Category: society

Understanding New Zealand: Demographics of Flag Referendum Voters

Given what is already known about the demographics of the various party voters, we can tell a lot about who supported the flag referendum just by looking at the correlations between voting for a given party and one of three other major variables.

The first major variable is the turnout rate in the first flag referendum.

The correlation between turnout rate in this first referendum and voting National was a very strong 0.86. That is enough by itself to suggest that the bulk of the people who did end up voting in it were National supporters.

The correlation between turnout rate in 2014 and voting National was, however, 0.76, so we can see that the people who voted in the first flag referendum were mostly those who are generally inclined to vote whenever they can. This was also true for Conservative Party supporters, who had a correlation of 0.70 with turnout rate in the first flag referendum.

Green, ACT and New Zealand First voters were only mildly interested. The correlation between turnout rate in the first flag referendum and voting Green was 0.07, with voting ACT it was -0.01 and with voting New Zealand First it was -0.21. None of these were significant.

Labour Party voters were almost entirely indifferent to the whole idea. The correlation between voting Labour in 2014 and turnout rate in the first flag referendum was a very strong -0.84.

This was something broadly shared by all of the Maori-heavy parties. The correlation between turnout rate in the first flag referendum and voting for both the Maori Party and Internet MANA was -0.67, and with voting for the Aotearoa Legalise Cannabis Party it was -0.55.

Predictably, given these statistics, it was mostly Kiwis of European descent who were interested in the first referendum. The correlation between being of European descent and turnout rate in the first flag referendum was 0.85.

The correlation between turnout rate in the first flag referendum and being either Maori or a Pacific Islander was -0.65, and with being Asian it was -0.27.

Perhaps the most striking correlation of all is that between turnout rate in the first flag referendum and turnout rate in 2014 – this was an extremely strong 0.90. Those who like to vote tend to take every opportunity they can to actually do it.

There was also a correlation of 0.89 between turnout rate in the first flag referendum and median age.

The correlations between wealth and turnout rate were significant, but only marginally so.

All of the income bands above $70K were significantly positively correlated with turnout rate in the first flag referendum, but only marginally so – the strongest of them was 0.31. None of the income bands below $70K had a significant positive correlation with turnout rate in the first flag referendum.

By contrast, all of the income bands below $10K had a correlation of -0.50 or more strongly negative, the strongest of all being for those who had a negative income. The correlation between being in this income bracket and turnout rate in the first flag referendum was -0.84.

Likewise, the correlations between education and turnout rate bordered on statistical significance.

Although there were significant positive correlations between turnout rate in the first flag referendum and having either an Honours degree (0.25) or having a doctorate (0.27), this was true for neither a Bachelor’s nor a Master’s degree (both 0.13).

Mirroring this, the correlation between turnout rate in the first flag referendum and having no academic qualifications was not especially strong, at -0.28.

One of the strongest correlations of all was between turnout rate in the first flag referendum and living on freehold land: this was 0.87.

All of this gives us a clear picture. The sort of person who turned out to vote in the first flag referendum was the same sort of person who is most heavily involved in running the country: rich, old, white and National voting with leisure time.

The second major variable is the turnout rate in the second flag referendum. Here it is only really meaningful to speak of the differences in voting pattern to the first flag referendum.

Although the second flag referendum was still mostly a vehicle for Kiwis of European descent (the correlation between the two demographics strengthened from 0.85 to 0.88), the people who turned out for it tended to be more Maori. The correlation between turnout rate in the second flag referendum and being Maori came in to -0.57 from -0.65.

Against this, turnout rate for the second flag referendum faded among Pacific Islanders and Asians. This may have been because the further the process wound on, the more likely the least established Kiwis were to drop out of it.

People who voted Green were also less likely to turn out in the second flag referendum. The correlation between the two fell to 0.02 from the 0.07 of the first flag referendum. This was probably because the correlation between being in the 20-29 age bracket and turnout rate fell from the -0.41 of the first flag referendum to the -0.50 of the second.

All of this reflected the fact that the second flag referedum saw a considerably higher turnout rate among those who did not want to change the flag. The correlation with voting to change the flag fell from 0.86 for the first flag referendum to 0.80 for the second.

The third major factor is the percentage of people who voted to change the flag.

These people were almost all National voters. The correlation between voting National in 2014 and voting to change the flag in the second flag referendum was a whopping 0.95. This is an extremely strong correlation, and it tells us that basically the only people to even vote to change the flag were died-in-the-wool National voters.

Maoris really didn’t want to change the flag – the correlation between the two was -0.77. These numbers suggest that there was a small core of Maoris who knew from the beginning of the process that they didn’t want to change the flag, but who waited until the second flag referendum to voice their disapproval.

