"Turning ugly spots into clean spots."
A lot of professional and social groups like the Alliance to Solve Parental Alienation have recently sprung-up and are trying to counter the withering powers of labels. A Facebook group led by Dr. Childress provides a platform for discussion of the various solution pathways for the pathology of "parental alienation" (PA). While Hannah Scherlacher with Fox News calls labels just plain bullying (Scherlacher, 2017). But with the dogmas of labels in mind, how can we ever fulfill our dreams in life without getting caught in the drain of labeling making failure schemes? In this blog, we'll discuss using data to turn ugly spots into clean spots for a healthier future.
One way that science is getting involved to solve parental alienation and other forms of alienation is by getting a grip on nuclear families that are in tact and nuclear families that are disconnected. You may be saying, what's that have to do with alienation mitigation? Well, studying families that are disconnected like from divorce exposes some of the most severe alienation syndromes that there are. And the interesting thing about comparing those disconnected nuclear with nuclear families that are in tact is that it reveals some of the secrets to getting out of and beyond those stagnant dogmas.
The vulnerabilities that labels cause are one thing. But the pains that those disconnections can cause are a completely other discomfort. For example, how bad does one negative label compared to a not so negative label make us feel? And how much worse does a 12 month separation from a loved one compared to a one day separation make us feel? These are practical data points and data sets.
Data is our new friend for alienation mitigation. For example,
- Can we count the healthy labels?
- Can we analyze the different intensities of those healthy labels?
- Can we count any unhealthy labels?
- Can we analyze the impacts of those unhealthy labels?
- Can we count the number of nuclear family connections?
- Can we rate the effects of nuclear family connections as mild, moderate & strong? Average the beneficial impact?
- Can we count the number of nuclear family disconnections?
- Can we rate the effects of nuclear family disconnections as mild, moderate & severe? Average the adverse impact?
- Can we measure the duration of connections & disconnections?
It's true, these data points and data sets are unique for everyone. But that's how we're developing a scientific database to breathe life into family law & policy. That's how we can childproof law, contracts and policy and provide data to authors of such law, contracts and policy so that their mechanisms do not unintentionally harm the life processes of vulnerable children.
The point with data is that there are formulas and charts we can build for healthy alienation mitigation and for unhealthy alienation aggravation. We can can learn what helps and learns what makes things worse. We can also learn what factors, circumstances and situations mitigate alienation, decrease alienation and demotes alienation. Likewise, we can learn what factors, circumstances and situation's aggravate alienation, increase alienation and promotes alienation.
Sometimes people paint other people ugly. Just for fun or just to avoid them. Other times, people can't see past their own arrogance or their own pride to be able to tell how their thoughts and actions effect other people. And that's okay. None of us can legitimately consider everyone else in the world. We're all guilty to compounding these ugly spots to some degree or another. But thank we're no longer in the dark ages and can share the lights of clarity to more platforms and more degrees than ever before. Today we have the technology for practical alienation mitigation.
The severity of physical illnesses are defined as the extent of organ system derangement or physiologic decompensation for a patient. It gives a medical classification into minor, moderate, major, and extreme (Horn, Horn & Sharkey, 1984). Psychological disorders are similar. It gives mild, serious and severe . Whereas psychological orders, or healthful categories do not yet exist. phases of the disease. Category 1, for example...all the up to inconsolable. People who do this to others often can't see past their disease. (Like some one who
A Healthier Future
The fact is that we all grew up in either one of two categories. Either with a nuclear family that was in tact for any one of a variety of reasons. Or else with a nuclear family that was disconnected for any one of a variety of reasons. Those with a nuclear family in tact have the most probable information to getting the rest of us beyond stigma and derogatory labels. While those of us with a nuclear family disconnected have the information to perpetuate derogatory labels.
Children are the most vulnerable in both of these categories. But especially in the disconnected category. A category that has been haunted by blind spots. No one can see what goes on there. That's where they often have no choice but to have their situational vulnerability used against them. Like a bully making his victim smack his own face with his own hand. These children may look for any source relief when they are in severe enough pain. Which may very well lead to mass shootings, intoxication abuse, suicidal actions, incarcerations, etc..
But now with data and knowing at what pain level children are more susceptible to lashing out or checking out, then we can intervene and agents can help clean any blind spots that they are dealing. Reducing their troubling pain with positive words, constructive forms, sustainable files, and a healthy system. Turning an ugly spot in their minds into a clean spot. Jesus says in John 15:3 that, "Now ye are clean through the word which I have spoken unto you." Science can also monitor the probability that children will either fall into an alienation disease trap and the probability that they'll survive such traps. Eventually documenting prevention and a healthier future for all.
Childress, D. Alliance to Solve Parental Alienation. Retrieved from https://www.facebook.com/groups/alliancetosolveparentalalienation/
Horn, S. D., Horn, R. A., & Sharkey, P. D. (1984). The Severity of Illness Index as a severity adjustment to diagnosis-related groups. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195109/
Scherlacher, H. (2017, September 29). Enough with the hate labels. Why I'm standing up to the Southern Poverty Law Center. Retrieved from https://www.foxnews.com/opinion/enough-with-the-hate-labels-why-im-standing-up-to-the-southern-poverty-law-center?fbclid=IwAR2I-Gk95o4Ryp6PcY3gg2MpGe8-pEHwNZAUqurFZdpka-XmNvevTHKsUGk
Tsharp. Severe Mental Illness: Behavioral Health Evolution. Retrieved from http://www.bhevolution.org/public/severe_mental_illness.page