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Archive for June, 2010

FBI INTELLIGENCE NOTE

June 24, 2010 By: Herman Category: Business

http://www.ic3.gov/

FBI Intelligence Note

Prepared by the Internet Crime Complaint Center (IC3)

June 21, 2010

Fraudulent Telephone Calls Allowing Fraudsters Access to Consumer Financial and Brokerage Accounts The FBI Newark Division released a warning to consumers concerning a new scheme using telecommunications denial-of-service (TDoS) attacks.

The FBI determined fraudsters compromised victim accounts and contacted financial institutions to change the victim profile information (i.e. email addresses, telephone numbers and bank account numbers).

The TDoS attacks used automated dialing programs and multiple accounts to overwhelm victims’ cell phones and land lines with thousands of calls. When victims answered the calls they heard dead air (nothing on the other end), an innocuous recorded message, advertisement, or a telephone sex menu. Calls were typically short in duration but so numerous that victims changed their phone numbers to terminate the attack.

These TDoS attacks were used as a diversion to prevent financial and brokerage institutions from verifying victim account changes and transactions. Fraudsters were afforded adequate time to transfer funds from victim brokerage and financial online accounts.

Protection from TDoS attacks and other types of fraud requires consumers to be vigilant and proactive. In Newark’s Public Service Announcement (PSA), they recommend consumers protect themselves by:

  • Implement security measures for all financial accounts by placing fraud alerts with the major credit bureaus if you believe they were targeted by a TDoS attack or other forms of fraud.
  • Use strong passwords for all financial accounts and change them regularly.
  • Obtain and review your annual credit report for fraudulent activity.

If you were a target of a TDoS attack, immediately contact your financial institutions, notify your telephone provider, and promptly report it to the IC3 website at: www.IC3.gov. The IC3 complaint database links complaints to assist in referrals to the appropriate law enforcement agency for case consideration. The complaint information is also used to identity emerging trends and patterns.

To learn more about the FBI’s role in addressing these attacks please refer to the FBI Newark Division, PSA dated May 11, 2010, located at: http://newark.fbi.gov/press.htm.

A journalist goes swimming and diving in the oil spill

June 09, 2010 By: admin Category: BP Oil Fiasco, Societal

http://video.foxnews.com/v/4233025/journalist-jumps-into-gulf-oil-spill

Rich Matthews got a simple scuba diving gear and went swimming on and below the surface of the oil spill.

Countries external debts

June 06, 2010 By: admin Category: Business

Since the US Treasury Secretary Geithner saw himself  (again)  in position of lecturing other nations on their economies, I thought it might be interesting to see the US position with respect to the world.

The Dollars per Capita owed to country’s external creditors is the measure of the amount each citizen owes. For example, this was $43,758 as of June 30, 2009 for every American and $49,525 for each Greek.

The Percentage of the country’s GDP (Gross Domestic Product) can be seen as the country’s ability to repay. In other words, Liberia may have owed only $930 Per Capita in 2003 but the total amount being 606% of its GDP, its ability to repay is rather slim.

