What We Have Here Is A Failure To Communicate

The results of this past election proved once again that the Democrats had a golden opportunity to capitalize on the failings of the Trump Presidency but, fell short of a nation wide mandate. A mandate to seize the gauntlet of the progressive movement that Senator Sanders through down a little over four years ago. The opportunities were there from the very beginning even before this pandemic struck. In their failing to educate the public of the consequences of continued Congressional gridlock, conservatism, and what National Economic Reform’s Ten Articles of Confederation would do led to the results that are playing out today.. More Congressional gridlock, more conservatism and more suffering of millions of Americans are the direct consequences of the Democrats failure to communicate and educate the public. Educate the public that a progressive agenda is necessary to pull the United States out of this Pandemic, and restore this nations health and vitality.

It was the DNC’s intent in this election to only focus on the Trump Administration. They failed to grasp the urgency of the times. They also failed to communicate with the public about the dire conditions millions have been and still are facing even before the Pandemic. The billions of dollars funneled into campaign coffers should have been used to educate the voting public that creating a unified coalition would bring sweeping reforms that are so desperately needed. The reality of what transpired in a year and a half of political campaigning those billions of dollars only created more animosity and division polarizing one extreme over another.

One can remember back in 1992 Ross Perot used his own funds to go on national TV to educate the public on the dire ramifications of not addressing our national debt. That same approach should have been used during this election cycle. By using the medium of television to communicate and educate the public is the most effective way in communicating and educating the public. Had the Biden campaign and the DNC used their resources in this way the results we ae seeing today would have not created the potential for more gridlock in our government. The opportunity was there to educate the public of safety protocols during the siege of this pandemic and how National Economic Reform’s Ten Articles of Confederation provides the necessary progressive reforms that will propel the United States out of the abyss of debt and restore our economy. Restoring our economy so that every American will have the means and the availability of financial and economic security.

The failure of the Democratic party since 2016 has been recruiting a Presidential Candidate who many felt was questionable and more conservative signals that the results of today has not met with the desired results the Democratic party wanted. Then again? By not fully communicating and not educating the public on the merits of a unified progressive platform has left the United States transfixed in our greatest divides since the Civil War. This writers support of Senator Bernie Sanders is well documented. Since 2015 he has laid the groundwork for progressive reforms. He also has the foundations on which these reforms can deliver the goods as they say. But, what did the DNC do, they purposely went out of their way to engineer a candidate who was more in tune with the status-quo of the DNC. They failed to communicate to the public in educating all of us on the ways our lives would be better served with a progressive agenda that was the benchmark of Senators Sanders Presidential campaign and his Our Revolution movement. And this is way there is still really no progress in creating a less toxic environment in Washington and around the country.

Shoe Repairs And Several Other Things When I Was 7

Shoe Repairs And Several Other Things When I Was 7
My Dad repaired most of our shoes believe it or not, I can hardly believe it myself now. With 7 pairs of shoes always needing repairs I think he was quite clever to learn how to “Keep us in shoe Leather” to coin a phrase!

He bought several different sizes of cast iron cobbler’s “lasts”. Last, the old English “Laest” meaning footprint. Lasts were holding devices shaped like a human foot. I have no idea where he would have bought the shoe leather. Only that it was a beautiful creamy, shiny colour and the smell was lovely.

But I do remember our shoes turned upside down on and fitted into these lasts, my Dad cutting the leather around the shape of the shoe, and then hammering nails, into the leather shape. Sometimes we’d feel one or 2 of those nails poking through the insides of our shoes, but our dad always fixed it.

Hiking and Swimming Galas
Dad was a very outdoorsy type, unlike my mother, who was probably too busy indoors. She also enjoyed the peace and quiet when he took us off for the day!

Anyway, he often took us hiking in the mountains where we’d have a picnic of sandwiches and flasks of tea. And more often than not we went by steam train.

We loved poking our heads out of the window until our eyes hurt like mad from a blast of soot blowing back from the engine. But sore, bloodshot eyes never dampened our enthusiasm.

Dad was an avid swimmer and water polo player, and he used to take us to swimming galas, as they were called back then. He often took part in these galas. And again we always travelled by steam train.

Rowing Over To Ireland’s Eye
That’s what we did back then, we had to go by rowboat, the only way to get to Ireland’s eye, which is 15 minutes from mainland Howth. From there we could see Malahide, Lambay Island and Howth Head of course. These days you can take a Round Trip Cruise on a small cruise ship!

