Beware 'Digital Twins': They're coming to a legal jurisdiction near you, and soon!
The meaning and significance of the term "digital twins," as used by the United Nations
This essay is motivated by an article published by The Exposé: UN CODES is using the fabricated climate crisis to usher in digital twins and the Internet of Things
What are "digital twins"—a term being used by the United Nations?
"Digital twins" are virtual representations or digital replicas of physical objects, systems, or environments. In other words, they are models of phenomena that enable understanding and/or prediction of how a phenomenon actually behaves in the real world. They can be animated by integrating data from various sources like sensors, simulations, and mathematical models to drive a comprehensive digital model that is coded to mirror (often imperfectly) some real-world counterpart.
Examples: Global climate models, econometric models and the "war games" commonly used by national militaries to estimate the results of a hypothetical battle or war.
The term "digital twins" has become popular among international governing institutions, such as the United Nations. The United Nations promotes the use of digital twins (typically, computer models implemented by program code) for several reasons:
1. Sustainable urban planning and development: Digital twins of cities can help visualize and simulate different scenarios for urban planning, infrastructure development, traffic management, and resource utilization. This aids in making data-driven decisions for sustainable and resilient cities.
2. Supporting the UN Sustainable Development Goals (SDGs): Digital twins can contribute to achieving various SDGs by enabling better monitoring, analysis, and optimization of systems related to energy, water, agriculture, healthcare, education, and more. They can help identify inefficiencies, predict outcomes, and optimize resource utilization.
3. Environmental monitoring and protection: Digital twins can be created for natural environments like oceans, forests, and ecosystems. The European Union has committed to developing a "Digital Twin Ocean" to provide data and knowledge for sustainable ocean management and conservation.
4. Infrastructure management: Digital twins can be used for monitoring and maintaining critical infrastructure like buildings, bridges, transportation networks, and utilities. This can improve safety, efficiency, and resilience.
5. Industrial and manufacturing optimization: In industries like oil and gas, digital twins can integrate data from various sources to optimize operations, improve productivity, reduce environmental impact, and enhance safety.
The UN sees digital twins (computational and/or mathematical models) as a powerful tool for data-driven decision-making, simulation, and optimization across various domains, ultimately contributing to sustainable development and achieving the UN's SDGs.
The problem with the concept is twofold:
Firstly, as proven by Wolfram ("A New Kind Of Science,") and independently by Chaos Theory, and also independently by quantum mechanics, most phenomena—especially those at a large scale, such as a planetary climate—CANNOT be modeled accurately over any significant period of time, let alone indefinitely into the future. There can be several different reasons for that, such as the inability to capture the initial conditions of a system with sufficient precision (typically due to quantum uncertainty,) the chaotic behavior of the phenomenon due to feedback loops, or even the inherent non-computability of the behavior other than by actually observing the phenomenon itself, because only the real thing can be used to model its behavior (e.g, the "three body problem.") Per Wolfram, MOST sufficiently complex systems fall into that latter category, whether or not either of quantum uncertainty or mathematical chaos also are in play (although one or both typically would be.)
Secondly, the incentives to either a) create intentionally-dishonest models, or b) dishonestly misinterpret what the models show, is greatly amplified if they are to be used in order to make political decisions regarding resource allocation and/or regulations governing commerce and personal behavior. “Scientists” will produce computational models that behave in whatever way those who pay them desire.
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On the surface it sounds so innocuous - sensible even. But the points you make are very important, and in addition, it looks like a recipe for top-down global control.
Very insightful article! On the theme of "the map is not the territory", I recalled a story...
"...In that Empire, the Art of Cartography attained such Perfection that the map of a single Province occupied the entirety of a City, and the map of the Empire, the entirety of a Province. In time, those Unconscionable Maps no longer satisfied, and the Cartographers Guilds struck a Map of the Empire whose size was that of the Empire, and which coincided point for point with it."
--"On Exactitude in Science" by Jorge Luis Borges
But a 1-to-1 correspondence between map and reality isn't even necessary when digital terrain models are integrated with continuous live video feeds with 4k resolution facial recognition on every street corner. There wasn't enough resources for total surveillance in the past, but now AI could see your license plate number inching over the stop sign and issue an instant traffic ticket. Every human on the planet would break existing laws and have to pay fines or serve jail time, a death by 1000 micro crimes. Making future predictions isn't necessary for this level of enslavement, just AI supercomputers viewing your footage and assessing you in your "15 minute city", issuing violation notices like your neighborhood HOA.