Picture: Kinosaki Nightview

Kinosaki Night 11.08.2007, originally uploaded by micpohling.

Beautiful nightview, as a matter of fact, this picture look better than our bare eyesight!
— Kinosaki Night 11.08.2007

Today Highlight: 20.08.2007

Netherlands: government are funding the jobless on the “development programmes” such as… 

State funds tarot card readings for jobless 
Monday 20 August 2007 

Tarot card readers, astrologers and spiritually-based ‘personal development programmes’ are being given government funding as part of efforts to get people back to work, the Volkskrant reports on Monday.

*I start to imagine what would happen if Malaysia government also consider to sponsor the same funding for university unemployed to take the course on “bomoh“, Chinese “spirit medium”…

Finland: 57% of Finn said they would not buy genetically modified (GM) food…

Most Finns Would Pass on GM Food
Published 19.08.2007, 17.01

The majority of Finns would not buy food which used genetically modified (GM) fodder or ingredients in its preparation. According to a survey by the newspaper Aamulehti, 57 percent of respondents said they would not purchase such food, even if it were produced in Finland.

Norway: Nothing much is interesting today… the scandal of Oslo Mayor… bla bla bla… move on to next.

Sweden: Immigrant women have higher rish in child labour…

‘Healthcare worse for immigrant women’
Published: 20th August 2007 07:57 CET

Women born in countries outside Sweden suffer more complications when giving birth than Swedish women. Eva Robertson, a researcher at the Karolinska Institute, says that the problem stems from discrimination in the healthcare system.
Women born in sub-Saharan Africa and in Latin America were 50 percent more likely than Swedish women to experience complications during labour.
Women from Iran and the rest of Asia meanwhile ran a 30 percent higher risk of labour difficulties than women born in Sweden.

Denmark: politicians use city’s fund to see Michael Moore’s presentation…

Michael Moore’s advice costly for taxpayers
20.08.2007

Dozens of municipal politicians have used their city’s funds to purchase tickets to a presentation by American documentary film director Michael Moore.
At DKK 1600 (USD=290) per person, the total for the big wigs’ night out comes to DKK 112,000. Sønderborg’s mayor, Jan Prokopek Jensen, said Moore’s presentation – which includes a viewing of his latest film about the American health care system, ‘Sicko’ – can be ‘inspirational’ for the city’s businesses and government.

MV: Oasis – Don’t Look Back in Anger

Hehey, one of my favourite Karaoke must-sing song!

OECD: Gender vs What is important in Job

Earlier on, the opinion of people think about what is important in job is compared among selected OECD countries. This time, it is interesting to have a brief look at the comparison between gender (male vs female) in their job selection criteria (what is important in job), again, from the 24 selected OECD countries.

How the data was extracted? In the World Values Survey, the participants were asked how important the criteria, e.g. good pay, in a job. The percentage of participants mentioned the criteria is compared between male and female, as the example below shown:

Important in Job: Good Pay

Australia [1995]   Male    Female
No Mentioned:      339        465
Mentioned:           670        574
——————————————-
% Mentioned:       66.40    55.25     (Difference Male – Female= “+11.15”)
——————————————-

Japan [2000]   Male    Female
No Mentioned:    114      117
Mentioned:           519    612
——————————————-
% Mentioned:    81.99    83.95   (Difference Male – Female= “-1.96”)
——————————————-

To make it a fair comparison between how male and female view each criteria is important in a job, the difference of “% mentioned” between male and female within the same country is used. “+” value means that there are higher % of male responded/affirmed to the question compared to female in that country, and “-” means the otherwise.

Next, the result of 18 job criteria conducted in the survey is listed in the table below. Mean value means the average number on “difference male – female %” of all 24 countries (some positive, some negative). Median shows the middle point of all the data points. As shown in the table below, the blue block arrow on the right means the male has higher % in mentioning such criteria in their survey, while the pink block arrow shows the otherwise.

