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Separating sex and gender is statistical malpractice – Notes from a data witch

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On August 11 2026, it will be Census night in Australia. The Census is an important instrument for collecting data on the Australian population, and informs policy decisions at every level. It is conducted by the Australian Bureau of Statistics, and they are an extremely professional organisation that takes their work seriously. Every time a new Census is conducted, they reconsider the questions it asks and will make changes from time to time in order to suit a policy environment that changes over time. They are diligent, and they research their questions very carefully.

For the 2026 Census there are two new optional questions that have been introduced, applicable only to people over the age of 16. Both of these questions relate to Australia’s LGBTQIA+ population. One of the new questions allows people to specify their sexual orientation. This post is not about that question.1 Rather, I want to talk about the second question, which allows people to specify their gender identity if they would like to.

The intention behind the two questions is clear: the sexual orientation question has been added to allow policy decisions about the LGB population to be informed by the census, whereas the gender identity question exists to inform policies related to the T subgroup of the LGBTQIA+ population. These questions were added on the advice of academics, LGBTIQA+ advocacy organisations, and they have been extensively praised in the progressive, left-leaning, and queer media (e.g., here, here, here, and here). Taken at face value, you would be tempted to conclude that the new gender identity question is a step forward for transgender inclusion in Australia.

It is not. In this post, I hope to convince you of the exact opposite claim: somewhat counterintuitively, the new question is catastrophically bad for transgender people. It is dangerous, it puts our safety at risk, and borders on statistical malpractice. It should not have been added, and in future it should be removed.2

An anecdote

I’ll start the post with an anecdote to illustrate why I am making this claim. A few weeks ago I had to find a new GP. I’d been with the same practice for many years and was happy with them, but I’ve moved apartments and needed to find something closer to home. After a little research I discovered one extremely close to where I live, so I decided to make an appointment to get a prescription renewed. As with all medical practices, this one has a patient intake form. Because it is the 21st century, the form was online. Being a diligent person I started to fill it out. Within minutes I ran into a problem: just like the forthcoming ABS Census, the clinic separates sex and gender on their forms. In fact, the wording on the questions was almost word-for-word identical to what the ABS now puts on the Census:

  • Question 1 (mandatory): What is your sex, as originally recorded on your birth certificate? Response options are limited to “male” and “female”.
  • Question 2 (optional): How do you describe your gender? Several options were presented, including many that are appropriate for trans people.

There was also an optional question about pronouns, but it’s not relevant to the story.

As a middle-aged trans woman who transitioned over a decade ago, and who has a lot of professional experience with the collection of confidential medical data, psychological measurement, and a lot of direct personal experience with how organisations handle data that pertain to transgender people, I stared at these questions with a sense of utter dread. Everything in my professional and personal experience screamed at me that the correct thing to do here was to lie on the birth sex question3 and select “female”. But my conscientiousness overruled my better judgement and I did as I was asked. I selected “male”.

Within 24 hours, the medical practice had nonconsensually disclosed my transgender status to third parties who have absolutely no right to this information. This is of course a blatant violation of medical ethics, but those ethical standards don’t seem to apply to transgender people: our privacy does not get taken seriously, and I confess that I am rather bitter about it.

How did this happen? You might be tempted to think that it must have been malicious. Perhaps I had a bad doctor, one who does not take her professional responsibilities seriously. This is not what happened at all. What happened is something much, much worse: the underlying database that stores the intake data is configured incorrectly,4 and systems that interact with that database will leak transgender status by design. It is not a “one bad apple” problem: the entire infrastructure that underpins the “sex/gender” data collection is broken, and dangerously so.

Here’s the mechanics of how it happens. Internally, the database stores sex and gender as separate fields, mirroring the intake form: there is a sex field that records the birth sex information. It can have only two values, M or F. There is also a gender field that records the optional gender question, and it can have a wider range of values. When the GP logs into her software, the information that is displayed on her screen displays the gender field. From her perspective, looking at this screen, there are no issues: the screen is not misgendering me, and it helpfully also shows her my pronouns. However, when she prints out a form for some blood work that I need to get done with a pathology lab, what gets printed is the sex field. In practice, doctors never actually look at those forms because they are so routine, so she did not notice.

This is where the breach happens. My GP does need to know my transgender status,5 because one of the things I talk to her about are the medications I take for my HRT. The pathology lab, on the other hand, does not need this information.6 7 It is a breach of confidentiality for a GP to disclose a patient’s transgender status to a third party, in exactly the same way that it would breach confidentiality to print sexual orientation on that form. But that’s exactly what happened. In everyday life, people rarely notice that I’m transgender, and I prefer it that way. I am not comfortable sharing this information with every person I happen to interact with: it is private data. If my doctor prints “male” on a form that I have to share with someone else, it outs me to that person without my consent.

When my GP printed out that form I spotted the issue immediately, because I knew exactly what was going to happen from the moment I filled out the intake form and was waiting for it. I pointed this out to her, and highlighted that it is a breach of privacy to print that information on the form but there wasn’t much she could do about it: once the “birth sex” field has been defined it is baked into the database, and every linked system will treat it as public data rather than private. My doctor is not transphobic. But the intake form and the IT infrastructure upon which her practice relies are transphobic by design.

I have seen this happen over and over again, across many different systems. The moment you separate sex and gender on the data collection instrument, it is inevitable that your database will leak people’s transgender status and violate their privacy. I’ll talk more about why it happens, and the well-intentioned but misguided reasons why this situation happened, but before I dive into all that I want to emphasise the core point. If you take only one thing from this post, I would like it to be this:

You should never separate sex and gender on a form. Collecting information about people’s birth sex is dangerous for transgender people, and it is statistically and ethically irresponsible. You are in breach of your professional responsibilities if you do this.

Databases almost always treat sex as public data.8 If you collect birth sex data, you will inevitably out every transgender person who participates in your survey. Indeed, this is the precise reason that other countries (notably the US and the UK) are pursuing the exact same policy: they are doing it to force transgender people into dangerous situations. They are doing it out of malice; Australia is doing the exact same thing out of stupidity.

Why did that happen?

The anecdote I just shared is just one instance, but it’s an experience that transgender people in Australia are starting to encounter more and more (e.g., here). Administrative systems all over the country are starting to create a distinct “birth sex” field in their databases, and they keep that field separate from the “gender” field. Almost every story I have heard is the same as mine: the database splits the two fields to support the “sex and gender” data collection, and then later on another subsystem queries the wrong field and shares someone’s trans status to a third party who should not have access to that information.

Given how severe the problem is (it has been a feature of almost every data storage system I’ve encountered that separates sex and gender), it’s worth asking how otherwise-competent people tried to do something trans-inclusive, and instead built a system that violates transgender people’s privacy on a mass scale.

I don’t know all of the history, but I know some of it. It is awkward for me to say it, but the blame largely lies with LGBTIQA+ advocacy organisations who don’t know enough about the practicalities of transgender data, academics who don’t understand the risks that transgender people face in the real world, and the ABS who – despite their many, many virtues – are thoroughly ill-equipped to handle the nuances of this issue.

