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from giga to nano: large and small numbers
Gordon Speer's Metric Prefixes
There are many more molecules in a glass of water than there
are glasses of water in the sea.
--Lewis Wolpert
exponential change: network effects
There are many more molecules in a glass of water than there
are glasses of water in the sea.
--Lewis Wolpert
6 billion people on Earth
6 billion birds in U.S.
10^21
stars in universe
10^18 insects on Earth
one in every four animal species on Earth is a beetle.
10^23 protozoa living in digestive tracts of insects
'Social insects' could make up an incredible 20% of Earth's total animal biomass.
Microbes
And Me
by Jennifer LeBlanc
Explorit Science Center, January 2002
Adults have between 11,000 (forearm) and 1.5 million (scalp) bacteria per square centimeter of skin. ... Every day, we produce 10 billion skin flakes, called squames. In a year, these dead, discarded skin flakes weigh in at over two kilograms.
When I had a hundred-megabyte (MB) hard drive, it sounded a
little far out to think having all my music on a portable personal computer.
What about ten years from now when I put all my personal information into a
device? How about a terabyte (TB) -- 1000 gigabytes?
If it seems hard to imagine what to do with that space, I try to remember what I
would have thought of a 20-GB drive in 1989.
Everything I will read in
my lifetime stored as text is unlikely to amount to more than a few GB.
I could snap 100,000 JPEGs
and still use only 10 GB.
Several hundred music
CD’s turns into about 20 GB using MP3 compression.
Then I can really start eating up space. A hundred DVD movies plus 250 hours of
TV and I will still have used only a little more than a third of my one-terabyte
hard drive.
Of course, I'll fill it up and want another. What if I wore a microphone every minute of every day and recorded my whole life? At compressed voice-grade (8 kilobits per second), I might need a terabyte if I live into my 80's.
Conclusion: most of what I would want to store is audio and video, and everything else is incidental.
Then the problem will be to find it. Indexing and retrieval will be the big challenges.
On the Medaille MBA spreadsheet with all the student records, each student has a row. For row 15, (your last names begin with C), column DI has this forumula:
=IF(COUNT(AM15:DH15)=0,0,(AN15+AP15+AR15+
AT15+AV15+AX15+AZ15+BB15+BD15+BF15+BH15+
BJ15+BL15+BN15+BP15+BR15+BT15+BV15+BX15+
BZ15+CB15+CD15+CF15+CH15+CJ15+CL15+CN15+
CP15+CR15+CT15+CV15+CX15+CZ15+DB15+DD15+
DF15+DH15)/COUNT(AM15:DH15))
Looks pretty scientific, doesn't it? For rows 15, 16, and 17,
(your last names begin with C), it produces the following grade point averages.
3.671428571
3.714285714
3.842857143
Student 15's grade point average is 3.671428571. Therefore, he didn't get as
good grades as Student 16, whose grade point average is 3.714285714. I guess he
isn't as smart. Or maybe he aren't as good a student. I think student 16 with
the higher average should get an A but student 15 with the lower average should
get an A-. After all, we can't reward mediocrity!!
Any statistician would say, Give me a break. That kind of accuracy says more
about the measurer than about the thing measured, that is, it says more about
the teacher than the student.
It is sometimes called "superfluous accuracy", like saying that the
Great Pyramid is lined up North/South to within a ten-thousandth of a degree.
There isn't any stone on that pyramid that anyone can measure whether it's lined
up in any direction to within .0001 degree. How far have plate tectonics shifted
Africa between the time the pyramid was built and the time its North/South
orientation was measured? More than .0001 degree, to be sure.
In your case, if you took all those test again, right now, how would you score?
More importantly, what does your average predict about how well you will do your
job?
Where does all that accuracy come from? It comes from throwing away estimates of
error. You take a test and the teacher scores it as an 88% and he throws away
the plus and minus. He averages three tests, all of which had a plus or minus
thrown away because otherwise it would multiply, creating a course grade with a
wide estimate of error. Finally, all these imprecise course grades are averaged,
given equal weight, to create a grade-point average to the tenth decimal place.
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