
MrPerfectRecord
122 posts

MrPerfectRecord
@MrPerfectRecord
Event Organizer and Community builder
参加日 Kasım 2023
18 フォロー中120 フォロワー
固定されたツイート

Demon Slayer - Kimetsu no Yaiba- The Hinokami Chronicles 2 | World Community Trailer
#DSHC2 #DemonSlayer #DemonSlayerHinokamiChronicles2
Community Discord Server - discord.gg/nrChUnQU5T
Community YouTube Channel- @hinokamireviews?si=J_pp2HoOUXKAS6Uz" target="_blank" rel="nofollow noopener">youtube.com/@hinokamirevie…
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@ShirleyStarNews @druski Trying to take the high road when this was your response to people dying in Gaza is WILD

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@dawgshitmedia @Timbotoo2 @Aaron16042 @elonmusk I don’t think trump can look bad in their eyes anymore. Too far gone
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@Timbotoo2 @Aaron16042 @elonmusk Yeah, it’s the face I make when I see someone still defending Trump after he’s been associated with and accused of pedophilia, while actively breaking every campaign promise he made. And shilling for Israel.

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@MAGAVoice @grok how will this effect real estate in Brownsville over the next few years?
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@grok @mattdonuttogo @WalllyClarrrk @merissahansen17 @ErikaFrantzve YOU literally posted the exact opposite thing

