Understanding New Zealand: Demographics of Beneficiaries

The four benefits split neatly into a well-spaced hierarchy of disenfranchisement, with the unemployed being the most disenfranchised, the invalids the next most, the students the next most, and the pensioners the least.

The stereotype about high numbers of Maoris being on the unemployment benefit is true to a degree – the correlation between being Maori and being on the unemployment benefit was an extremely strong 0.91. The correlation between being Maori and being on the invalid’s benefit was also very strong – this was 0.77.

Of course, these stereotypes also exist for Pacific Islanders, but here the correlations are not so strong. The correlations between being a Pacific Islander and being on the invalid’s benefit is -0.00, and with being on the unemployment benefit it is 0.25.

Probably the reason why these two correlations are weaker is that the immigration system prioritises the sort of person who can work and pay taxes for a long time into the future, and these people generally have not been here long enough to claim a pension yet.

A strong correlation exists between being of European descent and being on the pension – this was 0.65. This is very curious if one considers the commonly held belief that Maoris and Islanders are responsible for a disproportionate amount of welfare spending.

In fact, a tremendous amount of welfare spending goes to paying Pakeha people a pension, and if one considers that many of these people are taking advantage of the system by retiring well before they become incapable of further productive work, it has to be asked in which direction the stereotypes really ought to go.

Interestingly, although being Asian has a weaker negative correlation with being on the unemployment benefit (-0.25) than being of European descent and being on the unemployment benefit (-0.53), the negative correlation between being Asian and being on the invalid’s benefit (-0.56) is much stronger than for being of European descent and being on the invalid’s benefit (-0.12).

Probably the reason for this is an invalid is unlikely to be granted clearance to move to New Zealand, and so the Asian population in New Zealand, a large number of who are foreign-born, will have had a number of invalids selected out of them.

The unemployed and invalids love to smoke cigarettes. This is perhaps obvious to anyone who has spent a lot of time on a benefit, for a number of reasons. For one, there isn’t much else to do; for another, all of the other beneficiaries probably smoke tobacco or heavier.

The correlation between being on the unemployment benefit and being a regular tobacco smoker is an extremely strong 0.87, and between being on the invalid’s benefit and being a regular tobacco smoker is, at 0.85, almost as strong.

Part of the untold story is the fact that people smoke tobacco primarily for mental health reasons (this has been covered elsewhere by VJM Publishing). So it’s not surprising that the unemployed and the invalid’s beneficiaries – the two groups that collectively suffer the majority of the severe mental illness in this country – use the most mental health medicine.

A statistic that many will find surprising is that there is a positive correlation with being female and being on any of the benefit types. The correlation between being female and being on the pension is the weakest, at 0.03, and the correlation between being female and being on the student allowance is, at 0.21, also not significant.

There were significant correlations between being female and being on either the unemployment benefit (0.39) or the invalid’s benefit (0.26). These correlations are both strong enough that a considerable amount of the wage gap between men and women could be explained by them alone.

As mentioned above, it’s difficult for invalids to get into New Zealand as immigrants because the points system prioritises those who are capable of working and paying the greatest amount of taxes. As a consequence, there is a strong positive correlation of 0.74 between being born in New Zealand and being on the invalid’s benefit.

South Islanders are significantly less likely to be on the unemployment benefit. The correlation between living on the South Island and being on the unemployment benefit was 0.30, which probably reflects a cultural appreciation of industriousness, as none of the correlations with other benefit types were significant.

There is a striking curiosity when it comes to benefits and median age. The correlation between median age and being on the unemployment benefit (-0.73) is actually stronger than the correlation between median age and being on the student allowance (-0.70).

This tells is that, as young as students tend to be, the unemployed tend to be even younger. This probably reflects the fact that it takes a certain amount of time to learn the life skills needed to be employable.

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This article is an excerpt from Understanding New Zealand, by Dan McGlashan, due to be published by VJM Publishing this winter.

Understanding New Zealand: Demographics of Turnout Rate

Examining the demographics of the turnout rate in 2014 gives us an opportunity to look closely at the general disenfranchisement rule. If it holds true, as we have suggested so far, that the turnout rate of any given demographic will be proportionate to the degree that this demographic can expect to have its wishes met by the political establishment, then this section ought to tell us a lot about the sort of person who runs New Zealand.

Commensurate with the fact that all Kiwi Prime Ministers up until now have been Pakeha, there is a very strong correlation of 0.71 with being of European descent and turnout rate in 2014. This was not only the strongest but the only correlation of its kind that was positive.

The correlation with turnout rate in 2014 was -0.10 for being Asian, -0.44 for being a Pacific Islander and -0.77 for being Maori. The correlation between turnout rate in 2014 and being Maori is so strongly negative that barely half of all eligible Maoris voted in 2014.

Pacific Islanders are disenfranchised by poverty and poor education to a similar degree to Maoris, but as a consequence of being relatively recent immigrants they do not have the intergenerational trauma that Maoris do.

Predictably, then, the correlations between turnout rate and religion reflects the religious proclivities of the various ethnicities.

