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Factors that affect the Dating Advantage of a Country

Discuss and talk about any general topic.

Moderators: jamesbond, fschmidt

UPDATED LIST OF LINKS AND COUNTRY RANKING

Postby i_want_a_hot_white_chick » Sat Apr 02, 2011 6:43 pm

_

LIST OF LINKS

Here are some new links for my list of links:

From Pokemon

State Penis Size Map
http://www.targetmap.com/viewer.aspx?reportId=5950

World Penis Size Map
http://www.targetmap.com/viewer.aspx?reportId=3073

World Breast Size Map
http://www.targetmap.com/viewer.aspx?reportId=5285

From RedDog

HSBC's Expat Explorer (pretty cool, and surprising)

http://www.expatexplorer.hsbc.com/#/countries

A couple more I found:

Website listing countries with Beautiful women

http://www.travelersdigest.com/countrie ... _women.htm

Percentage of Men considered attractive by country

http://www.prnewswire.com/news-releases ... 41767.html


SO HERE IS THE NEW ORGANIZED LIST


Links Related to the Appearance of the People by Country

1. Average Height of Men
http://forums.interbasket.net/f10/avera ... ated-9287/

2. Average looks of men in the country. If the men are good looking, the competition is greater.
The below link contains the percentage of people in each country considered beautiful
by Beautifulpeople.com
(to assess what you would be competing against)

http://www.prnewswire.com/news-releases ... 41767.html

3. Average looks of women in the country.
http://www.businessinsider.com/faces-of-tomorrow-2011-2

4. Percent of women who are obese
http://www.nationmaster.com/graph/hea_o ... th-obesity

5. Website listing countries with Beautiful women

http://www.travelersdigest.com/countrie ... _women.htm

6. X Rated Links - to asses how you would measure up

State Penis Size Map
http://www.targetmap.com/viewer.aspx?reportId=5950

World Penis Size Map
http://www.targetmap.com/viewer.aspx?reportId=3073

World Breast Size Map
http://www.targetmap.com/viewer.aspx?reportId=5285

7. Percentage of Blondes
http://bigthink.com/ideas/21266

8. Percent White, Black, Asian, Mestizo. Obviously, you want to go to a country where the women are the type you like.
This gives a hint by telling the percentage of each ethnic group but doesn't say what race the ethnic group is:
http://www.nationmaster.com/graph/peo_e ... nic-groups

Links Related to the Economic Circumstances in the Country

9. Per Capita GDP
http://en.wikipedia.org/wiki/List_of_co ... per_capita

10. Adjusted Per Capita GDP (adjusted for factors such as outright ownership of land)

I need to find a good link for this. Can anyone find something for this,
and I don't mean the PPP adjustment as that isn't the type of adjustment I want.

11. Cost of Living
http://www.numbeo.com/cost-of-living/
http://howmuchabroad.com/
http://www.xpatulator.com/

12. What tax rate will you have?
http://www.nationmaster.com/graph/tax_t ... -as-of-gdp
http://www.nationmaster.com/graph/tax_h ... individual

Other Factors Affecting Dating Difficulty

13. Percent of single women who are mothers.
http://www.coalpha.org/Illegitimacy-Rat ... 25898.html

14. Male / Female Ratio
This lists 15-64. I'd preferably like one that is 20 to 39 if anyone can find such a list.
http://en.wikipedia.org/wiki/List_of_co ... _sex_ratio

15. Do most of the women want player type men or provider type men?

16. Are the women financially dependent on the Men?

17. Do the people in that country dislike your race or nationality? Like a Jew should not go to Egypt.

18. How educated are the women?

19. What is the predominant religion?
http://www.nationmaster.com/graph/rel_r ... igions-all

20. Are the people very religious or is the society secular?
This lists the percentage of people who attend church:
http://www.nationmaster.com/graph/rel_c ... attendance

21. Percent of Population with HIV
http://www.globalhealthfacts.org/topic.jsp?i=3

22. If the country is multiracial, what race is in highest demand? If the women you want are scarce and in high demand, then the country might not be a good choice.

23. How close is your facial appearance to the geometric mean of the population?
It is known that people prefer those who have facial
features closer to the geometric mean of the population.

Laws and Legal System in the Country

24. Is Pro Legal?

25. Is it easy to get a visa?

26. How long does it take to get residency?

27. Is it legal to work remotely, that is for a US business while living there? What kinds of permits are needed?

28. What is the corruption level?
http://www.nationmaster.com/graph/gov_c ... corruption

29. What is the crime rate?
http://www.nationmaster.com/graph/cri_m ... per-capita

30. What kind of civil liberties protections do you have there?

31. Process to get Business Visa

Other Useful Questions and Links

32. How easy is it to learn the language?

33. Life Expectancy
http://www.nationmaster.com/graph/hea_l ... population

34. General Information:

This website has all sorts of statistics related to different countries:
http://www.nationmaster.com/statistics

From Phoenix Sosa:

CIA Factbook:
https://www.cia.gov/library/publication ... -factbook/
Male to female ratios, HIV/AIDS stats and other statistics like GDP, birth rate, literacy, etc.

From RedDog:

http://www.ifitweremyhome.com/compare/US/CH

HSBC's Expat Explorer (pretty cool, and surprising)

http://www.expatexplorer.hsbc.com/#/countries


If you have more useful links to add please let me know!

______________________________________________________________________


NEW COUNTRY RANKING


I have found new information and have adjusted the Country Difficulty Ranking as follows:


1. Adjusting for Attractiveness of Men in the Country

I have new data from BeautifulPeople.com that rates the percentage
of applicants from each country that are considered beautiful.
Obviously, countries where the men are considered handsome would
be more difficult than those where the men are considered ugly.
So I have added data from this site:

http://www.prnewswire.com/news-releases ... 41767.html

to the difficulty ranking of the countries.


2. Adjusting Per Capita GDP for Bartering and Underground Economy

It is clear from research that I have done that the countries that have very low
Per Capita GDP figures have such low figures because they have significant
underground economies and rely on barter and unreported economic activity.
Therefore, it would not be sensible to assume that, if you went to a
country with a Per Capita GDP of only $400 per year, that you would be
considered rich if you made 4 times that, or $1,600 per year or that
you would be considered average if you made $400 per year. The presence of
underground economic activity distorts these statistics. So to adjust for
this I simply added $5,000 to the Per Capita GDP of every country before
calculating the Raw Score. So if the Per Capita GDP is $3,000, then
$5,000 is added to it before calculating the raw difficulty score. This
makes sense because even rich countries like the US have some underground
economy it is just smaller as a percentage of the overall economy.

If anyone can think of a more accurate way of adjusting the Per Capita GDP
figures to account for the underground economy and unreported economic
activity, please let me know so I can make this more accurate!


3. Using Online Dating Statistics to more accurately calculate scores

Also, I have found from analyzing online dating statistics that most of the data reveal that,
in most cases, for every 3 inches in height that you lose you need to double your income to
compensate. While this doesn't work at the extremes it seems to work within the majority of
the population. It stands to reason that this would also work for ranking the difficulty of
countries. That is to say, all else equal, a country where the men are 3 inches shorter
with twice the adjusted per capita GDP would be as competitive to date in as a country where the
men are 3 inches taller with half the adjusted per capita GDP.

