This might be my most significant blog yet! It is one of those blogs that unify almost every thing. It is the type of thing that drove people like Albert Einstein to look for some kind of unification principle that connected all of science. He was close as was Sir Issac Newton. I am not in the class of those guys, but I do have some ideas that are very worth reading. Look at my title and you might get an idea of what this blog is about. "Data Points".
I am an old person who has traveled more and been involved in more significant situations than most people. I also have a very good memory and a high IQ in the area of spacial reasoning. If you don't know what that is, then look it up. Over my many years I have collected billions of "data points". At the time I had no idea if any of my "data points" were significant, but I kept collecting them and now I can explore relationships within that billion "data points".
Have any of you ever heard of "scatter grams"? It is a plot of points in an X-Y graph that looks like a bunch of random dots. Rather than being a round circle, it can turn out to be oblong, not a straight line. What that graph shows is that there is some kind of relationship among the points. It may not be a strong relationship, but there is some kind of relationship among the points, but what is it? The next step is to try to "fit" a line to the data and see how close the relationship of the points are to your line. The most common way to do this is with a "least square" linear line fit. The degree that your line fits the data points is call "correlation". You can even go one level farther and see if the "data points" fit a curved line better than your straight line. You could keep this going to where your line equation intersected "all" the data points. It turns out that the order of the equation is one less than the number of points. Here is what this means. If you have two points, a first order equation can be found that intersects both of the points. An example would be Y = A + BX. If you had three points, then an equation of the form Y = A + BX + CX** would connect all the points.
The reason that I showed the above is that us humans also do much the same thing in our minds. When we have a lot of data points, some of the more intellectual people see relationships among the data points. Just because they do not see a "perfect fit" does not mean that there is not a relationship. This can be because the data points have a degree of error or that there are variables affecting the data points that the human is not aware of. The world is very complex and there are many forces that affect the data points. These affects can come and go without us humble humans noticing.
Us humans want to understand the world that we live in and look for reasons why things are the way they are and why they change. I think that we all know that if something changes that there must be a reason. Issac Newton formulated it in his equations that we still use today.
I think that we can all agree that with age a person gains "wisdom". You could also look at the older person as more experienced. Most of us value experience and defer to it in serious situations. Exactly what is this "experience"? It is a collection of "data points". Not all older people are equal. Some have more data points than others and there are others who have the special intellect to find relationships among the data points. If you have been following my blog, then it is clear that very young people who have few data points have a much smaller chance of correctly determining the relationship between data points than what an older person can. Historically, the opinions of older people was given greater weight than those of younger people. Now. I think that you can see why.
I have noticed that "most" liberals "tend" to think in terms of straight line relationships. Further, they expect "all" points to be "perfectly" on the line. Now, let's look at my last sentence. I used the term "most" because not "all" liberals think this way. Notice that I used "tend" because, again, it describes that my data point's shape only favors a single direction. As an older person, I need a way to share my interpretation of my data points even if they do not represent some kind of "perfect" picture.
Think about voting, for example. If the above is true and the objective of voting is to come up with the correct or best decision, it seem clear that adding more younger voters is a contradiction of the basic objective. Going to college is a normal way to gain more data points, but there are even more data points to be gained out side of college and over a life time. I contend that data points gained in college are no more significant than those gained during an observant life.
I challenge all of you to think about the data points that you have collected and to discuss them with others without the fear that they might not "all" align with a simple minded straight line. If your data points do not reveal a "perfect" relationship or model, they may still contain significant knowledge. Remember that there is "almost" nothing in the real world that is "perfect" and because of that fact we all need to learn to deal with conclusions from our data points that are also not perfect either. Only stupid people ignore the store house of information that is contained in their personal data points. We all paid a lot for those data points so we should use them when we can without fear!
PS--Some time ago, I was talking to a of group of my friends and commented to them that Police cars normally have old fashioned small hubcaps. All said that they had never noticed. I told them that I noticed the different type hubcaps and that "most" seemed to be on Police cars. My friends had two problems. The first was that they were not very observant and the other was that they did not have a special ability to "connect the dots". I would expect that they did not have a large set of "data points" either, nor an ability to organize them as I have pointed out above. Think about yourself and see what you come up with?
PS--Collecting data points is very critical. As I have collected data points, I classify them into at least three buckets. Those that have clear proof, those that seem logical and those that appear to not be correct. Over time as I collect more data points or facts, I shift my data points from bucket to bucket as I learn more. Nothing makes the process fail faster than to "mix" bad data points with good data points. Look at the Catholic Church when they claimed that the Sun rotated around the earth. As long as people felt that data point was "correct" it prevented them from correctly connecting many future dots.
PS--Life and the world are very complex and even though we might have a lot of data points, there is not finite mathematical model that can correctly connect all of them. For that reason we have to resort to some kind of "search" algorithm. Exactly how does that work in a person's brain? when you did and think about things, what your brain is doing is "searching" for a model that connects as many of the data point as one can. It can be like the picture where the "light bulb lights up". You have just found figured out some new thing. Interesting isn't it?