The religious beliefs that had the strongest positive correlations with turnout rate in 2014 were Anglicanism (0.41), Presbytarianism (0.32), Brethren (0.32) and Judaism (0.30).

The religious beliefs that had the strongest negative correlations with turnout rate in 2014 were Mormonism (-0.68), Ratana (-0.68), Maori Christian (-0.64) and Jehovah’s Witness (-0.57).

Interestingly, there was a significant positive correlation of 0.24 between having no religion and turnout rate in 2014. This contradicts the glibly accepted wisdom that the religious like to vote and the irreligious do not – in reality there are more fundamental factors in play.

What supports the accepted wisdom is the very strong positive correlation of 0.77 between turnout rate in 2014 and median age. Old people love to vote: indeed, for many of them it is the very highlight of their year. It should, however, be noted that the strength of this correlation is mostly an artifact of needing to be eighteen years old in order to cast a vote.

In fact, for people in the 20 to 29 age bracket, the correlation with turnout rate in 2014 was -0.21, which was negative but not significant.

One trend is very clear: that the more educated a person is the more likely they are to be engaged with the political system. This directly follows the general enfranchisement rule, considering that a Kiwi with a degree is vastly more likely to work in the higher levels of government, and one with an advanced degree even more so.

The correlation between turnout rate in 2014 and having no qualifications was -0.46. This is not particularly strong, but if one considers that most people with no qualifications are old and that old people love to vote, one can guess that very few young people with no qualifications vote at all.

On the other hand, the correlations between turnout rate in 2014 and having a degree were significantly positive for all degrees. Between turnout rate in 2014 and having a doctorate the correlation was 0.45. As for no qualifications, this correlation is partially an artifact of the relatively recent expansion of the tertiary education system, one consequence of which is the relative youth of higher degree holders.

The correlation between turnout rate in 2014 and being on the pension ws 0.51, which, as mentioned above, reflects that many pensioners still command a considerable amount of wealth and are very engaged in the direction of the political system, despite no longer working.

One result that some might find surprising is that the correlation between turnout rate in 2014 and being on the invalid’s benefit (-0.53) is not as strong as the correlation between turnout rate in 2014 and being on the unemployment benefit (-0.76). This could be surprising because it could reasonably be expected that an invalid is more severely disenfranchised than someone who could conceivably have a full-time job next week.

The difference is that the class of unemployed in New Zealand are disproportionately drawn from the generally disenfranchised – the poor, the young, the Maori etc. The class of invalids, by contrast, are generally more average people who have fallen ill due to injury, an unfortunate genetic condition or mental illness. This means that they are drawn more evenly from all social classes and ethnic groups.

The correlation between being on the pension and turnout rate in 2014 is so strong, and these pensioners so numerous, that there are negative correlations between turnout rate in 2014 and working in most industries. The strongest were in transport, postal and warehousing (-0.64), manufacturing (-0.51) and administrative and support services (-0.44).

The only significant positive correlation between turnout rate in 2014 and working in any industry was with the exceptionally not disenfranchised professional, scientific and technical services, which was 0.28.

Men vote significantly more than women, which follows the general disenfranchisement rule. The correlation between turnout rate in 2014 and being male was 0.29, which perhaps reflects a weakly-held folk belief that politics is a man’s business and a man’s world.

Curiously, being born in New Zealand had a significant negative correlation of -0.24 with turnout rate in 2014. That the foreign-born vote more than Kiwis might surprise many. However, if one considers that being born in Britain has a correlation of 0.81 with turnout rate in 2014, and that almost all Maoris in New Zealand are New Zealand-born, the reasons why become apparent.

Predictably, the poor do not vote as often as the wealthy. All of the income bands from $0-50K had significant negative correlations without turnout rate in 2014, except for the student bands of $15-25K. All of the income bands above $70K had significant positive correlations with turnout rate in 2014.

The above statistic might be the single most important correlation detailed in this study.

If the most basic division of New Zealand society is into haves and have-nots, the next most basic might be into the have-a-lots, the have-a-littles, and the have-bugger-alls. This neatly reflects the three basic kinds of land tenure: freehold, mortgage, and renting.

As a consequence, the correlations between turnout rate in 2014 and tenure of dwelling are 0.72 for freehold land, -0.66 for rented land and an even -0.00 for mortgaged land.

One final curiousity is the correlation of 0.21 between turnout rate in 2014 and living in the South Island. This is much stronger than most people might expect, and possibly reflects the degree to which old money from the early settlement of the South Island still enfranchises the inheritors of it.

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This article is an excerpt from Understanding New Zealand, by Dan McGlashan, due to be published by VJM Publishing this winter.

The Lesson of ANZAC Day is to Not Follow Leaders

The reason why ANZAC Day is so important to the nations of Australia and New Zealand was that it was the day we became aware of exactly how little regard we were held by the British commanders. It was therefore the day we decided to look to ourselves for self-regard: the birth of the national consciousness.

This is why ANZAC Day is celebrated to the degree that it is in both New Zealand and Australia even today, a century after the landings at ANZAC Cove.