A country where the men:
Average 5 ft 6 in and where the adjusted per capita GDP is $20,000
would be as difficult as a country where the men:
Average 5 ft 9 in and where the adjusted per capita GDP is $10,000.

Here is the calculation

Column A is the Country Name

Column B is the Average Male Height

Column C is the Per Capita GDP

Column D is the Gender Ratio Males / Females

Column E is the Religious Fundamentalism Adjustment.
_______Twenty points are added to the Fundamentalist Countries like:
_______Iran, Syria, Egypt, Iraq, Pakistan, India, and North Korea.

Column F is the Percent of Men Considered Very Attractive from BeautifulPeople.com
http://www.prnewswire.com/news-releases ... 41767.html
_______Where the percent is listed, it is included.
_______Most countries had no data so I just used the average of 20% for those countries.

Column G is the raw difficulty score. It is calculated by summing up 1 through 5 below.

1. Average Male Height in inches.
_____In other words, 1 point of difficulty is added for each increase in the Average Male Height.

2. Log base 2^(1/3) of the (Per Capita GDP + 5000)
_____(For example, if the per capita is $11,400, you would add $5,000 giving and adjusted
_____Per Capita GDP of $16,400. The Log base 2^(1/3) of that is 42
_____(use the formula in excel [ =LOG(16400,2^(1/3))]
_____If the Per Capita GDP is $3,200, you would add $5,000 giving an adjusted
_____Per Capita GDP of $8,200. Putting $8,200 in the formula gives a result of 39.
_____So, In other words, 3 points point is added for each doubling of:
_____the (Per Capita GDP + 5000).

3. The gender ratio times 20.
_____In other words, for each increase of 0.05 in the Gender Ratio and additional
_____difficulty point is added. A ratio of 1.05 is 1 point harder than a ratio of 1.00.

4. The adjustment factor for fundamentalist or religious countries like those listed above.
_____Iran, Syria, Egypt, Iraq, Pakistan, India, and North Korea had 20 points
_____added and all others had 0 points added.

5. The percent of Men considered very attractive from BeautifulPeople.com * 25.
_____For example, 28% of the men from Argentina who applied at BeautifulPeople.com
_____were accepted. 28% * 25 = 7, so 7 points are added to
_____Argentina's raw difficulty score.

Column H is the adjusted difficulty score. It is simply the
raw difficulty score fit into the range from 0.1 to 9.9.

Here is the new Ranking

Easy Countries - Adjusted Scores Below 3.0

|A)Cambodia_____|B)_64.0_|C)_____800_|D)_0.95_|E)__0_|F)_20_|G)_125.5_|H)_0.1_|
|A)Vietnam______|B)_65.0_|C)___1,100_|D)_0.99_|E)__0_|F)_20_|G)_127.5_|H)_0.8_|
|A)Philippines__|B)_64.6_|C)___1,900_|D)_1.00_|E)__0_|F)_20_|G)_127.9_|H)_0.9_|
|A)Indonesia____|B)_64.2_|C)___2,900_|D)_1.01_|E)__0_|F)_20_|G)_128.2_|H)_1.0_|
|A)Malawi_______|B)_66.1_|C)_____300_|D)_1.01_|E)__0_|F)_20_|G)_128.4_|H)_1.1_|
|A)Sri Lanka____|B)_66.1_|C)___2,200_|D)_0.96_|E)__0_|F)_20_|G)_128.7_|H)_1.2_|
|A)Nigeria______|B)_65.7_|C)___1,400_|D)_1.04_|E)__0_|F)_20_|G)_129.4_|H)_1.4_|
|A)Gambia_______|B)_67.7_|C)_____400_|D)_0.98_|E)__0_|F)_20_|G)_129.5_|H)_1.4_|
|A)Mongolia_____|B)_66.5_|C)___1,900_|D)_1.00_|E)__0_|F)_20_|G)_129.8_|H)_1.5_|
|A)Ghana________|B)_67.5_|C)_____600_|D)_1.00_|E)__0_|F)_20_|G)_129.9_|H)_1.5_|
|A)Cameroon_____|B)_67.6_|C)___1,100_|D)_1.01_|E)__0_|F)_20_|G)_130.5_|H)_1.8_|
|A)Peru_________|B)_65.5_|C)___5,100_|D)_1.01_|E)__0_|F)_20_|G)_130.6_|H)_1.8_|
|A)Thailand_____|B)_66.5_|C)___4,600_|D)_0.98_|E)__0_|F)_20_|G)_130.8_|H)_1.9_|
|A)Mali_________|B)_68.7_|C)_____600_|D)_0.99_|E)__0_|F)_20_|G)_130.9_|H)_1.9_|
|A)Paraguay_____|B)_67.1_|C)___2,700_|D)_1.01_|E)__0_|F)_20_|G)_131.0_|H)_1.9_|
|A)Senegal______|B)_68.9_|C)_____900_|D)_0.98_|E)__0_|F)_20_|G)_131.1_|H)_2.0_|
|A)Côted'Ivoire_|B)_67.8_|C)___1,100_|D)_1.04_|E)__0_|F)_20_|G)_131.3_|H)_2.0_|
|A)Mexico_______|B)_66.6_|C)___9,000_|D)_0.94_|E)__0_|F)_20_|G)_131.7_|H)_2.2_|
|A)Uzbekistan___|B)_69.1_|C)___1,300_|D)_0.99_|E)__0_|F)_20_|G)_131.8_|H)_2.2_|
|A)Ukraine______|B)_69.5_|C)___3,000_|D)_0.92_|E)__0_|F)_20_|G)_131.8_|H)_2.2_|
|A)Colombia_____|B)_67.4_|C)___6,400_|D)_0.95_|E)__0_|F)_20_|G)_131.8_|H)_2.2_|
|A)Morocco______|B)_68.0_|C)___2,900_|D)_1.00_|E)__0_|F)_20_|G)_131.8_|H)_2.2_|
|A)Russia_______|B)_69.4_|C)__10,600_|D)_0.92_|E)__0_|F)__9_|G)_131.8_|H)_2.2_|
|A)Malaysia_____|B)_66.3_|C)___7,700_|D)_1.01_|E)__0_|F)_20_|G)_132.4_|H)_2.4_|
|A)Tunisia______|B)_67.8_|C)___4,100_|D)_1.01_|E)__0_|F)_20_|G)_132.5_|H)_2.4_|
|A)China________|B)_67.6_|C)___4,300_|D)_1.06_|E)__0_|F)_17_|G)_132.6_|H)_2.5_|
|A)Jamaica______|B)_68.6_|C)___4,800_|D)_0.97_|E)__0_|F)_20_|G)_132.8_|H)_2.5_|
|A)Algeria______|B)_67.8_|C)___4,600_|D)_1.02_|E)__0_|F)_20_|G)_132.9_|H)_2.6_|
|A)Azerbaijan___|B)_68.5_|C)___6,200_|D)_0.96_|E)__0_|F)_20_|G)_133.1_|H)_2.6_|
|A)Venezuela____|B)_67.1_|C)__10,400_|D)_0.97_|E)__0_|F)_20_|G)_133.2_|H)_2.7_|
|A)South Africa_|B)_67.7_|C)___7,200_|D)_1.02_|E)__0_|F)_20_|G)_133.8_|H)_2.9_|
|A)Romania______|B)_68.5_|C)___7,200_|D)_0.99_|E)__0_|F)_20_|G)_134.0_|H)_2.9_|