During the process of designing the data collection standards that are now causing all these problems, a lot of people were consulted: the Australian public, statisticians, transgender people, social scientists, people who work with confidential data, etc. You know who wasn’t consulted? Australian transgender statisticians with specific expertise in social science and confidentiality issues that attach to private medical data. They would be the optimal group to consult because they would have the most insight into how all the different aspects interact. But they weren’t, and in fairness I can understand the oversight. It’s a small demographic.

It’s entirely possible that I am the only person in it.9

The 2020 ABS standard

In my opinion, the root cause of the problem goes back to the 2020 ABS standards. Discussions and advocacy around these standards took place many years before they were finalised: I recall having a number of conversations with colleagues at UNSW about what should be included as far back as 2016. The standards themselves specify a 4-part data collection regimen, but for the purposes of the current post the key thing to recognise is that this is the place where the ABS formally asserted that it is best practice to separate sex from gender on data collection instruments.

These standards and this advice were designed with all the best of intentions. During the whole process leading up to it, I never encountered someone hostile to trans people.10 As terribly as it has played out on the ground for transgender people, that consultation process was not done with any malice. It was naivete and a lack of relevant competence, plain and simple.

The failure happened because people who designed these standards never even considered what would happen when an ordinary GP equipped with an ordinary IT system tries to follow the ABS standard. The catastrophic data leakages that are happening everywhere in the country at the moment are a direct consequence of people implementing the ABS standards in situations where those standards are entirely inappropriate, and using IT infrastructure that isn’t fit for purpose when the sex/gender split exists in the data set.

It should have been foreseen, but almost nobody did foresee it. As it happens I was one of the few who did, but I cannot claim any special wisdom and in any case I was only very tangentially involved in the process. The only reason I saw it coming was that I was a statistician, programmer, and behavioural scientist transitioning within the academic system at the precise moment those conversations were taking place at UNSW.11 I’d had the horrible experience of watching as the IT infrastructure at UNSW turned out to be utterly incapable of preventing the data leakage from happening. It wasn’t designed to handle the existence of transgender staff members, and despite having all my HR records correctly updated it would leak my trans status everywhere because ancillary systems didn’t synchronise correctly.12 My thinking was very simple: if an organisation as dedicated and well-resourced as UNSW is incapable of preventing data leakage relating to transgender status, it is an absolute certainty that smaller organisations will be even less capable. So I became very cautious on this topic, and my advice to people went down a very different path to what the ABS (and later, all the Australian medical agencies) went down. My advice was this:13

If you are a smaller organisation and do not have a deep, mission-critical need to know the transgender status of every person who you interact with, the best practice is to never ask about birth sex in the first place.

If your database does not include birth sex or transgender status, systems that interact with that database cannot leak it. If you have ever taken a GDPR training course, you will already be aware of this as a fundamental principle. Do not collect data you do not need, and birth sex is almost never something you need.14

Mission creep from medical agencies

Looking back at the 2020 ABS standards with some hindsight, I would have to say that while those standards are the root cause of the problem that trans people are now grappling with on the ground in 2026, the ABS isn’t most at fault here. The problem “went mainstream” once other organisations started to uncritically adopt the ABS standards, and promote them in contexts that go well beyond what the ABS itself does. The worst offenders, in my opinion, have been medical organisations. For example, medical research funding organisations like the NHMRC chose to treat the ABS standards as best practice guidelines for collecting sex/gender data, and – as far as I can see – failed to do their due diligence on this matter. I’ll quote the NHMRC directly here, because I want to emphasise how influential the ABS standards are outside the context of the data collected by the ABS itself:

We encourage use of the ABS 2020 Standard and associated guidance on data collection and analysis by researchers in all research projects, along with adherence to the Privacy Act 1988, as appropriate. The ABS 2020 Standard is designed to collect demographic information on the Variables and routine use of the Standard across research projects will enable consistent and comparable data to be collected.

This is terrible advice.15 It is flat out wrong, and it was inappropriate for the NHMRC to make statements like this. The 4-question format laid out by the ABS standards is designed for the ABS to use, and its core purpose is to collect as much information around sex, gender, orientation, and variation of sex characteristics as possible. This is almost never the correct approach for academic researchers to adopt in their typical research project. In psychology, for instance, you almost never need all four of these variables: usually you only want gender, and your study should not collect data beyond what it needs. Even in medical contexts, we rarely need all four variables. Given that those variables contain extremely private information and the data collection itself is intrusive,16 it is a plain violation of ethics standards for human research17 to cause unnecessary distress for your participants. The NHMRC statement is just wrong. It’s that simple.

Unfortunately, people do not look to me for advice on this topic. Instead academic medical researchers in Australia are being actively advised to use the ABS standards in their research. The NHMRC is the single most important body for funding medical research in this country, and academics take its advice very seriously. Those academics in turn train medical students, who then become doctors. Those doctors then join organisations like the AMA who write statements in support of the sex/gender split advocated by the ABS and the NHMRC, such as this:

The AMA supports the development of a NHMRC/MRFF joint statement on Sex, Gender, Variations of Sex Characteristics and Sexual Orientation in Health and Medical Research. The AMA would also like to see the adoption of the Statement by the wider research community.

In other words, the entire medical establishment in Australia has ended up treating the 2020 ABS standard as “the” correct way to measure sex and gender.18 When the ABS created this standard in 2020, they did not merely lay the foundation for the questions that would eventually land in the 2026 census, they also set themselves up as the authority to define best-practice guidelines for other organisations, who have then gone on to badly misapply the ABS standards.19

This is, of course, a recipe for disaster for trans people in a world where every IT system in existence treats sex as a static, public field. It was inevitable that this advocacy from the NHMRC and AMA would lead to privacy violations for transgender people. It was irresponsible behaviour from both organisations, and a gross misuse of ABS standards that were not designed for the purposes that medical organisations have tried to use them.

LGBTQIA+ advocacy requires data competency

Up to this point in the story, I’ve focused mostly on the role of medical, statistical, and scientific organisations. The ABS creates standards, partly in response to advice from academics, the NHMRC adopts and misapplies those standards in a medical context, and then the AMA pushes the same advice into places where doctors and other health practitioners will adopt it. That’s the “official” part of the story, because those are the organisations with the institutional authority to make the sex/gender split an accepted data collection standard.

But it is not the whole story, and those are not the only organisations who have mishandled this issue. Because when the issue at hand relates to the lives of LGBTQIA+ people, the ABS, NHMRC, and AMA all take advice from LGBTQIA+ advocates. Organisations like ACON, Equality Australia, LGBTIQ Health Australia, and so on. What have these organisations had to say about the partial adoption of the 2020 ABS standard in the 2026 census? Here’s ACON praising the new census and giving credit to advocacy organisations:

This year’s Census is a historic milestone. For the first time, Australians aged 16 and over will be asked about their sexual orientation and gender identity, marking a significant moment in the recognition of LGBTQ+ communities in national statistics. This change came after years of advocacy from LGBTQ+ organisations who argued that access to this data would have an enormous impact on improving social cohesion and the health outcomes of LGBTQ+ communities.

Here’s Equality Australia being equally glowing:

“In 2027 we will finally have a more complete picture of who we are as a nation, including where LGBTQ+ adults live, what our jobs are, our health issues, where we go to school and what our families look like,” said Equality Australia CEO Anna Brown. “We still know so little about LGBTQ+ Australia because the 2021 Census failed to meaningfully count people of diverse sexualities and genders, and our families.”