The day marks the moment that we decided we were good enough to stand on our own merits as New Zealand and Australia, and not merely as colonies of Britain, because the British did not hold us in the regard we deserved.

The difficulty is this – a century later, our own leaders, despite being elected from among ourselves, treat us with equally little regard. In fact, our own leaders treat us so poorly that we’re now doing worse than many of the countries we have defeated in war within the past century.

Germany and Japan today both have a higher standard of living than the Anglosphere – their defeat in World War Two made it possible to clean out the entrenched corruption in the political systems of these countries, laying the foundation for socio-economic success.

Contrast that to the West, where the victory of World War Two was taken as a sign that God had blessed us. Not only were we correct, but our entire social order was perfect, right down to the degree to which labour relations favoured capital interests.

The symbol of ANZAC Day is the poppy, the reason being that the poppy is used to make morphine, and morphine was raised to an almost holy status after World War One because for an injured soldier its administration was like a gift from heaven.

For the soldiers who risked so much to bring freedom to people, and who felt first-hand the degree to which medicine can prevent human misery, it must be a bitter pill to swallow that the governments they fought for are putting their descendants in cages for exercising their right to use medicinal plants.

In much the same way that morphine brought relief to those whose bodies had been shattered by bullets and shrapnel, other plant medicines bring relief to those whose minds have been shattered by abuse and neglect.

Cannabis is now legal in 29 American states as a recognised medicine, including for post-traumatic stress disorder, the mental illness that the ANZACs would have called shellshock. But the New Zealand Government will not even discuss changing the cannabis laws here.

MDMA is also being currently trialled after showing promise in treating PTSD, psilocybin is currently being trialled after showing promise in treating death anxiety, ibogaine is currently being trialled after showing promise in treating drug addiction and ayahuasca is currently being trialled after showing promise in treating depression. But anyone using any of these plant medicines in New Zealand risks getting put in a cage for many years by the Government.

It’s hardly plausible that the men that signed up to fight Hitler did so to protect a political system that would put their grandchildren in cages for using medicinal cannabis. Yet, here we are. We would have more freedom today if the ANZACs had shot a few of their own politicians.

The lesson of ANZAC Day is this. Never, ever follow the dictates of people who claim to rule you and who claim to be in charge of you, no matter how urgent the need is claimed to be, no matter how many flags they wave, no matter what authority they claim to be speaking with, no matter how malicious the enemy is claimed to be, no matter how much jeering, threatening, mocking, insulting and coercing they do.

Anyone who is not willing to treat you as an equal is your enemy.

Understanding New Zealand: Demographics of Labour Force Status

Here’s one correlation that won’t surprise anyone: the correlation between working full time and net personal income is a very strong 0.80. It is to no-one’s surprise that the people who do the bulk of the work earn the bulk of the income.

The correlation between being unemployed and net personal income is -0.54. That is not as strong as some might have thought, perhaps because the unemployment benefit draws a line under how poor it is possible to be under normal circumstances.

Contrary to what is arguably the biggest stereotype in New Zealand, the difference between Kiwis of European descent and Maoris in likelihood to work a full-time job is not that large. The correlation between working full-time and being of European descent was a significantly positive 0.29, but the correlation between working full-time and being Maori was not significant, at -0.22.

In fact, Maoris were more likely to be in full-time employment than the average Kiwi of Pacific Island descent. The correlation between being a Pacific Islander and being in full-time work was significantly negative at -0.29.

The big difference was in the rate of part-time employment among Kiwis of European descent. The correlation between working part-time and being of European descent was a very strong 0.83. This can mostly be explained with reference to the moderately strong correlation between working part-time and median age, which was 0.50.

In particular, there is a big cultural difference between Kiwis of European descent and Maoris when it comes to post-working life options. When a Paheka winds down from the peak of their career, they tend to take on part-time work; when a Maori winds down from the peak of their career, they tend to take on childcare duties for grandchildren or other family.

Pacific Islanders who immigrate to New Zealand generally do so to work, and the next generation that grows up in New Zealand does so with the unemployment rates that could be expected from the general level of disenfranchisement of that demographic. This explains why they there is an extremely strong negative correlation of -0.82 between being a Pacific Islander and working part-time.

Curiously, being of no religion had a stronger positive correlation with working full-time (0.40) than any of the 20 religious orientations in this study. The only religious traditions with the strongest positive correlations with working full-time were Judaism (0.28), Catholicism (0.22), Buddhism (0.13), Presbytarianism (0.09) and being a Baptist (0.01). All others were negative.

Another curiosity is that the correlation between working full-time and median age was 0.01, suggesting that working full-time is the default condition of a New Zealander.

The age bracket with the strongest positive correlation with working full-time was the 30 to 49 age bracket – this was 0.71. Interestingly, the correlation with working full-time was higher for the 20 to 29 age bracket (0.12) than for the 50 to 64 age bracket (0.00) – which puts paid to the myth of lazy youth.

The correlations with working part-time are strongest for the two oldest age brackets. With the 50 to 64 age bracket it was 0.59, and with the 65+ age bracket it was 0.49.

