BenefitsAll

Snowflakes

The Battle Between The "I Was Helped/Hurt By Obamacare" Snowflakes


Since the presidential election, Trump supporters and non-supporters have accused one another of being Snowflakes, or overly sensitive. However, recently the term Snowflake is used increasingly to describe Trump supporters. Countless articles in liberal and conservative media publications warn about the dangers of referring to all Trump supporters as racists, misogynists or uninformed. They claim that these negative characterizations are starting to backfire and result in Trump supporters clinging to him even more.

And many Trump voters admit that they are completely turned off by liberal attacks and hurtful characterizations. Not surprisingly, Trump non-supporters refuse to alter their depiction of Trump voters. They find their characterization of Trump voters accurate and their feelings not worth protecting given the potential harm a Trump Administration can cause. Add to this war of words the contentious issue of affordable health insurance and health care, and you get a mini battle between people that claim Obamacare helped them versus people who claim it hurt them. Both camps have its share of Snowflakes with the "Help" combatants referring to the "Hurt" combatants as selfish and heartless, and the "Hurt" section referring to the "Help" warriors as smug.

The "Hurt" group desperately wants to explain its objections to government-mandated health insurance. They don't like being forced to pay higher premiums than they otherwise would to subsidize health insurance for people who can't afford it. Some in this group don't want to subsidize anyone's insurance but most object to subsidizing people they characterize as able-bodied adults who made bad life decisions. A typical social media thread between the two groups has traces of the culture war happening between Republicans and Democrats.

(This is a real, abbreviated thread from a health care Facebook group. I purposefully exclude the name of the group and the contributors):
Continue Reading...

Comments