Here’s LGBTQ Health Australia, again expressing their endorsement:

These updates are significant as the Census is one of Australia’s most important sources of population data. Governments, researchers, health services and community organisations use Census information to understand communities, identify needs and make decisions about policy, funding and services. For many LGBTQ+ people, these changes are not only about better data. They are about visibility and recognition in one of Australia’s most important national collections of population data.

Across the board, Australian LGBTQIA+ advocacy organisations have endorsed the new census questions specifically, with very little critical commentary.20 Yet on the ground, if you talk to any transgender person who has had to interact with the medical system recently and who has encountered the same nightmarish experience I described in the opening anecdote, you will find that we are all extremely unhappy with the 2026 census. The addition of the optional gender identity question to the census had the side effect of forcing the ABS to reword the mandatory sex question to now explicitly request sex-at-birth,21 creating the exact problem I discussed in the opening anecdote when other organisations copy their methodology.22 To put it bluntly, the new questions create an extremely-intrusive privacy violation for transgender people. Somewhat disappointingly, LGBTIQA+ advocacy groups in Australia appear to have ignored this concern entirely.

As a consequence of all this, there is now a massive disconnect between what LGBTIQA+ advocacy groups are saying, and what transgender people are experiencing. But government agencies do not look to regular transgender people for advice: they go to ACON, Equality Australia, etc. Unfortunately, because those organisations are not really qualified to talk about the practicalities of data infrastructure as they pertain to the inadvertent leakage of transgender status, they give the wrong advice.

So here we are. Australia has ended up in the rather peculiar situation where data collection standards for trans people look strikingly similar to those used in the US and the UK. In all three countries, transgender people are now being forced to disclose birth sex information on a regular basis, often in situations where this is entirely inappropriate. In the US and the UK those policies were pushed by conservatives and opposed by LGBT advocacy organisations. In Australia, however, they have been pushed by progressives and encouraged by LGBT advocacy organisations. Unfortunately, the end result for trans people is exactly the same. The good intentions of the Australian organisations are irrelevant. Our private data gets leaked to people who have no right to that information, and this happens very openly and with no negative consequences for the people violating our privacy.

It is rather depressing.

Fixing the failure modes

My pessimism and depression regarding this issue notwithstanding, I would be remiss if I did not talk a little about possible solutions to the problem, and how organisations can handle data collection issues in those (rare) special cases where birth sex data is genuinely relevant. I am not a person who likes making strong recommendations, so I will be careful here, but I will make a genuine attempt. My advice is rather different depending on who you are.

  • If you are the ABS. The 2020 standard is appropriate for your core purposes, but it has not been properly qualified: you need to make sure that organisations that do not have your same rigorous standards are not misled into thinking they should be using your data collection methodology. In contrast, the 2026 census is badly designed: transgender people will not answer the “birth sex” question honestly. We will lie, and with good cause. It was a mistake to create an asymmetry between the “sex” and “gender” questions, because many people will skip the optional question. That in turn means that downstream researchers will use the sex field rather than the gender field as covariates in their analyses. So transgender people will end up misclassified in almost every analysis. Most of us know this, because we all know how cisgender people respond to these questions. Lying is the best strategy for us. If you cannot make the full 4-question version mandatory (which of course is both politically impossible, and impractical on a mass scale), you should collapse the sex and gender questions to a single item, and do not force transgender people to humiliate ourselves on the census.23 In brief: collecting data on the transgender population to guide policy is a laudable goal, but the census is the wrong instrument to use for it. The topic is too sensitive, and there are some extremely negative side-effects of trying to do so in the way that the 2026 census does.

  • If you are the NHMRC. With all due respect, I’d urge you to stop encouraging medical researchers to apply the ABS standards to data collection processes where it is not appropriate.24 Even in the medical context it is not common for the transgender status of participants to be relevant, in which case the distinction between sex and gender is not worth collecting data on. You are the premier organisation for funding medical research in this country, and other people are following your advice. With regard to the 2020 ABS standards the advice was the wrong call, and you do have a professional obligation to make amends for the damage it has caused.

  • If you are running a clinical trial for a new drug with dense PK sampling, and you expect to have transgender participants. You are the rare exception. If your study design includes transgender people in the first place, it is because you have reason to think that the differences in metabolic processes for a transgender participant on HRT, a transgender participant not on HRT, and a cisgender participant might be important. You will need this data as a covariate for fitting your PPK model later on. However, if you’re skilled enough to have worked that out, you are also skilled enough to recognise that the 2020 ABS standard is not the correct way for you to collect that data. You will need to include specific questions about transgender status, not a generic “sex versus gender” instrument. You need to know concomitant medications like HRT, and you will want measurements of the relevant hormones. You also know that you have extremely strict rules around data confidentiality, and you will know that you cannot share the birth sex data to anyone except unblinded analysts working on the project. The ABS standards are not for you because you need something more sophisticated.

  • If you are doing some other kind of research. Think very, very carefully about what measurements your study actually needs. Just because the ABS produced the 2020 standard and the NHMRC endorsed it does not mean your study should implement it. Collect the data that you need, and only the data that you need. In most cases, that won’t include birth sex because very few social, behavioural, or medical studies need it. Asking for gender will work just as well in 99% of cases. Indeed, there is virtue in being deliberately ambiguous here. Asking a single question that requests “sex/gender” and letting people interpret it however they like is fine. Your data are not so precise that the subtle distinctions built into the ABS 2020 standard will affect your eventual p-value or the results you publish in academic journals.25 26 As George Box famously said about statistical models: “Since all models are wrong the scientist must be alert to what is importantly wrong. It is inappropriate to be concerned about mice when there are tigers abroad”. The same statement holds for measurement instruments: the sex/gender split is a mouse. The ethical concerns with being pointlessly cruel to your transgender participants, however, is a tiger. If your ethics committee were competent and paying attention to this issue, your study should properly be rejected if you unnecessarily collect birth sex data. Either way, though, you have a professional responsibility to not distress your participants. Drop the sex/gender split: you don’t need it.

  • If you are a doctor or a hospital. Do not include birth sex questions on an intake form. The ABS standard is inappropriate here. Intake forms are not always as private as they need to be, and in particular you need to be aware that your own database will probably leak birth sex data (and hence transgender status) to unauthorised third parties. You are better off having a single, ambiguous sex/gender question on your intake form. If and when your transgender patients have decided that we trust you enough to disclose our status to you,27 do not enter it in the sex field. It goes in private medical notes, because those notes do not get printed out on pathology forms or revealed to receptionists. You should treat birth sex with the same sensitivity that you would treat sexual orientation. If you believe it is unethical for a doctor to out their gay patients to strangers, you should show the same respect to your transgender patients. That means you must always treat birth sex as confidential data, in every context.