Another striking trend was that the better educated a person is, the more likely they are to work full-time.

Having no qualifications was the only educational level to have a significant negative correlation with working full-time – this was -0.37. For all of the people whose highest qualification was achieved at secondary school, there was no significant trend either way.

All groups of people with tertiary educations had significantly positive correlations with working full-time, the strongest being between working full-time and having an Honours degree (0.47).

Some industries were clearly more likely to employ full-time workers than others. The strongest significantly positive correlations with working full-time were with arts and recreation services (0.53), professional, scientific and technical services (0.52), financial and insurance services (0.48) and information media and telecommunications (0.44).

This probably reflects the fact that people working in these industries are high-value workers and these industries are paid well, and so there is an economic incentive for them to work as many hours as possible.

The strongest significantly positive correlations with working part-time were with agriculture, forestry and fishing (0.46), retail trade (0.38), construction (0.36) and rental, real estate and hiring services (0.35), usually for opposite reasons to those given in the above paragraph.

All of the current rhetoric about the pay gap can be dismissed with reference to one statistic: the correlation of 0.48 between working full-time and being male. There is also a significant positive correlation between working part-time and being male. Together this tells us that the majority of the paid labour performed in New Zealand is performed by men.

There is a correlation of 0.74 with being a regular tobacco smoker and being unemployed. This is very strong and hints at a number of things: being unemployed is boring, the same class of people that doesn’t work also smokes and many people who are unemployed are rendered so by psychological conditions that tobacco smoking might alleviate.

There is a significant positive correlation between being born in New Zealand and both working part-time (0.46) and being unemployed (0.26). This indicates the degree to which our immigration system prioritises letting in people who look like they have high long-term productive potential.

A significant positive correlation exists between both working full-time and taking a bus to work (0.39) and working part-time and biking to work (0.40). This reflects the fact that many more job oportunities are available in the big cities that also have bus networks, as opposed to the smaller centres in which it is more pleasant to cycle.

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This article is an excerpt from Understanding New Zealand, by Dan McGlashan, due to be published by VJM Publishing this winter.

Understanding New Zealand: Demographics of High-Skill Occupations

This article is a companion to the earlier Voting Patterns of High-Skill Occupations.

Because the sort of person who becomes a manager is the same sort of person who runs everything else in the country, including – and especially – the Government, the demographics of this occupation will tell us a lot about the sort of person who controls the power apparatus in New Zealand.

Predictably, there is a very strong positive correlation between being of European descent and working as a manager – this was 0.54. Also predictably, there was a very strong negative correlation between being a Pacific Islander and working as a manager – this was -0.60.

Some might be surprised to find out that the correlation between being Maori and working as a manager was very close to zero – namely, -0.11. In other words, it was much less strongly negative than the comparable correlation with being of Pacific Island descent.

This reflects a number of things, the foremost being that Maoris are more likely to have the necessary mana to be appointed a manager in the first place.

The ethnic demographics of professionals, by contrast, reflected educational demographics. The correlation between being Asian and working as a professional was 0.37, which reflects the fact that a professional degree is a ticket to move almost anywhere in the world you like, and that many Asians use that ticket to move to New Zealand.

Anyone who has been exposed to a Luciferian conspiracy theory recently might be interested to learn that working in a high-skill occupation is fairly strongly correlated with having no religion. The correlation between working as a manager and having no religion was 0.49, which is extremely strong if one considers that managers tend to be much older than average and that old people are much more religious than average.

The correlation between working as a professional and having no religion was 0.33, also fairly strong if one takes into account that many of the New Zealand professional class are born in highly religious overseas countries or communities (there are positive correlations between working as a professional and being any of Catholic, Jewish, Muslim or Hindu).

The major division in the high-skill group is one of age: managers are much older than professionals, for the obvious reason that the skills needed to become a manager are learned over the course of a career, while the skills needed to become a professional are usually learned before the career begins.

The correlation between median age and working as a manager was 0.43. There was a positive correlation between working as a manager and all age brackets above 30 years of age, which is understandable given that it takes time to learn how to manage a business.

The correlation between median age and working as a professional was -0.15. This was not significant but still shows that the professional class in New Zealand is very young. Mostly this was because the age brackets between 20 and 50 years of age all had correlations stronger than 0.50 with working as a professional.

This is primarily for two reasons. The first is that a recently graduated foreign professional is more strongly advantaged by the immigration system than an older one, and the second is that the tertiary education sector in New Zealand has only recently expanded and so the bulk of Kiwi professionals are only recently trained.

Professionals on average are wealthier than managers, despite being younger. The correlation between net personal income and working as a professional was 0.68, compared to 0.49 for managers.

The disparity is most evident when one looks at specific income bands. For people in the $60-70K income band, the correlations with being a manager and being a professional were about the same: for the former it was 0.54 and for the latter it was 0.56.

It was even stronger for people in the $70-100K income band: the correlation between being in this band and being a manager was 0.49 and for being a professional 0.84. It was strongest of all in the $100-150K income band: the correlation between being in this band and being a manager was 0.41 and for being a professional an extremely strong 0.88.

