Differences
This shows you the differences between two versions of the page.
| debunking-swedish-study [2025/12/25 14:37] – created valah | debunking-swedish-study [2025/12/25 14:42] (current) – valah | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ====== The "Trans Women Offend Like Men" | + | ====== The Swedish Study Myth: Debunking Dhejne et al. (2011) Misrepresentations |
| - | ===== The Transmisic Claims | + | ===== The Claim ===== |
| - | **Claim 1**: "The data seems to say that trans women offend in an identical way to men." | + | "A Swedish study proves |
| - | **Claim 2**: "Trans women are convicted of sexual offenses at rates of about 1,177 per million—higher than men's 490 per million." | + | This study has been weaponized in debates about: |
| + | | ||
| + | | ||
| + | | ||
| + | | ||
| + | * Basically any anti-trans policy argument | ||
| - | Both claims cite the same UK Ministry of Justice prison data. Both are statistical manipulation. | + | Let's look at what the study actually says. |
| - | ===== What the Prison Data Actually | + | ===== What the Study Actually |
| - | ^ Population ^ Total ^ Sex Offenders ^ Percentage ^ | + | **Full citation**: Dhejne C, Lichtenstein P, Boman M, Johansson ALV, Långström N, Landén M (2011) " |
| - | | Trans women prisoners | 129 | 76 | 58.9% | | + | |
| - | | Cisgender men prisoners | 78,781 | 13,234 | 16.8% | | + | |
| - | | Cisgender women prisoners | 3,812 | 125 | 3.3% | | + | |
| - | ===== The Sleight of Hand: Four Tricks | + | **The actual study**: |
| + | * Followed **324 individuals** | ||
| + | * Covered the period **1973-2003** (30 years) | ||
| + | * Compared them to matched controls of their birth sex | ||
| + | * Looked at health outcomes, mortality, suicide attempts, and crime | ||
| - | ==== Trick #1: Comparing Percentages of Wildly Different Groups ==== | + | **Primary purpose**: To assess whether medical transition helps patients and what support they might need post-transition. |
| - | You're comparing | + | **Critical point**: This studied people who completed surgical and hormonal transition - a **much smaller and more specific group** than " |
| - | **The Classroom Analogy** | + | ===== What the Study Actually Found ===== |
| - | * Classroom A: 129 students, 76 like chocolate = 58.9% | + | The researchers divided the cohort into two time periods: |
| - | * Classroom B: 78,781 students, 13,234 like chocolate = 16.8% | + | |
| - | Does Classroom A "like chocolate more"? No. Classroom B has **174 times more chocolate lovers**—it just looks smaller as a percentage because the classroom is massive. | + | ==== Cohort 1: 1973-1988 ==== |
| - | ==== Trick #2: Ignoring Who Gets Counted ==== | + | **Finding**: Trans people in this period were more likely to have criminal convictions than their matched birth-sex controls. |
| - | Here's what they don't tell you about that "129 trans prisoners" | + | From the study: |
| + | > "Male-to-females... retained a male pattern regarding criminality. The same was true regarding violent crime." | ||
| - | **The MoJ only counts trans prisoners who:** | + | **Context**: This cohort received |
| - | | + | |
| - | | + | |
| - | * Don't have a Gender Recognition Certificate (GRC) | + | |
| - | From the MoJ itself: | + | ==== Cohort 2: 1989-2003 ==== |
| - | > " | + | **Finding**: |
| - | **Why this matters**: Sexual offenses carry longer sentences. So you're only counting the subset of trans prisoners most likely to be sex offenders, then treating that as representative of all trans people. | + | **Context**: This cohort received **adequate mental health provision** during their transition. |
| - | **From the BBC article**: | + | ===== The Key Numbers ===== |
| - | > "Trans prisoners on shorter sentences—who won't be in the survey—are less likely to be sex offenders." | + | The study found male-to-female transitioners |
| + | * **Over 6 times** more likely to be convicted of an offense than female comparators | ||
| + | * **18 times** more likely to be convicted of a violent offense than female comparators | ||
| + | * **No statistically significant difference** from natal males | ||
| - | This is **selection bias**. It's like surveying | + | But remember: |
| + | * This was the **1973-1988 cohort** | ||
