history – Page 60

Understanding New Zealand: Demographics of Medium-Skill Occupations

Perhaps the most striking correlation in this section is that between being Maori and being a community or personal service worker – this was 0.72. It’s possible that the best explanation for this very strong correlation is the social orientation of Maori culture, as the community or personal service occcupation is one that demands social intelligence above all.

The likelihood of a member of any given ethnic group working as a community or personal service worker is a reflection of how established that ethnicity is in New Zealand. For Kiwis of European descent it was essentially uncorrelated; for Pacific Islanders it was on the border of being significantly negatively correlated and for Asians the correlation was a moderately strong -0.49.

Interestingly, the ethnic breakdown of those who were clerical and administrative workers was very close to the proportions of those ethnicities in the population as a whole. And so, no ethnicities were significantly correlated, either positively or negatively, with being in this occupation.

In a way, that makes being a clerical or administrative worker the quintessential Kiwi middle-class job.

There is a split in the middle of this demographic when it came to religious attitudes. Technicians and trades workers and community and personal service workers both had moderately strong correlations with being Spiritualists or New Agers or with having no religion.

This was not true for clerical and administrative workers, who had a marginally significant correlation with having no religion and no significant correlation with being a Spiritualist or New Ager.

Medium-skill occupations were generally younger than the high-skill ones, especially community and personal services workers, for who the correlation with median age was -0.46. Technicians and trades workers, however, were very close to the national average – the correlation between working as one and median age was only 0.05.

Being a clerical or administrative worker was much better paid in general than the other medium-skill occupations. The correlation between working in this occupation and median personal income was 0.43, compared to -0.14 between working as a technician or trades worker and median personal income, and -0.31 for being a community or personal service worker and median personal income.

Looking at income bands, we can see that clerical and administrative workers are the best paid of the medium-skill occupations. There is a significant positive correlation between working in this occupation and being in any of the income bands between $40K and $150K, but not above this.

This makes clerical and administrative workers almost as well-paid as managers, and this is reflected in their educational levels. All of the correlations between being a clerical or administrative worker and having a university degree were significantly positive, except for that with having a doctorate. The strongest was 0.32 with having a Bachelor’s degree.

Being a technician or a trades worker is, as most know, a male-dominated occupation. The correlation between working in this occupation and being male was 0.34.

Perhaps reflecting a certain degree of solidarity among the sort of person who would decide to find work as a community or personal services worker, there was a strong positive correlation of 0.67 between being born in New Zealand and working in this occupation. It’s likely that, because immigrants primarily come here for the money, few would come here to work in this area.

Interestingly, clerical and administrative workers were more likely than technicians or trades workers to be paying rent and less likely to be living in a freehold house. Some might find this very surprising considering that clerical and administrative workers are considerably wealthier than tradies, and that wealthier people are more likely to live in a freehold house.

This can be explained by the correlation of 0.39 between working as a technician or trades worker and living on the South Island, and the correlation of -0.16 between working as a clerical or administrative worker and living on the South Island.

In other words, clerical and administrative work might be better paid, but it generally means that you have to live in either Wellington or Auckland and that means much higher housing costs and a less secure tenure of dwelling.

This article is an excerpt from Understanding New Zealand, by Dan McGlashan, published by VJM Publishing in the winter of 2017.

The Fundamental Masculine And Feminine Intelligences – And Stupidities

There is a lot of hot air and angry discussion at the moment about gender differences and intelligence. Some say men are smarter, some say women are smarter, some say both genders have exactly the same degree of intelligence in all areas.

This essay will argue that there are two entirely separate kinds of intelligence, and that the masculine one is best expressed by men and the feminine one is best expressed by women.

Psychologists have long known that men and women differed predictably when it came to certain tasks that their minds were optimised for. Men are predictably better at maths and logic where women are predictably better at language and psychology.

Less broadly known is that the brains of men and women were optimised by differential survival pressures into tendencies towards slightly different behaviours.

The biological past was a brutal place for humans. Survival was marginal at the best of times. Massive predators shared the same jungles as us, and we had nothing in the way of natural defences against them.

Human survival was primarily a matter of intelligence. Individual humans, as a general rule, are intelligent, because it was intelligence that gave humanity the edge necessary to overcome survival pressures in our ecological niche.

Acquiring the necessary food resources for the maintenance of bodily metabolism was always the main challenge for our intelligence. This was primarily achieved in two ways: hunting and gathering.

Hunting requires something very similar to a masculine intelligence. In order to successfully hunt (as a hominid at least) you need to be able to keep quiet for as long as possible, and then to suddenly explode into tightly co-operative action that has a direct and obvious goal (killing something).

As a consequence, men evolved to be very good at delineating a target from the background of visual stimuli that surrounded them. In other words, we adapted to become good at focusing and discriminating.

