Implicit erosion of choice through peer pressure

In a joint effort, it is important to establish guidelines between parties so that mistakes don't reoccur. Ethical boundaries are initially formed based on correlated datasets and empirical evidence available at that time. Those boundaries can lead to a number of unfortunate misunderstandings when not re-assessed.

When peer pressure is used to force change in an individual, it erodes their agency and increases the chances of an autistic person masking. Eventually it could dove tail into an interpretation of supremacy. The mirror affect of it would be someone at best, having their free will eroded or at worst becoming a supremacist. Either case, both versions of the individual eventually becomes incapable of providing value back to society as a whole because they are unaware of how their emotions have been intentionally wrapped in order to push change into themselves.

It could also generate grievous misunderstandings which could erode trust between nuerotypes, races, or a miscellaneous-prejudice of your choosing.

What should you do when you find yourself unable to carry out your interests(free will) or unable to absolve yourself of anger(supremacy) towards something?

The first is obvious, at least it was for me. I imbued myself with servant mindset, as there is an elegance about being a servant. The second is not so obvious, because the negative emotions are harder to work through without attaching to someone or something else.. and thats what you have to do. Attach those emotions to something else and pursue a non-violent solution towards resolve. I attached my emotions to the words I used, when I realized I was pushed down by someone with misguided intentions.

Where do we go from here you might ask?

I pushed back, I let the other side know that their approach was sloppy and that it needs to be cleaned up.

Science is about enriching our lives and outliers such as myself are meant to revise our collective understanding to coalesce a better dataset. Let's make a better dataset, together.