  • If you are the Births, Deaths, and Marriages office. Actually, you’re doing great. More precisely, if you’re the South Australian BDM office, your current practices are almost perfect, as far as I can tell. Having updated my birth certificate sex/gender marker some time ago, the process was not as difficult as I feared, and the end result was surprisingly thoughtful. Legally recognised transgender people born in South Australia are issued two versions of our birth certificates, one with the marker change made explicit (useful for us when we have to prove we have transitioned) and one without it (useful when someone else asks to see the certificate and they have no business knowing our transgender status). Honestly, my main advice here would be very simple – the transgender status in your database should not be shared with any other organisations, including other government agencies. You are the official register for this kind of information: you should know that I am transgender. The tax office has no reason to know that.

  • If you manage another kind of database with a sex/gender split. Be aware of the fact that the privacy implications change once this split has been implemented. In a database that contains only a single field (regardless of what it is labelled), it is likely that that sex/gender field contains those values that people felt willing to disclose. That value is private, but rarely highly sensitive.28 Once the sex/gender split is in place, this changes. The sex category now becomes extremely sensitive information, and there are almost no situations in which its value should be disclosed to third parties. However, because your database almost certainly has legacy code and automated queries that predate the sex/gender split, the potential for data privacy breaches escalates dramatically the moment the split is introduced. Your task in this situation is to (a) push back against people wanting to implement the split if they do not have a good justification for doing so, and (b) investigate what queries are being made against the sex field in particular (but also the gender field) and check to see if they remain appropriate given the new data structure, as this is usually where the breaches occur.

  • If you are ACON, Equality Australia, etc. Please spend less time lobbying the government and more time talking to regular transgender people. You’ve been advocating for a policy that is causing us a huge amount of distress, creating an administrative nightmare for us, and is leading to transgender people being outed by people who have foolishly listened to you. Separating sex and gender on data collection instruments is inherently bad practice in almost all situations, but the people who have been taking advice from you are not grasping the risks involved. Indeed, I worry that you might not understand the risks involved. Please be careful here, because there are serious downstream risks that attach to this advice.

  • If you are just a regular person. Mind your own business. You do not need to know other people’s birth sex. Do not ask. It is very, very simple.

I hope some of this is useful.

  1. I remain neutral on the virtues of that question, and don’t think it’s my place to comment on it.↩︎

  2. This post represents a departure in style for this blog. In most posts I am lighthearted, jokey, and occasionally very crass. This one plays it straight, because I am deadly serious about this topic. Yes, the title is a little pointed, but there is a substantive reason for making the claim as strongly as I have here.↩︎

  3. A note on nomenclature: I’ve written this post with an assumed audience of statisticians, scientists, data professionals, academics, and medical professionals. In those circles it is conventional to refer to this measurement as “birth sex” or “sex at birth”. I’ve adhered to that here for the sake of the audience, but it’s also important to recognise that a lot of trans people would (and do) object to that phrasing, and strongly prefer to refer to it as “assigned sex” or “sex assigned at birth”, emphasising the fact that even at the time that a sex record is created for a newborn, it is an act of classification with subjective and sociological elements and not a purely biological category. I’ve not covered that aspect in this post, but it is worth keeping in mind.↩︎

  4. I suppose I should be precise here. Strictly speaking, it is not the database itself that is incorrectly configured. Rather, the queries that are automatically made against that database in various situations are the wrong queries, with the result that transgender status information leaks to unauthorised third parties.↩︎

  5. As an aside, “medical necessity” is often a sticking point for cisgender people. The intuition that people often have is that birth sex does matter with regards to a number of medical conditions, therefore doctors will very often need to be informed about a patient’s transgender status. This post is not arguing against that claim, and it is a misreading of the post to interpret it that way. My argument is about (a) the manner in which disclosure of transgender status should be handled, (b) who should be permitted access to that information, and (c) how that information should be stored given the frailties of existing IT infrastructure. Making birth sex a mandatory field on a patient intake form is one of the worst ways to handle this: it violates privacy and undermines transgender people’s ability to trust our doctors. It is a terrible practice.↩︎

  6. When I originally shared this post, one person made the odd claim that the pathology lab has a medical need to know birth sex. In general, they do not. Their role in the process is very simple: they draw blood, they put the blood in a cyclotron, they do an assay, and then email the assay results to the doctor. No part of that process requires a transgender person to reveal their status to the lab. The pathology lab does not do diagnostics, and for that reason it is not granted access to private patient data. There are cases where a pathology lab might apply a formula that uses sex/gender, but even in those cases it’s not at all obvious whether birth sex or gender is the better variable to use for transgender patients on HRT. For example, consider the various different eGFR formulas for assessing kidney function using serum creatinine levels. Though sex is used as a covariate in those formulas, there’s very little actual research on the applicability of these formulas to transgender patients on HRT, and to the extent that there is (e.g., here), it does not support the naive intuition that birth sex is the right variable to use. The linked study suggests birth sex might be the better choice for trans men, but not for trans women. But the sample sizes are so small in both groups that it’s almost impossible to know: the reality here is that nobody actually knows what the right answer is. The pathology lab is hardly in a position to resolve that kind of scientific uncertainty. Given that other variables relevant to eGFR calculations are not routinely printed on pathology forms (I’ve never seen race printed on one, for example, but it is used in some eGFR formulas), there’s not actually a compelling reason to demand disclosure of sensitive data from transgender patients here. The assay will return serum creatinine levels, and the truth is that this is the best the pathology lab can actually do in this situation. The claim that it is medically necessary to violate transgender patients confidentiality in order to use a formula that is pure guesswork for this population is not actually a scientifically reasonable position to take. If that is the intuition that you have, it’s worth taking the time to ask yourself why you have that intuition, because the scientific facts underneath it aren’t as clear-cut as you probably think they are.↩︎

  7. The history of eGFR formulas is somewhat interesting in itself. The process of measuring glomerular filtration rate is (mGFR) is quite resource intensive, so in most contexts we use eGFR equations based on using creatinine or cystatin C as biomarkers. But the relationship between the biomarker and GFR is affected by other variables, like age and sex, in part because of the role of muscle mass. But sex hormones in HRT affect muscle mass for both trans men and trans women, so the role of sex as a covariate in these calculations becomes a problem for the transgender population. Oddly, there is a relevant analogy to race here. Historically, a lot of the older formulas that are now being deprecated also included race (specifically Black vs non-Black) as a covariate, again because of the mediating role of muscle mass. But this became controversial when evidence suggested that the result of the race covariate was to overestimate kidney function for Black patients, in turn leading to delayed treatment for kidney disease. For this reason the newer formulas tend to be race-neutral. Unfortunately, there’s very little work on the sex covariate and how that affects medical treatment for transgender patients. There’s a good review of kidney disease care for transgender people here, and it discusses the eGFR issue, but the sad truth of the matter is that there’s so little empirical data on the topic that the closest thing we have to a proper eGFR calculation for transgender patients is to run the calculation twice, using both the male and female coefficients and then… well, then you just guess. It turns out there is quite a bit of research on whether trans women should be allowed to participate in sporting contests, but not so much on how to look after us in the medical setting. The reason why we as a society seem to have these rather distorted research priorities should not be hard to fathom. I wish it were otherwise.↩︎

  8. More precisely, they do not treat it as confidential data, which is why it leaks onto various documents that should not contain information about transgender status.↩︎