Source:  http://en.wikipedia.org/wiki/List_of_countries_by_external_debt

Ranked by Percent of GDP Ranked by Per Capita Dollars
Country↓ External debt[2] Date↓ Country↓ External debt[2] Date↓
US dollars↓ Per capita[3][4] Per Capita Percent of US dollars↓ Per capita[3][4] Per Capita Percent of
US dollars↓ % of GDP[5][6]↓ Dollars GDP US dollars↓ % of GDP[5][6]↓ Dollars GDP
World 56,900,000,000,000 31 December 2009 est. 8,422 98% World 56,900,000,000,000 31 December 2009 est. 8,422 98%
1 Monaco 18,000,000,000 2000 est. 565,043 N/A 1 Luxembourg 1,994,000,000,000 30-Jun-09 4,028,283 3854%
2 Korea, North 12,500,000,000 2001 est. 582 N/A 2 Monaco 18,000,000,000 2000 est. 565,043 N/A
3 Somalia 3,000,000,000 2001 est. 393 N/A 3 Ireland 2,287,000,000,000 30-Sep-09 515,671 1004%
4 Netherlands Antilles 2,680,000,000 2004 12,280 N/A 4 Netherlands 3,733,000,000,000 31-Dec-09 226,503 470%
5 West Bank 1,300,000,000 2007 est. 552 N/A 5 Switzerland 1,339,000,000,000 30-Jun-09 182,899 271%
6 Bermuda 160,000,000 FY99/00 2,560 N/A 6 United Kingdom 9,088,000,000,000 30-Jun-09 147,060 416%
7 Cook Islands 141,000,000 1996 est. 7,756 N/A 7 Belgium 1,354,000,000,000 31-Dec-08 126,188 267%
8 New Caledonia 79,000,000 1998 est. 404 N/A 8 Norway 548,100,000,000 30-Jun-09 113,174 143%
9 Cayman Islands 70,000,000 1996 2,078 N/A 9 Denmark 607,400,000,000 30-Jun-09 110,216 196%
10 Faroe Islands 68,100,000 2006 1,409 N/A 10 Austria 808,900,000,000 30-Sep-09 97,411 212%
11 Micronesia, Federated States of 60,800,000 FY05 est. 563 N/A 11 Hong Kong 655,100,000,000 30-Sep-09 92,725 311%
12 Greenland 58,000,000 2009 1,007 N/A 12 France 5,021,000,000,000 30-Jun-09 80,209 188%
13 British Virgin Islands 36,100,000 1997 1,897 N/A 13 Sweden 669,100,000,000 30-Jun-09 72,594 165%
14 Nauru 33,300,000 2004 est. 2,599 N/A 14 Finland 364,900,000,000 30-Jun-09 68,180 153%
15 Montserrat 8,900,000 1997 14,958 N/A 15 Germany 5,208,000,000,000 30-Jun-09 63,493 155%
16 Anguilla 8,800,000 1998 818 N/A 16 Spain 2,410,000,000,000 30-Jun-09 52,588 165%
17 Wallis and Futuna 3,670,000 2004 244 N/A 17 Qatar 63,160,000,000 31 December 2009 est. 51,856 75%
18 Niue 418,000 2002 est. 196 N/A 18 Greece 552,800,000,000 30-Jun-09 49,525 167%
19 Liechtenstein 0 2001 0 N/A 19 Portugal 507,000,000,000 30-Jun-09 47,632 223%
20 Palau 0 FY99/00 0 N/A 20 United States 13,450,000,000,000 30-Jun-09 43,758 94%
21 Luxembourg 1,994,000,000,000 30-Jun-09 4,028,283 3854% 21 Australia 920,000,000,000 31 December 2009 est. 42,057 92%
22 Ireland 2,287,000,000,000 30-Sep-09 515,671 1004% 22 Cyprus 32,860,000,000 31 December 2008 est. 41,648 129%
23 Liberia 3,200,000,000 2005 est. 930 606% 23 Italy 2,328,000,000,000 31-Dec-08 39,234 101%
24 Netherlands 3,733,000,000,000 31-Dec-09 226,503 470% 24 Slovenia 55,000,000,000 31-Aug-09 27,282 112%
25 United Kingdom 9,088,000,000,000 30-Jun-09 147,060 416% 25 United Arab Emirates 128,600,000,000 31 December 2009 est. 26,202 56%
26 Sao Tome and Principe 318,000,000 2002 2,193 349% 26 Canada 833,800,000,000 30-Jun-09 24,749 62%
27 Hong Kong 655,100,000,000 30-Sep-09 92,725 311% 27 Estonia 22,540,000,000 31 December 2009 est. 16,821 118%
28 Switzerland 1,339,000,000,000 30-Jun-09 182,899 271% 28 Latvia 38,010,000,000 31 December 2009 est. 16,811 145%
29 Belgium 1,354,000,000,000 31-Dec-08 126,188 267% 29 Japan 2,132,000,000,000 30-Jun-09 16,714 42%
30 Portugal 507,000,000,000 30-Jun-09 47,632 223% 30 Montserrat 8,900,000 1997 14,958 N/A
31 Austria 808,900,000,000 30-Sep-09 97,411 212% 31 Seychelles 1,250,000,000 31 December 2009 est. 14,706 163%
32 Guinea-Bissau 941,500,000 2000 est. 722 203% 32 New Zealand 58,920,000,000 31 December 2009 est. 13,636 50%
33 Burundi 1,200,000,000 2003 167 202% 33 Croatia 59,400,000,000 30 September 2009 est. 13,390 94%
34 Denmark 607,400,000,000 30-Jun-09 110,216 196% 34 Netherlands Antilles 2,680,000,000 2004 12,280 N/A
35 France 5,021,000,000,000 30-Jun-09 80,209 188% 35 Hungary 116,800,000,000 31-Dec-09 11,667 90%
36 Gambia, The 628,800,000 2003 est. 438 170% 36 Israel 84,690,000,000 31 December 2009 est. 11,649 43%
37 Greece 552,800,000,000 30-Jun-09 49,525 167% 37 Lithuania 36,430,000,000 31 December 2009 est. 10,924 98%
38 Spain 2,410,000,000,000 30-Jun-09 52,588 165% 38 Iceland 3,073,000,000 2002 10,670 35%
