Esso ⛽
8.3K posts

Esso ⛽
@essowolf
17 • He/Him • 🇵🇪 • Furry • (pedos and zoos DNI!!) • pfp by @noobheadlife • discord is _3sso
Katılım Kasım 2023
1K Takip Edilen1.1K Takipçiler
Esso ⛽ retweetledi

some porn addicted twitter and tiktok kids, mostly common in roblox, fnf and furry spaces combined I have seen will defend shit like this and point at us for "misogyny" if we find unrealistic and objectifying proportions of women messed up especially in spaces meant for all ages including literal toddlers.
TBTヌメルゴン@TBT_Goodra
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🚨 WHAT THE DATA ACTUALLY SHOWS ABOUT SEXUAL ABUSE
📊 1. Most Offenders Are NOT Strangers
According to data from the U.S. Department of Justice and RAINN:
About 90% of child sexual abuse victims know their abuser
This includes:
Family members
Family friends
Authority figures (teachers, coaches, religious leaders)
👉 This already tells you the issue is about access and trust, not identity.
📊 2. Gender Breakdown of Offenders
Research consistently shows:
The overwhelming majority of offenders are male
Most are cisgender men (meaning not transgender)
There is no dataset from law enforcement or national crime reports that shows transgender people committing these crimes at higher rates.
📊 3. Transgender Population vs Crime Data
Here’s something important:
Transgender people make up a very small percentage of the population (estimated under 1–2%)
If they were committing crimes at unusually high rates, it would clearly show up in national crime statistics
👉 But it doesn’t.
Organizations and crime databases simply do not report a disproportionate link.
📊 4. What Research Focuses On Instead
Groups like the Centers for Disease Control and Prevention (CDC) and National Sexual Violence Resource Center focus on actual risk factors:
Prior history of abuse
Lack of supervision
Environments with weak accountability
Grooming behavior patterns
Power imbalance (adult vs child, authority vs dependent)
👉 Notice: identity is not listed as a risk factor
🚨 WHY SOCIAL MEDIA CREATES A DIFFERENT IMPRESSION
⚠️ 1. Viral Amplification
Cases involving transgender individuals:
Get more clicks
Get more outrage
Get pushed harder by algorithms
So you see them more often than they actually occur.
⚠️ 2. Narrative Framing
Some posts deliberately frame stories like:
“man pretending to be a woman”
This is not neutral reporting. It’s designed to create a pattern in your mind, even when none exists in the data.
⚠️ 3. Selective Attention
If 1 case involving a trans person goes viral, but 1,000 other cases don’t, your brain still remembers the viral one.
That’s how a false trend forms psychologically.
🚨 THE REAL PATTERN (BASED ON DATA)
If you strip away social media noise, the actual pattern is:
Abuse is usually committed by someone known to the victim
It happens in trusted environments
It is driven by opportunity, control, and secrecy
It cuts across all identities, backgrounds, and societies
⚠️ FINAL REALITY CHECK
Saying “this keeps happening among trans people” feels convincing because of what you’re seeing online, but:
❌ It is not supported by crime data
❌ It misidentifies the real causes
❌ It can distract from actual prevention efforts
✔ The evidence points to system failures and individual offenders, not identity groups

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