  9. For the record: my Ph.D. in mathematical psychology was awarded in 2003, I worked as an academic specialising in statistics, psychological measurement, and behavioural science from 2006 to 2021, I worked in the tech sector for a year, and since 2023 I’ve been an industry-based statistician and pharmacometrics consultant working with clinical trial data on a daily basis. I came out in 2013 and transitioned in 2016, so I am not new to that either. I really do have the expertise I am claiming. Look me up if you don’t believe me.↩︎

  10. It should be noted that I did meet a lot of academics during that time frame who were extremely transphobic, and horrible to be around. But those weren’t the people involved in the conversations leading up to the ABS standards. That process unfolded with the absolute best of intentions from everyone involved, as far as I know.↩︎

  11. The conversations weren’t just at UNSW, but it’s the ones at UNSW that I was tangentially involved with.↩︎

  12. The typical failure mode was painfully stupid: at some point, a programmer assumed that the sex/gender marker is a static field, so a subsystem populates its own copy of the field in the central database once and never refreshes the value. So the system that then displays information to third parties never gets the update from HR, and my trans status gets disclosed. This happened to me dozens of times, and nobody could prevent it from happening. Each time I would have to contact IT and get them to investigate. They’d fix one subsystem, and then the same problem would reappear a few weeks later with another one.↩︎

  13. My own data collection practices at that time was to include a single optional question asking people to identify as “male”, “female”, or “other”. It wasn’t perfect, and in hindsight I’d probably have added “nonbinary” as an explicit category. But making it optional was critical: it was a deliberate, unobtrusive way to let people opt out of answering the question if they didn’t want to.↩︎

  14. More on this later: the word almost matters in that sentence.↩︎

  15. For completeness, I should note that the NHMRC then goes on to give this qualification: “there will be other occasions where the ABS 2020 Standard may not provide sufficient information on the Variables to answer the research question the project will address, and researchers are encouraged to collect demographic information and then use other best practice data collection methods to collect further information on factors that are relevant to their project”. That’s a very sensible qualification, but from the perspective of the topic I am discussing it is the wrong one. It reads like an encouragement to collect more data. It does not issue any caveat suggesting that researchers should refrain from collecting birth sex data when it is not needed.↩︎

  16. Forcing trans people to disclose our birth sex is extremely likely to make us angry or distressed. This is not a question you should ever ask unless you absolutely have to. It’s more than rude: it’s offensive.↩︎

  17. Yet again I will assert my qualifications: I have served on ethics committees for the approval of research on human subjects at Australian universities.↩︎

  18. As an aside, I notice that the AMA statement also says this: “Imbalances in sex and gender also adversely impact clinical trials. The fundamentals of different pharmacokinetics and pharmacodynamics within males and females must be considered. For example, women who take beta blockers, used to treat heart problems, have higher concentrations in their blood. The reasons for this are multiple but include factors as simple as differences in blood volume. Women also metabolise many medicines differently to men, because of sex hormone levels and enzyme activity”. The statement is fine as far as it goes but it’s easy to misread as a claim that birth sex is the relevant covariate for the underlying PPK model. That would be incorrect: taken at face value it’s arguing that volume of distribution (V1, V2, etc) relates to birth sex, but the metabolism claim suggests that HRT affects CYP-mediated drug metabolism and hence that sex hormones influence clearance (CL). For transgender patients on HRT, then, clearance will be associated with our gender and not our birth sex. But since clinical trials don’t typically include any transgender participants, the point is moot. We don’t usually get included in the data set, even for studies where it would actually be incredibly relevant. Sigh.↩︎

  19. In this specific respect, I would like to defend the ABS. It’s not their fault that other organisations misuse their data collection standards, and I don’t hold them morally responsible for the consequences of what other people do with their guidelines. I’m only stating this because I think that it’s historically what happened, as far as I can tell. The ABS defined guidelines for the ABS to use, and then everyone else was too lazy to do their own work and simply copied the ABS as if their guidelines were a single source of truth. I will later on have some quite pointed criticism of the ABS with regards to how they adapted the 2020 standards for the 2026 census, but that is a different issue to this one. In this specific sense, the ABS is blameless.↩︎

  20. I should be precise here: it is quite common for these organisations to criticise the 2026 census for including only 3 of the 4 items from the 2020 standards. The one related to intersex people has not been included in the census, and the organisations are all at pains to be critical about that. But not one of them has made any public commentary about the downstream consequences that the 2020 standards/2026 census have for trans people and the inevitable catastrophic data leakage that happens when those standards get widely adopted. Not a word on that.↩︎

  21. A side note for non-Australians. In Australian common law, there is an informal notion of “legal sex”, which is permitted to be different from biological sex or sex-at-birth. A transgender woman who has updated her sex/gender marker with the Births, Deaths, and Marriages office and who clearly lives as a woman in everyday life is considered to have a legal sex of female. In the 2021 census, it would be entirely reasonable for her to interpret the “sex” question to mean legal sex, and hence respond “female” on that item. That’s no longer the case in 2026: the new question now forces the disclosure of extremely personal information. ACON, EA etc should have been criticising this change: they have a professional responsibility to do so. But they have not done so, and transgender people are extremely angry at them for their uncritical acceptance of the 2026 census changes.↩︎

  22. Side-note for the more pedantic readers. You might be tempted to excuse ACON, EA, etc, on the grounds that the ABS cannot be held responsible for the fact that other organisations copy their data collection methods. That is true to an extent, but even under the most charitable interpretation that only lets ABS off the hook. ACON, EA, etc have a different remit. They do need to consider the implications that the new census questions have for LGBTIQA+ people’s lives in the broader context: by endorsing the 2026 census so glowingly and with so little criticism, they have given an implicit licence to other organisations to adopt the ABS-style data collection (i.e., other parties will think “hey, this works for the ABS, and it’s endorsed by ACON/EA/etc, so it must be the right thing for me to do”). An LGBTIQA+ advocacy organisation should be aware of this risk and take action to mitigate it: it is irresponsible that none of them have done so.↩︎

  23. Forcing a transgender woman to call herself “male” on a mandatory question – as the 2026 census now does with the reworded sex question – is cruel, and it is degrading. You should not have done this, and whoever gave you the advice to do so was wrong.↩︎

  24. I am aware that the statement I quoted included the qualification that researchers should use the ABS standards “as appropriate”. However, that is not a sufficient qualification in this situation: it reads as an afterthought, and the statement as a whole very strongly implies that the ABS standards are appropriate in most cases. That is incorrect. They are not.↩︎

  25. I’ll unpack this a little. Suppose you are interested in the difference between men and women on… something. It doesn’t really matter what. In the usual case you will power your study to be able to detect a difference between these groups with a fairly high probability (conventionally: 80%) given an assumed effect size, implicitly assuming that about half your sample is male and the other half is female. There are two consequences to this: (1) Your study is grossly underpowered to detect any effects that pertain to transgender people or intersex people, because the base rates for both groups are very low. As a direct consequence, you should not even test for any such differences: any significant effect you get for those groups with this design has a high probability of being Type I error. (2) Statistically speaking, it does not matter whether you define “male” and “female” using a gender question or a sex question: the correlation between those two questions is so high (again, due to base rates) that your power is unaffected by the sex-versus-gender decision. Noting this, since (a) your power is unaffected and (b) a generic, slightly ambiguous “sex or gender” question is less intrusive than the sex-at-birth question, your ethical responsibility is to use the more generic instrument as your measure. As counterintuitive as it might seem if you are doing data collection in a medical context, you do not have a compelling justification for using a sex-at-birth data collection method if your only intention is to test the differences between men and women.↩︎