The flip side of this is the relative inability of masculine intelligence to consider the holistic picture. It simply isn’t necessary, when trying to club a goat to death, to consider any other factor than the immediate task at hand. In fact, it would be a tremendous disadvantage to waste cognitive resources on such things when food was right in front of you and any hesitation could see it escape.

Because more successful hunters were inevitably more successful at surviving and reproducing, this has led to the evolution of a kind of masculine intelligence that allows its holder to focus their attention on a target.

So because the vast majority of hunting in the biological past was performed by men, this masculine intelligence is mostly – but far from exclusively – possessed by men today.

Gathering, on the other hand, requires something very similar to a feminine intelligence.

In direct contrast to hunting, gathering is a noisy endeavour. A group of primates engaged in gathering are constantly twittering to each other information about what they see in front of them, about who has found what, about where to gather next, about the dominance hierarchies of the group, and all manner of chatter.

This means that the selective pressures on women were different to those that shaped men. A gatherer has to do the opposite of focusing.

For women, it was much more important to not be discriminating, to not focus, to stay open. When gathering the important thing is to keep one’s senses as open as possible so that if an example of the thing being gathered came into view it would be noticed.

The flip side of this is the relative inability of feminine intelligence to identify threats in the immediate physical or temporal environment.

Not only is it generally unnecessary – the idea being that the males on the periphery of the group’s territory will keep you safe – but it is actually a cognitive waste, because it’s much better to keep your field of awareness as open as possible, to best notice any nuts, mushrooms and berries.

From this, it’s possible to describe the two intelligences more simply.

The fundamental masculine intelligence is the ability to correctly focus one’s attention (and to see a narrower picture), and the fundamental female intelligence is the ability to correctly unfocus one’s attention (and to see the wider picture).

This probably explains why the bulk of surgeons, who have a very specific task to deal with, are male but the bulk of general practitioners, who must take as holistic a perspective as reasonable, are female.

It also explains why the national Australian women’s soccer team can’t beat a local representative side of 15-year old boys, and why men commit the vast majority of crimes of truly unnecessary violence.

We can also surmise from this that there is a fundamental masculine stupidity and a feminine compliment of same.

The fundamental masculine stupidity is to over-discriminate, and this takes form in prejudices like racism and sexism. Masculine stupidity draws hard and fast lines between things that do not need to be kept separated. This is also why the majority of autists are male.

The fundamental feminine stupidity, then, is to under-discriminate, and this takes the form of making inadequate threat assessments.

And so, in our modern world, we can see all of this in relation to the issues of the day, such as immigration.

The masculine stupidity draws hard and fast lines between the immigrants and the natives and will not let them mix. The feminine stupidity draws no lines and lets everyone in without due care to whether or not they fit properly or want to cause trouble.

Both of these lead to conflict and violence.

The masculine intelligence, by contrast, learns about history and anthropology so it can make more accurate decisions about who to let in and who to keep out. The feminine intelligence gets to know the immigrants and tries to intuit whether their mentality is something to be trusted or not.

Both of these lead to peace.

Understanding New Zealand: Demographics of Tenure of Dwelling

As alluded to in the previous section, a New Zealander’s tenure of dwelling is primarily a function of their socioeconomic status, with the wealthy likely to be freehold, the next most wealthy likely to be mortgaged, and the poorest likely to be paying rent.

That Kiwis of European descent are well-established as the land-holding class is a fact well known. The correlation between being of European descent and living in a freehold house was a very strong 0.78. There was also a positive, but not signficant, correlation of 0.11 between being of European descent and living in a mortgaged house, and a strong negative correlation of -0.68 between being of European descent and living in a rented house.

There were significant negative correlations between every other ethnicity and living in a freehold house. Even the correlation between being Asian and living in a freehold house was significantly negative, at -0.34, despite that the average Asian in New Zealand is fairly middle-class. The correlation between being Maori and living in a freehold house was -0.52, and with being a Pacific Islander and living in a freehold house it was -0.56.

Because we know that most recent immigrants to New Zealand are Asians or Pacific Islanders, these statistics tell the story of how opening the immigration taps has been immensely profitable for the land-holding class, who were then able to charge much higher rents on account of the much higher demand for housing.

Even stronger, and perhaps even less surprising, is the correlation between median age and living on freehold land – a whopping 0.90. The obvious reason for this is people saving their wage or salary for much of their lives for the sake of being able to buy some land and no longer being forced to pay rent.

Mirroring this was the almost as strong negative correlation between median age and living in a rented house – this was -0.86. There is equally little surprising about this statistic because the majority of New Zealanders leave home as soon as they are able, and very few of these move directly into a mortgaged house (much less a freehold one).

Curiously, a person with School Certificate as a highest academic qualification is more likely to live in a freehold house than a person with a doctorate. The correlation with the former is 0.23 and the correlation with the latter is 0.07.

Some might find this very surprising considering that there is a strong correlation between education and wealth and another strong one between wealth and homeownership. The reason for it is that, when it comes to living on freehold land, age trumps both of those things, even added together.