39 Sweden 669,100,000,000 30-Jun-09 72,594 165% 39 Bahrain 10,870,000,000 31 December 2009 est. 10,462 54%
40 Sierra Leone 1,610,000,000 2003 est. 311 163% 40 Slovakia 52,530,000,000 31-Dec-08 9,706 55%
41 Seychelles 1,250,000,000 31 December 2009 est. 14,706 163% 41 Kuwait 32,500,000,000 31 December 2009 est. 9,191 29%
42 Germany 5,208,000,000,000 30-Jun-09 63,493 155% 42 Malta 3,750,000,000 2008 9,080 45%
43 Congo, Republic of the 5,000,000,000 2000 est. 1,722 155% 43 Cook Islands 141,000,000 1996 est. 7,756 N/A
44 Finland 364,900,000,000 30-Jun-09 68,180 153% 44 Czech Republic 76,830,000,000 31 December 2009 est. 7,318 39%
45 Latvia 38,010,000,000 31 December 2009 est. 16,811 145% 45 Korea, South 333,600,000,000 31 December 2009 est. 6,842 40%
46 Norway 548,100,000,000 30-Jun-09 113,174 143% 46 Bulgaria 49,280,000,000 31 December 2009 est. 6,511 105%
47 Zimbabwe 5,821,000,000 31 December 2009 est. 496 132% 47 Saint Kitts and Nevis 314,000,000 2004 6,408 79%
48 Cyprus 32,860,000,000 31 December 2008 est. 41,648 129% 48 Kazakhstan 93,210,000,000 31 December 2009 est. 5,987 85%
49 Estonia 22,540,000,000 31 December 2009 est. 16,821 118% 49 Lebanon 21,110,000,000 30 November 2009 est. 5,473 63%
50 Comoros 232,000,000 2000 est. 420 115% 50 Poland 201,200,000,000 31 December 2009 est. 5,279 47%
51 Slovenia 55,000,000,000 31-Aug-09 27,282 112% 51 Aruba 478,600,000 2005 est. 4,935 21%
52 Bulgaria 49,280,000,000 31 December 2009 est. 6,511 105% 52 Romania 95,480,000,000 31 December 2009 est. 4,459 59%
53 Italy 2,328,000,000,000 31-Dec-08 39,234 101% 53 Antigua and Barbuda 359,800,000 Jun-06 4,388 36%
54 Congo, Democratic Republic of the 10,000,000,000 2007 est. 164 100% 54 Serbia 31,720,000,000 30 November 2009 est. 4,297 74%
55 Lithuania 36,430,000,000 31 December 2009 est. 10,924 98% 55 Jamaica 11,550,000,000 31 December 2009 est. 4,260 97%
56 Jamaica 11,550,000,000 31 December 2009 est. 4,260 97% 56 Singapore 19,200,000,000 31 December 2009 est. 4,042 11%
57 United States 13,450,000,000,000 30-Jun-09 43,758 94% 57 Turkey 274,000,000,000 31 December 2009 est. 3,884 45%
58 Croatia 59,400,000,000 30 September 2009 est. 13,390 94% 58 Uruguay 12,610,000,000 31 December 2009 est. 3,770 40%
59 Australia 920,000,000,000 31 December 2009 est. 42,057 92% 59 Chile 60,900,000,000 31 December 2009 est. 3,586 38%
60 Hungary 116,800,000,000 31-Dec-09 11,667 90% 60 Mauritius 4,567,000,000 31 December 2009 est. 3,565 52%
61 Ukraine 104,000,000,000 31 December 2009 est. 2,275 90% 61 Panama 12,040,000,000 31 December 2009 est. 3,475 49%
62 Kazakhstan 93,210,000,000 31 December 2009 est. 5,987 85% 62 Taiwan 79,800,000,000 31 December 2009 est. 3,452 21%
63 Mali 2,800,000,000 2002 240 84% 63 Grenada 347,000,000 2004 3,402 74%
64 Niger 2,100,000,000 2003 est. 178 79% 64 Dominica 213,000,000 2004 3,000 75%
65 Saint Kitts and Nevis 314,000,000 2004 6,408 79% 65 Belize 954,100,000 2008 est. 2,982 70%
66 Iraq 50,290,000,000 31 December 2009 est. 1,610 76% 66 Saudi Arabia 72,450,000,000 31 December 2009 est. 2,839 20%
67 Nicaragua 4,700,000,000 31 December 2009 est. 743 76% 67 Argentina 108,600,000,000 31 December 2009 est. 2,706 35%
68 Qatar 63,160,000,000 31 December 2009 est. 51,856 75% 68 Macedonia 5,458,000,000 31 September 2009 est. 2,648 59%
69 Dominica 213,000,000 2004 3,000 75% 69 Russia 369,200,000,000 31 December 2009 est. 2,611 30%
70 Serbia 31,720,000,000 30 November 2009 est. 4,297 74% 70 Nauru 33,300,000 2004 est. 2,599 N/A
71 Grenada 347,000,000 2004 3,402 74% 71 Bermuda 160,000,000 FY99/00 2,560 N/A
72 Moldova 3,970,000,000 31 December 2009 est. 1,113 73% 72 Oman 7,474,000,000 31 December 2009 est. 2,522 14%
73 Guinea 3,072,000,000 31 December 2009 est. 290 70% 73 Barbados 668,000,000 2003 2,456 25%
74 Belize 954,100,000 2008 est. 2,982 70% 74 Ukraine 104,000,000,000 31 December 2009 est. 2,275 90%
75 Kyrgyzstan 3,467,000,000 31-Dec-08 653 68% 75 Sao Tome and Principe 318,000,000 2002 2,193 349%
76 Central African Republic 1,153,000,000 2007 est. 270 68% 76 Bosnia and Herzegovina 8,415,000,000 31 December 2009 est. 2,102 49%
77 Sudan 36,270,000,000 31 December 2009 est. 927 66% 77 Saint Vincent and the Grenadines 223,000,000 2004 2,084 54%
78 Bhutan 836,000,000 2009 1,239 66% 78 Cayman Islands 70,000,000 1996 2,078 N/A