| + | * The **1989-2003 cohort showed no such pattern** | ||
| + | * We're talking about **324 surgically transitioned | ||
| - | ==== Trick #3: The Completely Fabricated "1,177 per Million" | + | ===== How the Study Gets Misused ===== |
| - | This number | + | **Common misrepresentations**: |
| - | They took: 76 ÷ 129 = 58.9% | + | - **Cherry-picking**: Only citing the 1973-1988 cohort, ignoring the later one |
| + | - **Overgeneralization**: | ||
| + | - **Temporal misapplication**: | ||
| + | - **Geographic misapplication**: | ||
| + | - **Context stripping**: | ||
| - | Then multiplied by... something? The number is made up. | + | **What the study CANNOT tell you**: |
| + | * ❌ Whether trans women are dangerous in public spaces | ||
| + | * ❌ Whether bathroom policies increase assault risk | ||
| + | * ❌ Whether self-identified (non-surgical) trans people pose risks | ||
| + | * ❌ Anything about modern trans populations | ||
| + | * ❌ Anything about trans people who aren't in Sweden | ||
| - | **The actual calculation** (if you wanted to do per-capita, which still has problems): | + | ===== The Author' |
| - | | + | Lead researcher |
| - | | + | |
| - | * Rate: 76 ÷ 48,000 × 1,000,000 = **1,583 per million** | + | |
| - | Wait, that's even higher! Except it' | + | **From a 2015 interview**: |
| - | * That 76 only counts a snapshot of who's in prison right now | + | |
| - | * It excludes those with GRCs | + | |
| - | * It's subject to the selection bias above | + | |
| - | * **Prison composition ≠ offense rates** | + | |
| - | ==== Trick #4: Misusing | + | > "The individual who is making claims about trans criminality, |
| - | When the prison data tricks fail, they pivot to citing a 2011 Swedish study (Dhejne et al.) claiming it shows trans women have "male patterns of criminality." | + | **On the later cohort**: |
| - | **What | + | > "If one divides |
| - | * 324 people who underwent full surgical transition in Sweden | + | |
| - | * Covered the period 1973-2003 | + | |
| - | * Compared them to matched controls of their birth sex | + | |
| - | * Primary purpose: assess whether medical transition helps patients | + | |
| - | + | ||
| - | **The actual findings: | + | |
| - | + | ||
| - | The study split into two cohorts: | + | |
| - | * **1973-1988 cohort**: Trans people more likely | + | |
| - | * **1989-2003 | + | |
| - | + | ||
| - | **The misrepresentation: | + | |
| - | + | ||
| - | People claim it shows "trans women retain male patterns of offending" | + | |
| - | * Cherry-picking the early cohort | + | |
| - | * Ignoring the later cohort showed no difference | + | |
| - | * Ignoring this was about surgically transitioned people only | + | |
| - | * Applying 1970s-1980s Swedish data to 2025 bathroom policy | + | |
| - | + | ||
| - | **The author' | + | |
| - | + | ||
| - | Lead researcher Cecilia Dhejne has repeatedly stated: | + | |
| - | + | ||
| - | > "The individual who is making claims about trans criminality, specifically rape likelihood, is **misrepresenting the study findings**." | + | |
| - | And specifically about the later cohort: | + | **Specifically on criminality patterns**: |
| > "This means that for the 1989 to 2003 group, **we did not find a male pattern of criminality**." | > "This means that for the 1989 to 2003 group, **we did not find a male pattern of criminality**." | ||
| - | === The " | + | **On how it's being used**: |
| - | Some groups like Murray Blackburn MacKenzie argue that Dhejne' | + | > " |
| - | **The problems with this argument:** | + | ===== The Murray Blackburn MacKenzie Counter-Claim ===== |
| - | * **Author intent is clear**: Dhejne explicitly states the study is being misrepresented | + | Murray Blackburn MacKenzie (MBM), a " |
| - | * **Absence of evidence ≠ evidence**: Not publishing a specific table doesn' | + | |
| - | * **Technical pedantry ignores context**: The author knows what her data shows | + | |
| - | * **Motivated reasoning**: | + | |
| - | **But here's the bigger point**: Even if we accepted MBM's interpretation, | + | ==== Their Argument ==== |
| - | * Study of 324 surgically transitioned people ≠ all trans people | + | MBM claims: |
| - | * 1973-2003 Swedish data ≠ 2025 UK/US policy | + | |
| - | * Crime statistics ≠ bathroom safety | + | |
