Posted: Mon Mar 30, 2009 4:51 pm
we are holograms.
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dr ddd wrote:i'm a sheMagma wrote: I'm going to stop stealing dr ddd's thunder by posting my Young Telegraph versions of his posts 30 seconds before he finishes his now!![]()
but i guess that depends on your reality
Parson wrote:http://www.youtube.com/watch?v=aYyFmllA29M
thisOv3rdos3 wrote: Or not....
tha both of ya.metalboxproducts wrote:Parson wrote:http://www.youtube.com/watch?v=aYyFmllA29M
Nice to see you around here. I've been kinda missing you.
we are projectors. what we experience is the holograms we've created.somejerk wrote:we are holograms.
someone quote this and put "this!" underneathParson wrote:we are projectors. what we experience is the holograms we've created.somejerk wrote:we are holograms.
nice advocacy for dualism from some holists!
dr ddd wrote:ps: magma: yes they are, but they've gone all supersymmetric(i've always loved the fact that someone actually named some particles "sleptons")
that's what i'm saying, observation as we conceive it today - an intellectual activity confined in our brain - is hardly suspect for changing particles behaviour.dr ddd wrote: if a particle has an interacting force that can interact with another...... the observer particle is thereby having an affect on the observed particle - but only via the carrier ("observation" style) force. Are gravity and electromagnetism just intellectual concepts?...
another logical mistake people in those docs do a lot: confusing the means and the aimsdr ddd wrote:We also use electricity to observe the particles. The fact that, at the same time, it is also affecting the particle, affects our observation.
this is like throwing a few buckets of sand in to fill holes in the superspeed highway pavement.dr ddd wrote:along this line - actually my argument earlier was very much against the concept of a binary true/ false model... the very nature of uncertainty in measurement or observation leads to the concept of probability.
based on what?dr ddd wrote:A binary model hardcodes this probability into being a very simplistic 50%/50% which is just not a natural concept in our world.
another logical failure: any measurement should be aware of an error margin, usually it is, and then we consider if that margin plays a significant role in what we try to achievedr ddd wrote:So if you dont like probability, the only option you have is a very basic unary model (i.e. true) that something is equal to itself. Any other "false" concept would have an associated uncertainty and it's not binary anymore i'm afraid.
i'm sorry man, but the redlight model is a drop of godliness i'm bringing to this world for the simple reason that if you fail at it you usually die or are seriously injured.dr ddd wrote:Take your traffic light idea, you say the traffic light is red or not. Actually the traffic light is an electrical device consisting of thousands of interations and influences that mean the the light may "not" be shining the colour red even if you believe it is. Both external and observational. You cant remove the observer from the observation of whether it is red or not.
It could be that you didnt realise what you observe as the colour red is the same as someone else, you could be wearing tinted lenses, and in fact, the truth of the matter is that the light is not red at all! In fact, the combinations of colours reflected from the light object combine to produce a red colour. In fact, red is the VERY colour the light isnt, it;s what you observe it to be.
So what can you do? You need to clarify and specifiy what saying "the traffic light is red" means- either the light emitted from the bulb is seen as red by the person looking at it, or the lightbulb is red when switched on (is the light still red if someone painted it red and switched it off?) and so on...
Given this, you take more observations, you get other observers to observe it too... you assemble your data together and compare.... until your pretty sure that the theory you had that the light was red, is accurate to say a 95% confidence level with the limited observation techniques that you had for now.
Now you can use this confidence level to predict whether or not the light will be red the next time you look at it, all you know is that the light IS red +/- some uncertainty. It may be or may not be, and all that will tell you is whether your predicition was true or false for that single observation..... now you need to take some more observations, just to be sure that the reason it was or wasnt red isn't due to the fact that the lightbulb blew in the meantime, or that the fact you saw it red last time somehow changes the way it would act this time (e.g. the cable shorted out) or some other helpful observer came along while you werent looking and painted it.... you need to rule out all random statistical fluctuations and human error, and then limit any systematic ones (like the constant inaccuracy in the measuring device used for the string).
then, and only then, - maybe you have an idea for a model of whether the light is red or not and, unless you're god and you make it so, that certainly isnt binary.