Now, I am very tempted to explain the difference viewpoint between gender on the criteria which is important in a job by using evolutionary psychology EP (hehey, just my hobby, not my profession :P). Male will value more on good pay, good chances for promotion is quite consistent with EP outlook because earning livelihood and be ambitious translates into resourceful (?) and therefore good for survival and reproduction strategy. However, I am a bit surprise to note that good job security does not show significant difference between male and female because I am counting that male will be more anxious about losing their job (translation: losing their resources). The same would go to job that you can achieve something: male appears not to be much more ambitious than female.

On the other hand, the job criteria like meeting people and pleasant people to work with is consistent with female EP outlook: female emphasizes on people-orientated (?). A useful job for society is quite aligned with female/mother charity character-like (?). Lastly, good hours make perfect sense because female tend to spend their time with family/children instead of work.

Well, all the above mentioned theory is not exactly proven science or something like that. It is more like my pet theory 😛 But after typing these words out, I got the worry feeling: would it be politically incorrect to mention such thing? Well, of course there are other possible explaination for the results above and I would love to hear and learn more. 🙂

Picture: Summer is not complete without…

Kinosaki/Takeno Beach 11.08.2007, originally uploaded by micpohling.

… a picture with ladies in bikinis having fun at sea!
– Kinosaki/Takeno Beach 11.08.2007

World: Population vs Happiness, Satisfaction with Life

Will the population of a country has any correlation with the subjective feeling like happiness or satisfaction of life? Apparently from the graphs below, the answer is yes.

a) Population vs “How happy are you?” among OECD countries, year 2002-2004:

Rsquare=0.396 (moderately strong and negative correlation) at p=0.0017.

b) Population vs “% of people say ‘very happy'” among selected world countries:

Rsquare=0.173 (weak negative correlation) at p=0.013.

c) Population vs “satisfaction with life” among selected world countries:

Rsquare=0.332 (moderately strong negative correlation) at p=0.0002.

However, it is also noted that as shown earlier in previous post, the GDP per capita decrease along with increment of population (log 10) while Gini increase with population. So the relationship will probably go along the line such as: high population -> lower GDP pe capita/high Gini -> lower happiness score/life satisfaction score.

Note: Symbol and colours used in graph

“+” is Iceland, “x” is US
Red: GDP<$15 000
Black: $15 000 < GDP < $25 000
Blue: GDP > $25 000

Fun! Me as a Character in South Park

… Or rather I created a South Park character like based on the software/program here: SP-Studio.

That’s what I believe in how should I look like 😛

Picture: More Summer Beach

Kinosaki/Takeno Beach 11.08.2007, originally uploaded by micpohling.

Oh, there is no Baywatch hot babe around. So disappointed! 😦
– Kinosaki/Takeno Beach 11.08.2007

OECD: Population vs GDP, Gini

Out from nowhere, I have a curious check to see if the population (in log10 form) will have any correlation with GDP and Gini in OECD countries.

a) Population vs GDP per capita [2001]

Rsquare=0.145 at p=0.0546.
If the so-called 2 outlier points (the “+” is iceland, “x” is US) are excluded from the graph, the Rsquare will increase to 0.301 (moderately strong) at p=0.0055, as shown below:

Note: The colour of each point represent the GDP bracket: red – GDP <$ 15,000, black- $15, 000 <GDP <$25,000, blue -GDP> $ 25,000

b) Population vs Gini [2000]

Rsquare=0.162 at p=0.051. However, let’s say if Luxembourg’s point is excluded, the rsquare will increase to 0.280 (p=0.009), as shown below:

So, is there any reason for why higher population has lower GDP per capita and higher Gini, i.e. income inequality? Or should there be any explanation at all? Could it be that if the population is small, it will be more managable? I mean it could not be that because a country’s GDP is low, therefore they want higher population? Any input?

Source:

1) Population: World Bank, 2000
2) GDP per capita: OECD
3) Gini 2000: OECD

Picture: Summer is here!

Kinosaki/Takeno Beach 11.08.2007, originally uploaded by micpohling.