Asians were a curiosity, because they had a negative correlation with turnout rate in either referendum, but a slightly positive correlation of 0.11 with voting to change the flag.

Some will find it very curious that the old were much more likely to vote for change than the young, which goes against the usual pattern of the old being more conservative.

The correlation between being aged 65+ and voting to change the flag was a very strong 0.62, which is amazing if one considers that one of the arguments for keeping the flag in the first place was that old people had become accustomed to it over many years of living under it.

For their part, the young preferred to keep the flag. The correlation between being in the 15-19 age bracket and voting to change the flag was -0.53.

Some might find these latter points extremely interesting, because they support anecdotal evidence from overseas suggesting that the generation to follow the Millenials – those who some have dubbed Generation Z – are more conservative than their immediate predecessors.

This question will be revisited in the second edition of this book, to be written after the 2017 General Election!

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

The Government Giveth; The Government Taketh Away

There was some excitement in the New Zealand cannabis community this week after the news that the Government would remove restrictions on doctors who wanted to prescribe cannabidiol (CBD) in the form of an oil. It was the first admission from the Government, ever, that cannabis actually had medicinal value, and for this reason it was significant.

Those of us who are not enamoured of politicians are naturally eager to point out that, after twenty years of sick Kiwis being completely ignored when it came to the cannabis question, progress is only now being made in the foreshadow of a general election.

Neither are we surprised to see hordes of Green Party hacks swarm the battlefields of social media to play down the magnitude of this change. The consensus tactic appears to be describing the changes as “not medicinal cannabis”, despite the fact that CBD is the component of cannabis that has shown by far the greatest medicinal promise.

After all, it’s important for the Green Party – now that the will of Kiwis for some cannabis law reform is undeniably clear – to craft a narrative of having been at the forefront of cannabis law reform all along.

Politicians being what they are, the Greens will deny at all costs the truth: that they sucked up cannabis law reform votes from 1999 and gave back nothing but contempt, until a few months before Peter Dunne (of all people) changed the law himself, without Green Party input.

All of this shitfighting distracts, and is intended to distract, from the fact that if the Greens do get into Government and change the cannabis laws to something intelligent and reasonable, they will, at the same time, make some other aspect of legislation stupid and unreasonable – and this is the necessary flipside of the deal.

The Government giveth; the Government taketh away. This is the nature of politics. The Government never simply gives freedoms back to the people it manages.

We are losing rights now, and will continue to lose them into the future, because the Government and all parties running for Government are in agreement about taking away our rights to use tobacco.

Many people have been able to predict that we will get legal cannabis at the same time as we lose legal tobacco. The rhetoric from the Government is for a “Smokefree New Zealand” by 2025, and we know that they will pursue this futile goal (previously described by this column as a sadistic idea dreamed up by morons) with the same mindless zealotry that they did the goal of making New Zealand cannabis-free.

And it will be equally as futile. Tobacco may be less fun to smoke than cannabis, but people still do it – not because they are “addicted”, as our moronic mental health establishment would have it, but because tobacco has a strong medicinal effect to people suffering from a wide range of mental problems, in particular psychosis and/or excess anxiety brought about from complications of trauma.

Statists and control freaks everywhere are mewling: “But we used to think tobacco was medicinal, but now science has advanced and now we know better.”

But this was exactly what they said when they made cannabis illegal.

Cannabis has been widely used by humans for centuries, and the propaganda against it early this century was all based on a two-pronged attack: first, deny any and all benefits of the substance, no matter how obvious; and second, attribute any and all detriments to the substance, no matter how peripherally related.

And so, in much the same way that we just had nearly a century of hearing that cannabis causes psychosis and schizophrenia and brain tumours and amotivational syndrome and blah blah blah, and how all of the positive effects that people had noticed from cannabis use were really just delusions brought about by the psychotogenic effects of the plant, now we’re going to hear all the same rubbish about tobacco.

Mental health patients will continue to tell politicians and doctors that tobacco use significantly alleviates their suffering, as it has done for mentally ill people for centuries, and they will increasingly be ignored as the devotion to the righteousness of the crusade against tobacco overrides all logic and reason.

We’re sure we banned the right thing this time!

Of course, at some point in the future we’ll get legal tobacco back, because the suppressed mental health benefits of its use will at some point be rediscovered, and then another campaign of spending decades trying to talk basic commonsense to goat-stubborn morons and brainwashed doctors will begin.

And when that process ends, we will lose legal alcohol, probably on the grounds that it causes too much violence and brain damage. At this point, the massive social and emotional benefits of alcohol will be suppressed and forgotten.