This tells us that there are proportionately few managers in the very highest income brackets, for the simple reason that this is where the vast bulk of doctors, lawyers, judges, psychologists etc. are.

In other words, becoming a manager is the slow route to the big time, whereas getting a professional degree is the fast route. Nowhere is this more evident than when the correlations with the higher degrees are examined.

The correlations between working as a manager and having an Honours, Master’s or doctorate degree were 0.17, 0.11 and 0.08 respectively. None of these were significant. The corresponding correlations for professionals were extremely strong: 0.93, 0.91 and 0.76.

Perhaps these differences can be explained by a natural intelligence gap. All other things being equal, a person in a high-skill occupation is going to be more intelligent than someone in a non-high-skill occupation. However, the manager class is mostly built up over time from the most suitable of people from the medium-skill occupations, whereas the professional class mostly consists of people who have been identified as specially academically talented since their first years of school.

There may be support for this supposition with a look at the patterns of tobacco smoking. The managerial class had a correlation of 0.44 with being an ex-smoker and a correlation of -0.01 with having never smoked. This suggests that they are the sort of person who is much like anyone else until they get older and find that the health drawbacks of smoking outweigh the psychological benefits.

The professional class, by contrast, had a correlation of 0.59 with never having smoked. As both ex-smokers and people who have never smoked (plus a large number of current smokers) could all tell you, never having smoked tobacco is the smartest option, if you can manage it!

Another notable difference between the two classes is that professionals have a significant positive correlation with being born overseas (0.37), whereas managers are slightly less likely than the average Kiwi to be so (-0.17).

This reflects the fact that it takes so long to work one’s way up to become a manager that it’s far easier to do if you stay in the same country. Professionals have much less in the way of such considerations.

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This article is an excerpt from Understanding New Zealand, by Dan McGlashan, due to be published by VJM Publishing this winter.

The Symbiotic Relationship Between Humans and Cats

The relationship between cats and humans goes back into antiquity

Why do people love cats so crazily much? Is it the cuteness, the companionship, the intelligence, the charm? It could be any of those things, but this article will investigate a cold, scientific proposal: that we love cats because we have evolved to.

It is believed that the cat was domesticated by humans about 6,000 years ago in Egypt. This was far from a fluke.

When semi-nomadic humans decided to invent agriculture and settle down in the Nile Delta, they found themselves faced with a set of survival challenges that simply did not exist in the nomadic world.

The most obvious was the gigantic pile of grain that they had every autumn as a consequence of the harvest. The granaries that held this harvest also held a year’s food supply for the civilisation that controlled it. This meant that securing the granaries was a matter of life and death.

So people built stone walls, metal swords, guard towers etc. and these were very effective at keeping other people away.

The biggest danger to the granaries was not other humans, though – it was rodents. Storing a gigantic pile of food in the middle of a large settlement of people naturally attracted mice and rats from all around.

This meant that effectively keeping mice and rats away from the granaries also became a matter of life and death.

Enter the cat.

The perfect solution to what was at the time an existential problem was found in the form of the Northern African wildcat, from which our domestic cats are descended.

The cats naturally preyed on mice and rats anyway, so it was only a matter of time until someone had the clever idea of taking some kittens into their home in the hope of domesticating them in the same ways that dogs and horses had already been “civilised”.

As anyone who has raised a kitten knows, it would have only been a matter of weeks before the kitten started chasing pieces of string and leaves, and then insects, and then the dreaded rodents.

From this moment onwards, all people capable of agriculture came to take cats into their homes for protection of their food from rodents, as cats did not eat grain themselves. And so, having cats had by this time become a crucial factor that determined one’s ability to live.

This alone was probably enough for people like the ancient Egyptians to start worshipping cats, and this would explain the curious repetition of cat-related imagery in Egyptian motifs.

The sacred animal status achieved by the domestic cat is probably a result of the survival advantages to humans offered by cats through pest-control

Indeed, the gratitude of humans for their feline protection from rodents was initially so great that the Egyptians founded a holy city of the cat cult in a place called Bubastis. The status of the cat was so high in this culture that if a family’s cat died they could have it buried for free in the great necropolis there.

Since these times, the human population has exploded, at least in part to the initial benefits afforded by the survival advantage of not having rodents eat all of our grain.

The human and the cat might therefore have become inextricably linked. It may now be that, without cats, we couldn’t keep the rodent population low enough for us to maintain our immense population at the number it has swollen to.

It has been argued that medieval religious superstitions linking cats to witchcraft were responsible for anti-cat persecutions that led to an increase in the rodent population that led to the Black Death. So anything that harms cats, harms us.

The meow of the cat is an interesting behaviour that provides more evidence of common evolution between cats and humans, because cats do not meow to each other and they do not meow to other animals. The meow appears to be a form of communication that only exists between cat and human.

It’s possible that cats learned to meow because they evolved to. Perhaps cats that were more vocal were more favoured by humans, and so were fed more often and therefore were more capable of reproducing.

