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updated: 2020-04-20
"If the legal structure says that banks cannot collect debts owed to them by the poor, banks will stop lending money to the poor. If the legal system says that the lower strata of society must be excused from criminal responsibility because they are merely victims in a determinist world, the crime rate soars, and there ceases to be an incentive to the honest poor to stay honest. If a state legal system goes too far in enforcing greater equality in the distribution of wealth, the generators of wealth -- the owners of capital -- leave and seek more hospitable states." --- Richard Neely, WV Supreme Court 1983 _Why Courts Don't Work_ |
U | M | T | W | R | F | S |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 |
8 | 9 | 10 | 11 | 12 | 13 | 14 |
15 | 16 | 17 | 18 | 19 | 20 | 21 |
22 | 23 | 24 | 25 | 26 | 27 | 28 |
29 | 30 | 31 |
"Today's criminal law reflects a lack of consensus about both moral standards and the distribution of wealth because the street now has a voice in political affairs. Some of the messages the street is sending are just and good, and some are corrupt and evil. All the messages, however, are political." --- Richard Neely, WV Supreme Court 1983 _Why Courts Don't Work_ |
"Although initially dependent on British technologists brought in by Hong Kong's Jardine Matheson, Japan's home-grown stock of technologists and scientists grew rapidly with a rapid increase in the number of new technical colleges throughout the islands. Ultimately, the students from these schools played the leading role, as both founders of new firms and modernizing mangers of older, existing busiensses in critical industries such as petro-chemicals and electrical machinery." --- Joel Kotkin 1992 _Tribes: How Race, Religion, and Identity Determine Success in the New Global Economy_ pg134 (citing Barbara Moloney 1990 _Technology and Investment in the PreWar Japanese Chemical Industry_ pp6-7, 10, 39-40; W.H.G. Armytage 2003 _A "Social" History of Engineering_pp233-234) |
K | kilo- | thousand | 10^3 | 1,000 | |
M | mega- | million | one thousand thousand | 10^6 | 1,000,000 |
G | giga- | billion | one thousand million | 10^9 | 1,000,000,000 |
T | tera- | trillion | one million million | 10^12 | 1,000,000,000,000 |
P | peta- | quadrillion | one million billion | 10^15 | 1,000,000,000,000,000 |
E | exa- | quintillion | one billion billion | 10^18 | 1,000,000,000,000,000,000 |
Z | zetta- | sextillion | one billion trillion | 10^21 | 1,000,000,000,000,000,000,000 |
Y | yotta- | septillion | one trillion trillion | 10^24 | 1,000,000,000,000,000,000,000,000 |
Except that computer people use 2 as a base raised to multiples of powers of 10, instead of 10 raised to multiples of powers of 3 because powers of 2 are handier for them, but they also want to stay somewhat close to the values of 10 most folks are used to.
1,024 | K | kilo- (kibi-) | 2^10 |
1,048,576 | M | mega- (mebi-) | 2^20 |
1,073,741,824 | G | giga- (gibi-) | 2^30 |
1,099,511,627,776 | T | tera- (tebi-) | 2^40 |
1,125,899,906,842,624 | P | peta- (pebi-) | 2^50 |
1,152,921,504,606,846,976 | E | exa- (exbi-) | 2^60 |
1,180,591,620,717,411,303,424 | Z | zetta- (zebi-) | 2^70 |
1,208,925,819,614,629,174,706,176 | Y | yotta- (yobi-) | 2^80 |
3. 14159 26535 89793 23846 26433 83279 50288 41971 69399 37510 58209 74944 59230 78164 06286 20899 86280 ≅ π
GREAT |
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