  26. This conclusion probably feels unpalatable and upsetting to a lot of scientists. Our training teaches us to be detail-oriented, and to value precision: it feels jarring to us to set this instinct aside. With that in mind, I’ll unpack even further. An anecdote: a while back I was working on a data analysis problem in a medical context. In the process of doing my due diligence and checking the data sets, I discovered an anomaly that caused a fairly important variable to shift up or down by about 5% for entirely arbitrary reasons. In context, then, the thing I’d found is actually quite a bit larger than any data shift you’d encounter via the “sex or gender” measurement question. Being a diligent analyst and a scientist by training, I took it extremely seriously. I traced the issue all the way through the data analysis pipeline, worked out every possible place that the discrepancy might affect the final conclusions, proposed multiple methods we could adopt to address the issues, read some ungodly number of articles about the specifics of the measures in question, ran some sensitivity analyses, and so on. In the end, though, the decision from higher up was “actually it’s fine, leave as-is”. And, as deflating as that felt to me at first (given how much work I’d put in), that was the right call. My effort was not wasted, because it is crucial to do your due diligence and be paranoid about data issues. But because I’d done all that work we could also demonstrate to our own satisfaction that the issue had no material effect on the substantive scientific claim. And so all my good work on the issue vanished into the archives. This is how it should be. When it comes to low-level features of the data (like “did we measure sex or gender, and does it matter?”), it is important that researchers think it through carefully, and check what impact it can have. But you must also be practical: if the issue doesn’t affect the final results (and the sex/gender difference almost never does), it is foolish to insist on using an intrusive measurement when the non-intrusive one works just as well.↩︎

  27. I cannot stress this point strongly enough: most trans people have learned from experience not to trust doctors. The medical profession has not historically been kind to us, and we have had direct experience with doctors being horrible to us during appointments. This post is not the place for me to talk about some of the truly vile things doctors have said to me over the years, but you need to understand that trust is not a given in this situation. You will need to earn our trust, and the practices that medical providers are starting to adopt regarding birth sex data actively undermine that trust.↩︎

  28. This is worth expanding slightly. It’s very common for database admins (and indeed the people collecting the data initially) to assume that since the intake form or whatever requested “sex” and the field is labelled sex, the values that it contains must correspond to a person’s biological sex. That’s rarely true for transgender and intersex people. What usually happens when we fill out that part of the form is that we make a decision about what information should be disclosed to you: transgender people will rarely choose to disclose sex-at-birth in this context. As such, your single field actually contains a mixture of different kinds of data. When the sex/gender split takes place, the data collection instrument usually tries to force the new sex field to become sex-at-birth, and that’s when privacy risks escalate dramatically. Indeed, the entire point of this post — and the logic for the somewhat pointed title — is that splitting sex from gender in a database creates a whole new swathe of ethical and privacy concerns that get systematically mishandled in the wild. The responsibility for dealing with this ought not to fall on database admins, because the problem was created upstream by people making poor policy decisions, but unfortunately we live in a world where the database admin ends up being the person expected to clean up the mess. You have my sympathies.↩︎

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Citation

BibTeX citation:

@online{navarro2026,
  author = {Navarro, Danielle},
  title = {Separating Sex and Gender Is Statistical Malpractice},
  date = {2026-08-06},
  url = {https://blog.djnavarro.net/posts/2026-08-06_separating-sex-and-gender-is-statistical-malpractice/},
  langid = {en}
}

For attribution, please cite this work as:

Navarro, Danielle. 2026. “Separating Sex and Gender Is Statistical Malpractice.” August 6, 2026. https://blog.djnavarro.net/posts/2026-08-06_separating-sex-and-gender-is-statistical-malpractice/.

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70+ verified cases of Meta account removals in Australia. Who protects our digital rights?

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70+ verified cases of Meta account removals in Australia. Who protects our digital rights?

Screenshots of Meta account removals and suspensions. Image of phone with social media apps on right side.

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Over the past year, marginalised communities, including LGBTQIA+ and BIPOC communities, have reported a growing wave of account suspensions, removals and restrictions from Meta’s moderation systems.

New data suggests reported cases of censorship are only increasing.

Repro Uncensored alone has now verified 70 cases of reported censorship affecting Australian accounts, with almost all occurring in 2026. Around the world, the organisation has recorded a steep rise in verified cases too, increasing from 50 reports in December to more than 600 today.

These numbers likely don’t scratch the surface, as Repro’s database only captures cases reported to the organisation.

Australia has emerged as one of the countries most affected by the current wave of Big Tech censorship,” Repro Uncensored founder and executive director Martha Dimitratou told QNews.

“From our experience, [Australian cases are] among the most difficult and lengthy to reinstate, if we receive a response at all.”

At this point, as the tally continues to rise, as more businesses and creators lose access to work, as vital communication is suppressed, the question needs to be asked: when private corporations control what is essentially modern-day public infrastructure, who is responsible for regulating it?

Public health information access

Bur first, to understand what I mean by public infrastructure, look no further than each and every person’s access to essential health information.

A newly released project from Swinburne University and the National Association of People with HIV Australia (NAPWHA) called Not Safe for Health has examined the challenges facing community-based health organisations using digital platforms, particularly organisations working in HIV prevention, education and support.

NAPWHA says its organisations have experienced content suppression, account suspensions and restrictions on paid advertising, while also facing hateful comments and targeted abuse on their platforms.

The result is a contradiction: organisations working to provide essential health information are being restricted, while harmful misinformation and abuse can remain.

Professor Kath Albury from Swinburne University said social media platforms were once places where communities could build connection, but their business models had shifted.

“It used to be the case that you could build community and social connection on social media. But platforms have built profits on promoting social conflict, not supporting the public interest.”

The report found that dominant platforms now hold a “virtual oligopoly” over digital communication, making it increasingly difficult for community organisations to simply leave.

For LGBTQIA+ communities, that reality is particularly significant.

Social media is not just where people share photos or announcements. It is where people find health information, discover support services, organise campaigns, build communities and preserve cultural histories.

When those accounts disappear, communities lose infrastructure.

Related content:

The three drivers of Meta’s targeting

Repro Uncensored share how their research points to the three “interconnected drivers” causing the growing wave of account removals.

Automated moderation systems

Platforms like Meta rely on artificial intelligence to detect potential policy violations.

These AI moderators seem to heavily target content around sexual health and expression, LGBTQIA+ events, queer nightlife, advocacy or community support, with these posts incorrectly labelled as violating policies around adult content, exploitation or solicitation.

Coordinated reporting campaigns

There have been numerous examples of creators, community organisations and businesses being targeted by anti-rights groups who urge followers to mass-report lawful content, creating a system where fraudulent complaints trigger platform action.

This is doubly concerning when, after accounts are removed, the victim of targeting is automatically perceived as guilty and is unable to retrieve their account/s.

Lack of transparency

It is rare for account holders to know what specific content allegedly breached policies or how they can meaningfully challenge it.

Dimitratou said this lack of accountability has become one of the biggest barriers facing affected communities.