79 Lebanon 21,110,000,000 30 November 2009 est. 5,473 63% 79 Gabon 3,065,000,000 31 December 2009 est. 2,078 28%
80 Canada 833,800,000,000 30-Jun-09 24,749 62% 80 El Salvador 11,510,000,000 31 December 2009 est. 1,976 55%
81 Romania 95,480,000,000 31 December 2009 est. 4,459 59% 81 British Virgin Islands 36,100,000 1997 1,897 N/A
82 Macedonia 5,458,000,000 31 September 2009 est. 2,648 59% 82 Costa Rica 8,057,000,000 31 December 2009 est. 1,744 27%
83 United Arab Emirates 128,600,000,000 31 December 2009 est. 26,202 56% 83 Malaysia 48,260,000,000 31 December 2009 est. 1,738 25%
84 Djibouti 428,000,000 2006 573 56% 84 Congo, Republic of the 5,000,000,000 2000 est. 1,722 155%
85 Slovakia 52,530,000,000 31-Dec-08 9,706 55% 85 Maldives 589,000,000 2009 est. 1,707 43%
86 El Salvador 11,510,000,000 31 December 2009 est. 1,976 55% 86 Cuba 19,440,000,000 31 December 2009 est. 1,698 34%
87 Laos 3,085,000,000 2009 est. 484 55% 87 Mexico 177,000,000,000 31 December 2009 est. 1,646 20%
88 Cote d’Ivoire 12,080,000,000 31 December 2009 est. 565 54% 88 Iraq 50,290,000,000 31 December 2009 est. 1,610 76%
89 Bahrain 10,870,000,000 31 December 2009 est. 10,462 54% 89 Trinidad and Tobago 2,079,000,000 31 December 2009 est. 1,589 10%
90 Saint Vincent and the Grenadines 223,000,000 2004 2,084 54% 90 Saint Lucia 257,000,000 2004 1,586 32%
91 Marshall Islands 87,000,000 2008 est. 1,377 54% 91 Venezuela 43,410,000,000 31 December 2009 est. 1,517 13%
92 Cape Verde 325,000,000 2002 722 53% 92 Tunisia 15,640,000,000 31 December 2009 est. 1,500 39%
93 Mauritius 4,567,000,000 31 December 2009 est. 3,565 52% 93 South Africa 73,840,000,000 30-Jun-09 1,497 26%
94 Armenia 4,470,000,000 30-Jun-09 1,368 51% 94 Faroe Islands 68,100,000 2006 1,409 N/A
95 New Zealand 58,920,000,000 31 December 2009 est. 13,636 50% 95 Marshall Islands 87,000,000 2008 est. 1,377 54%
96 Panama 12,040,000,000 31 December 2009 est. 3,475 49% 96 Armenia 4,470,000,000 30-Jun-09 1,368 51%
97 Bosnia and Herzegovina 8,415,000,000 31 December 2009 est. 2,102 49% 97 Dominican Republic 11,850,000,000 31 December 2009 est. 1,312 25%
98 Poland 201,200,000,000 31 December 2009 est. 5,279 47% 98 Bhutan 836,000,000 2009 1,239 66%
99 Sri Lanka 19,450,000,000 31 December 2009 est. 961 47% 99 Brazil 216,100,000,000 31 December 2009 est. 1,129 14%
100 Samoa 177,000,000 2004 994 47% 100 Jordan 6,715,000,000 31 December 2009 est. 1,121 29%
101 Turkey 274,000,000,000 31 December 2009 est. 3,884 45% 101 Moldova 3,970,000,000 31 December 2009 est. 1,113 73%
102 Malta 3,750,000,000 2008 9,080 45% 102 Bahamas, The 342,600,000 2004 est. 1,067 6%
103 Mongolia 1,860,000,000 2009 690 44% 103 Colombia 47,330,000,000 31 December 2009 est. 1,052 21%
104 Eritrea 311,000,000 2000 est. 87 44% 104 Guyana 804,300,000 30-Sep-08 1,049 42%
105 Solomon Islands 166,000,000 2004 355 44% 105 Peru 30,040,000,000 31 December 2009 est. 1,032 24%
106 Israel 84,690,000,000 31 December 2009 est. 11,649 43% 106 Libya 6,491,000,000 31 December 2009 est. 1,025 11%
107 Maldives 589,000,000 2009 est. 1,707 43% 107 Suriname 504,300,000 2005 est. 1,011 28%
108 Japan 2,132,000,000,000 30-Jun-09 16,714 42% 108 Greenland 58,000,000 2009 1,007 N/A
109 Mozambique 4,159,000,000 31 December 2009 est. 197 42% 109 Samoa 177,000,000 2004 994 47%
110 Guyana 804,300,000 30-Sep-08 1,049 42% 110 Thailand 66,300,000,000 31 December 2009 est. 990 25%
111 Korea, South 333,600,000,000 31 December 2009 est. 6,842 40% 111 Sri Lanka 19,450,000,000 31 December 2009 est. 961 47%
112 Uruguay 12,610,000,000 31 December 2009 est. 3,770 40% 112 Ecuador 13,280,000,000 31 December 2009 est. 941 23%
113 Czech Republic 76,830,000,000 31 December 2009 est. 7,318 39% 113 Montenegro 650,000,000 2006 939 24%
114 Tunisia 15,640,000,000 31 December 2009 est. 1,500 39% 114 Turkmenistan 5,000,000,000 2009 est. 934 31%
115 Chile 60,900,000,000 31 December 2009 est. 3,586 38% 115 Liberia 3,200,000,000 2005 est. 930 606%
116 Ghana 5,840,000,000 31 December 2009 est. 253 38% 116 Sudan 36,270,000,000 31 December 2009 est. 927 66%
117 Cambodia 4,157,000,000 31 December 2009 est. 298 38% 117 Botswana 1,651,000,000 31 December 2009 est. 910 14%
118 Nepal 4,500,000,000 2009 161 36% 118 Belarus 7,900,000,000 31 December 2009 est. 833 16%
119 Lesotho 581,000,000 31 December 2009 est. 233 36% 119 Anguilla 8,800,000 1998 818 N/A