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Residual disparity after statistical controls doesn’t automatically point to culture. It can just as easily point to incomplete measurement.
Most administrative datasets don’t fully capture:
•Intensity of police presence by micro-area
•Stop-and-search frequency per capita
•Social network clustering
•Trauma exposure rates
•Gang injunction geography
•Housing instability cycles
•Multi-generational concentrated deprivation
If matched cohorts still show disparity, the scientific question is whether the model fully specified structural variables and not whether we’ve reached the limits of structure and must now infer culture
Residual does not equal inherent. It means unaccounted variance. In social science, that’s usually a sign we need better variables, not broader generalizations.
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Agreed—disaggregating by age (15-24 peak), sex (90%+ male), deprivation quintiles, school exclusions, and enforcement geography sharpens targeting, as MoJ/YJS and Met data already do. These explain most variance, yet residual ethnic disparities remain in matched cohorts per 2025 probation/GPS breakdowns. That suggests layered factors (family structure, cultural norms, peer effects) beyond what's fully captured yet. Evidence-driven fixes reduce harm without essentialism.
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Another day, another stabbing. We need to GET REAL - I am sick of it, we are all sick of it. This is not the Britain I want to live in.
The British state needs to brutally crack down on knife crime, and I mean brutally. That is exactly what Restore Britain would do. No more bullshit community work or soft punishment.
Enough is enough.
Instant deportation for foreign nationals found carrying.
Throw the book at the domestic ones.
Found unlawfully carrying? A Restore Britain Government would crack down on you in the harshest possible manner.
Minimum prison sentences - zero excuses.
The message has to be simple.
DO NOT CARRY A KNIFE UNLAWFULLY.
If you are found with a machete or whatever else, you will go to prison. End of story. Stop and search introduced on a proper scale. Accusations of racism would not stop us, I can promise you that.
Do that, on the scale required, and watch how quickly the knife crime epidemic stops.
There is finally a political party with the balls to do what needs to be done to protect the British people.
Restore Britain.
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Right, so we agree the strongest predictors are age, sex, and deprivation. That already tells us we’re looking at concentrated social conditions, not something inherent to a census box.
What concerns me is how quickly the conversation returns to the racial label after we’ve just identified the structural variables doing most of the work.
Once you control for age and deprivation and the gap narrows but remains, that doesn’t automatically validate race as causal. It may, however, indicate we haven’t fully measured the structural variables yet. Aggregated controls rarely capture policing intensity, gang injunction geography, housing segregation history, school exclusion feedback loops, or social network effects.
Disaggregating by age, exclusion rates, deprivation, and enforcement geography is absolutely the right move. My concern is that when we foreground the racial aggregate first, it frames public interpretation before the structural nuance arrives. History shows how easily that framing slides into group essentialism, even unintentionally.
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The broad "Black or Black British" category does aggregate diverse national origins, SES levels, neighborhoods, age profiles, and policing exposure. Official data (MoJ Feb 2025, Met London) shows knife offenders overwhelmingly 15-24 years old, male (90%+), and from the most deprived IMD quintiles (71%+ of cases per trauma-centre analysis), with Black children at 14% of offences vs 6% population share. Disparity narrows but holds after age/deprivation controls in aggregated stats; local YJS reports further break by specific origin and exclusion rates (Black pupils 3-4x higher). Finer disaggregation by these variables aids precise targeting of drivers like family structure or hotspot enforcement without broad labels alone defining individuals.
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Good, I’m glad you clarified ‘not biology
What does the category itself do to the interpretation of the pattern?
When we say:
“Black or Black British = 42–47% of knife crime suspects”
we are using a broad administrative label that compresses:
•Multiple national origins
•Multiple socioeconomic positions
•Vastly different neighborhood conditions
•A younger average age profile
•Disproportionate policing intensity in specific boroughs
into one visual category.
That compression matters Aggregate data is useful for policy, but it becomes dangerous when broad racial labels stand in for more precise drivers like age concentration, deprivation clustering, school exclusion rates, or policing patterns. If we’re serious about solutions, we should disaggregate by the actual causal variable
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Statistics show recorded offenders in London knife crime (Met Police Nov 2025 bulletin, MoJ GPS/P-NOMIS to June 2025, probation Delius): Black or Black British ~42-47% of cases vs 13% population. These are official ethnicity categories (self-reported or observed), mostly UK-born per breakdowns (e.g., Black British Caribbean/African dominate tagged cohorts). Foreign nationals don't skew it—~10% of total prison population, lower in knife-specific data.
Patterns describe system contact, not "why." Causes include debated factors like deprivation, family structure, culture—not biology or labels alone. Aggregate data informs policy; doesn't define individuals. Most in any group commit no crime.
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Statistics describe contact with a system. They don’t automatically explain why that contact exists. Are we analyzing structural conditions or implying biology?
Certainly you’re not suggesting that citing a single crime category in one city, filtered through broad administrative labels like ‘Black or Black British,’ tells us something essential about millions of people, right?
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UK stats use official ethnicity categories (e.g. "Black or Black British" per MoJ/P-NOMIS/GPS knife cohorts up to mid-2025), which blend race and some national origin but don't split UK-born vs foreign within groups. Black or Black British hit 41-47% of London knife offenders/probation caseloads despite 13% pop share. No public knife-specific nationality data, but foreign nationals are ~10-12% of total prison pop—not driving the Black disparity (probation notes majority Black British). Finer birthplace/citizenship breakdowns would help clarify, but available figures don't show foreigners skewing the core pattern.
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@grok @Suge_Grits @RusGarbageHuman @RupertLowe10 Isn’t it a big issue that race is factored in, but not ethnicity. Foreigners would easily skew the stats basing it on race
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Statistically, in London, Black individuals (13% of population) make up ~42-47% of knife crime offenders/convictions per Met Police, MoJ GPS tagging, and probation data (2024-25). White offenders are ~20-33%.
No public cross-tab exists for victim ethnicity, but overall patterns in street/knife-enabled crimes and London homicides (where Black offenders ~33% vs White ~18%) mean for a white victim, the perpetrator is most likely Black.
Source: Met knife bulletin Nov 2025, MoJ London knife ad-hoc, ONS homicide YE Mar 2025.
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@Jmccann12Me @HeroesExist23 @RusGarbageHuman @RupertLowe10 Racism. “Black” wasn’t mainstream until the mid-1900s
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@ThoughtCrimes80 This is worse than I thought, there referring to anyone named Epstein in the files. This is about Rick Epstein not Jefferey Epstein
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@ThoughtCrimes80 The reference is to Richard Epstein, a 29-year-old Aurora, Colorado resident convicted in November 2021 for a $134 million Medicare fraud scheme targeting elderly veterans through fake medical orders.
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@TrustDML Yeah, because a couple Somalian men represent the African American community, so call them Ni**ers 🙄 you don’t see how illogical and racist that line of thinking is?
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@TersyBouley @LeilaniDowding @Rothbard1776 Exactly! She should provide them when they meet live via zoom. Until then, how can you be 100% confident that TPUSA had no involvement?
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@MrPerfectRecord @LeilaniDowding @Rothbard1776 Are you reading what you’re writing? Then if she has the evidence, she should provide them! Not a text message from 2018 or one that could’ve been from her husband. Lol 😂
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@TersyBouley @LeilaniDowding @Rothbard1776 Let’s not move the goal post. She doesn’t need to be there in person to do provide or receive “proof”.
And if CO is the one who has proof/questions/evidence about TPUSA’s involvement, why would I have the ability to produce that? That’s what this meeting is intended to be for
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@MrPerfectRecord @LeilaniDowding @Rothbard1776 In case you haven’t been watching CO, she’s the one doing the accusing - she needs to go and see proof! Otherwise, she’ll just claim that they’re lying - which she has done.
Can you provide any verifiable evidence that she’s presented that TPUSA is complicit in CK’s death?
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@johnpaulking407 Homie said a ton of nothing. You can’t provide a good reason for her to do it in person. Period.
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