Middle Countries - Adjusted Scores Between 3.0 and 5.5

|A)Poland_______|B)_70.2_|C)__11,400_|D)_0.99_|E)__0_|F)__9_|G)_134.3_|H)_3.0_|
|A)Lebanon______|B)_69.4_|C)___9,500_|D)_0.92_|E)__0_|F)_20_|G)_134.3_|H)_3.0_|
|A)Chile________|B)_67.3_|C)__11,800_|D)_1.00_|E)__0_|F)_20_|G)_134.4_|H)_3.1_|
|A)Lithuania____|B)_69.4_|C)__10,100_|D)_0.96_|E)__0_|F)_20_|G)_135.3_|H)_3.3_|
|A)Uruguay______|B)_68.4_|C)__11,600_|D)_0.99_|E)__0_|F)_20_|G)_135.3_|H)_3.4_|
|A)Serbia_______|B)_70.3_|C)___5,300_|D)_1.00_|E)__0_|F)_20_|G)_135.3_|H)_3.4_|
|A)Turkey_______|B)_69.3_|C)___9,400_|D)_1.02_|E)__0_|F)_20_|G)_136.1_|H)_3.6_|
|A)Argentina____|B)_68.3_|C)___8,500_|D)_1.00_|E)__0_|F)_28_|G)_136.5_|H)_3.8_|
|A)Hungary______|B)_69.8_|C)__13,200_|D)_0.97_|E)__0_|F)_20_|G)_136.7_|H)_3.8_|
|A)Estonia______|B)_70.7_|C)__14,800_|D)_0.91_|E)__0_|F)_20_|G)_136.7_|H)_3.8_|
|A)Taiwan_______|B)_68.0_|C)__18,500_|D)_1.02_|E)__0_|F)_20_|G)_137.0_|H)_3.9_|
|A)Hong Kong____|B)_67.8_|C)__31,900_|D)_0.94_|E)__0_|F)_20_|G)_137.1_|H)_4.0_|
|A)South Korea__|B)_68.6_|C)__20,300_|D)_1.04_|E)__0_|F)_18_|G)_137.8_|H)_4.2_|
|A)Singapore____|B)_67.2_|C)__46,200_|D)_0.95_|E)__0_|F)_20_|G)_138.1_|H)_4.3_|
|A)Croatia______|B)_70.9_|C)__13,400_|D)_0.99_|E)__0_|F)_20_|G)_138.2_|H)_4.3_|
|A)Japan________|B)_67.8_|C)__42,500_|D)_1.02_|E)__0_|F)_15_|G)_138.6_|H)_4.5_|
|A)UK___________|B)_70.0_|C)__36,200_|D)_1.03_|E)__0_|F)_12_|G)_139.6_|H)_4.8_|
|A)Brazil_______|B)_67.4_|C)__10,100_|D)_0.98_|E)__0_|F)_45_|G)_139.9_|H)_4.9_|
|A)Israel_______|B)_69.4_|C)__27,300_|D)_1.03_|E)__0_|F)_20_|G)_139.9_|H)_4.9_|
|A)Greece_______|B)_70.0_|C)__28,000_|D)_1.00_|E)__0_|F)_20_|G)_140.0_|H)_4.9_|
|A)Czech Rep____|B)_71.2_|C)__19,100_|D)_1.01_|E)__0_|F)_20_|G)_140.1_|H)_5.0_|
|A)New Zealand__|B)_69.9_|C)__32,400_|D)_1.00_|E)__0_|F)_20_|G)_140.5_|H)_5.1_|
|A)Spain________|B)_68.9_|C)__29,600_|D)_1.01_|E)__0_|F)_25_|G)_140.6_|H)_5.1_|
|A)France_______|B)_69.3_|C)__39,400_|D)_1.00_|E)__0_|F)_20_|G)_140.6_|H)_5.1_|
|A)Slovenia_____|B)_71.0_|C)__23,100_|D)_1.02_|E)__0_|F)_20_|G)_140.7_|H)_5.2_|
|A)Portugal_____|B)_68.3_|C)__20,800_|D)_0.99_|E)__0_|F)_37_|G)_141.3_|H)_5.4_|
|A)Ireland______|B)_69.7_|C)__44,100_|D)_1.00_|E)__0_|F)_20_|G)_141.5_|H)_5.4_|

Difficult Countries - Adjusted Scores Greater than or Equal to 5.5

|A)Germany______|B)_71.0_|C)__40,200_|D)_1.04_|E)__0_|F)_15_|G)_141.9_|H)_5.6_|
|A)Belgium______|B)_70.1_|C)__44,300_|D)_1.02_|E)__0_|F)_20_|G)_142.3_|H)_5.7_|
|A)Canada_______|B)_69.4_|C)__46,300_|D)_1.02_|E)__0_|F)_23_|G)_142.5_|H)_5.8_|
|A)Austria______|B)_70.6_|C)__44,600_|D)_1.01_|E)__0_|F)_20_|G)_142.6_|H)_5.8_|
|A)USA__________|B)_69.9_|C)__47,100_|D)_1.00_|E)__0_|F)_24_|G)_142.9_|H)_5.9_|
|A)Bahrain______|B)_66.0_|C)__29,400_|D)_1.34_|E)__0_|F)_20_|G)_143.0_|H)_5.9_|
|A)Finland______|B)_70.9_|C)__44,100_|D)_1.02_|E)__0_|F)_20_|G)_143.1_|H)_5.9_|
|A)Iceland______|B)_71.5_|C)__41,300_|D)_1.02_|E)__0_|F)_20_|G)_143.4_|H)_6.1_|
|A)Australia____|B)_70.5_|C)__56,700_|D)_1.03_|E)__0_|F)_20_|G)_143.8_|H)_6.2_|
|A)Switzerland__|B)_70.1_|C)__68,500_|D)_1.02_|E)__0_|F)_20_|G)_144.0_|H)_6.3_|
|A)Italy________|B)_68.8_|C)__35,100_|D)_1.03_|E)__0_|F)_39_|G)_145.0_|H)_6.6_|
|A)Netherlands__|B)_72.8_|C)__45,900_|D)_1.02_|E)__0_|F)_20_|G)_145.1_|H)_6.6_|
|A)Luxembourg___|B)_70.8_|C)_105,400_|D)_1.02_|E)__0_|F)_20_|G)_146.5_|H)_7.1_|
|A)North Korea__|B)_65.4_|C)___1,200_|D)_0.98_|E)_20_|F)_18_|G)_147.3_|H)_7.3_|
|A)India________|B)_64.8_|C)___1,200_|D)_1.06_|E)_20_|F)_15_|G)_147.5_|H)_7.4_|
|A)Norway_______|B)_71.0_|C)__88,400_|D)_1.03_|E)__0_|F)_28_|G)_148.1_|H)_7.6_|
|A)Denmark______|B)_71.3_|C)__55,200_|D)_1.01_|E)__0_|F)_40_|G)_149.1_|H)_8.0_|
|A)Iraq_________|B)_65.9_|C)___2,800_|D)_1.03_|E)_20_|F)_20_|G)_150.3_|H)_8.3_|
|A)Pakistan_____|B)_66.7_|C)___1,000_|D)_1.05_|E)_20_|F)_20_|G)_150.4_|H)_8.3_|
|A)Egypt________|B)_67.8_|C)___2,700_|D)_1.02_|E)_20_|F)_20_|G)_151.9_|H)_8.9_|
|A)Syria________|B)_68.1_|C)___2,700_|D)_1.05_|E)_20_|F)_20_|G)_152.8_|H)_9.2_|
|A)Iran_________|B)_68.3_|C)___4,400_|D)_1.02_|E)_20_|F)_20_|G)_153.3_|H)_9.3_|
|A)Sweden_______|B)_70.9_|C)__49,000_|D)_1.03_|E)__0_|F)_65_|G)_154.9_|H)_9.9_|


