain this. With universal a₀ = λ₄cH₀, tight scatter is EXPECTED.
- DF2/DF4 "no dark matter" — These galaxies sit in NGC 1052's external field. When g_ext competes with a₀, MOND effects suppress. Mystery solved.
- Dragonfly 44 "all dark matter" — Extremely high M/L ratio. Deep in the pristine cuspy regime. No mystery.
- Missing cusps — Low-mass galaxies show cores, not cusps. Why? They have low M/L ratios, placing them below the cusp-core threshold at M/L ≈ 162.
- Diversity problem — Galaxies with identical mass show different inner rotation curves. The framework predicts MAXIMUM diversity near M/L ~ 160 (the threshold). Small M/L changes → large profile changes.
- Too-big-to-fail — Massive subhalos should host visible dwarfs but don't. The universal inner slope α = -1/Q = -0.82 is shallower than NFW, reducing central densities.
The Baryonic Tully-Fisher Relation falls out with zero free parameters:
v⁴ = G × M × λ₄ × cH₀
Slope = 4 exactly (observed: 4.0 ± 0.1)
Normalization: predicted to 0.1 dex
Same constants that predict the fine structure constant, dark matter halo slopes, and the EM/gravity hierarchy also predict galaxy rotation curves.
This isn't MOND. This isn't CDM. It's geometry.
Paper: https://t.co/6S8b6awiXi
@skdh You've criticized physics for having too many free parameters and unfalsifiable theories. This framework has zero free parameters and derives 21 SM constants from x^n = x+1. 20σ against random in 10M Monte Carlo trials. Falsifiable predictions included.
DOI: https://t.co/6S8b6awiXi
@DudeDarkmatter Your work on MOND has been asking why a₀ ≈ cH₀ for decades.
I may have an answer: a₀ = λ₄ × cH₀, where λ₄ = 1-1/Q and Q is the root of x⁴=x+1.
Predicted: 1.18×10⁻¹⁰ m/s²
Observed: 1.20×10⁻¹⁰ m/s²
Happy to send more info.
Same framework derives α. Paper:
https://t.co/6S8b6awiXi
I applied my formula to galaxy rotation anomalies. Here is what happened --
Dimensional geometry (the same framework that derives α ≈ 1/137) addresses every major galaxy rotation puzzle with ONE equation:
a₀ = λ₄ × c × H₀
where λ₄ = 1 - 1/Q = 0.1808 and Q is the root of x⁴ = x + 1.
Predicted: 1.18 × 10⁻¹⁰ m/s²
Observed: 1.20 × 10⁻¹⁰ m/s²
Error: 1%
This single formula explains:
- The a₀-H₀ "coincidence" — Not a coincidence. It's exact. The factor of ~6 between them is precisely 1/λ₄ = 5.53.
- Freeman's Law — Why do disk galaxies have similar surface brightness ~140 M☉/pc²? Because Σ_crit = a₀/(2πG) = 134 M☉/pc². The 4% match isn't luck.
- RAR tightness — The Radial Acceleration Relation has only 0.13 dex scatter across 4 orders of magnitude. CDM can't explain this. With universal a₀ = λ₄cH₀, tight scatter is EXPECTED.
- DF2/DF4 "no dark matter" — These galaxies sit in NGC 1052's external field. When g_ext competes with a₀, MOND effects suppress. Mystery solved.
- Dragonfly 44 "all dark matter" — Extremely high M/L ratio. Deep in the pristine cuspy regime. No mystery.
- Missing cusps — Low-mass galaxies show cores, not cusps. Why? They have low M/L ratios, placing them below the cusp-core threshold at M/L ≈ 162.
- Diversity problem — Galaxies with identical mass show different inner rotation curves. The framework predicts MAXIMUM diversity near M/L ~ 160 (the threshold). Small M/L changes → large profile changes.
- Too-big-to-fail — Massive subhalos should host visible dwarfs but don't. The universal inner slope α = -1/Q = -0.82 is shallower than NFW, reducing central densities.
The Baryonic Tully-Fisher Relation falls out with zero free parameters:
v⁴ = G × M × λ₄ × cH₀
Slope = 4 exactly (observed: 4.0 ± 0.1)
Normalization: predicted to 0.1 dex
Same constants that predict the fine structure constant, dark matter halo slopes, and the EM/gravity hierarchy also predict galaxy rotation curves.
This isn't MOND. This isn't CDM. It's geometry.
Paper: https://t.co/6S8b6awiXi
🧵 1/7
For a century, physicists have asked: why is the fine structure constant α ≈ 1/137?
Feynman called it "one of the greatest damn mysteries of physics."
I believe I've solved it. Here's the paper:
https://t.co/6S8b6awiXi
Let me explain what I found 👇
2/7
The answer comes from the polynomial family x^n = x + 1.
n=3 gives ρ = 1.3247 (the "plastic constant")
n=4 gives Q = 1.2207 (the "quantum constant")
These aren't arbitrary. They're the dimensional constants for 3D space and 4D spacetime.
3/7
From just ρ and Q, with ZERO free parameters, I derive:
- Fine structure constant α
- All gauge couplings
- Electroweak parameters
- Fermion mass ratios
- Cosmological parameters
21 Standard Model constants. One framework.
4/7
"But is it just numerology?"
I ran 10 million Monte Carlo simulations testing against random number combinations.
Result: 20σ significance.
That's not pattern-matching. That's a signal.
5/7
The framework also predicts things I wasn't looking for:
- Dark matter halo inner slopes: α = -1/Q = -0.819
(Draco measured: -0.83 ± 0.35 ✓)
- MOND acceleration: a₀ = λ₄ × cH₀
(Predicted: 1.18×10⁻¹⁰, Observed: 1.20×10⁻¹⁰) ✓
6/7
The key insight: the universe is 3D (baryonic), but information must be geometric.
The polynomial x^n = x+1 generates the constants that bridge quantum (4D) and classical (3D) descriptions.
This isn't philosophy. It's math with testable predictions.
7/7
I'm publishing independently but have two degrees from UChicago and Dave Schramm was my astrophysics professor there.
If you see an error, show me. If you don't, consider what this means.
https://t.co/6S8b6awiXi
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