| - | * Population-level data ≠ individual risk assessment | + | |
| - | **The study cannot support | + | > "The statement is only true in the trivial sense that patterns |
| - | ===== Why Prison Data Can' | + | They argue: |
| + | * The published paper didn' | ||
| + | * Dhejne' | ||
| + | * Therefore, we can't conclude that MtF specifically showed no male pattern in the later period | ||
| - | **What prison data shows**: Of the prisoners we have right now, here's the breakdown. | + | MBM concludes: |
| - | **What it doesn' | + | > "In the absence of any new peer-reviewed publication... the original published results remain the best available large scale quantitative comparative source." |
| - | **Why? Because you need:** | + | ==== Why MBM's Objections Are Weak ==== |
| - | | + | **1. Author Intent is Crystal Clear** |
| - | | + | |
| - | | + | |
| - | | + | |
| - | * Who's still in prison vs. who's been released | + | |
| - | **The absurd example**: " | + | Dhejne isn't being ambiguous. She explicitly states: |
| + | | ||
| + | | ||
| + | * The findings | ||
| - | Obviously wrong—but that's the exact error being made. | + | **2. Technical Pedantry vs. Substance** |
| - | ===== The Per-Capita Problem ===== | + | MBM's argument essentially says: "The author didn't publish a specific table breaking it down exactly this way, so we'll assume the opposite of what she says." |
| - | When population sizes differ by **600+ times**, per-capita rates become meaningless. | + | This is backwards logic. The absence of a hyper-specific table doesn' |
| - | **Watch what happens**: | + | **3. Motivated Reasoning** |
| - | ^ Group ^ Convictions ^ Population ^ Rate per 10,000 ^ | + | MBM is not a neutral academic source. They are a " |
| - | | Trans women | 76 | 48,000 | 15.83 | | + | |
| - | | Trans women (+6 more) | 82 | 48,000 | 17.08 | | + | |
| - | | Cisgender men | 13,234 | 29,177,200 | 4.54 | | + | |
| - | | Cisgender men (+6 more) | 13,240 | 29,177,200 | 4.54 | | + | |
| - | **Six additional cases**: | + | **4. The Author Knows Her Own Data** |
| - | * Changes trans women rate by **7.9%** | + | |
| - | | + | |
| - | This is why per-capita fails with vastly different population sizes. Small absolute changes create huge percentage swings in the smaller group. | + | Dhejne has access to the full dataset. If she says the later cohort showed no male pattern, she's basing that on the actual data, whether or not she published every possible cross-tabulation. |
| - | ===== What IS a Fair Comparison? ===== | + | **5. Even If MBM Were Right, It Doesn' |
| - | Ask the right question: **"Who commits these crimes?" | + | Even accepting MBM's most generous interpretation: |
| + | | ||
| + | | ||
| + | | ||
| + | | ||
| + | * Still doesn' | ||
| - | ^ Group ^ Sex Offenders ^ Percentage of All Sex Offenders ^ | + | ===== What Other Research Shows ===== |
| - | | Cisgender men | 13,234 | 99.43% | | + | |
| - | | Trans women | 76 | 0.57% | | + | |
| - | | **Total** | **13,310** | **100.00%** | | + | |
| - | **That's the reality**: 99.43% cisgender men, 0.57% trans women. | + | **Modern studies on actual bathroom policies** find: |
| - | Now put it in population context: | + | * **No increase in sexual assault** |
| - | * 76 out of ~59.6 million UK population = **0.000128%** | + | * **No increase in privacy violations** in such jurisdictions |
| - | * Or: **1 in 784,000** people | + | * **Trans people are victims** of harassment and assault in bathrooms at higher rates |
| - | ===== The Policy Disaster ===== | + | **Key studies**: |
| + | * American Academy of Pediatrics (2019): No safety issues in schools with inclusive policies | ||
| + | * Hasenbush et al. (2019): No link between trans-inclusive policies and safety incidents | ||
| + | * UK Government data: Trans people experience hate crimes at twice the rate of general population | ||
| - | If you used the manipulated statistics to guide policy, you'd: | + | ===== Why Context Matters ===== |
| - | * Focus resources on 76 people | + | Let's say, for argument' |
| - | * While ignoring 13,234 people | + | |
| - | * Because percentages looked scarier | + | |
| - | This is how over-policing of minorities happens while the majority committing crimes gets ignored. | + | **What it would tell us**: |