It might also be that the capacity to vocalise emotions in the form of meowing is indicative of intelligence, and that this was selected for in cats in the same way it was in humans – through increased efficiency of behaviour.

Probably the most striking piece of evidence for the common evolution of cats and humans, however, is the incredible fondness that people have for them.

This might also be an evolved behaviour. It’s easy to believe that people who were naturally fond of cats would more easily attract them as companions, and therefore benefit more from the anti-rodent efforts than a person who chased them away.

It is also easy to believe that, given the holy status of cats in some cultures, that anyone who harmed them was dealt to by other humans, and so did not pass cat-unfriendly genes into the next generation.

Unlike the horse, who was partially replaced by the automobile, and unlike the dog, who was partially replaced by remote electronic security, there will probably always be a need for cats for the sake of companionship and pest control.

It may even be that, like in the film Aliens, we take cats with us to the stars.

Understanding New Zealand: Voting Patterns of Beneficiaries

If the general disenfranchisement rule has applied so far in this study, it could be confidently predicted that the turnout rate of beneficiaries would be considerably lower than average. As it turns out, this is only part of the truth. It turns out that some beneficiaries are much less disenfranchised than others.

Pensioners, for example, are generally very happy to turn out and cast a vote for National. The correlation between receiving a pension and turnout rate in 2014 was 0.51, and between receiving a person and voting National in 2014 it was 0.50. Pensioners were even more likely to vote Conservative in 2014 – the correlation there was a very strong 0.64.

Both of these correlations were much stronger than the correlation between claiming a pension and voting New Zealand First, which was 0.33. Many will find this surprising as New Zealand First is often pigeonholed as the pensioners’ party.

The voting patterns of pensioners reflect genuine old-school conservatism, which is why National, Conservatives and the former National MP Winston Peters do so well among them. This is also reflected in the significant negative correlations between both being a pensioner and voting Green in 2014 (-0.24) and between being a pensioner and voting ACT in 2014 (-0.30).

Perhaps oddly, the Aotearoa Legalise Cannabis Party does better among pensioners than any of the Maori-heavy parties or Labour. The correlation between claiming a pension and voting ALCP was -0.19, which, although negative, is not significant. The reason for this probably is because once a person is of pensionable age they are more likely to suffer the kind of health ailments that could be ameliorated by cannabis, and and therefore more likely to have become aware of its medicinal properties and the benefits of law reform.

The strongest negative correlation with being a pensioner was with voting Labour in 2014, which was -0.53. With voting Maori Party in 2014 it was -0.34 and with voting Internet MANA it was -0.36.

The second least disenfranchised group of beneficiaries were students. Although students are typically stereotyped as disinterested in voting, the correlation between claiming a student allowance and turnout rate in 2014 was only -0.33. Although this is significant, it is much weaker than the correlations for the unemployment and invalid’s benefits.

Above anyone else, Kiwi students love to vote Green. The correlation between claiming a student allowance and voting Green in 2014 was 0.55. This probably reflects the degree of leftist sentiment among middle-class students. The next highest was the correlation between claiming a student allowance and voting Labour in 2014, which was 0.34.

To a major extent, the patterns for the rest of the parties mirrored the fact that students are virtually always on the opposite end of the age spectrum to pensioners.

Thus, there were moderately strong correlations between being a student and voting for any of the Maori-heavy parties, except for New Zealand First. Betwen being a student and voting Maori Party in 2014 the correlation was 0.26, with voting Internet MANA it was 0.29 and with voting ALCP it was 0.17.

New Zealand First was disfavoured by students, but not significantly so – the correlation between claiming a student allowance and voting New Zealand First in 2014 was -0.18.

The two most disfavoured parties by students were, of course, National and the Conservatives. The correlation between claiming a student allowance and voting for the former in 2014 was -0.46 and with voting for the latter it was -0.51.

If students and pensioners can be generally considered middle-class beneficiaries, then invalids and the unemployed can be considered the lower-class ones.

The correlation between turnout rate in 2014 and being an invalid’s beneficiary was -0.53, and between turnout rate in 2014 and being an unemployment beneficiary it was a very strong -0.76. Considering that people in both of these groups have the time to vote, these figures speak of an immense disenfranchisement.

Predictably, then, when they did vote it was not for right-wing parties. If a Kiwi is on the invalid’s benefit, the correlation with them voting National in 2014 was -0.65, and if they were on the unemployment benefit it was a whopping -0.85.

Being on the invalid’s benefit had a correlation of -0.35 with voting for the Conservative Party in 2014 and one of -0.59 with voting for ACT in 2014. Being on the unemployment benefit was almost the precise opposite: a correlation of -0.60 with voting for the Conservative Party in 2014 and one of -0.38 with voting for ACT in 2014.

The party that lower-class beneficiaries like to vote for more than any other is the Aotearoa Legalise Cannabis Party. The correlation between voting ALCP in 2014 and being an unemployment beneficiary is a very strong 0.79, and with being an invalid’s beneficiary it is almost as strong, at 0.76.

The reason for this is that New Zealand’s cannabis laws are little more than a kick in the guts to the already poor, sick and disenfranchised.