…And let’s go to beach!
Kinosaki/Takeno Beach 11.08.2007

OECD: Important in Job – Summary

After 5 posts on the series of important in job, the summary of what each OECD country participants’ view on the important criteria in a job can be concluded as below:

Job criteria – Average % say yes (Standard Deviation)
Important in a job: good pay – 79.2 (11.5)
Important in a job: a job that is interesting  – 70.0 (10.2)
Important in a job: good job security – 69.7 (14.3)
Important in a job: that you can achieve something – 66.6 (14.2)
Important in a job: a job that meets one´s abilities  – 62.5 (13.7)
Important in a job: an opportunity to use initiative  – 55.5 (10.9)
Important in a job: good hours – 54.0 (14.0)
Important in a job: a responsible job – 53.5 (13.2)
Important in a job: a respected job – 46.8 (16.2)
Important in a job: not too much pressure – 40.0 (17.0)
Important in a job: generous holidays – 34.8 (16.9)

So obviously money, or the good pay is distinctively important among all the job criteria. After all, people need money to survive in the developed society. However, it is interesting to see if the factors such as a) GDP, b) tax and c) income inequality (Gini measure) correlate to how people think good pay is important in job.

a) GDP [2000]

b) Tax (Total tax wedge on average wage in year 2000)

c) Income inequality (Gini 2000)

Picture: Kyoto Nightview

Funagata 09.08.2007, originally uploaded by micpohling.

The wonderful Kyoto nightview from Funagata, 09.08.2007.

OECD: Important in Job – Opportunity to use Initiative, Can achieve Something, and a Job that Meets one’s Abilities.

In the World Values Survey, the interviewees in the selected countries were asked how important these aspects in the job. In this last post on this series, 3 questions were listed like below:

a) An opportunity to use initiative
b) A job that you can achieve something
c) A job that meets one’s abilities

As for the result, the value in the graphs show the percentage (%) of the interviewee mentioned who mentioned that the criteria is important in a job:

a) An opportunity to use initiative:

80.8% Koreans think that it is important in a job as the opportunity to use initiative, followed by 72.5% New Zealanders, 64.5% Italians, 63.1% Icelanders and 62% Dutch. On the other hand, only 29.7% Czech think that this crtieria is important, so do 35.4% Portugese, 39.2% British, 42.3% Mexican and 42.8% French.  

b) A job that you can achieve something

Koreans are highly critical about the job criteria on what you can achieve in the job (91.8%), followed by Americans (83.8%), New Zealanders, Icelanders and Hungarians. On the other hand, only 38.1% of Czech people think that criteria is important, so do 40% Dutch, 46.7% Belgian, 48.1% Portugese and 49% Spanish.

c) A job that meets one’s abilities

High percentage of Korean, Japanese, Hungarian, Italian and Dutch think that it is important to have a job which meet one’s abilities. On the other hand, only handful of British (UK), Swedish, Australian, Portugese and Norwegian think it is important.

Picture: More Beautiful Maiko…

Kyoto 04.08.2007, originally uploaded by micpohling.

Taken on 04.08.2007, at Hanamikoji, near Gion, Kyoto, Japan.

Can know more about them here:
Immortal Geisha Forum

OECD and Malaysia: Intentional Homicide Stats

Let’s have a look at intentional homicide/murder around OECD countries and Malaysia:

a) Total Offences – Intentional homicide reported in year 2003 and the table for year 2000-2003

Year 2003
Iceland – 1
Luxembourg – 3
Ireland – 45
Austria – 50
Norway – 51
Denmark – 66
Finland – 103
New Zealand – 104
Greece – 122
Switzerland – 187
Sweden – 189
Portugal – 271
Australia – 341
Spain – 498
Canada – 549
Malaysia – 565
Italy – 772
Germany – 829
France – 987
Japan – 1452
UK: England & Wales – 1737
US – 16528

b) Offences per 1 000 000 population – Intentional homicide reported in year 2003 and the table for year 2000-2003

Year 2003
Iceland 3.5
Luxembourg 6.7
Austria 8.0
Netherlands 9.7
Germany 10.0
Greece 11.1
Norway 11.1
Ireland 11.3
Japan 11.4
Spain 11.9
Denmark 12.3
Italy 13.4
Belgium 15.0
France 16.4
Australia 17.2
Canada 17.4
Finland 19.8
Sweden 21.1
Malaysia 23.1
Switzerland 25.5
New Zealand 25.9
Portugal 26.0
UK: England & Wales 32.9
US 56.8

Sources:

a) homicide cases: OECD countries from European Sourcebook and cross-checked with some of the individual country’s statistic department. Malaysia – Royal Police Department.

b) population: World Bank.

