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In simple terms: the mass-shooting forecast was the beginning. Informational Curvature is what I discovered underneath it. The Einstein–Ross framework is where that discovery expands into a larger theory of reality, intelligence, and prevention. #QuantumFieldEquation #InformationalCurvature

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The Einstein–Ross Quantum Field Equation is the broader theoretical expression of that discovery: an original informational-curvature extension of Einstein’s field equations, designed to explore how information, causality, matter, energy, and prediction may be connected at a deeper level.

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It is about identifying where the social-information field is bending toward danger, so communities, officials, researchers, and prevention networks can act earlier.

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The Lewiston Institute applies Informational Curvature to public safety by measuring where risk is concentrating before tragedy fully emerges. This is not about predicting fate or targeting individuals.

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They emerge from distorted information environments — patterns of trauma, threat signals, instability, grievance, location history, social pressure, and institutional blind spots. I call this distortion Informational Curvature.

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horizonmedia.bsky.social @horizonmedia.bsky.social · 29/01/2026

My original research began with one urgent question: can we detect the conditions that precede mass shootings before they happen? Through that work, I discovered that these tragedies are not isolated events.

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Reposted by Artisan Ross

The Susan Collins' Guide to Trump 2.0. "He's learned his lesson." "He'll be more cautious." "I'm concerned." "Secretary Noem promised it's over." How’s that working out for Maine?

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Reposted by Artisan Ross

horizonmedia.bsky.social @horizonmedia.bsky.social · 08/01/2026

This means that the agent was involved in one of two previous incidents in the Chicago area during "Operation Midway Blitz" that DHS also classified as a vehicle-as-a-weapon incident, involving either Marimar Martinez, who was injured (lived), or Silverio Villegas González, who was killed.

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Reposted by Artisan Ross

horizonmedia.bsky.social @horizonmedia.bsky.social · 08/01/2026

Did anyone else catch this part? Homeland Security Secretary Kristi Noem defended the actions of the ICE agent who fatally shot Renee Nicole Good (a U.S. citizen) in Minneapolis and also said the agent involved was also involved in a prior incident where a vehicle was used as a weapon.

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Artisan Ross @lewiston.bsky.social · 25/10/2025

Today marks two years since the Lewiston Maine mass shootings. We remember the 18 lives lost and the 13 wounded who endured unimaginable trauma. Our hearts are with the families and community members who continue to carry this heavy loss. #LewistonStrong #NeverForget

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Reposted by Artisan Ross

Karl Kuszaj @karlkuszaj.bsky.social · 14/10/2025

The Supreme Court just turned away Alex Jones' effort to block the $1.5 billion judgment, allowing The Onion to turn Infowars into a parody of itself. The man who spent years calling tragedy fake news might soon have his website run by actual satirists. What a shame. www.nbcnews.com/politics/sup...

nbcnews.com

Supreme Court turns away Alex Jones' attempt to block $1.5B defamation judgment

The conspiracy theorist had asked the justices to immediately intervene, warning that the ownership of his Infowars website could be transferred to the satirical news site The Onion.

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So, if data can reveal these hidden patterns, what responsibility do we have to act on them before the next tragedy occurs?

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Even with limited data, the model has achieved measurable accuracy, identifying high-risk periods months in advance. It proves that what we’ve long considered “rare” may simply be what we haven’t yet learned to recognize.

At the Lewiston Institute, we took that challenge seriously. Our system, SentinelForecast360, uses patterns found in environmental and temporal factors — not human profiling — to forecast when and where mass shootings are most likely to occur.

The National Institute of Justice has long noted that the real challenge isn’t a lack of desire to understand these tragedies, but a lack of consistent data. Explaining, “The research community must develop a strategy to source, code, check, and analyze the data surrounding rare violent incidents.”

Experts describe mass shootings as “rare events” — the kind that data scientists call outliers, and policymakers label “impossible to foresee.”

Closing Question: If predictive modeling can be designed to protect lives without bias, shouldn’t we explore how to use it responsibly?

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By removing demographic and socioeconomic variables, SentinelForecast360 avoids the pitfalls of biased policing models and instead provides ethical, data-driven foresight designed to protect communities, not profile them.

It uses objective, non-identifiable data such as environmental conditions, temporal patterns, and historical incidents to identify when and where risk is statistically highest.

At the Lewiston Institute, our approach is different. SentinelForecast360 focuses exclusively on forecasting mass shooting risks—not individual behavior.

The Brennan Center for Justice cautions that many predictive policing algorithms amplify existing systemic biases, noting that these systems “use algorithms to analyze massive amounts of information in order to predict and help prevent potential future crimes.”

You’re absolutely right that predictive technology can be dangerous in the wrong hands. But when built ethically and transparently, it can also empower communities and policymakers to act before lives are lost — without violating anyone’s civil rights.

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Unlike mass surveillance systems or “pre-crime” units, our model doesn’t monitor individuals or use personal data. It analyzes environmental and behavioral patterns drawn from open-source incident data to identify where conditions for violence are statistically forming — not who will commit it.

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You raise a valid point — much of today’s AI is profit-driven, designed to serve corporate or political interests rather than public safety or human rights. That’s one of the biggest reasons I built SentinelForecast360 independently.

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6️⃣ Closing Question: If AI can detect patterns that signal risk before tragedy strikes, should we not use it to save lives?

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5️⃣ This shows that while AI may not “think” like humans, it can reveal patterns invisible to us, giving communities and law enforcement actionable foresight.

4️⃣ In 2025, SentinelForecast360 identified April and August as the highest-risk months for mass shootings in Los Angeles—and eight tracked incidents confirmed the forecast, achieving 76 percent predictive accuracy.

3️⃣ At the Lewiston Institute, we challenged that assumption. Our AI system, SentinelForecast360, doesn’t try to predict human intent—it analyzes historical incidents, environmental conditions, and temporal patterns to forecast risk.

2️⃣ Deutsch says: “a mere AI is incapable of having any such ideas, because the capacity for considering them has been designed out of its constitution.”