The Government giveth; the Government taketh away.

Understanding New Zealand: Demographics of Income

Some demographic patterns of income will already be apparent from voting patterns, and others are well-known by all, but this section will go into details.

There is a significant correlation between median age and median personal income – this was 0.27. Many will have expected this correlation to be stronger, in much the same way that the correlation between median age and voting National in 2014 was much stronger. But age is not as closely correlated with wealth as other demographic factors are.

Indeed, while there were significant negative correlations between being in any of the age brackets 19 years or below, this can be simply explained by the fact that this age group is generally too young to work.

The correlation between being in the 20-29 age bracket and median personal income was essentially uncorrelated at 0.04. Of course, people in this age band will nonetheless end up with less money than the average Kiwi on account of paying relatively more of their income in rent.

The vast bulk of the income received by anyone in New Zealand is received by the 30-49 age bracket, which had a correlation with median personal income of 0.73. This is actually the only age bracket to even have a significant positive correlation with median personal income.

The correlation between being in the 50-64 age bracket and median personal income was 0.18 – positive but not significant. This age bracket may contain a large proportion of the people who are in highly paid C-suite positions, but the absolute numbers of these people are small, and they are outnumbered many times over by the people in this age bracket who have wound down to part-time work.

Being in the 65+ age bracket had a correlation of -0.02 with median personal income. Although this is actually less than what people in the 20-29 age bracket get, people who are 65+ are far more likely to live on freehold land, and as a consequence their expenses will be relatively low.

Kiwis of European descent were the only ethnicity to have a significant positive correlation with median personal income – this was 0.35. Asians, however, were marginally significant at 0.22.

Being a Pacific Islander had a correlation of -0.29 with median personal income, and being Maori had one of -0.48, which tells us that the average Maori is a fair bit poorer than even the average Pacific Islander, probably a reflection of the fact that it is more difficult for the Pacific Islander underclass to migrate to New Zealand.

The religious tradition with the strongest positive correlation with median personal income was Judaism, at 0.63. Buddhism and Catholicism were next, with correlations of 0.32 with median personal income, and then was no religion with a correlation of 0.27.

These correlations mostly reflect that people of the first three religious traditions are especially likely to have immigrated to New Zealand on the basis of the points system, which gives bonus points to any applicant that has a degree.

The significant positive correlation between median personal income and no religion was mostly because of the fact that the indigenous New Zealand subcultures that value education the most are the same ones that are most likely to reject religion.

Further underlying the point that our immigration system makes it easier for people with degrees to move here, we can see that there is a correlation of 0.53 between being born in Britain and median personal income, and a correlation of 0.33 between being born in North East Asia and median personal income.

Similarly, the correlation between median personal income and being born overseas in general was significantly positive, at 0.34.

Education is clearly the decisive factor, above anything else, that explains most of the variance in the incomes of New Zealanders.

The correlation between having no academic qualifications and median personal income was a very strong -0.68, and the correlation becomes more positive with every step upwards in education all the way up to having an Honours degree, which had a correlation of 0.72 with median personal income.

The crossover point was close to what used to be known as 7th form – the correlation between having a highest educational qualification of NZQA Level 3 or 4 and median personal income was 0.12.

What this describes is a very simple pattern: generally speaking, the greater a person’s intellectual capacity, the greater the responsibility they will be capable of competently discharging, and the greater the responsibility so discharged the greater the renumeration they will receive.

Basically the entire taxpayer-funded educational system is predicated on this pattern and it is fundamental, not just to New Zealand, but to human life.

The industry that had the strongest positive correlation with median personal income was scientific, technical and professional services – this was 0.76. Other well-paid industries were financial and insurance services (0.69), information media and telecommunications (0.54) and rental, hirinig and real estate services (0.49).

Naturally, these are the industries that have the most highly educated workers.

Being male was right on the border of being significantly positively correlated with median personal income, at 0.23. If one takes into account that men are more frequently active in the labour force than women, then the lack of significance of this correlation tells us the idea of the “gender gap” in renumeration is overstated.

Underlining the degree to which median personal income is correlated with education, which is a proxy for intelligence, we can see that median personal income also correlates strongly with other correlates of intelligence.

For example, the correlation between median personal income and being a regular smoker was a strongly negative -0.61, whereas with never having smoked it was 0.57.

Contrary to the stereotype, people who take the bus to work have a higher income than those who take a private vehicle to work. The correlation between median personal income and the former is 0.51, and the correlation between median personal income and the latter is -0.24.