The two next favoured parties for lower-class beneficiaries were New Zealand First and Labour. The correlation between being an invalid’s beneficiary and voting New Zealand First in 2014 was 0.69, and with voting Labour it was 0.44. They were slightly stronger for unemployment beneficiaries: between being an unemployment beneficiary and voting New Zealand First the correlation was 0.57, and with voting Labour it was 0.62.

Unemployment beneficiaries and invalid’s beneficiaries were both indifferent to the Greens, further underlying the specific appeal of that party to the middle class. The correlations between being on either benefit and voting Green in 2014 were almost perfectly uncorrelated.

The correlations between being on the unemployment benefit and voting Maori Party in 2014 (0.79) and with voting Internet MANA in 2014 (0.76) were about as strong as for voting for the ALCP. The correlations between being on the invalid’s benefit and voting for these parties was slightly weaker: for the Maori Party it was 0.59 and for Internet MANA it was 0.56.

This reflects the large numbers of Maoris on these two benefits, as well as the fact that invalid’s beneficiaries, who want cannabis for medicine, have a greater interest in cannabis law reform than the unemployed, who often want it as a recreational alternative to alcohol.

*

This article is an excerpt from Understanding New Zealand, by Dan McGlashan, due to be published by VJM Publishing this winter.

The Polish Intelligence Defence and VJM Publishing

The Polish Intelligence Defence, as described by Ben C. Vidgen in State Secrets [Second Edition now available for purchase!], is based around the idea of explicitly not keeping secrets. The concept is mentioned in the introduction of book but, cryptically, is not explained until the last chapter.

The essence of it is, as Vidgen puts it, “The Polish collected secrets pretty much off everyone, which they then promptly turned around and pretty much well gave away to everyone.”

Note that this does not involve being selective about telling some secrets and keeping others, otherwise known as the tendency to employ half-truths. The Polish Intelligence Defence relies on keeping no secrets, no matter whose.

If you don’t have secrets, then no-one has secrets!

VJM Publishing operates on a similar principle. Our objective is to bring knowledge to those who have seen beyond – and neither do we benefit from keeping secrets.

An eternal war exists between the force of truth and the force of lies: and VJM Publishing stands ready to serve as armourer. Understand, however, that we have no interest in telling you what the truth is. We are merely offering tools that can be used to distinguish truth from lies, and instructions on how to use them.

As Vidgen writes, “This modern interpretation of the term intelligence, with its obsession for secrecy, has taken over the entire purpose with which a nation has/or should have an intelligence service in the first place.”

After all, the purpose of a national intelligence service should not be to keep from the people the secrets of the Government (and this is what State Secrets is about). If anything, it is about keeping the people safe from all enemies, without or within.

Likewise, the purpose of a publishing company should not be to act as a mouthpiece for any special interest that wants to shove their propaganda into the mainstream consciousness, as immensely profitable as that may be.

The purpose of a publishing company should be to bring knowledge to people – if a person is willing to pay money for a book then making the trade a fair one necessitates that they are given a useful piece of knowledge in exchange.

VJM Publishing is proud to release a second, revised edition of State Secrets, for the reason that it is a book that tells a story New Zealand needs to hear. As described in the Second Edition Foreword, State Secrets was (and is) a very insightful book, not just for the details of what was happening on the ground but also for the noted trends that continued.

We believe that, if presented with the right information honesty and without a slant or agenda, people are naturally intelligent enough to make correct decisions. As a result, we agree with the spirit of the Polish Intelligence Service. Indeed, as an underground publisher, it is in our interests to.

The hope is that publication of the second edition of State Secrets will increase the standard of political discussion and debate in this country – something which is terribly and tragically lacking.

Indeed, it could be argued that the abysmal quality of political debate and analysis in New Zealand is the result of a deliberate attempt by certain forces to destroy our political culture and to retard our intellectual development through any and all forms of media.

Understanding New Zealand: Voting Patterns of Low-Skill Occupations

The low-skill occupations break down into machinery operators and drivers and labourers. These are generally occupations that can be taken up with a minimum of previous training.

Because people working in these occupations have a very high proportion of Maori, their voting patterns inevitably reflect positive sentiment towards the Maori-heavy parties. All four of these parties did better among people in this group than the Labour Party, except for the one case of voting Internet MANA in 2014 and working as a machinery operator and driver.

New Zealand First is the favoured party for those working in low-skill occupations. Voting New Zealand First in 2014 had a correlation of 0.64 with working as a machinery operator or driver, and a correlation of 0.60 with working as a labourer.

Voting Maori Party in 2014 had a correlation of 0.52 with working as a machinery operator or driver, and one of 0.49 with working as a labourer. It was slightly weaker for Internet MANA: voting for them had a correlation of 0.43 with working as a machinery operator or driver, and one of 0.34 with working as a labourer.

The strongest correlations with any party, however, were with the Aotearoa Legalise Cannabis Party. Working as a machinery operator or driver had a correlation of 0.65 with voting for the ALCP in 2014, and working as a labourer had a correlation of 0.71 with voting ALCP in 2014.