Here are the raw scores in each category to show how this is calculated

Column A - is the Country Name

Column B - is the Height Score

Column C - is the Per Capita GDP Score

Column D - is the Gender Ratio Score

Column E - is the Religious Fundamentalism Adjustment Score

Column F - is the Male Attractiveness Score

Column G - is the Raw Difficulty Score

Column H - is the Overall Difficulty Score

Easy Countries - Adjusted Scores Below 3.0

|A)Cambodia_____|B)_64.0_|C)_37.51_|D)_19.0_|E)__0_|F)__5.00_|G)_125.5_|H)_0.1_|
|A)Vietnam______|B)_65.0_|C)_37.72_|D)_19.8_|E)__0_|F)__5.00_|G)_127.5_|H)_0.8_|
|A)Philippines__|B)_64.6_|C)_38.26_|D)_20.0_|E)__0_|F)__5.00_|G)_127.9_|H)_0.9_|
|A)Indonesia____|B)_64.2_|C)_38.84_|D)_20.2_|E)__0_|F)__5.00_|G)_128.2_|H)_1.0_|
|A)Malawi_______|B)_66.1_|C)_37.12_|D)_20.2_|E)__0_|F)__5.00_|G)_128.4_|H)_1.1_|
|A)Sri Lanka____|B)_66.1_|C)_38.44_|D)_19.2_|E)__0_|F)__5.00_|G)_128.7_|H)_1.2_|
|A)Nigeria______|B)_65.7_|C)_37.93_|D)_20.8_|E)__0_|F)__5.00_|G)_129.4_|H)_1.4_|
|A)Gambia_______|B)_67.7_|C)_37.20_|D)_19.6_|E)__0_|F)__5.00_|G)_129.5_|H)_1.4_|
|A)Mongolia_____|B)_66.5_|C)_38.26_|D)_20.0_|E)__0_|F)__5.00_|G)_129.8_|H)_1.5_|
|A)Ghana________|B)_67.5_|C)_37.35_|D)_20.0_|E)__0_|F)__5.00_|G)_129.9_|H)_1.5_|
|A)Cameroon_____|B)_67.6_|C)_37.72_|D)_20.2_|E)__0_|F)__5.00_|G)_130.5_|H)_1.8_|
|A)Peru_________|B)_65.5_|C)_39.91_|D)_20.2_|E)__0_|F)__5.00_|G)_130.6_|H)_1.8_|
|A)Thailand_____|B)_66.5_|C)_39.69_|D)_19.6_|E)__0_|F)__5.00_|G)_130.8_|H)_1.9_|
|A)Mali_________|B)_68.7_|C)_37.35_|D)_19.8_|E)__0_|F)__5.00_|G)_130.9_|H)_1.9_|
|A)Paraguay_____|B)_67.1_|C)_38.73_|D)_20.2_|E)__0_|F)__5.00_|G)_131.0_|H)_1.9_|
|A)Senegal______|B)_68.9_|C)_37.58_|D)_19.6_|E)__0_|F)__5.00_|G)_131.1_|H)_2.0_|
|A)Côted'Ivoire_|B)_67.8_|C)_37.72_|D)_20.8_|E)__0_|F)__5.00_|G)_131.3_|H)_2.0_|
|A)Mexico_______|B)_66.6_|C)_41.32_|D)_18.8_|E)__0_|F)__5.00_|G)_131.7_|H)_2.2_|
|A)Uzbekistan___|B)_69.1_|C)_37.86_|D)_19.8_|E)__0_|F)__5.00_|G)_131.8_|H)_2.2_|
|A)Ukraine______|B)_69.5_|C)_38.90_|D)_18.4_|E)__0_|F)__5.00_|G)_131.8_|H)_2.2_|
|A)Colombia_____|B)_67.4_|C)_40.43_|D)_19.0_|E)__0_|F)__5.00_|G)_131.8_|H)_2.2_|
|A)Morocco______|B)_68.0_|C)_38.84_|D)_20.0_|E)__0_|F)__5.00_|G)_131.8_|H)_2.2_|
|A)Russia_______|B)_69.4_|C)_41.79_|D)_18.4_|E)__0_|F)__2.25_|G)_131.8_|H)_2.2_|
|A)Malaysia_____|B)_66.3_|C)_40.90_|D)_20.2_|E)__0_|F)__5.00_|G)_132.4_|H)_2.4_|
|A)Tunisia______|B)_67.8_|C)_39.45_|D)_20.2_|E)__0_|F)__5.00_|G)_132.5_|H)_2.4_|
|A)China________|B)_67.6_|C)_39.55_|D)_21.2_|E)__0_|F)__4.25_|G)_132.6_|H)_2.5_|
|A)Jamaica______|B)_68.6_|C)_39.78_|D)_19.4_|E)__0_|F)__5.00_|G)_132.8_|H)_2.5_|
|A)Algeria______|B)_67.8_|C)_39.69_|D)_20.4_|E)__0_|F)__5.00_|G)_132.9_|H)_2.6_|
|A)Azerbaijan___|B)_68.5_|C)_40.35_|D)_19.2_|E)__0_|F)__5.00_|G)_133.1_|H)_2.6_|
|A)Venezuela____|B)_67.1_|C)_41.73_|D)_19.4_|E)__0_|F)__5.00_|G)_133.2_|H)_2.7_|
|A)South Africa_|B)_67.7_|C)_40.72_|D)_20.4_|E)__0_|F)__5.00_|G)_133.8_|H)_2.9_|
|A)Romania______|B)_68.5_|C)_40.72_|D)_19.8_|E)__0_|F)__5.00_|G)_134.0_|H)_2.9_|