| + | * In 1970s-1980s Sweden | ||
| + | * Among people who underwent full surgical transition | ||
| + | * With inadequate mental health support | ||
| + | * There were elevated crime rates | ||
| - | **Note**: Per-capita doesn' | + | **What it would NOT tell us**: |
| + | * Anything about trans people who don' | ||
| + | | ||
| + | | ||
| + | | ||
| + | | ||
| + | * Anything useful for 2025 policy decisions | ||
| - | ===== What About Actual Conviction Rates? ===== | + | **The improved outcomes in the later cohort suggest**: Better healthcare and social support |
| - | Using **total convicted individuals** (not just prisoners): | + | ===== The Irony ===== |
| - | | + | **If we take the study seriously**, it actually shows: |
| - | * **222 cisgender men per million** have sexual offense convictions | + | |
| - | Even this comparison has problems (reporting rates, conviction rates), but it' | + | |
| - | + | * ✅ Conditions improved dramatically between the cohorts | |
| - | ===== What Research Actually Shows ===== | + | * ✅ The later cohort (1989-2003) showed no concerning patterns |
| - | + | * ✅ This supports providing good healthcare to trans people | |
| - | **Multiple peer-reviewed studies** examining bathroom policies find: | + | |
| - | + | ||
| - | * **No increase in sexual assault** in jurisdictions with trans-inclusive bathroom policies | + | |
| - | * **Trans | + | |
| - | The original claim: " | + | **Yet it's being weaponized to argue**: |
| + | * ❌ Trans people | ||
| + | * ❌ We should restrict | ||
| + | * ❌ Medical transition doesn' | ||
| - | **Prison data doesn't refute this** because: | + | The study's actual conclusion undermines the claims being made with it. |
| - | * Doesn' | + | |
| - | * Doesn' | + | |
| - | * Can't tell us about bathrooms specifically | + | |
| ===== Summary ===== | ===== Summary ===== | ||
| - | //" | + | The Dhejne et al. (2011) Swedish study: |
| - | The claims rest on: | + | **What it actually examined**: |
| + | * 324 surgically transitioned people in Sweden (1973-2003) | ||
| + | * Found elevated rates in early cohort (1973-1988) | ||
| + | * Found no difference in later cohort (1989-2003) | ||
| + | * Suggests better healthcare support = better outcomes | ||
| - | | + | **How it gets misused**: |
| - | * **Selection bias** (only counting long-sentence prisoners) | + | * Cherry-picking early cohort data |
| - | * **Fabricated statistics** (" | + | * Ignoring |
| - | * **Misusing the Swedish study** (ignoring | + | * Applying to all trans people |
| - | * **Confusing prison composition with crime rates** | + | * Using 1970s-1980s data for 2020s policy |
| - | * **Misusing per-capita** (doesn't work with 600x population differences) | + | |
| - | **The reality**: | + | **The MBM objection**: |
| - | * 99.43% of sexual offense prisoners | + | * Claims author' |
| - | * 0.57% are trans women | + | * Based on absence of specific published cross-tabs |
| - | * That's 1 in 784,000 people in the UK | + | * From a " |
| - | * Research shows no safety concerns with trans-inclusive policies | + | * Even if valid, |
| - | * The Swedish study doesn' | + | |
| - | When statistics are presented without proper context or with misleading comparisons between vastly different group sizes, they distort reality. | + | **The bottom line**: |
| + | * The author says it's being misrepresented | ||
| + | * The later cohort showed no concerning patterns | ||
| + | * It can't support modern policy claims regardless | ||
| + | * Modern research shows no safety concerns | ||
| ===== Sources ===== | ===== Sources ===== | ||
| - | | + | * Dhejne |
| - | * BBC Reality Check: "How many transgender inmates are there?" | + | * Dhejne interview (2015) regarding misuse of study findings |
| - | | + | * Murray Blackburn MacKenzie |
| - | * Murray Blackburn MacKenzie analysis of Dhejne study | + | * Hasenbush A, et al. (2019) " |
| - | * UK Ministry | + | * American Academy |
| * Stop Hate UK: Transgender hate crime statistics | * Stop Hate UK: Transgender hate crime statistics | ||
| - | * American Academy | + | * Fair Play for Women submission to Parliament (2020) - includes discussion |
| - | * Springer: Safety and privacy research | + | |
| ---- | ---- | ||
| - | //This article | + | //This article |