But we thoroughly enjoyed rowing and once there we couldn’t wait to climb the rocks, and have a swim. We picnicked and watched the friendly seals doing their thing and showing off.

Not to mention all kinds of birdlife including the Puffin.The Martello Tower was also interesting but a bit dangerous to attempt entering. I’m getting lost in the past as I write, and have to drag myself back to the present.

Fun Outings with The camera Club
Dad was also a very keen amateur photographer, and was a member of a camera Club. There were many Sunday photography outings and along with us came other kids of the members of the club.

And we always had great fun while the adults busied themselves taking photos of everything and anything, it seemed to us. Dad was so serious about his photography that he set up a dark room where he developed and printed his photographs.

All black and white at the time. He and his camera club entered many of their favourites in exhibitions throughout Europe. I’m quite proud to say that many cups and medals were won by Dad. They have been shared amongst all his grandchildren which I find quite special.

He liked taking portraits of us kids too, mostly when we were in a state of untidiness, usually during play. Dad always preferred the natural look of messy hair and clothes in the photos of his children.

Social Structure And Network (A Mathematical Model For Social Behaviour)

Analogy and metaphor are often used by social scientists to explain a social phenomenon because certain social concepts are otherwise very difficult to comprehend. For example, a physical structure like ‘building’ or a biological structure like ‘organism’ is compared to define the concept ‘social structure’. Actually, social structure is not a physical structure. An abstract concept which can’t be seen is explained in a simplified way by using an analogy which can be seen easily by everyone. Physical scientists use a model to test the predictions. If the predictions are correct when the model is tested every time then the model constructed is perfect. Otherwise, the model is suitably modified and then the predictions are tested again. This process is continued until the model becomes perfect. Do we have a grand model of social structure that can be used to test social predictions? In this article, an attempt is made to understand how far network theory is useful in explaining social structure and whether social predictions can be made using the network.Radcliffe-Brown was one of the earliest to recognise that the analysis of social structure would ultimately take a mathematical form. Radcliffe-Brown defines social structure as a ‘set of actually existing relations at a given moment of time, which link together certain human beings’. According to Oxford dictionary, ‘relations’ means the way in which two persons, groups, or countries behave towards each other or deal with each other. The phrase, ‘link together certain human beings’ can be compared with a ‘net work’ of connections.Network is defined as a closely connected group of people who exchange information. Each point (person or agent) in the network is called a ‘node’ and the link between two nodes is connected by a line called an ‘edge’. When two nodes have a direct social relation then they are connected with an edge. So when a node is connected with all possible nodes with which the node has social relations, it produces a graph. The resulting graph is a social network. The number of edges in a network is given by a formula nc2, where ‘n’ is the number of nodes. For example, if there are 3 people in a party then the number of handshakes will be 3. If there are 4 people then the number of handshakes will be 6. If there are 5 people then it will be 10. If there are 10 people then the number of handshakes will be 45. If there are 1000 people then the number of handshakes will be 499,500. When the number of people has increased 100 folds from 10 to 1000, the number of handshakes has increased 10,000 folds. So the number of relationships increases significantly as ‘n’ increases. The network theory was developed by the Hungarian mathematicians, Paul Erdos and Alfred Renyi, in the mid twentieth-century. Networks of nodes that can be in a state of 0 or 1 are called Boolean networks. It was invented by the mathematician George Boole. In Boolean networks, the 0 or 1 state of the nodes is determined by a set of rules.If two nodes are connected then the network of the two nodes assumes four states (00, 01, 10, and 11). The number of states of network grows exponentially as the number of nodes increases which is obtained by a formula 2n, where ‘n’ is the number of nodes. When n is greater than 100, it is quite difficult to explore all the possible states of the network even for the world’s fastest computer. In a Boolean network we can fix the number of states as 0 and 1. In a Boolean network, if there are three nodes A, B, and C which are connected directly by edges then the state of C can be determined by fixing the states of A and B. It means the state of C depends upon the states of A and B in some combination. Further it implies that if we know the state of C then we will know the combinational behaviour of A and B. But in a social network of persons, we do not know how a person’s behaviour is deterministic. Further, in a Boolean network, the behaviour of the nodes can be studied in controlled experiments as nodes here are objects. But in a social network, nodes which are individual persons can’t be treated as objects. In a social network how do we define the states of a person? How many states does a person have? What is the nature of a state? If the expected behaviour of a person is reduced to two states like ‘yes’ or ‘no’, then the number of states of a network will be 2n. Out of this, only one state will show up at a given moment of time. How do we predict that one particular state?Family is a micro network within the network. The family members are closely connected with each other. Most of the members are also connected to other networks external to the family. Interactions take