Likewise, it can be seen there is a stronger correlation between living on freehold land and working in agriculture, fishing or forestry (0.32) than there is between living on freehold land and working in a plum industry like information media and telecommunications (-0.38), financial and insurance services (-0.30) or professional, scientific or technical services (-0.16).

Again, the reason for this is mostly because working in those latter three industries generally requires an advanced degree, and these degrees are mostly held by people too young to have saved the capital to secure freehold land.

One statistic that seems amazing when taken out of context is that only Kiwis in the $15-25K income brackets have significant correlations with living in a freehold house, and that only Kiwis in the $50-70K income brackets have significant correlations with living in a mortgaged house.

That might seem strange until one notices the very strong correlation of 0.82 with living in a freehold house and being on the pension.

Seen like that, it seems a bit strange that pensions are much higher than student allowances, despite being paid to people who also do not have to pay rent out of their benefit as a general rule. Then again, the General Disenfranchisement Rule tells us how such a state of affairs came to pass.

This article is an excerpt from Understanding New Zealand, by Dan McGlashan, published by VJM Publishing in the winter of 2017.

Understanding New Zealand: Demographics of the Non-Christian Religious

Although the majority of religious people in New Zealand follow some kind of Christian denomination, there are enough non-Christian religious for it to be worth looking at them as a discrete category.

The Spiritualism and New Age movement is perhaps the most interesting group of non-Christians because they are the hardest to categorise. They are like the others in many ways and unlike them in many ways.

Perhaps the most striking set of correlations relating to the non-Christian religious are those with being foreign born. The correlation between being Buddhist and being foreign born was an extremely strong 0.90, and speaks to how little immigration to New Zealand there has been from Buddhist countries until recently.

There was also a significant positive correlation between being foreign born and belonging to any of Islam (0.75), Hinduism (0.74), Judaism (0.41) or other religions (0.34).

Interestingly, though, there was a moderately strong negative correlation between being foreign born and following Spiritualism or New Age traditions – this was -0.45.

Given that it is very likely any given non-Christian religious person is an immigrant, we can also see trends that are true of immigrants replicated with the non-Christian religious. For instance, the non-Christian religious are significantly better educated, especially in the case of Buddhists and Jews.

The correlation between having a Master’s degree and being a Jew was 0.78; with being a Buddhist it was 0.68; with being a Muslim it was 0.37 and with being a Hindu it was 0.34.

However, the correlation between having a Master’s degree and following a Spiritualist or New Age tradition was negative, at -0.07. This is probably because this particular tradition appears to have its own, New Zealand-specific focus and so they are less likely to be from highly educated immigrant groups.

Again replicating the patterns, all of the foreign non-Christian traditions had significant negative correlations with being on the invalid’s benefit, in contrast to Spiritualism or New Age, which had a significant positive one.

Likewise, all of the foreign non-Christian traditions had correlations of at least 0.50 with never having smoked cigarettes, but the correlation between being a Spiritualist or New Ager and never having smoked was -0.41.

All of these five non-Christian traditions had positive correlations with being on the student allowance, which may suggest a generally higher intelligence among this group. The correlation between being on the student allowance and being Buddhist was 0.30; with being Muslim it was 0.29; with being Jewish it was 0.22; with being Hindu it was 0.19 and with being a Spiritualist or New Ager it was 0.18.

Some might be able to predict the very strong correlations being being Buddhist or Jewish and working in one of information media and telecommunications, financial and insurance services or professional, scientific or technical services. Being Buddhist had a correlation of at least 0.55 with all three of these industries and being Jewish had one of at least 0.60 with all three.

One curiosity is when it comes to how people get to work. Hindus and Muslims are significantly more likely to take a private vehicle to work; Hindus, Muslims and Jews are significantly more likely to take a bus to work; Jews, Spiritualists and New Agers are significantly more likely to walk to work and Spiritualists and New Agers are significantly more likely to bike to work.

The fact that Spiritualists and New Agers have a high incidence of being on the invalid’s benefit but are among the most likely to exercise on the way to work speaks of the large proportion of psychiatric casualties among this group.

Here’s one for the conspiracy theorists: the correlation between being a Jew and having a personal income of $150K was a very strong 0.83. The only other non-Christian tradition to have a significant positive correlation with being in this income band was Buddhism, at 0.40.

For Hinduism, Islam, and Spiritualism and New Age the correlations ranged from 0.00 to -0.12.

The main reason for this can be seen if one looks at the correlations between following a particular non-Christian religious tradition and working as a professional. This had a correlation of 0.70 with being Jewish, 0.48 with being Buddhist, 0.13 with being Muslim, 0.12 with being Hindu and 0.11 with being a Spiritualist or a New Ager.

As a general rule, people following a non-Christian religious tradition were marginally more likely to become sales workers or clerical and administrative workers.

This article is an excerpt from Understanding New Zealand, by Dan McGlashan, published by VJM Publishing in the winter of 2017.