Picture: Beautiful Maiko

Kyoto 04.08.2007, originally uploaded by micpohling.

Just came back from our Kinosaki-Miyazu trip. Fun and nice. Not yet uploading the pictures, I have to clear up my backlogs, for example, like this beautiful maiko pictures which I took 1 week ago at Hanamikoji near Gion area.

Congratulations to Malaysia Airline and KLIA!

Well, I think they do deserve congratulations for their good work is important to maintain Malaysia’s image around the world:

a) Malaysia Airline System (MAS)’s rank in the World Airline Awards 2007

Airline Of The Year 2007: #6
Best Cabin Staff: #1 (!!!!)
Best Catering – Economy Class: #3
Best First Class – #4
Best Bussiness Class – #4
Best Economy Class – #2

b) Kuala Lumpur International Airport (KLIA) in World Airport Awards 2007

Top 10 Airports in the world for 2007 : #5 (improve from #6 in year 2006)
Immigration Service: #2 [ohhh, actually this comes out as a surprise because I was reading some complaints about Malaysia’s immigration service at KLIA not long ago. But whatever their complaints were, surprisingly Malaysia’s one is voted by passengers, after Zurich, but better than Singapore (another surprise there :P)]

Picture: Sunflower

Kyoto Botanical Garden 31.07.2007, originally uploaded by micpohling.

Yes, it is the lovely sunflower season. I went to Kyoto Botanical Garden just to take photos of these lovely flowers.

Math! How long does it take to reach 200 million?

Instapundit ask the reader (e.g. me) to do the math exercise:

Question left as an exercise for the reader: How long, at 10,000 / day, does it take to reach 200 million?

Well, 10 000/day will make it 3.65 million/year, and 200 ÷ 3.65 = 54.79 years. So half a century (50 years) to reach 200 million, as according to … 

Ten thousand Chinese become Christians each day, according to a stunning report by the National Catholic Reporter’s veteran correspondent John Allen, and 200 million Chinese may comprise the world’s largest concentration of Christians by mid-century, and the largest missionary force in history.

So it kinda left me wonder what could make Instapundit surprised if these predictions bore out: the 200 million in half century part, or the 10 000/day part? 

OECD and Malaysia: Rape Statistic

A look at rape statistic at developed countries like OECD and Malaysia:

1) Number of rape cases reported in 2003 and table for year 2001-2003 (absolute number):

Year (2003)
Luxembourg 37
Iceland 110
Greece 231
Ireland 315
Portugal 392
Denmark 472
Switzerland 547
Finland 573
Norway 706
New Zealand 1059
Austria 1185
Malaysia 1471
Spain 1636
Netherlands 1665
Japan 2472
Sweden 2565
Belgium 2708
Italy 2744
Germany 8766
France 10408
UK: England & Wales 13247
Australia 18237
Canada 23425
US 93883

 

2) Number of rape cases per 100 000 population in year 2003 and table for year 2001-2003:

Year (2003)
Japan 1.94
Greece 2.09
Portugal 3.75
Spain 3.89
Italy 4.76
Malaysia 6.02
Switzerland 7.45
Ireland 7.88
Luxembourg 8.22
Denmark 8.76
Netherlands 10.26
Germany 10.62
Finland 10.99
Austria 14.59
Norway 15.42
France 17.34
UK: England & Wales 25.09
Belgium 26.10
New Zealand 26.88
Sweden 28.64
US 32.28
Iceland 38.03
Canada 74.06
Australia 91.77

Sources:

a) rape cases: OECD countries from European Sourcebook and cross-checked with individual country’s statistic department. Malaysia – Royal Police Department.

b) population: World Bank.

« Older entries Newer entries »