place within the family among the members who also have interactions outside the family. So there are several edges proceed from one node of a family towards nodes within the family and nodes outside the family. The edges within a family show intimate relationship, whereas the edges connecting nodes outside the family do not necessarily show intimate relationship. This intimate relationship is a very important assumption that we have to consider so as to reduce the number of states of the social network. For example, the likelihood of a family member to conform to the family norms will be higher. Similarly, the likelihood of a person to side with a close friend will be higher. Also, the likelihood of a member of a particular group to conform to group norms will be higher. These assumptions are necessary to measure the probability of how the whole network behaves in a certain way.Interaction takes place along the nodes. The connection of one node to the other is either direct or indirect. For example, a person’s friend is connected to the person directly; the person’s friend’s friend is connected to the person indirectly, separated by one friend or technically by one degree. Research (Stanley Milgram, 1967) shows that every person in the world is separated only by six degrees to any other person. This implies that every person is connected directly or indirectly with other persons in the network except for an isolated community whose members do not have any contact with outside world. The six degrees of separation is only an approximation. For example, if you know the targeted person then the degrees of separation is zero. If your friend knows the targeted person then the degrees of separation is one and so on. Milgram’s conclusion was if you have selected a person to be targeted at random, then the maximum degrees of separation would have been six. However, the number of degrees of separation depends upon the number of critical nodes in the network in question. We will discuss about critical nodes later. So, connectivity is more or less a social reality. The question is whether this connectivity can be used as a tool to study social phenomena? If the answer is affirmative, then where can we apply this tool?If we analyse social structure in terms of a network system, then it may be useful to understand the nature of ‘dynamism’. The state of a system at the current moment is a function of the state of the system at the previous moment and some change between the two moments. Therefore, ‘a set of actually existing relations at a given moment’ depends upon the actually existed relations at the previous moment. It implies the importance of time interval, whatever the interval may be. That means if we want to know why a particular type of social structure prevails over a society at a given point in time, then we should necessarily bring ‘historical perspective’ to the study. Change is an important ingredient of dynamic system. A change at the micro level sometimes doesn’t affect the system. But, in other occasions the system becomes chaotic. It depends upon the nature of change in time and space. What is to be noted here is, a person’s behaviour is shaped by the person’s past experiences and the present situation.Moreover, a person in a social network is connected to different smaller networks which are dispersed widely. After all, a social network is networks within networks. But we should note that the system behaves differently with respect to a particular behaviour of different persons; it depends upon who the person is and how the person is placed in the hierarchy of the network. The network landscape is not even; it contains persons with different status and position. A person moves vertically and horizontally as well as deletes and adds connections. This brings change frequently at the micro level of the network. A person who is in power can easily influence others to follow an idea which need not be correct and a person who is not in power may not be able to influence others though the idea may be correct and good for the society. An idea doesn’t arise in a vacuum; it comes from the mind of a person. Even if an idea is correct, sometimes our society takes a lot of time to accept it. For example, it took a lot of time for our people to accept the fact that the earth is revolving around the sun and not the other way.In a social network, (1) each node is unique as two individuals can’t be treated as two similar objects; (2) a node may have a large number of edges connected to it directly or indirectly though it may not influence the behaviour of other nodes; (3) a node may not have a large number of edges connected to it directly or indirectly, yet it may influence the behaviour of other nodes in its network; (4) a node may have both larger connectivity and the power of influence over other nodes. So it is necessary that each node is to be studied and graded according to its connectivity and power of influence. Once this is done, we will be able to predict, to some extent, how a particular network would behave. A critical node is a node that has a larger connectivity as well as the power of influence. Why people took a lot of time to accept that the earth is revolving around the sun and not the other way: It was because the critical nodes might not have been immediately ready to accept the fact for certain reasons; secondly, each node is required to be connected with at least one critical node in order to get influenced quickly; finally, a node was in confusion because it might have been connected to two critical nodes which had opposite views.Though network is a good analogy to explain the concept of social structure, it has certain limitations: (1) The states of a network increases exponentially as the number of nodes increases; (2) The number of states of each node and its dependency on other nodes can’t be fixed as it can be done in Boolean network; (3) The number of edges (social relationships) increases as the number of nodes increases by a formula nc2; (4) Edges do not have uniform relationship; (5) Each node is unique