ism #14 (in a fun Orwellian way; or Orson Welles, for that matter :) (January 10, 2008)
A culture of onlookers has invaded the planet. They are wreaking havoc on the concept of
free society using democracy as a way to transplant their need for power into the culture.
The onlookers are imposing their will by protecting us against ourselves using societal
interests as the means by which they gain power. Let’s be very clear with ourselves as we
come to the defense of maintaining personal freedoms that enable us to just be as we
please. Democracy is not the same as being free, just as capitalism is not the same as
democracy.
The culture of onlookers knows very little about the broad scope of life. They have expertise
in their specialization, and “see” how others are hurt living as they choose. The aliens want
mandates for their perceptions about corridors of life on which there depth of knowledge is
very simple. They want to protect people who live in those corridors from the dangers that
exist, and they draw conclusions from their statistical bias that they observe to be true.
(c) kenneth martin
A culture of onlookers has invaded the planet. They are wreaking havoc on the concept of
free society using democracy as a way to transplant their need for power into the culture.
The onlookers are imposing their will by protecting us against ourselves using societal
interests as the means by which they gain power. Let’s be very clear with ourselves as we
come to the defense of maintaining personal freedoms that enable us to just be as we
please. Democracy is not the same as being free, just as capitalism is not the same as
democracy.
The culture of onlookers knows very little about the broad scope of life. They have expertise
in their specialization, and “see” how others are hurt living as they choose. The aliens want
mandates for their perceptions about corridors of life on which there depth of knowledge is
very simple. They want to protect people who live in those corridors from the dangers that
exist, and they draw conclusions from their statistical bias that they observe to be true.
(c) kenneth martin
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