Middle Countries - Adjusted Scores Between 3.0 and 5.5

|A)Poland_______|B)_70.2_|C)_42.00_|D)_19.8_|E)__0_|F)__2.25_|G)_134.3_|H)_3.0_|
|A)Lebanon______|B)_69.4_|C)_41.47_|D)_18.4_|E)__0_|F)__5.00_|G)_134.3_|H)_3.0_|
|A)Chile________|B)_67.3_|C)_42.11_|D)_20.0_|E)__0_|F)__5.00_|G)_134.4_|H)_3.1_|
|A)Lithuania____|B)_69.4_|C)_41.65_|D)_19.2_|E)__0_|F)__5.00_|G)_135.3_|H)_3.3_|
|A)Uruguay______|B)_68.4_|C)_42.06_|D)_19.8_|E)__0_|F)__5.00_|G)_135.3_|H)_3.4_|
|A)Serbia_______|B)_70.3_|C)_39.99_|D)_20.0_|E)__0_|F)__5.00_|G)_135.3_|H)_3.4_|
|A)Turkey_______|B)_69.3_|C)_41.44_|D)_20.4_|E)__0_|F)__5.00_|G)_136.1_|H)_3.6_|
|A)Argentina____|B)_68.3_|C)_41.16_|D)_20.0_|E)__0_|F)__7.00_|G)_136.5_|H)_3.8_|
|A)Hungary______|B)_69.8_|C)_42.45_|D)_19.4_|E)__0_|F)__5.00_|G)_136.7_|H)_3.8_|
|A)Estonia______|B)_70.7_|C)_42.82_|D)_18.2_|E)__0_|F)__5.00_|G)_136.7_|H)_3.8_|
|A)Taiwan_______|B)_68.0_|C)_43.56_|D)_20.4_|E)__0_|F)__5.00_|G)_137.0_|H)_3.9_|
|A)Hong Kong____|B)_67.8_|C)_45.51_|D)_18.8_|E)__0_|F)__5.00_|G)_137.1_|H)_4.0_|
|A)South Korea__|B)_68.6_|C)_43.88_|D)_20.8_|E)__0_|F)__4.50_|G)_137.8_|H)_4.2_|
|A)Singapore____|B)_67.2_|C)_46.93_|D)_19.0_|E)__0_|F)__5.00_|G)_138.1_|H)_4.3_|
|A)Croatia______|B)_70.9_|C)_42.50_|D)_19.8_|E)__0_|F)__5.00_|G)_138.2_|H)_4.3_|
|A)Japan________|B)_67.8_|C)_46.61_|D)_20.4_|E)__0_|F)__3.75_|G)_138.6_|H)_4.5_|
|A)UK___________|B)_70.0_|C)_45.99_|D)_20.6_|E)__0_|F)__3.00_|G)_139.6_|H)_4.8_|
|A)Brazil_______|B)_67.4_|C)_41.65_|D)_19.6_|E)__0_|F)_11.25_|G)_139.9_|H)_4.9_|
|A)Israel_______|B)_69.4_|C)_44.94_|D)_20.6_|E)__0_|F)__5.00_|G)_139.9_|H)_4.9_|
|A)Greece_______|B)_70.0_|C)_45.03_|D)_20.0_|E)__0_|F)__5.00_|G)_140.0_|H)_4.9_|
|A)Czech Rep____|B)_71.2_|C)_43.67_|D)_20.2_|E)__0_|F)__5.00_|G)_140.1_|H)_5.0_|
|A)New Zealand__|B)_69.9_|C)_45.57_|D)_20.0_|E)__0_|F)__5.00_|G)_140.5_|H)_5.1_|
|A)Spain________|B)_68.9_|C)_45.24_|D)_20.2_|E)__0_|F)__6.25_|G)_140.6_|H)_5.1_|
|A)France_______|B)_69.3_|C)_46.31_|D)_20.0_|E)__0_|F)__5.00_|G)_140.6_|H)_5.1_|
|A)Slovenia_____|B)_71.0_|C)_44.33_|D)_20.4_|E)__0_|F)__5.00_|G)_140.7_|H)_5.2_|
|A)Portugal_____|B)_68.3_|C)_43.97_|D)_19.8_|E)__0_|F)__9.25_|G)_141.3_|H)_5.4_|
|A)Ireland______|B)_69.7_|C)_46.75_|D)_20.0_|E)__0_|F)__5.00_|G)_141.5_|H)_5.4_|

Difficult Countries - Adjusted Scores Greater than or Equal to 5.5

|A)Germany______|B)_71.0_|C)_46.39_|D)_20.8_|E)__0_|F)__3.75_|G)_141.9_|H)_5.6_|
|A)Belgium______|B)_70.1_|C)_46.77_|D)_20.4_|E)__0_|F)__5.00_|G)_142.3_|H)_5.7_|
|A)Canada_______|B)_69.4_|C)_46.94_|D)_20.4_|E)__0_|F)__5.75_|G)_142.5_|H)_5.8_|
|A)Austria______|B)_70.6_|C)_46.79_|D)_20.2_|E)__0_|F)__5.00_|G)_142.6_|H)_5.8_|
|A)USA__________|B)_69.9_|C)_47.01_|D)_20.0_|E)__0_|F)__6.00_|G)_142.9_|H)_5.9_|
|A)Bahrain______|B)_66.0_|C)_45.21_|D)_26.8_|E)__0_|F)__5.00_|G)_143.0_|H)_5.9_|
|A)Finland______|B)_70.9_|C)_46.75_|D)_20.4_|E)__0_|F)__5.00_|G)_143.1_|H)_5.9_|
|A)Iceland______|B)_71.5_|C)_46.50_|D)_20.4_|E)__0_|F)__5.00_|G)_143.4_|H)_6.1_|
|A)Australia____|B)_70.5_|C)_47.74_|D)_20.6_|E)__0_|F)__5.00_|G)_143.8_|H)_6.2_|
|A)Switzerland__|B)_70.1_|C)_48.50_|D)_20.4_|E)__0_|F)__5.00_|G)_144.0_|H)_6.3_|
|A)Italy________|B)_68.8_|C)_45.87_|D)_20.6_|E)__0_|F)__9.75_|G)_145.0_|H)_6.6_|
|A)Netherlands__|B)_72.8_|C)_46.91_|D)_20.4_|E)__0_|F)__5.00_|G)_145.1_|H)_6.6_|
|A)Luxembourg___|B)_70.8_|C)_50.26_|D)_20.4_|E)__0_|F)__5.00_|G)_146.5_|H)_7.1_|
|A)North Korea__|B)_65.4_|C)_37.79_|D)_19.6_|E)_20_|F)__4.50_|G)_147.3_|H)_7.3_|
|A)India________|B)_64.8_|C)_37.79_|D)_21.2_|E)_20_|F)__3.75_|G)_147.5_|H)_7.4_|
|A)Norway_______|B)_71.0_|C)_49.53_|D)_20.6_|E)__0_|F)__7.00_|G)_148.1_|H)_7.6_|
|A)Denmark______|B)_71.3_|C)_47.63_|D)_20.2_|E)__0_|F)_10.00_|G)_149.1_|H)_8.0_|
|A)Iraq_________|B)_65.9_|C)_38.79_|D)_20.6_|E)_20_|F)__5.00_|G)_150.3_|H)_8.3_|
|A)Pakistan_____|B)_66.7_|C)_37.65_|D)_21.0_|E)_20_|F)__5.00_|G)_150.4_|H)_8.3_|
|A)Egypt________|B)_67.8_|C)_38.73_|D)_20.4_|E)_20_|F)__5.00_|G)_151.9_|H)_8.9_|
|A)Syria________|B)_68.1_|C)_38.73_|D)_21.0_|E)_20_|F)__5.00_|G)_152.8_|H)_9.2_|
|A)Iran_________|B)_68.3_|C)_39.60_|D)_20.4_|E)_20_|F)__5.00_|G)_153.3_|H)_9.3_|
|A)Sweden_______|B)_70.9_|C)_47.16_|D)_20.6_|E)__0_|F)_16.25_|G)_154.9_|H)_9.9_|