and continues to change; (6) Information of opposing values continues to flow in the edges on both directions.Though the number of relationships increases significantly as the number of nodes increases in a social network, it does not increase the complexity of the network. Society has certain norms. People are expected to follow these norms. These norms regulate the behaviour of people. Social regulations tend to reduce the noise in the network.Though the behaviour of a node in the social network is difficult to determine, we can measure it by applying the theory of probability. For example, a family may hold a particular value. As the family is a closely knit group, all the members are expected to hold the same value. If we attribute a colour to this particular value, then the nodes of the family network will have the same colour and will look distinct. When the information pertaining to this value flows out from the family network to other networks through the edges, the information will have this colour. Therefore, the other nodes which receive and value this information will be influenced by this colour. Similarly, the nodes of a family will also be influenced by other colours as different information flow into the family network. The colour of a node depends upon how strong the node holds a particular value. Suppose, a certain node is surrounded by several nodes of a distinct colour, then the probability that this particular node will have a strong influence of that particular colour is higher. This is what happens when a person joins a group; the person will be strongly influenced by the values of that group. And when this person interacts with other nodes, those group values are transmitted. Therefore, if we know (a) the network of a particular node, (b) the colour of other nodes in the network, and (c) the colours of the critical nodes in the network, then we will be able to determine the probable behaviour of the particular node by giving weighted measure to each node of the network according to its location, distance, and colour. Though the nodes in a social network are not objects, the nodes can be studied objectively in this manner with a probabilistic determination.Suppose a node is a drug addict and living in the neighbourhood of other nodes who are drug users and sellers, then we have reasons to believe that the node’s addiction is due to its location and easy availability. But we can’t attribute the same reason to a node’s addiction to drugs if the node doesn’t live in the neighbourhood of drug users and sellers. The circumstances under which the two nodes have got addicted to drugs would be different. There may be many causes for a node to become a drug addict. However, network analysis with probabilistic determination will be useful to find out the significant cause. In the former case, the node should be treated leniently because the probability to become a drug addict is higher due to its location and easy availability. The node is prone to be a victim of circumstances. The circumstances could be due to retreatism, a concept developed by the sociologist Robert Merton (1968).According to Merton, retreatism is a response to inability to succeed; it is the rejection of both cultural goals and means, so that, in effect, one drops out. The sale of illegal drugs itself is another kind of deviant behaviour which Merton defined as innovation. Innovation involves accepting the cultural goals but rejecting conventional means. This excessive deviance results from particular social arrangements. Whereas in the latter case, the node’s probability to get addicted to drugs is lower and the circumstances are not obvious. It could be a personal choice or the drug sellers’ spread to new locations. If it was a personal choice, then in addition to social arrangements, biological and psychological factors would also be considered to find the causes. In this case, the node’s deviant behaviour needs a different treatment.The above example illustrates how a social phenomenon can be studied using a network analysis with probabilistic determination. The probability of a node’s behaviour will guide us to make social predictions such as how a particular neighbourhood will behave in a certain situation at a given moment of time. One problem which would arise in this model is how the nodes are coloured. Suitable research method is to be employed to arrive at the probable nature of a node. The probable nature of a node depends upon the probable nature of other nodes in the network. The researcher should proceed from the established and known nature of certain nodes. For example if a group’s values are overtly known to everyone then the group will be coloured accordingly. However, the researcher should note that if the nodes are wrongly coloured, the measures will be wrong and so our predictions.Another problem is the dynamic nature of the system. The behaviour of a node is constantly changing. However, the change in a particular node does not bring about a change in the system immediately in most of the cases. The change in the system is felt only after reaching a tipping point. Social change does not take place every second. After all, a period of 1,000 years is just a blink of an eye in the biological evolutionary time scale. Hence, social predictions can be made at a given moment of time. A third problem is, there can be individual differences within a family or group. This fact is to be considered in the research method before colouring a node.To sum up, we are living in this information society with lots of complex problems. This is not surprising because it is natural and an outcome of evolutionary process. Many problems do not have a single cause. Taking a decision looking at one cause of a complex problem will lead us to face another problem in different form. We will have to look at all causes simultaneously to see how the riddle unfolds itself. It implies there are many solutions for a complex problem. Probabilistic determination might give us the best possible solution.
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