Long-Term Accurate Prediction Of A Chaotic System: Fill & Download for Free

Climate Alarmists are spreading fear, not facts. The human IDLH threshold for CO2 is 50,000 ppm according to the CDC. Current concentration is about 400 ppm. Even 5–6 times current concentration would not mean extinction of human life. Not even close. NIOSH Publications and ProductsCO2 levels in the past have been more than ten times higher than today, and both animal and plant life flourished. Current C02 levels are at the LOW end of the historic range. At no time during the past 600 Million years has CO2 correlated with temperature. There is no historical evidence to support the prediction that a 1.5 degree temperature increase will cause a runaway greenhouse effect and the extinction of life on Earth.Also, any REAL scientist will tell you that temperature is not climate, and correlation is not causation. Any REAL scientist will also admit that Science doesn’t actually know how climate works, has no accurate predictive model for climate and climate change, and has no idea how to stop climate change or reverse climate change.Even the IPCC itself has said “The climate system is a coupled non-linear chaotic system, and therefore the long-term prediction of future climate states is not possible.”. https://archive.ipcc.ch/ipccreports/tar/wg1/501.htm

Nobody know what the “tipping points” of the climate system are, because nobody knows what actually causes climate changes, and nobody can reliably and accurately predict future climate states. The notion that a single trace gas, essential for life, that makes up .0004 of the atmosphere and has only changed by .0001 in the past 150 years is the one factor that drives global climate change is, frankly, nonsense.Who says so? The UN IPCC itself!The climate system is a coupled non-linear chaotic system, and therefore the long-term prediction of future climate states is not possible.https://archive.ipcc.ch/ipccreports/tar/wg1/501.htmAs the IPCC clearly states, climate is composed of a number of very powerful, interlinked, nonlinear chaotic systems which Science does not understand, cannot fully explain, and cannot accurately predict.Climate Scientists have never been able to quantitatively explain the dynamics of climate change, or accurately predict future conditions, and has never demonstrated any capability whatsoever to control climate, stop climate change, or reverse climate changes that have already happened. They can’t even accurately predict the general weather more than a week or two ahead, ot predict the path of a hurricane more than a day or two ahead, and have never been able to change the track of a major storm at all. It would be nice if climate scientists could make it rain in Australia to put out the fires raging there right now, but they can’t even do that.Climate has been constantly changing on Earth for over 3.2 billion years, and the notion that humanity has the ability to control it or stop it or reverse it is colossal hubris.

You are partially dicing with semantics."Computer" as the word is commonly used implies: {input(s)} => {processed by algorithms} => {predictable outputs}The human brain, as presently understood, is a complex or chaotic system:Complex system that shows sensitivity to initial conditions, such as an economy, a stockmarket, or weather. In such systems any uncertainty (no matter how small) in the beginning will produce rapidly escalating and compoundingerrors in the prediction of the system's future behavior. To make an accurate prediction of long-term behavior of such systems, the initial conditions must be known in their entirety and to an infinite level of accuracy. In other words, it is impossible to predict the future behavior of any complex (chaotic) system.- What is chaotic system? definition and meaningPart of the chaotic nature is that (leaving aside glial cells) there are (estimates vary) some 100 billion neurons in each human brain; each neuron has up to 40,000 synaptic connections, yielding the possible number of simple connective states in the brain as 100,000,000,000^40,000.Furthermore, organic brains are not like electronic computers: they are analog, not digital. One critical distinction is simply "Granularity – for a continuously variable analog value to be represented in digital form there occur quantization error which is difference in actual analog value and digital representation and this property of digital communication is known as granularity." (a basic breakdown between analog and digital electronic machines can be found at: Analog vs Digital.)I emphasize the word machines because I am not a neurobiologist and couldn't even begin to calculate the number of types, quantities and interactions of neurochemicals in each of those 100,000,000,000^40,000 synaptic connections.- In short, past a certain level of complexity, "algorithms," as understood in the realm of electronic computers, are overwhelmed by the complexity present in complex/chaotic systems.