120 Antigua and Barbuda 359,800,000 Jun-06 4,388 36% 120 Tonga 80,700,000 2004 791 33%
121 Argentina 108,600,000,000 31 December 2009 est. 2,706 35% 121 Georgia 3,381,000,000 31-Dec-09 771 31%
122 Iceland 3,073,000,000 2002 10,670 35% 122 Nicaragua 4,700,000,000 31 December 2009 est. 743 76%
123 Vietnam 31,000,000,000 31 December 2009 est. 355 34% 123 Angola 12,830,000,000 31 December 2009 est. 741 19%
124 Cuba 19,440,000,000 31 December 2009 est. 1,698 34% 124 Guinea-Bissau 941,500,000 2000 est. 722 203%
125 Tajikistan 1,691,000,000 31 December 2009 est. 260 34% 125 Cape Verde 325,000,000 2002 722 53%
126 Philippines 53,140,000,000 30 September 2009 est. 576 33% 126 Mongolia 1,860,000,000 2009 690 44%
127 Tonga 80,700,000 2004 791 33% 127 Kyrgyzstan 3,467,000,000 31-Dec-08 653 68%
128 Tanzania 7,070,000,000 31 December 2009 est. 174 32% 128 Indonesia 150,700,000,000 31 December 2009 est. 651 28%
129 Saint Lucia 257,000,000 2004 1,586 32% 129 Morocco 20,060,000,000 31 December 2009 est. 633 22%
130 Pakistan 52,120,000,000 31 December 2009 est. 318 31% 130 Korea, North 12,500,000,000 2001 est. 582 N/A
131 Turkmenistan 5,000,000,000 2009 est. 934 31% 131 Philippines 53,140,000,000 30 September 2009 est. 576 33%
132 Georgia 3,381,000,000 31-Dec-09 771 31% 132 Djibouti 428,000,000 2006 573 56%
133 Russia 369,200,000,000 31 December 2009 est. 2,611 30% 133 Namibia 1,184,000,000 31 December 2009 est. 569 13%
134 Bolivia 5,349,000,000 31 December 2009 est. 523 30% 134 Cote d’Ivoire 12,080,000,000 31 December 2009 est. 565 54%
135 Kuwait 32,500,000,000 31 December 2009 est. 9,191 29% 135 Micronesia, Federated States of 60,800,000 FY05 est. 563 N/A
136 Jordan 6,715,000,000 31 December 2009 est. 1,121 29% 136 West Bank 1,300,000,000 2007 est. 552 N/A
137 Papua New Guinea 2,320,000,000 31 December 2009 est. 366 29% 137 Guatemala 7,489,000,000 31 December 2009 est. 534 20%
138 Indonesia 150,700,000,000 31 December 2009 est. 651 28% 138 Bolivia 5,349,000,000 31 December 2009 est. 523 30%
139 Gabon 3,065,000,000 31 December 2009 est. 2,078 28% 139 Swaziland 534,000,000 31 December 2009 est. 520 18%
140 Suriname 504,300,000 2005 est. 1,011 28% 140 Paraguay 3,220,000,000 31-Dec-09 513 22%
141 Costa Rica 8,057,000,000 31 December 2009 est. 1,744 27% 141 Albania 1,550,000,000 2004 497 21%
142 Burma 7,373,000,000 31 December 2009 est. 123 27% 142 Zimbabwe 5,821,000,000 31 December 2009 est. 496 132%
143 Chad 1,600,000,000 2005 est. 177 27% 143 Laos 3,085,000,000 2009 est. 484 55%
144 South Africa 73,840,000,000 30-Jun-09 1,497 26% 144 Gambia, The 628,800,000 2003 est. 438 170%
145 Thailand 66,300,000,000 31 December 2009 est. 990 25% 145 Honduras 3,315,000,000 31 December 2009 est. 423 23%
146 Malaysia 48,260,000,000 31 December 2009 est. 1,738 25% 146 Comoros 232,000,000 2000 est. 420 115%
147 Bangladesh 23,220,000,000 31 December 2009 est. 141 25% 147 New Caledonia 79,000,000 1998 est. 404 N/A
148 Dominican Republic 11,850,000,000 31 December 2009 est. 1,312 25% 148 Somalia 3,000,000,000 2001 est. 393 N/A
149 Yemen 6,245,000,000 31 December 2009 est. 264 25% 149 Vanuatu 81,200,000 2004 383 22%
150 Zambia 3,313,000,000 31 December 2009 est. 277 25% 150 Syria 7,621,000,000 31 December 2009 est. 374 15%
151 Barbados 668,000,000 2003 2,456 25% 151 Egypt 28,450,000,000 31 December 2009 est. 371 15%
152 Peru 30,040,000,000 31 December 2009 est. 1,032 24% 152 Papua New Guinea 2,320,000,000 31 December 2009 est. 366 29%
153 Kenya 7,729,000,000 31 December 2009 est. 215 24% 153 Solomon Islands 166,000,000 2004 355 44%
154 Madagascar 2,054,000,000 31 December 2009 est. 99 24% 154 Vietnam 31,000,000,000 31 December 2009 est. 355 34%
155 Malawi 1,091,000,000 31 December 2009 est. 78 24% 155 Pakistan 52,120,000,000 31 December 2009 est. 318 31%
156 Montenegro 650,000,000 2006 939 24% 156 Sierra Leone 1,610,000,000 2003 est. 311 163%
157 Ecuador 13,280,000,000 31 December 2009 est. 941 23% 157 Cambodia 4,157,000,000 31 December 2009 est. 298 38%
158 Honduras 3,315,000,000 31 December 2009 est. 423 23% 158 Guinea 3,072,000,000 31 December 2009 est. 290 70%
159 Afghanistan 2,700,000,000 2008 96 23% 159 Zambia 3,313,000,000 31 December 2009 est. 277 25%
160 Burkina Faso 1,840,000,000 31 December 2009 est. 128 23% 160 Central African Republic 1,153,000,000 2007 est. 270 68%
