It doesn’t take much to see that mainstream media is loaded with different messages and philosophies. The only thing one really needs is to be aware that they are there, and to know what some of them are. Afterwards, it’s as simple as recognizing the messages when you see them. Most often the are very subtle and disguised inside of an issue. That is, the message is an underlying principle. Then there are other messages that are blatant, in your face, screaming cries to rally you to action.
The following is a short clip from a television show where a very distorted and anti-human philosophy is presented. It takes advantage of a sad story to evoke an emotional response. This is a well known propaganda tactic – to make emotional appeals and to associate emotions rather than logic. The fact is that it works very well and has been used successfully for decades.
Here’s the transcript of the clip:
I used to coil razorwire back home.
We had wolves that would, uh, come down out of the forest and try to eat our sheep.
My dad said we had to keep them out, but, every month or so I would come out and I…pfff…
They would get tangled in the wires sometimes.
They’d chew their own paws off.
That’s, uh, that’s really when I got it. You know?
It isn’t their fault, right?
They’re just being who they are.
We’re the problem.
We’re the ones that want everything to be human.
Now we’ve covered the whole damn world in razorwire, so where are… where’re the animals supposed to go?
But today, you came up with a better way to help them…
to get them back to a time with no humans in it.
The message is pretty simple:
- Humans are a problem.
- The world is better off without humans.
It’s a pretty sick, self-loathing message. One has to wonder what kind of twisted logic leads to this sort of message.
However, it is far from uncommon. The same message can be found in the media on a daily basis. If you would like to try and find some, start reading just about any Environment column in any newspaper or any online news website. It shouldn’t take you long to find a few examples.
For another quick example of predictive messages in media, see here.