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As scientists and theorists study patterns, design, chaos, complexity, they often turn to nature for examples, and there are plenty of examples in nature, too. Zebra stripes, butterfly patterns, spider webs, tree leaves, fish scales, sea shells, brain waves, muscle structure, granite texture, spider webs , the cycles of the Earth, the waves of the ocean, the flow of the wind, clouds in the sky, rainbows, the solar system, the structure of a meteorite, and even DNA itself.

One pattern in nature that we often don’t discuss is erosion patterns, which we can best see from an airplane, a satellite photo, from a valley looking up a mountain, or from a mountaintop looking down. As recently as March, we see erosion patterns that suggest earlier water flows.

[http://www.astrobio.net/cgi-bin/h2p.cgi?sid=479&ext=.pdf]

We see such erosion patterns on Titan, which are certainly thought to be caused by liquid methane. These images have caused a stir in the scientific community and among space enthusiasts.

[http://www.guardian.co.uk/uk_news/story/0],…1395978,00.html

The landscape patterns are so similar to those on Earth with rivers, lakes, coastlines that one has to wonder if the erosion patterns are not known quantities that come from planned design. Although how can this be? In Stephen Wolfram’s “A New Kind of Science,” he describes how to start with simple math equations and then watch the patterns emerge. We know that in our complex and chaotic environments we see that the simplest components, like the atoms and molecules, that make up everything, are simple in structure and precision.

Predicting patterns is not as difficult as it seems if we start at the beginning and look ahead instead of looking at the now and trying to figure out the ‘how’. Is it possible to have almost the same erosion patterns in more than one place, planet or region? Many researchers believe that this is not only possible, but very likely a reality. They say no two fingerprints are the same, however we now know that’s not true, some are so similar that recognition software can’t tell them apart. In fact, people have been convicted of crimes that have similar fingerprints. We should be looking at all the erosion patterns on Earth and Mars, perhaps these regions share something in common?

Perhaps the electromagnetic signatures of the rocks or the resonance of ionic bonds and the acoustic pattern created by the wind are similar. Just like two fingerprints contain some kind of genetic similarities. Would studying erosion patterns help us study liquid flows, locate minerals for mining, oil for extraction, find areas of healthy ELF resonance for organic growth? Are the erosion patterns completely predictable to the point that we can estimate the origin or starting point of the pattern, the original equation, or the original set of components that started the process? For example, the initial resonance, the material and the starting points. Can we go back in time by computer modeling current patterns? Can we use these computer simulations to help us understand the surfaces of other planets, moons, and celestial bodies? Can we do this now with our advances in supercomputers?

Researchers are beginning to believe that the answers to all of these questions will probably be yes, and that we can know if we dare to ask the questions and work to find the answers. As we know from looking at ice core samples, tree trunk rings, and sediment layers, we can define eras of ice age cycles, solar cycles, Earth polar shifts, etc. Much of the computer modeling needed to track and retrace erosion for historical perspective and understanding of our planet and other worlds has been funded by animation simulations for military battlespace efforts. Commercial uses of such things have also achieved wonders using ERSI software for improving environmental situations, weather prediction and control, flood control efforts, oil exploration, film industry special effects, movie design, landscapes and future technologies of Artist Conception.

Experimentation, simulation modeling must continue in this area to ensure that we are accurately interpreting the data and properly defining the forces at work. We recently saw a runaway iceberg, hitting a tongue sticking out of the Ross Ice Shelf, all predicted a big event, to be seen from above by satellite. Could not see such an event and for good reason. Most of the iceberg was underwater and it would obviously collide first and it did collide on itself so the event did take place but underwater as the iceberg surface never touched anything, however the damage from the collision was severe and intense. below judging by the surrounding ice breakup. It’s interesting that predictive animation simulations were so quick to show us what was going to happen, but they never did. This is an example of bad modeling prediction that is beyond imagination when we actually had enough data to show exactly what had happened beforehand.

Right now we’ve seen climate intensification in the form of extreme weather in our hemisphere, we have a complete model of past hurricanes, and we’re extremely good at predicting hurricanes now. We also have full understanding of what will happen in the event of a direct hit on New Orleans and the 12-foot seawall. But are all our predictive models of simulations of the disappearance of New Orleans correct? Well, in fact, they are probably quite correct, as is our prediction of increasing ocean levels as the atmosphere warms. By combining this data with the accumulation of vegetation at the mouth of the Mississippi River, we see that the combination of all this data shows that New Orleans is not much to this world. If we look at the mouths of the larger rivers that meet the sea, we will see similarities with canyons and streams that meet lakes or connect with slow-flowing rivers.

Erosion patterns are everywhere. In the middle of the desert you can see small streams that become streams, dry rivers and dry lake beds that have been there for centuries. It seems possible that we can put an equation to this if we are willing to build actual erosion labs and take that data and the final effect to show patterns. These patterns will be similar to those in nature, and therefore formulas using current mathematics can be designed and tested. When trying to control or change nature, it is often a very small first event, changing things as events unfold and the pattern is set in motion. The one who creates the first event and puts it into the equation and moves through the action levers might be able to quantify and put pen to paper to predict the final event. Using the reverse engineering calculations of these methodologies, we can take the picture of current erosion to question the origin of the first event.

Once we can do this, we can see the past in the present pattern, and therefore we can see through time, revealing ancient mysteries to our mother Earth. By understanding this process here at home, we can use this data to predict what happened on all those worlds we seek to discover in humanity’s quest for the unknown to quench the thirst to boldly go where no man has gone before.

For those who observe the erosion, clouds, waves and patterns of nature, the simplicity of the complex designs should be quite obvious. We are in a unique place to not only create new events, but also to really know what will become of what we create. Thus predicting the future of our actions. This means that as we take control of our environment, we can, with slight modifications, create a better world that fits our genetic blueprint. By doing this, we can prevent catastrophic events, extend life, build safer cities, understand explored future worlds, and continue our abundant life experience.

Since erosion is an obvious pattern in nature, why would it be any different than any other pattern? Why wouldn’t it be controllable and predictable? We are fast approaching a time when we will be able to control our own DNA and destiny, through understanding what it all means and how it all works. Shouldn’t we use the study of erosion patterns to help explain what we see when our unmanned robotic probes send us glowing images of other worlds? Should we use these methodologies to tell us about previous events, first events and ancient cataclysmic events, which originally shaped everything we see and know? Is it fascinating that Stephen Wolfram sees so many patterns in his work and doesn’t identify erosion patterns as one of nature’s designs? Why wasn’t he looking here? He couldn’t prove his hypothesis with these erosion patterns? If so, why? And we’re busy looking for a simplistic formula in creating the first event where we couldn’t recognize evidence of patterns interacting with each other?

For example, erosion is a factor of plate tectonics to build mountains, weather patterns over many different cycles, so at first glance it may seem like no two erosion patterns on our landscape are the same, but are they? how can we be so sure they did? they do not come from an original equation set in motion, which we are currently observing as one more pattern of nature. I submit to you that these questions and the obvious patterns of erosion are not only worthy of scientific thought and debate, but that the inherent secrets that will be revealed will be worth their weight in research funding.

If you’ve had thoughts about erosion patterns or similar patterns in nature or about the photos our unmanned probes bring back across our solar system of landscapes of moons and planets, then you’re not alone. Think about it.

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