I am an old person who has traveled more and been involved in more significant situations than most people. I also have a very good memory and a high IQ in the area of spacial reasoning. If you don't know what that is, then look it up. Over my many years I have collected billions of "data points". At the time I had no idea if any of my "data points" were significant, but I kept collecting them and now I can explore relationships within that billion "data points".
Have any of you ever heard of "scatter grams"? It is a plot of points in an X-Y graph that looks like a bunch of random dots. Rather than being a round circle, it can turn out to be oblong, not a straight line. What that graph shows is that there is some kind of relationship among the points. It may not be a strong relationship, but there is some kind of relationship among the points, but what is it? The next step is to try to "fit" a line to the data and see how close the relationship of the points are to your line. The most common way to do this is with a "least square" linear line fit. The degree that your line fits the data points is call "correlation". You can even go one level farther and see if the "data points" fit a curved line better than your straight line. You could keep this going to where your line equation intersected "all" the data points. It turns out that the order of the equation is one less than the number of points. Here is what this means. If you have two points, a first order equation can be found that intersects both of the points. An example would be Y = A + BX. If you had three points, then an equation of the form Y = A + BX + CX** would connect all the points.
The reason that I showed the above is that us humans also do much the same thing in our minds. When we have a lot of data points, some of the more intellectual people see relationships among the data points. Just because they do not see a "perfect fit" does not mean that there is not a relationship. This can be because the data points have a degree of error or that there are variables affecting the data points that the human is not aware of. The world is very complex and there are many forces that affect the data points. These affects can come and go without us humble humans noticing.
Us humans want to understand the world that we live in and look for reasons why things are the way they are and why they change. I think that we all know that if something changes that there must be a reason. Issac Newton formulated it in his equations that we still use today.
I think that we can all agree that with age a person gains "wisdom". You could also look at the older person as more experienced. Most of us value experience and defer to it in serious situations. Exactly what is this "experience"? It is a collection of "data points". Not all older people are equal. Some have more data points than others and there are others who have the special intellect to find relationships among the data points. If you have been following my blog, then it is clear that very young people who have few data points have a much smaller chance of correctly determining the relationship between data points than what an older person can. Historically, the opinions of older people was given greater weight than those of younger people. Now. I think that you can see why.
I have noticed that "most" liberals "tend" to think in terms of straight line relationships. Further, they expect "all" points to be "perfectly" on the line. Now, let's look at my last sentence. I used the term "most" because not "all" liberals think this way. Notice that I used "tend" because, again, it describes that my data point's shape only favors a single direction. As an older person, I need a way to share my interpretation of my data points even if they do not represent some kind of "perfect" picture.
Think about voting, for example. If the above is true and the objective of voting is to come up with the correct or best decision, it seem clear that adding more younger voters is a contradiction of the basic objective. Going to college is a normal way to gain more data points, but there are even more data points to be gained out side of college and over a life time. I contend that data points gained in college are no more significant than those gained during an observant life.
I challenge all of you to think about the data points that you have collected and to discuss them with others without the fear that they might not "all" align with a simple minded straight line. If your data points do not reveal a "perfect" relationship or model, they may still contain significant knowledge. Remember that there is "almost" nothing in the real world that is "perfect" and because of that fact we all need to learn to deal with conclusions from our data points that are also not perfect either. Only stupid people ignore the store house of information that is contained in their personal data points. We all paid a lot for those data points so we should use them when we can without fear!
PS--Some time ago, I was talking to a of group of my friends and commented to them that Police cars normally have old fashioned small hubcaps. All said that they had never noticed. I told them that I noticed the different type hubcaps and that "most" seemed to be on Police cars. My friends had two problems. The first was that they were not very observant and the other was that they did not have a special ability to "connect the dots". I would expect that they did not have a large set of "data points" either, nor an ability to organize them as I have pointed out above. Think about yourself and see what you come up with?
PS--Collecting data points is very critical. As I have collected data points, I classify them into at least three buckets. Those that have clear proof, those that seem logical and those that appear to not be correct. Over time as I collect more data points or facts, I shift my data points from bucket to bucket as I learn more. Nothing makes the process fail faster than to "mix" bad data points with good data points. Look at the Catholic Church when they claimed that the Sun rotated around the earth. As long as people felt that data point was "correct" it prevented them from correctly connecting many future dots.
PS--Life and the world are very complex and even though we might have a lot of data points, there is not finite mathematical model that can correctly connect all of them. For that reason we have to resort to some kind of "search" algorithm. Exactly how does that work in a person's brain? when you did and think about things, what your brain is doing is "searching" for a model that connects as many of the data point as one can. It can be like the picture where the "light bulb lights up". You have just found figured out some new thing. Interesting isn't it?