“Organisations are rarely told exactly what content allegedly violated Meta’s policies, why the decision was made, whether it resulted from automated moderation or coordinated mass reporting, or how they can effectively challenge it,” Dimitratou says. 

For many, accounts can only be recovered after journalists, lawyers, politicians or organisations like Repro intervene on their behalf.

As Dimitratou argues, access to fundamental communication channels should not depend on whether an organisation can attract enough public attention.

Australia’s digital rights gap, what can be done?

Australia has a gap in it’s anti-discrimination and digital rights protections.

Laws like the federal Sex Discrimination Act and state-based anti-discrimination legislation weren’t designed for a world where a global private company can remove a people’s primary communication avenue overnight.

When Meta removes an account, Australians currently have such limited options, there is rarely anything that can be done.

Tom Sulston, Head of Policy at Digital Rights Watch, said the problem highlights the broader power imbalance between technology companies and the communities that rely on them.

“That they do it [censor user], and frequently get away with it, demonstrates the problems inherent with Big Tech’s control of the platforms we depend on for our communications.”

“We urgently need governments and regulators to step in, and ensure that Australians aren’t excommunicated by social media platforms for offending American government sensibilities with their posts.”

There are no specific laws in place to deter big tech from their behaviour, nor its there a dedicated independent body with the power to investigate patterns of censorship, require transparency from platforms, or provide meaningful avenues for appeal.

This has led advocates to propose a few different options:

  1. Stronger regulation of digital platforms
  2. The creation of a Digital Platforms Ombudsman
  3. Better enforcement of exisiting discrimination laws.

A Digital Platforms Ombudsman: what could that do?

A Digital Platforms Ombudsman would provide an independent pathway for users and organisations who believe they have been unfairly impacted by a platform’s decision.

Instead of relying on Meta’s internal appeals process, Australians would take their complaints to an external body who would help resolve the case.

The Australian Greens have joined calls for such a model, arguing platforms currently hold too much “unchecked power”.

Repro Uncensored has warned that any Australian model would need the authority to identify systemic patterns, require platforms to cooperate and impose consequences when companies repeatedly fail to meet their obligations.

This pathway is potentially closer than it appears.

The Telecommunications Industry Ombudsman is calling for its role to expand to include digital platforms, recognising that online services increasingly affect Australians’ everyday lives.

“Right now, when things go wrong online people don’t have anywhere to turn for help. Australians are often left stranded, stuck in a chatbot loop and unable to talk to a real human to get help,” Telecommunications Industry Ombudsman Cynthia Gebert told QNews.

“Big tech companies have the resources to help people resolve issues on their platforms, but instead consumers are falling through the cracks and left helpless, frustrated and out of pocket.

“We want to see big tech companies held accountable and to the same standards as telcos.  It’s why we’re calling for the TIO to handle digital platform complaints as well as telco, so people have access to independent and free help when they need it.”

Europe’s Digital Services Act: how to regulate Big Tech 

Another option implemented in Europe is a broader regulatory framework called the European Union’s Digital Services Act (DSA).

Introduced in 2022 and becoming fully applicable in 2024, the DSA is one of the world’s “most significant attempts” to regulate Big Tech because it recognises their role in accessing information, participating in public debate and connecting communities.

The DSA introduces obligations including:

  • transparency around content removals with explanations when content or accounts are removed, and
  • meaningful appeal processes.

But has it worked for Europe?

For the first time, it establishes clear obligations around transparency, due process, risk assessments, and meaningful systems of redress when platforms moderate content or suspend accounts,” Dimitratou told QNews.

Our legal class action in the Netherlands is a strong example of how the DSA can be used to hold Big Tech accountable and seek meaningful sanctions where companies fail to comply with European law.”

The case she is referring to argues that Meta failed to meet its obligations under the legislation by not providing meaningful explanations or effective opportunities for redress in cases including The Queer Agenda.

Dimitratou notes that the the DSA should be seen as “the beginning of accountability, not the end of it”.

“It provides a blueprint for democracies around the world seeking to reclaim oversight over the digital public sphere. The legislation exists. The next challenge is ensuring that governments are willing to enforce it.”

We know the rapid growth of digital platforms has exposed gaps between existing protections and the reality of modern communication.

So much so that the federal government has committed to developing a Digital Duty of Care framework for online services, following a recommendation from the Statutory Review of the Online Safety Act 2021.

The proposed framework would mean that online services need to take reasonable steps to prevent foreseeable online harms experienced by Australians.

But would these measures also address what happens when platforms themselves restrict lawful communication or remove accounts without any clear explanations?

And, could the addition of a DSA-style framework help address the holes that remain?

What now?

We at QNews will continue to report on Meta’s censorship and support our community. Repro Uncensored will continue to campaign globally and both  document cases and work with account holders in Australia to help get their accounts back.

But for marginalised folk here, the ominous shadow of uncertainty will remain for now.

Meanwhile, the Australian government will either do little, or they will finally take steps to ensure that the platforms millions rely on every day are held to appropriate standards of transparency, fairness and responsibility.

One thing is for certain, the future of digital rights and online public infrastructure cannot be left in the hands of global private corporations.

For the latest LGBTIQA+ Sister Girl and Brother Boy news, entertainment, and community stories in Australia, visit qnews.com.au. Find us on FacebookTwitterInstagram and YouTube.

QNews, Brisbane Gay, App, Gay App, LGBTI, LGBTI News, Gay Australia

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bluebec
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yep, pretty much

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beaswellgirl:

yep, pretty much

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Cnetizens: The wisdom of the working people

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fuckyeahchinesefashion:

Cnetizens: The wisdom of the working people

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Report confirms workers pa the price for inflation driven by profits

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The OECD’s annual employment outlook confirms that not only did profits drive Australia’s inflation in 2022, but that growing profits are also behind the most recent increases in prices that led to the Reserve Bank raising rates.

In February this year, the Reserve Bank raised interest rates because it was worried about rising inflation in the last six months of last year.

However, analysis by myself and David Richardson, showed that the major cause of increased inflation was increased profits.

Unfortunately, this was just a repeat of what occurred in 2022 and 2023, where the RBA punished workers with higher interest rates out of a misguided belief that inflation was being driven by higher wages and out of fear of a ‘wage-price spiral’.

The RBA believed that the level of unemployment was too low, and as a result, wages would grow faster, and then businesses would increase prices in response, and then workers would in turn bargain for even higher wages.

In September 2022, when announcing the fifth 50 basis point increase in the cash rate in a row, the RBA governor stated that:

“Wages growth has picked up from the low rates of recent years and there are some pockets where labour costs are increasing briskly. Given the tight labour market and the upstream price pressures, the Board will continue to pay close attention to both the evolution of labour costs and the price-setting behaviour of firms in the period ahead.”

At the time, however, analysis by Richardson, Matt Saunders and Richard Denniss had revealed that labour costs were not driving inflation at all.

Their research showed that companies were taking advantage of the end of the pandemic and the Russian invasion of Ukraine to increase prices and profit margins.

They estimated that increased profits accounted for about 60 percent of recent inflation.

Despite being based on analysis of the national accounts as had also been conducted by the European Central Bank and the US Federal Reserve, these findings were widely criticised by conservative economists, media and institutions.