161 Morocco 20,060,000,000 31 December 2009 est. 633 22% 161 Azerbaijan 2,411,000,000 31 December 2009 est. 269 6%
162 Paraguay 3,220,000,000 31-Dec-09 513 22% 162 Yemen 6,245,000,000 31 December 2009 est. 264 25%
163 Senegal 2,763,000,000 31 December 2009 est. 216 22% 163 Tajikistan 1,691,000,000 31 December 2009 est. 260 34%
164 Benin 1,200,000,000 2007 135 22% 164 China 347,100,000,000 31 December 2009 est. 260 7%
165 Vanuatu 81,200,000 2004 383 22% 165 Ghana 5,840,000,000 31 December 2009 est. 253 38%
166 Taiwan 79,800,000,000 31 December 2009 est. 3,452 21% 166 Iran 18,730,000,000 31 December 2009 est. 253 6%
167 Colombia 47,330,000,000 31 December 2009 est. 1,052 21% 167 Wallis and Futuna 3,670,000 2004 244 N/A
168 Albania 1,550,000,000 2004 497 21% 168 Mali 2,800,000,000 2002 240 84%
169 Aruba 478,600,000 2005 est. 4,935 21% 169 Lesotho 581,000,000 31 December 2009 est. 233 36%
170 Mexico 177,000,000,000 31 December 2009 est. 1,646 20% 170 Senegal 2,763,000,000 31 December 2009 est. 216 22%
171 Saudi Arabia 72,450,000,000 31 December 2009 est. 2,839 20% 171 Kenya 7,729,000,000 31 December 2009 est. 215 24%
172 Guatemala 7,489,000,000 31 December 2009 est. 534 20% 172 Mozambique 4,159,000,000 31 December 2009 est. 197 42%
173 Angola 12,830,000,000 31 December 2009 est. 741 19% 173 Niue 418,000 2002 est. 196 N/A
174 India 223,900,000,000 31 December 2009 est. 187 18% 174 India 223,900,000,000 31 December 2009 est. 187 18%
175 Swaziland 534,000,000 31 December 2009 est. 520 18% 175 Niger 2,100,000,000 2003 est. 178 79%
176 Belarus 7,900,000,000 31 December 2009 est. 833 16% 176 Chad 1,600,000,000 2005 est. 177 27%
177 Egypt 28,450,000,000 31 December 2009 est. 371 15% 177 Tanzania 7,070,000,000 31 December 2009 est. 174 32%
178 Syria 7,621,000,000 31 December 2009 est. 374 15% 178 Burundi 1,200,000,000 2003 167 202%
179 Brazil 216,100,000,000 31 December 2009 est. 1,129 14% 179 Congo, Democratic Republic of the 10,000,000,000 2007 est. 164 100%
180 Oman 7,474,000,000 31 December 2009 est. 2,522 14% 180 Nepal 4,500,000,000 2009 161 36%
181 Botswana 1,651,000,000 31 December 2009 est. 910 14% 181 Fiji 127,000,000 2004 est. 150 5%
182 Kiribati 10,000,000 1999 est. 120 14% 182 Cameroon 2,929,000,000 31 December 2009 est. 147 13%
183 Venezuela 43,410,000,000 31 December 2009 est. 1,517 13% 183 Bangladesh 23,220,000,000 31 December 2009 est. 141 25%
184 Ethiopia 4,229,000,000 31 December 2009 est. 51 13% 184 Equatorial Guinea 174,000,000 31 December 2009 est. 136 1%
185 Cameroon 2,929,000,000 31 December 2009 est. 147 13% 185 Benin 1,200,000,000 2007 135 22%
186 Uganda 2,050,000,000 31 December 2009 est. 62 13% 186 Uzbekistan 3,630,000,000 31 December 2009 est. 130 11%
187 Namibia 1,184,000,000 31 December 2009 est. 569 13% 187 Burkina Faso 1,840,000,000 31 December 2009 est. 128 23%
188 Singapore 19,200,000,000 31 December 2009 est. 4,042 11% 188 Burma 7,373,000,000 31 December 2009 est. 123 27%
189 Libya 6,491,000,000 31 December 2009 est. 1,025 11% 189 Kiribati 10,000,000 1999 est. 120 14%
190 Uzbekistan 3,630,000,000 31 December 2009 est. 130 11% 190 Madagascar 2,054,000,000 31 December 2009 est. 99 24%
191 Trinidad and Tobago 2,079,000,000 31 December 2009 est. 1,589 10% 191 Algeria 3,389,000,000 31 December 2009 est. 97 2%
192 China 347,100,000,000 31 December 2009 est. 260 7% 192 Afghanistan 2,700,000,000 2008 96 23%
193 Haiti 428,000,000 31 December 2009 est. 48 7% 193 Eritrea 311,000,000 2000 est. 87 44%
194 Iran 18,730,000,000 31 December 2009 est. 253 6% 194 Malawi 1,091,000,000 31 December 2009 est. 78 24%
195 Nigeria 9,689,000,000 31 December 2009 est. 64 6% 195 Nigeria 9,689,000,000 31 December 2009 est. 64 6%
196 Azerbaijan 2,411,000,000 31 December 2009 est. 269 6% 196 Uganda 2,050,000,000 31 December 2009 est. 62 13%
197 Bahamas, The 342,600,000 2004 est. 1,067 6% 197 Ethiopia 4,229,000,000 31 December 2009 est. 51 13%
198 Fiji 127,000,000 2004 est. 150 5% 198 Haiti 428,000,000 31 December 2009 est. 48 7%
199 Algeria 3,389,000,000 31 December 2009 est. 97 2% 199 Liechtenstein 0 2001 0 N/A
200 Equatorial Guinea 174,000,000 31 December 2009 est. 136 1% 200 Palau 0 FY99/00 0 N/A
201 Brunei 0 2005 0 0% 201 Brunei 0 2005 0 0%
202 Macau 0 2009 0 0% 202 Macau 0 2009 0 0%