_
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Postby odbo » Sat Apr 02, 2011 9:56 pm

http://static2.businessinsider.com/imag ... /faces.jpg
very silly and innacurate on very many levels! :)
Image
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Postby well-informed » Sun Apr 03, 2011 12:09 am

Oh really can you do better then.... uuh probably not Linux. He's taking action, researching, posting useful data for OUR benefit ; you well you just whine a lot to be quite honest. Linux be useful in this board or else STFU because all you seem to do is COMPLAIN. THE SEAL OF APPROVAL DOESN'T GO THROUGH YOU. I'm not even of 21 and i'm getting tired of your whiny mentality :D
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Postby LarryLaffer » Mon Aug 08, 2011 11:56 pm

Here are some more links you can add:

LEARNING A LANGUAGE

momopi - length of time for an English speaker to learn a language
The US Department of State, Foreign Service Institute (FSI) has compiled a list of 63 languages into 3 categories for length of instruction. CAT I = 6 months, CAT II = 1 year, and CAT III = 2 years:

http://en.wikibooks.org/wiki/Wikibooks: ... h_Speakers

Jackal - number of people speaking each language
http://en.wikipedia.org/wiki/List_of_mo ... untries%29
http://en.wikipedia.org/wiki/List_of_la ... e_speakers


OBESITY RATES

newlife - list of countries by obesity level
http://www.forbes.com/2007/02/07/worlds ... fat_2.html


SAFETY OVERSEAS

Civil and Political Liberties:
http://www.nationmaster.com/graph/dem_c ... -liberties

Prisoners:
http://www.nationmaster.com/graph/cri_p ... per-capita

How Free is the Country:
http://www.freedomhouse.org/template.cf ... &year=2011
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Its great you are putting alot of thought into your future..

Postby polya » Thu Aug 11, 2011 8:46 am

Its great you are putting alot of thought into your future. The problem is there's lots of things about each country that you won't realise until you are there. For example, if you go to Russia & don't look European, you'll be harassed/fined by local Police every day looking at your passport. If you go to a poor country like Turkey, you'll be harassed by people on the street trying to sell you things, or taxi drivers ripping you off. All these little/large problems will really sour your trip & make you negative to the local women. Ideally, you should be able go to 2-3 countries and live in eachone for 3 months (preferably outside of the capital city - as girls in there, think they are better than you) to really see how girls are. This won't be cheap and you may not be able to do it at once, but its really the only way to experience life there.
"Woman is a violent and uncontrolled animal... If you allow them to achieve complete equality with men, do you think they will be easier to live with? Not at all. Once they have achieved equality, they will be your masters." Cato the Elder
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Postby Grunt » Thu Aug 11, 2011 12:13 pm

Shut your f***ing face, and get your monkey ass on the plane. That is all I would add. Other than that it is great advice, but only if you ignore everything but what I said.

That about wraps it up. Next topic!
How to deal with newbies that talk much but do little.

Pics or it didn't happen.

YES/NO

Cool story, bro.

Problem solved.
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Postby Free » Fri Aug 19, 2011 5:12 am

Original Poster, great contribution! This has to be the most extensive list in this regard on the net! Great work!
I'd vote it to be a sticky. How about it Winston?
"Give me liberty or give me death" - Patrick Henry
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I Added this to the FAQ thread

Postby LarryLaffer » Sat Aug 20, 2011 5:57 pm

Free wrote:Original Poster, great contribution! This has to be the most extensive list in this regard on the net! Great work!
I'd vote it to be a sticky. How about it Winston?


I agree, Free.

This thread was very useful in helping me research different countries.

I added most of the links to the FAQ thread so that I can find them easily.

http://www.happierabroad.com/forum/view ... hp?t=10859
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Postby Winston » Sun Nov 13, 2011 7:19 am

Hi all,
Larry Laffer told me that he can't come to this forum anymore, unfortunately. So he wanted me to add these statistical charts of factors in global dating that he created in this thread. Here is his explanation for how he came up with these stats.

LarryLaffer:

"I discovered the idea of creating a difficulty score elsewhere in this forum. However, the current calculation is my own. It is based on statistics from online dating sites. For example, if you analyze online dating statistics, an increase of 3 inches of height, on average, increases dating success as much as a doubling of income. So, therefore, it logically follows that a country with an adjusted per capita GDP of say, $20,000 per year after adjusting for the black market and underground economy and where the average adult man is 5 ft 8 in tall would be just as difficult, all else equal, to a country with an adjusted per capita GDP of $10,000 per year but where the average adult man is 5 ft 11 in tall.

Country A - Adjusted Per Capita GDP of $20,000 - Average Male Height of 5 ft 8 in.

Should, all else equal, be as difficult as:

Country B - Adjusted Per Capita GDP of $10,000 - Average Male Height of 5 ft 11 in.

Does that make sense? Also, gender ratios and statistics of facial attractiveness from Beautifulpeople.com were used in the calculations. To see the full explaination, read section 4a of my post."

His charts:

Image

Image

Image

Image

Thanks, and I hope Larry Laffer can return to this forum someday.

Winston
Check out the latest posts in our blog The Happier Abroaders.

Don't forget my HA Grand Ebook and Dating Sites!

"It takes far less effort to find and move to the society that has what you want than it does to try to reconstruct an existing society to match your standards." - Harry Browne, How I Found Freedom in an Unfree World
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Excellent Work

Postby Guyver » Mon Nov 14, 2011 2:23 am

I must say, I am impressed with the amount of effort, accuracy, and organization that went into all of this data. Thank you to each of you involved for giving us a better idea of which countries to start looking for a new life.
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acceptance

Postby targetguy » Mon Nov 14, 2011 3:16 am

8) The pi people seem to accept a lot of different people short, fat, mixed etc. The determining factor is economics. Some countries may be better then others but as far as acceptance of people the pi has a lot of torlerance there. That is why many here may not find what they want here or some other countries but can find the right person there. As long as they have a income is all that seems to count and good character.
no scammers
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Charts should include their explanation

Postby LarryLaffer » Sat Dec 03, 2011 4:31 am

Thanks Winston. But the charts should be put in with their explanation, as they are in the FAQ, like this:

_________________________________________________________________________

4. THE COUNTRY DATING DIFFICULTY SCORE



-> 4a. EXPLANATION OF THE COUNTRY DATING DIFFICULTY SCORE


The Country Dating Difficulty Score is an attempt to calculate how difficult it would be for a guy to
find a long term girlfriend or wife in the given country provided that he was able to adapt to the
culture, learn the language, and be accepted by the people who live there.

This score is calculated using 4 values:

1. The average height of an adult male.
2. The nominal per capita GDP.
3. The gender ratio (number of males divided by the number of females).
4. The percent of men who applied to Beautifulpeople.com from that country who were accepted. This is used to estimate male facial attractiveness.

Statistics from studies of online dating were used to determine the relative impact of
height, income, the gender ratio, and male facial attractiveness to dating success.

There are 3 things that I discovered from the analysis of online dating statistics that were used
to determine how the Country Dating Difficulty Score was to be calculated:

1. Each doubling of income equals 3 inches of height.

From analyzing online dating statistics, it appears that, on average,
a man has to double his income for every 3 inches of height that he loses.