Research by Jim Stanford in early 2023, building on the work by Richardson, Saunders and Denniss which found that excess corporate profits accounted for 69 per cent of additional inflation beyond the RBA’s target produced even more vociferous criticism.

The Australian Financial Review ran multiple articles including one in which the then president of the Academy of the Social Sciences in Australia called on the Australia Institute to “admit their mistake and retract their so-called analysis”.

The RBA also sought to undermine the research because it demonstrated that its approach of raising rates was wrong because it incorrectly punished workers rather than focused on corporate profits.

The research was vindicated when, in the middle of 2023, an OECD report confirmed the Australia Institute’s research by finding that “corporate profits contributed far more to Australia’s rise in inflation through the past year than from wages and other employee costs.”

A new report by the OECD released earlier this month further reinforces our findings by revealing that in 2022 profits were a greater driver of inflation in Australia than they were in either the Euro area or the United States.

The 2026 OECD Employment Outlook found that not only were profits clearly the main cause of inflation in 2022, but they confirmed our research that the cause of rising inflation in the last half of 2025 and the early part of 2026 was profits, not labour costs.

inflation

Source: OECD 2026 Employment Outlook 

Even more damning for those who criticised our research of 2022 the OECD report compared the causes of inflation since 2015 in Australia, the Euro area and the USA.

inflation

Source: OECD 2026 Employment Outlook

It showed that profits were a much bigger driver of inflation in Australia than in the other economies.

This new OECD report should put to bed any of the criticisms by vested interests against our research.

But it also should warn that the RBA should not fall into the same error and continue to punish workers for inflation that is not of their doing.

Greg Jericho is the Chief Economist at The Australia Institute.

This article first appeared in The Point. Read the original here.

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Postmortem of Gender Under the Qun

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coriphallus:

I. Introduction: A Question of Language

Now that the Qunari have been thoroughly butchered, I wanted to compile my thoughts on gender under the Qun into a more comprehensive ‘essay.’ This is not primarily an essay about politics, identity, or even gender in the contemporary Western sense. It is an essay about language.

More specifically, it is about what happens when we attempt to understand a foreign culture through English.

Whenever discussions surrounding the Qun arise in online spaces, one phrase inevitably dominates the conversation:

“Under the Qun, your gender is your role.”

Most players interpret this quite literally. If someone is a warrior, then they are a man. If someone fulfills another social function that’s conventionally feminine, then they are considered a woman. The conclusion appears straightforward, and I suspect it is also the interpretation the writers themselves ultimately settled on.

I intend to dismantle it for my own amusement.

Not because I believe the games secretly intended something else, nor because I think this interpretation is objectively incorrect, but because I approached the Qunlat from a linguistic background fundamentally different from that of English. My first instinct was not to ask, “What does the Qun believe about men and women?” My first instinct was to ask, “What does the Qun mean by gender?”

This analysis is my attempt to explain why.

My native language lacks gendered pronouns. There is no equivalent distinction between “he” and “she.” At first glance, this seems like a language where gender is largely irrelevant.

Counterintuitively, that is very much untrue.

The absence of gendered pronouns does not eliminate gender from a language. Instead, it changes where gender lives.

II. Where Language Stores Gender

English speakers constantly encode gender in ordinary conversation without consciously thinking about it.

“I saw her yesterday.”

“He said he would arrive tomorrow.”

Before these sentences can even be spoken, the speaker must already know which pronoun to choose. Gender becomes one of the first pieces of information retrieved when referring to another person.

This process is so automatic that most native English speakers never notice it.

Turkish works differently.

The sentence Çöpü attığını gördüm simply means:

“I saw them take out the trash.”

The sentence contains no information whatsoever regarding whether the person observed was male or female. In fact, depending on context, the subject can even remain ambiguous between 2. and 3. person singular. The information simply is not grammatically required. It is not exposed unless it’s required.

It does not mean Turkish speakers are incapable of perceiving gender. It means the language does not force speakers to encode that information every time another person is mentioned whereas English requires it.

Now consider Czech.

Viděl jsem ji vynášet odpadky.

Before we even reach the object of the sentence, the grammar has already revealed something about the speaker themselves. The viděl tells us that the person speaking is male.

Spanish encodes something else.

La vi sacar la basura.

The pronoun identifies the observed person as feminine while la basura independently marks the noun “trash” as grammatically feminine.

None of these languages have more or less genders than the other for both the object and the subject. They simply distribute gender differently.

Some require information about the subject.

Some require information about the speaker.

Some require information about inanimate objects.

Some require almost none at all.

Every language obliges its speakers to express certain kinds of information. English demands tense where Mandarin often relies on context. Japanese frequently encodes social hierarchy where English does not. Czech marks grammatical case in places where English instead relies on word order.

These are not merely quirks of vocabulary, they shape what information speakers must continually keep available while communicating.

Linguists sometimes refer to this as obligatory grammatical information. A language does not necessarily determine what its speakers are capable of thinking, but it certainly determines what they must routinely express. That creates a substantial distinction.

Popular discussions often invoke the Sapir–Whorf hypothesis, the idea that language determines thought, as though speakers of different languages possess fundamentally different thought patterns. Most modern linguists reject that for various reasons.

Language does not provably constrict thought. It can, however, influence it by making some distinctions obligatory while allowing others to remain optional.

An English speaker cannot naturally produce the sentence “I saw…” without deciding whether to continue with him, her or them. A Turkish speaker can. That information is stored in the previous context so they fundamentally ask different questions.

III. Gender as Grammar

This brings us to grammatical gender.

One of the most common misconceptions among speakers of languages that lack variety of grammatical genders is the assumption that grammatical gender must somehow reflect biological sex.

It rarely does.

A French speaker does not believe a baguette is female. A German speaker does not think a girl is literally neuter because das mädchen happens to use neuter grammar.

The grammatical category exists independently of biology. Its purpose is structural. Gender in language determines how words behave, which articles accompany them, which adjectives agree with them, which suffixes they receive, how they are declined (or not)…

Gender, in other words, is less about describing reality than organizing it.

A noun belongs to a category because the language requires it to belong somewhere to function.

Native speakers rarely question why a chair is feminine or why a bridge is masculine. The categories simply serve as a part of the language’s internal logic. Trying to explain grammatical gender to someone whose native language lacks it often produces the infamous question;

“But why is the chair female?”

The answer, of course, is that it isn’t.

The chair is not female.

The word belongs to a grammatical category that English simply lacks (i.e. Masculine inanimate as a grammatical gender carries more information about the state of the object than its 'sex’). The confusion arises because learners instinctively attempt to translate one conceptual framework into another. What if, I began to wonder while playing DAO, the same thing was happening with Qunlat?

What if “man” and “woman” were not 1=1 translations?

What if they were approximations?

What if the game’s medium of English language was doing the only thing it could do; mapping an alien system of classification onto the nearest concepts available?

Whether that was the writers’ intention is beside the point. I think the possibility itself warrants exploration. Because if the Qun’s concept of gender functions less like biological identity and more like grammatical classification, then many conversations throughout the series become open to entirely different interpretations.

This is going to be a long read.

Keep reading

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bluebec
24 days ago
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Melbourne
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