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updated: 2019-12-31
"People will act if they expect to achieve results & the results are important to them." --- Charles Margerison 1979 _How to Assess Your Managerial Style_ pg 62 (citing V. Vroom 1964 _Motivation & Work_)/b> |
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 |
"Speed kills the Censor. 1. List 5 hobbies that sound fun. 2. List 5 classes that sound fun. 3. List 5 things you personally would *never* do that sound fun. 4. List 5 skills that would be fun to have. 5. List 5 things you used to enjoy doing. 6. List 5 silly things you would like to try once." --- Julia Cameron & Mark Bryan 1992 _The Artist's Way_ pg 86 |
"An expert is someone who through practice and repeated exposure can recognize patterns that are more subtle than can be recognized by a non-expert... Experts can recognize patterns on top of patterns... It all depends on what we are exposed to throughout our lives." --- Jeff Hawkins & Sandra Blakeslee 2004 _On Intelligence_ pg188 |
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
USA Over-Population Clock
World + USA Over-Population Clocks
Jimbo Wales's WikiPedia on World Over-Population
population density
countries by population density
USA states and counties by population density
World Atlas: states by population density
"German education hardly dealt with 'the whole man'; it chiefly produced men proficient in special skills or special knowledge but lacking not only in the most primitive preparation for civic responsibility but also in a canon of absolute ethical commitments... The higher philosophy & the humanities of the period were largely formalistic or relativistic... In these circumstances it was inevitable that so many people fell for cheap & simple interpretations of life & history, as offered by the racists. To young people in particular this proved an irresistible temptation." --- Hajo Holborn 1969 _An History of Modern Germany 1840-1945_ pg 813 |
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jgo Econ Data & Graphs | jgo Econ News Bits |
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