Poll: Czechs happy with their currency, banks

June 03, 2010 By: admin Category: Economy, International

Most Czechs believe that keeping the Czech crown is better for the country than adopting the euro, according to a survey by the Ipsos Tambor polling agency released on Thursday. Some 88 percent of those polled said that having the koruna is an advantage, which represents an increase of 25 percentage points since the previous poll in November 2008; only four percent believe the crown can bring the country economic problems. Some 88 percent of Czechs who took part in the poll also trust banks, an increase of 6 percentage points.

http://www.radio.cz/en/news   June 3, 2010

Michael Lewis, The Big Short

June 03, 2010 By: admin Category: Books

A must read to get some insight into the current fiasco. The author follows stories of a few sharp guys who saw it coming and invariably encountered dismissive opinions. Does not stress sufficiently the nefarious role of the CRA and Bill Clinton’s 1994 actions that were at the root of all the current predicament. ISBN 978-0-393-07223-5

Contribution from Lon Bishop 6-1-10

June 02, 2010 By: admin Category: Politics, Societal

What is Cap & Trade?
Obama’s campaign promise to save everyone’s home.
Read My Lips, not taxes on anyone earning less than $250,000
Obama giving away US sovernity.

Should the police be expected to earn respect just like the rest of us?

June 01, 2010 By: admin Category: Societal

An interesting episode happened this Sunday at my church.

Two rows in front of me, (sitting as usually in the last row) right on the other side of the isle was sitting a very nice gray haired lady I’ve seen in the church many times before. Next to her, right by the isle was sitting a young man, somewhere in his twenties, would be my guess. Otherwise the back rows were pretty much empty.

About half way through the ceremony, the officiating elder person invited the audience to voice their praises and submit their requests for prayers.

The gray haired lady stood up and voiced praise for her son. He just graduated from Police Academy with a 92% score, she said, and was ready to enter the police force. Naturally, any mother should be proud of her son’s accomplishments. At that point I understood that the young man, visibly in perfect physical shape, with muscles ostensibly bulging under a very light shirt, was her son. Their close behavior confirmed my guess.

Shortly after the praises and prayer requests the same elder person was presenting the main Sermon. She was filling in for the main pastor and his usual replacement, both coincidentally on vacation.

In the middle of the sermon, the young man pulls up a bottle of water and drinks. Few minutes later again. Shortly after that he seemed chewing something. I was floored. In decades, I have never seen anything like this.

Ceremony over, both mother and son get up. She goes collecting the registration books, he follows her. The water bottle left under his seat in the pew. Assisting with the coffee and cookies after the ceremony outside, I almost forgot the episode. Nice discussions with other members, almost all in their 70’s and 80’s in a sunny morning. As we packed the coffee stand and I was almost at the car, I told myself, “Did he go get that bottle?” Went back to the sanctuary. The bottle was still under the seat (Fine for littering in California is $1,000).