This is probably because cannabis use is characteristic of the societal outsider, and people who work low-skill occupations are very often outsiders for a variety of reasons, such as not being native English speakers, or being from families where education was not considered important, or because they have an illness that makes employment in an occupation of greater responsibility impossible.

It’s also at least partly because people in low-skill occupations are paid so poorly that it’s easy to decide to just not give a shit anymore.

Voting for the Labour Party in 2014 had a correlation of 0.51 with working as a machinery operator or driver, and this reflects the degree of union influence at the sort of workplaces likely to employ people in these occupations. This contrasted with the not signficant correlation of 0.13 between voting Labour in 2014 and working as a labourer.

Exposing the degree to which the Greens represent primarily middle-class urban elites, there was a moderately strong negative correlation of -0.42 with working as a machinery operator or driver and voting Green in 2014. This was not quite as strong for labourers, for who the correlation was -0.21.

Evidently, few people working in these occupations have an interest in environmentalism or international affairs.

These negative correlations for the Greens are striking because they are even stronger than those for the Conservative Party. The correlation between voting Conservative in 2014 and working as a machinery operator or driver is -0.25, and with working as a labourer it is only -0.09.

At first it might not be clear why a party with pretensions to stand for the poor and vulnerable gets less support from a major group of the poor and vulnerable than a party who openly does not care at all about either.

Those doing it hard are very rarely persuaded to vote National or ACT, and those working in low-skill occupations are not exceptions. Working as a machinery operator or driver had a correlation of -0.55 with voting National in 2014, and one of -0.52 with voting ACT in 2014. Working as a labourer had a correlation of -0.33 with voting National in 2014, and one of -0.61 with voting ACT in 2014.

Concomitant to the general disenfranchisement of people working in low-skill occupations is a low turnout rate. The correlation between working as a labourer and turnout rate in 2014 was -0.36, and between working as a machinery operator or driver it was a strong -0.65. This was probably because a much higher proportion of labourers are of European descent compared to machinery operators or drivers.

*

This article is an excerpt from Understanding New Zealand, by Dan McGlashan, due to be published by VJM Publishing this winter.

Paperback Version of State Secrets (2nd Ed.) Released on Amazon!

The paperback version of the second edition of State Secrets is now available for sale! BUY IT HERE!

At a critical crossroads in New Zealand history, VJM Publishing has released the second edition of New Zealand best seller State Secrets by author Ben Vidgen. Read retrospectively, the 1999 book is essential reading for anyone wanting to understand what is now happening in the country known as Aotearoa.

State Secrets correctly forecast the emergence of major threats to New Zealand national security (and its status as a genuinely democratic state). Threats which come from the rise of multinational trade blocs intent on accessing New Zealand’s considerable natural resources.

The agents of these threats, Vidgen maintains, are supported by neoliberal political elements within and outside New Zealand’s own Government, such as its media structure, quick to take advantage of the simultaneous rise of a highly dangerous violent criminal class within New Zealand.

The 1999 book argues the rise of organised crime in New Zealand is nothing less than a second front in an economic war being deliberately waged on New Zealand sovereignty by those who seek to end New Zealand democratic traditions from the shadows.

For example, State Secrets demonstrates how large scale money laundering and white collar tax evasion was rife long before New Zealand was named in the Panama Tax haven bank scandal more than 60,000 times in 2016. State Secrets argued, well ahead of the mainstream pundits, that New Zealand’s role as the largest “washing machine” in the South Pacific was having an impact on the housing market and the New Zealand way of life.

Viewed in hindsight, the analysis – written by a veteran New Zealand investigator, with a research background in academic political science and New Zealand military intelligence – was dead on the bulls-eye every time.

State Secrets forecast the failure of the war on drugs, predicting a massive surge in the meth trade, financed by white collar businessmen, being simultaneously tied to the super escalated growth of American styled super gangs. A claim then considered unlikely but now indisputable for anyone who read the headlines today.

State Secrets correctly assessed that the collateral damage of this ‘evolution’ of New Zealand organised crime would serve to make lower socio-economic communities dysfunctional and would disempower swathes of the wider population as its impact overwhelmed the capacity of our health, education, social services and correctional services – in the process conveniently enhancing the argument for privatisation.

State Secrets identifies the enemy within: a neoliberal American and New Zealand Business Round Table alliance who today can be found to have dug their fingers deep into all sides of the New Zealand Parliament (and increasingly the state judiciary and security forces), the political spectrum, and even its underbelly.

It is driven by the motives of those addicted to the lust for absolute power and maximum profit. Forces seduced, as State Secrets forecast, pre 9/11, by the largely self-made (self-armed) bogey monster of terrorism.

The enemy within chooses to ignore dealing with the real threats New Zealand faces by placing control on foreign investment and New Zealand, notoriously relaxing banking and company law.

Instead it seeks to opportunistically erode New Zealand civil liberties and strengthen a transformative State: one full of secrets which has broken its covenant with the people, serving a corporate master at the expense of the rest of New Zealand.