Need a paper topic about control and influence

Turkey | Mythic Inconceivable!
 
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I've got a paper due tonight that I couldn't care less about, but I gotta do it anyway. It's short and easy, I just can't think of a topic. Something related to control and influence in the world. I've got to present on it so something relatively interesting. No big-hitters like complex politics.

Go!
Last Edit: November 24, 2014, 11:45:12 AM by E̲n̲ga̲ge̲d̲T̲u̲r̲k̲e̲y


 
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This is the way the world ends. Not with a bang but a whimper.
Religion controls and influences governments in many undeveloped countries, like the U.S.


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Turkey | Mythic Inconceivable!
 
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Religion controls and influences governments in many undeveloped countries, like the U.S.

Like I said, nothing hard-hitting. Something maybe related to the psychology of influence in society.


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Influence of video games on mass shootings?

That's not bad, though I'd expand it to influence of media in general, since I don't want to look like a massive beta and talk about video games.


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Control theory.


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Control theory.

Got any resources more reliable than the Wikipedia page?

At this point I'm thinking of talking about the nonexistence of randomness and how probability distributions are present in reality. I'm talking to non-technical majors.

Randomness, or the lack thereof, is a part of this class's philosophy, so it'll go pretty well.
Last Edit: November 24, 2014, 12:04:20 PM by E̲n̲ga̲ge̲d̲T̲u̲r̲k̲e̲y


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Control theory.

Got any resources more reliable than the Wikipedia page?
I was joking. Unless of course you'd like to do a paper on control and reaction management through physical feedback.


 
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God is dead


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Write about how jews control the federal reserve


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The paper so far. It's informal and needs a conclusion, but whatever. It's an easy-A class that will give me an A for anything I submit. Have at it.

Quote
Randomness is a state of disorder characterized by lack of predictability. In mathematics, randomness is used for various applications including statistical analysis to substitute for parts of a process that can’t be controlled for some reason, but typically because it’s outside the scope of the test. Another use of randomness is to demonstrate a lack of bias for any particular outcome, such as for the roll of a die. It’s also used in sociological applications for studying populations; in order to have scientifically reliable data, a sample has to be chosen randomly. This is done through some algorithm using ‘random variate generation’ in order to estimate a selection without any bias or pattern. So, it seems reasonable to believe that randomness does in fact exist in everyday situations and governs a large portion of our reality – how could it not, when it’s used so frequently? The truth is that randomness is either limited to extremely small interactions, or is completely nonexistent.
   First, it’s worth discussing the validity of random number generation and random – or stochastic – processes. If for all intents and purposes it’s possible to create a string of numbers with no discernable pattern, how can we not call it ‘true randomness’? And that’s really what this discussion comes down to: the almost-semantic debate of true randomness. The reason such modeling isn’t truly random is because at its foundation, the algorithms used to generate the string of numbers is predictable, if someone were able to deeply understand how it works. Unfortunately, ignorance doesn’t justify any conclusions. The same goes for any other classical example: if a machine were built to perfectly simulate a random dice roll, the designer would likely know how to predict the outcome. The inverse is also true; if someone could control the roll of a die, they could accurately throw the same number every time.
   However, it may not be easy to accept that knowing the mechanisms of a process will allow you to know its outcome; it could be extremely complex to learn, and so it might be said that because it’s so difficult to understand that it is functionally random. The problem that exists there is a statistical tool called ‘probability distributions’, which show that any supposedly random process will follow a pattern over time; a roll of a die may seem to randomly result in any of the six numbers, but over time it’s observable that each outcome has exactly the same probability of happening: one sixth. This is applied to complex systems across the world in innumerable applications, and is much simpler than trying to predict individual data points.
   It may seem obvious that no true randomness exists, and that all interactions happen according to the predictable patterns. This is firmly in line with Newton’s Third Law of Motion which states that every action has an equal and opposite reaction; in other words, everything is caused by something, and the two events are observable. But what if some reactions didn’t operate according to Newton’s Laws? Newton thought in terms of classical physics, which applies to just about everything that every human will ever do, but some aspects of reality don’t follow classical physics – at the quantum level, classical mechanics breaks down. Heisenberg’s Uncertainty Principle, in layman’s terms, is that certain quantum properties of particles, momentum and position, can’t be known simultaneously. This isn’t just a lack of understanding how particles work, this is actually crucial to the current model of quantum mechanics. Randomness is inherent and necessary according to what has been observed on a quantum level. Similarly, radioactive decay happens randomly (as it’s also on a quantum level), though it does conform to a probability distribution, which is how radioactivity can be mapped and predicted.
 

I'm going to remove this before I submit it in case it comes up with a plagiarism result for being on here verbatim.
Last Edit: November 24, 2014, 12:52:42 PM by E̲n̲ga̲ge̲d̲T̲u̲r̲k̲e̲y


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I didn't mean to sound like I was shoving you off. :-\
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