For example:
A 5 ft 9 in tall man has to make about 2 times as much as a 6 ft 0 in tall guy
does to have the same success in online dating and
a 5 ft 6 in tall man has to make about 4 times as much as a 6 ft 0 in tall guy.

Therefore, it logically follows that a country where the guys are 3 inches taller
but have half the income, after adjusting for the underground economy, would be as difficult,
all else equal, to a country where the men are 3 inches shorter but have twice the income.

2. Each change of 0.05 in the Gender Ratio equals 1 inch of height.

From analyzing online dating statistics, it appears that, on average,
if a man moves to a city with a gender ratio 0.05 lower, his success in dating
increases about as much as if he were to grow 1 inch taller.

For example:
If a 5 ft 9 in man moved from a city with a gender ratio of 1.02
(102 men for every 100 women) to a city with a gender ratio of 0.97 (97 men for every 100 women)
his dating success would increase as much as if he were to grow to 5 ft 10 in tall.

3. Each standard deviation change in facial attractiveness equals 2.5 inches of height.

It appears that, on average, a one standard deviation change in facial attractiveness is the
equivalent of a 2.5 inch change in height.

For example:
A 5 ft 9.5 in tall guy whose facial attractiveness is 1 Standard Deviation above the average
(that is, at the 84th percentile) has about the same level of success in online dating as a
guy who is 6 ft 0 in tall and whose facial attractiveness is exactly average
(that is, at the 50th percentile).


IMPORTANT NOTES ABOUT THE COUNTRY DATING DIFFICULTY SCORE

NOTE 1. This data is from Mid 2011. As the underlying statistics change, so would the difficulty scores.

NOTE 2. To use the formulas in red, copy them into Microsoft Excel, put the values in where it says [COL ?],
then remove the square end brackets [ and ].

NOTE 3. Please note that this system is not perfect. There are other
factors that affect the dating difficulty that are not included here, such as cultural factors, so
please use your common sense and do additional research. This chart should help you choose a country
but you should consider other factors as well such as whether or not the people in the country you
are considering would accept you.

NOTE 4. The Country Dating Difficulty Score does not include all countries because not all countries have
data available. To be included, I have to have a statistic for the average male height, the
nominal per capita GDP, and the male / female ratio. If any of those statistics are missing the
country is not included. Also, I removed some countries that have obvious cultural problems such
as North Korea, India, and Iran. These countries may be poor and the men may be short but they would
not be easy for an American because of cultural reasons. Therefore, it would make no sense to include them.

NOTE 5. The reason why the Income Score in 4a8b is [=LOG((([COL E])+5000), 2^(1/3))] instead of
[=LOG((([COL E])), 2^(1/3))] is because I am assuming that most countries have about $5,000 worth of
underground economic activity. Poor countries that have low per capita GDP figures often have a high
percentage of their total economy in the black or grey market and therefore often have $5,000 or so
in unreported economic activity per capita. Richer countries have smaller black or grey market economies
as a percentage of their total economy. However, it is often the same in terms of total dollar value. If you
are considering a country and have more accurate information about the size of the black or grey market
economy, you can replace the +5000 figure with a more accurate one for the country that you are considering.
I simply use + $5,000 for all countries because I don't have accurate figures for most countries and it seems
that most countries have underground economies of approximately $5,000 per capita.


-> -> 4a1. Column A: COUNTRY RANK


-> -> 4a2. Column B: COUNTRY NAME


-> -> 4a3. Column C: AVERAGE MALE HEIGHT INCHES

SOURCE OR FORMULA:
http://forums.interbasket.net/f10/avera ... dated-9287


-> -> 4a4. Column D: AVERAGE MALE HEIGHT FEET AND INCHES

SOURCE OR FORMULA:
http://forums.interbasket.net/f10/avera ... dated-9287


-> -> 4a5. Column E: NOMINAL PER CAPITA GDP

SOURCE OR FORMULA:
http://en.wikipedia.org/wiki/List_of_co ... per_capita


-> -> 4a6. Column F: GENDER RATIO M / F This is the Gender Ratio Males / Females

SOURCE OR FORMULA:
http://en.wikipedia.org/wiki/List_of_co ... _sex_ratio


-> -> 4a7. Column G: PERCENT MEN VERY HANDSOME The male acceptance rate for that country from Beautifulpeople.com.

SOURCE OR FORMULA:
http://www.prnewswire.com/news-releases ... 41767.html

Where the percent is listed, it is included.
Most countries had no data so I just used the global average of 17% for those countries.
This is because 17% is the global average. So where it says NA 17% is used to calculate the score.


-> -> 4a8. Column H: DIFFICULTY SCORE This is the raw difficulty score.

SOURCE OR FORMULA: (Copy into a cell in Excel, put the country values in, then remove the end brackets)
[=ROUND((([COL C])+LOG((([COL E])+5000),2^(1/3))+([COL F])*20+((NORMSINV(0.76))-(NORMSINV(1-(([COL G])/100))))*2.5),3)]

RUSSIA EXAMPLE: Plugging Russia's information into this equation:

[=ROUND((69.4)+LOG(((10600)+5000), 2^(1/3))+(0.92)*20+((NORMSINV(0.76))-(NORMSINV(1-((9)/100))))*2.5,3)]

Gives the result:

[128.002]

You can also calculate the Country Dating Difficulty Score by summing up these four subscores:

a. HEIGHT SCORE
b. INCOME SCORE
c. GENDER RATIO SCORE
d. MALE ATTRACTIVENESS ADJUSTMENT SCORE

For an explaination of how those scores are calculated, see 4a8a through 4a8d below:


-> -> -> 4a8a. HEIGHT SCORE This is the average male height in inches from Column C.

HEIGHT FORMULA: The excel formula for height would be identical to the height so just use:
[=([COL C])]

In other words, 1 point of difficulty is added for each increase in the Average Male Height.


-> -> -> 4a8b. INCOME SCORE

INCOME FORMULA:
[=LOG((([COL E])+5000), 2^(1/3))]

For example, if the per capita is $11,400, you would add $5,000 giving an adjusted Per Capita GDP of $16,400.
The Log base 2^(1/3) of that is approximately 42.
If the Per Capita GDP is $3,200, you would add $5,000 giving an adjusted Per Capita GDP of $8,200.
Putting $8,200 in the formula gives a result of approximately 39.
So, in other words, 3 points are added for each doubling of the ((Per Capita GDP) + 5000).


-> -> -> 4a8c. GENDER RATIO SCORE The gender ratio times 20 from Column F.

GENDER RATIO FORMULA:
[=([COL F])*20]

In other words, for each increase of 0.05 in the Gender Ratio an additional difficulty point is added.
A ratio of 1.05 is 1 point harder than a ratio of 1.00.


-> -> -> 4a8d. MALE ATTRACTIVENESS ADJUSTMENT SCORE

MALE ATTRACTIVENESS ADJUSTMENT FORMULA:
[=((NORMSINV(0.76))-(NORMSINV(1-(([COL G])/100))))*2.5]

I used data from BeautifulPeople.com, the percent of men accepted by the site by country, to calculate
the Male Attractiveness Adjustment Score which is added to the raw difficulty score for each country
that has available data.

To see the Male Attractiveness Adjustment Score:
1. Scroll down to the chart in 4d of this post then
2. Look at the score in Column E of that chart.