Some will find this very surprising, but the fact is that people who live and work in major urban centres have much better access to both bus services and to the jobs that pay the highest wages, and the opposite is true of people who live in smaller centres where taking a personal car to work is more viable or necessary.

The occupation with the strongest positive correlation with median personal income was professionals at 0.68. Next were managers at 0.49 and clerical and administrative workers at 0.43.

The occupation with the strongest negative correlation with median personal income was machinery operators and drivers at -0.59. Next were labourers at -0.51 and community and personal service workers at -0.31.

It doesn’t really make a difference which island you live on – the correlation between living on the South Island and median personal income was 0.03.

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

Toxic Femininity

Feminazis and cucks are always screaming about toxic masculinity. The concept, according to Wikipedia, “describes standards of behavior among men in contemporary American and European society that encourage domination and control of others while being opposed to intellectualism and emotional sensitivity.”

It’s apparent to any reasonable person who reads this that the concept is fundamentally dishonest, because nothing about the behaviours described above are exclusive to either men or to Westerners.

The concept is fundamentally dishonest because it is not intended to describe any part of reality in a scientific sense. The intent of the concept is to advance the political goals of the person advocating it, not to contribute to the sum total of human knowledge through intellectual inquiry.

However, as above, so below: the concept of toxic masculinity, valid or otherwise, has a mirror image in toxic femininity.

The nature of the masculine is to go outwards and into the material world. Naturally this manifests as a desire to put the material world to order. This is not the same thing as trying to control the outside world, although the two do overlap.

The characteristic emotion of masculinity, then, is anger, and this manifests as physical violence, which basically everyone recognises as bad.

The nature of the feminine is to go inwards and into the mental world. The characteristic emotion of femininity, then, is fear, and this manifests as emotional violence, which very few recognise as bad.

Where a man is more likely to hit someone in order to control them, a woman is more likely to psychologically abuse someone in order to control them.

This emotional abuse takes different forms to physical abuse. The emotional abuser prefers to lay a guilt or shame trip on their victim, coercing them into the desired behaviour by stoking fears of social rejection. The abuser will detail disappointment, shame or embarrassment that they attribute not to their desire to control, but on the actions of their victim.

Another source of emotional violence is dishonesty. After all, to lie to someone is to do them a psychological violence (this is routinely denied by the liars themselves).

The major source of dishonesty in the world is politics, or, more precisely, the desire of certain humans to remake the entire world in their own image (which is all politics is). Because this desire naturally brings egotistical people into direct conflict with others who want to remake the world in their image, a lot of lying about it has sprung up.

For example, the feminazis who shriek about things like toxic masculinity will never admit that they are doing so for political reasons. In particular, they are trying to shift the balance of the culture towards the feminine, for the sake of their own gratification, not that of the wider society.

Claiming that being “opposed to emotional sensitivity” is necessarily “toxic” is a value judgment, not a scientific description of reality. It is a political statement, not a psychological or sociological one.

After all, there are plenty of reasons why emotional sensitivity might be discouraged. It’s not just a simple matter of hardening up for the rigours of a battlefield. Emotional sensitivity is the opposite of emotional stability, and emotional stability is desired by all because it keeps things in good order.

It is not a coincidence that being emotionally sensitive will also leave a person more vulnerable to strategies of emotional coercion and abuse.

This tendency to conflate emotional stability with patriarchal oppressive male domination brings us close to a definition of toxic femininity.

Some have described the pattern of toxic femininity, perhaps without being aware that they had done so, as “feels over reals”. Extrapolating this with what we know about the association between femininity and dishonesty, we can define toxic femininity thusly:

“A specific model of womanhood, geared towards dominance and control. It’s a womanhood that views men and boys as inferior, sees conversation not as an act not of affection but domination, and which valorises emotional violence as the way to set the world to order.”

In other words, females are equally capable of being toxic as males, and for the same reasons. The only difference is that females tend to use indirect methods.

As described above, toxic females are more than happy to use emotional abuse as a method to impose control and to remake the world in their image.

Their conceit is that this emotional abuse is either 1) not really abuse because it is non-physical, or, 2) causes categorically less suffering than the physical abuse preferred by males and is therefore categorically less blameworthy.

As any reasonable person will have concluded by now, this is utter bullshit.

Leaving aside the politics and related bullshit for a second, it’s possible that the concepts of toxic personality types have some use.

The important thing is to first and foremost learn to identify toxic individuals, because toxic individuals are capable of expressing their nature in either masculine or feminine ways, regardless of whether that person is male or female.

An understanding of toxic femininity might make this easier to do, because if only masculine behaviours are considered toxic a person leaves themselves wide open to abuse by feminine methods.