Picked the bottle from under the seat and brought it to the mother, son, and the father (one of other church’s elders) standing by their car. I said that in 60 (ok, almost 60, ;-) years) I have never seen such a rude behavior, i.e. food in the church. That as a police officer he should have self discipline / control (if not respect) and that in my opinion he was not qualified to be a police officer. Can he handle stressful situations police has to address in confronting real danger (gangs shootouts all too common around these areas) when his personal “creature comfort” required he remains “hydrated” during an hour service in a well air conditioned church?

If dozens of seniors in their 70’s and 80’s can show respect to the institution by not drinking (and surely they look to me much more dehydrated than the young man in full physical shape) why could not / should not he? Naturally the son started showing attitude asking me if I was a police officer and the father became strongly defensive. Opinions?

By the way, bonus question: Is cop’s life more valuable than ours? (Constitution seems to be saying something about all of us being equal, in my memory serves me well)

When a police officer is killed (in line of duty), thousands of police officers usually show at his/her funeral.

However:

When police kills a citizen (Detroit PD killing a 7 years old girl http://www.twincities.com/ci_15098364?nclick_check=1

or a LAPD cruiser speeding without lights (allegedly at over 80 miles, according to our local evening news) in Venice, California, kills ((by broad-siding her car) a 25 years old young woman driving from the side street

http://blogs.laweekly.com/ladaily/city-news/lapd-suit-devin-petelski/ – nothing.

(Officers allegedly claimed in their report that they smelled alcohol on the woman in Venice (after the accident!!!). Autopsy has shown zero alcohol in the victim. Hence filing false report.

Why does not police show at the funeral in numbers to show their respect to the victims of police brutality?

Is the police being trained with way too much arrogance and attitude and conditioned (brainwashed) into believing that they are always right and that no matter what, the system (and their partners) will always cover for them? Myths of “heroic” Judge Dredd, Dirty Harry, John McClane, etc.

The young man in my story, although barely graduated, seems to be already showing some rather disturbing characteristics (sense of “superiority”) of the entire police system. Is it limited to the United States?

Photon teleportation

June 01, 2010 By: admin Category: Science and Technology

http://www.nature.com/nphoton/journal/v4/n6/abs/nphoton.2010.87.html

It provoked some questions in my mind (below).


Nature Photonics 4, 376 – 381 (2010)
Published online: 16 May 2010 | doi:10.1038/nphoton.2010.87

Experimental free-space quantum teleportation

Xian-Min Jin1, Ji-Gang Ren1,2,3, Bin Yang1, Zhen-Huan Yi2, Fei Zhou2, Xiao-Fan Xu1, Shao-Kai Wang2, Dong Yang2, Yuan-Feng Hu1, Shuo Jiang2, Tao Yang1, Hao Yin1, Kai Chen1, Cheng-Zhi Peng2 & Jian-Wei Pan1,2


Abstract

Quantum teleportation1 is central to the practical realization of quantum communication2, 3. Although the first proof-of-principle demonstration was reported in 1997 by the Innsbruck4 and Rome groups5, long-distance teleportation has so far only been realized in fibre with lengths of hundreds of metres6, 7. An optical free-space link is highly desirable for extending the transfer distance, because of its low atmospheric absorption for certain ranges of wavelength. By following the Rome scheme5, which allows a full Bell-state measurement, we report free-space implementation of quantum teleportation over 16 km. An active feed-forward technique has been developed to enable real-time information transfer. An average fidelity of 89%, well beyond the classical limit of 2/3, is achieved. Our experiment has realized all of the non-local aspects of the original teleportation scheme and is equivalent to it up to a local unitary operation5. Our result confirms the feasibility of space-based experiments, and is an important step towards quantum-communication applications on a global scale.

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  1. Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui, 230026, PR China
  2. Physics Department, Tsinghua University, Beijing 100084, PR China
  3. These authors contributed equally to this work.

Correspondence to: Cheng-Zhi Peng2 e-mail: pcz@mail.tsinghua.edu.cn

Correspondence to: Jian-Wei Pan1,2 e-mail: pan@ustc.edu.cn

Question(s)?  Heisenberg’s Principle of Uncertainty

How do the authors demonstrate that the “change(s)” in the “remote” particle – (I guess the observed changes in the energy “state” of the remote twin photon) is/are NOT simply due to the effect of the measurement – as per Heisenberg’s Principle of Uncertainty, i.e. that the “different” state of the “doppelganger particle” is not due to the interaction between the measurement instrument and the twin photon?

Isn’t this principle / methodology precisely used in securing / verifying the integrity of encrypted messages transmitted via fiber optic lines? Isn’t the idea that any intercept of the encrypted message would result in change in the photon “status” (“state”) – and show the transmission was “hacked?”

Starting point: 1. Identity of the twin photon?  How is it established (measured?) – without disturbing it (Heisenberg)?

And then, 2. After a change was imparted to the first (local) photon, how is this precise change observed / measured / shown / demonstrated on the “remote” one, again considering Heisenberg?

(Who said “Ce qui se concoit bien, s’explique clairement” ?)


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