BRAZIL EXAMPLE: For example, 45% of the men from Brazil who applied at BeautifulPeople.com
were accepted. This is much higher than the US, where 24% of the men who applied were accepted.
Because of this, Brazil's difficulty level is increased by 1.4515 points.

[=((NORMSINV(0.76))-(NORMSINV(1-(([COL G])/100))))*2.5]
[=((NORMSINV(0.76))-(NORMSINV(1-((45)/100))))*2.5]
[=1.4515]

To see the percentage of men who applied to BeautifulPeople.com and were accepted
look at either Column G of the chart in 4b or Column B of the chart in 4d.

Where it says NA, that means no statistic was available. In those cases, I just subtracted 0.6197 points
from the raw score. This is because the USA has a somewhat HIGHER acceptance rate than the
global average (24% versus 17%) average. In the absence of any data, I just assume that the
acceptance rate is the same as the global average of 17%.



-> 4b. CHART OF COUNTRY DATING DIFFICULTY SCORES


Image
Image
Image



-> 4c. EXPLAINATION OF THE CHART OF COUNTRY ATTRACTIVENESS


The Chart of Country Attractiveness uses data from Beautifulpeople.com to estimate the facial attractiveness of the people in each country and how their attractiveness would affect dating difficulty. Column E contains the value that is used to adjust the Country Dating Difficulty Score for male facial attractiveness.


-> -> 4c1. Column A: COUNTRY NAME


-> -> 4c2. Column B: PERCENT OF MEN ACCEPTED AT BEAUTIFUL PEOPLE WEBSITE

SOURCE OR FORMULA:
http://www.prnewswire.com/news-releases ... 41767.html

This is the percent of the men who applied to Beautifulpeople.com from that country who were accepted.


-> -> 4c3. Column C: LOWEST STANDARD DEVIATION (Z SCORE) OF MEN ACCEPTED

SOURCE OR FORMULA:
[=ROUND(NORMSINV(1-(([COL B])/100)),4)]

This is the Standard Deviation Score (Z Score) of the Percentrank within that country
that would be the lower boundary of being accepted at Beautifulpeople.com rounded to 4 decimals.
For example, 28% of the men from Argentina who applied at the website were accepted.
This means that the Percentrank within Argentina of the lower boundary of being accepted is:
100% - 28% = 72%
The Standard Deviation score, or Z score, of 72%, rounded to 4 decimals, is 0.5828.
In other words, since 28% of the men from Argentina were accepted, I am assuming that for a man from
Argentina to be accepted he would have to be more attractive than 72% of the men in his country.
This means he would have to have a Z score of 0.5828 within his country.


-> -> 4c4. Column D: STANDARD DEVIATION (Z SCORE) DIFFERENCE FROM USA

SOURCE OR FORMULA: (Copy into Microsoft Excel, put in values, then remove end brackets [ and ]
[=ROUND((NORMSINV(0.76))-(NORMSINV(1-(([COL B])/100))),4)]

This is the number of Z scores of difference between the country and the USA in terms of male attractiveness.
Since 24% of the men from the USA who applied to Beautifulpeople.com were accepted,
the value in Column C, for the USA, would be 0.7063.
That is because the Z score of 76% is 0.7063 and I am assuming an
American male would have to be at the 76% percentile or higher to be accepted at the website.
For example the value in Column C for Brazil is 0.1257.
0.7063 - 0.1257 = 0.5806
Therefore, assuming that the Brazilian and American male attractiveness distributions are both
normally distributed with the same sized standard deviation, the average Brazilian male is
0.5806 Standard Deviations more attractive than the average American male.
In other words, the value in Column D is the number of Standard Deviations
more or less attractive the average male from that country is compared to
the average American male.


-> -> 4c5. Column E: MALE ATTRACTIVENESS ADJUSTMENT SCORE

SOURCE OR FORMULA:
[=ROUND(((NORMSINV(0.76))-(NORMSINV(1-(([COL B])/100))))*2.5,4)]

This is the number of points of difficulty that are added to the COUNTRY DATING DIFFICULTY SCORE.
From online dating statistics, it appears that 1 SD change in facial attractiveness
is equal to about 2.5 inches of height. Since the difficulty score is based on inches of height,
the difficulty score is increased by 2.5 inches for every SD increase in the value in Column D.


-> -> 4c6. Column F: GLOBAL PERCENTRANK OF AVERAGE MAN FROM COUNTRY

SOURCE OR FORMULA:
[=ROUND(NORMSDIST((NORMSINV(0.83))-(NORMSINV(1-(([COL B])/100)))),4)]

This is the Global Percentrank of the average man from the country.
In other words, an average man, who is at the 50th percentile from that country,
would be at the percentile in Column F in terms of attractiveness globally.


-> -> 4c7. Column G: PERCENT OF WOMEN ACCEPTED AT BEAUTIFUL PEOPLE WEBSITE

SOURCE OR FORMULA:
http://www.prnewswire.com/news-releases ... 41767.html

This is the percent of the women who applied to Beautifulpeople.com from that country who were accepted.


-> -> 4c8. Column H: GLOBAL PERCENTRANK OF AVERAGE WOMAN FROM COUNTRY

SOURCE OR FORMULA:
[=ROUND(NORMSDIST((NORMSINV(0.83))-(NORMSINV(1-(([COL G])/100)))),4)]

This is the Global Percentrank of the average woman from the country.
In other words, an average woman, who is at the 50th percentile from that country,
would be at the percentile in Column H in terms of attractiveness globally.



-> 4d. CHART OF COUNTRY ATTRACTIVENESS


Image

_________________________________________________________________________
LarryLaffer
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Joined: Sat Aug 06, 2011 11:31 pm

Postby mguy » Sat Dec 08, 2012 10:40 pm

O_O
"So never refuse an invitation, never resist the unfamiliar, never fail to be polite and never outstay the welcome. Just keep your mind open and suck in the experience. And if it hurts, you know what? It's probably worth it."

Like to read?Third World Hero
Like to see?3WorldHero -- Did he really just do that?

mguy
Junior Poster
 
Posts: 749
Joined: Sat Nov 24, 2012 6:09 pm

Postby mguy » Sat Dec 08, 2012 10:41 pm

So where is best country? lol
"So never refuse an invitation, never resist the unfamiliar, never fail to be polite and never outstay the welcome. Just keep your mind open and suck in the experience. And if it hurts, you know what? It's probably worth it."

Like to read?Third World Hero
Like to see?3WorldHero -- Did he really just do that?

mguy
Junior Poster
 
Posts: 749
Joined: Sat Nov 24, 2012 6:09 pm

Re:

Postby Allen » Sat Nov 15, 2014 10:12 pm

mguy wrote:So where is best country? lol


I'm guessing that depends on who you are.

If you like Asian women, it seems the obvious choice is the Phillipines.

If you want White women, the choice seems to be more difficult.

It seems to me, from what I've read, the best countries to find

White Women are probably Bulgaria and Poland.

Does anyone know if the women in Paraguay or Uzbekistan are White?

Its unclear from online sources if Paraguay is White or whether they mostly look like Mexicans.

It is also unclear if Uzbekistan women look like Mongolians or White.

Both countries are on the easy list.
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Allen
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