Imaginist said:
The thing that I find really interesting about all of this is that it chips away at the foundation of the conventional worldview, which seems to be based upon the idea that we can and do know things in themselves because we can quantify and qualify them with measurement. But with precision and certainty in measurement slipping through our intellectual fingers, where is the objective world that we are supposed to be working with in science?
I'm sure that you'll get better responses than mine, but the conventional
scientific worldview is that all measurements of positions have an element of error in them.
We could discuss this philosophically, but let's take a concrete example. I pick up the ruler beside me, and measure an object to be 2.5 cm.
There are both approximations and errors in this measurement. Among them are:
* the ruler may not be marked accurately
* the ruler expands/contracts with heat
* the marks have non-zero width
* my eyes can only resolve details to x microns
* the wavelength of visible light restricts accuracy to y microns
* the alignment of my eye with the object and ruler will affect how i perceive the ruler markers lining up with the object.
* etc.
However, this does not destroy certainty, it just limits it. For example, I know that the object is not 1 km long, let alone 10^10 light years long. I also know the object is not 1 micron long. More precisely, I can certainly limit it's size to be between 2 and 3 cm with absolute certainty. In practice, my measurement is probably precise within .1 cm.
And it doesn't stop here. I have multiple ways of measuring the size of the object. I can use calipers with a digital readout. I can use lasers. etc. Given the assumption that the world exists (something I will not debate in this forum), we can keep refining our instruments and techiniques to get ever finer precision and accuracy (upto what the Heisenberg uncertainty principle will allow).
A common error in thinking about these things w/o doing the math is to imagine a measuring process that has error (which all do), then imagine another process, which also has error, etc, etc, and then
sum those errors, and conclude that there is no measurement, no certainty, just a mass of confusion. Sometimes that is how errors work, they sum, but if you choose your measurements correctly they don't.
An example: GPS. GPS works by satellites orbiting earth. A receiver receives signals from the satellites, and can determine how far it is from the satellite.
If the receiver sees 1 satellites, it can only know that it is Da miles from the satellite with xa error, so that places your position within a huge sphere of xa thickness.
If the receiver sees 2 satellites, then it computes the sphere for satellite 1 and the sphere for satellite 2, and then computes their intersection. The result is some kind of torus shape.
If the receiver sees 3, the estimate gets better. With 4 satellites, you can pinpoint your position in 3D space, with of course some error. Furthermore, you can start doing error corrections. If one satellite is broken and sending bad signals, you can detect that because its sphere will not intersect with the other 3 satellites.
Of course the math is more complicated than I have described, but the point remains that by triangulating we are
reducing the error, not increasing it. And with each measurement we are not getting incremental improvements, but orders of magnitude.
And that is how science works, by
triangulating, metaphorically speaking, onto the truth. Given the assumption of a real world, then by multiple measurements we can improve our accuracy and precision. Proving that takes a lot of math, but the GPS example let's me present it qualitatively.
Interesting questions, thanks for the contribution to the board!
roger