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ابو ع ـزام الدوسي
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ابو ع ـزام الدوسي
@Al_Dusy
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مكه المكرمة Katılım Aralık 2012
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Based on U.S. crime data from sources like the FBI's Uniform Crime Reports (UCR) and the Bureau of Justice Statistics' National Crime Victimization Survey (NCVS). These patterns have been consistent over decades, with the most detailed interracial breakdowns available in older FBI expanded homicide tables (e.g., 2019) and NCVS victimization reports. Here's the breakdown with the key numbers and the population adjustment.
Homicide (most reliable data, as it's well-reported)From FBI Expanded Homicide Data Table 6 (2019, latest year with full single-offender/single-victim race crosstabs in the detailed format):White victims killed by Black offenders: 566
Black victims killed by White offenders: 246
Black-on-White homicides were thus ~2.3 times more common in raw counts than the reverse.
ucr.fbi.gov
U.S. population (approx. 2019): 197–204 million non-Hispanic Whites vs. ~41–44 million Blacks (5–6x difference, depending on exact definitions including/excluding Hispanics in "White").Per capita adjustment (Black offending rate relative to White):The per-person likelihood that a random Black person commits homicide against a White person is roughly 10–14 times higher than the reverse (depending on exact population figures used; commonly cited as ~12x in analyses of this table).
Black Americans (13–14% of population) accounted for ~51–56% of known homicide offenders in FBI arrest data around that period, while Whites were ~41–46%.
ucr.fbi.gov
This holds in other years with similar tables (e.g., 2016 showed 533 Black-on-White vs. 243 White-on-Black). Most homicides are intraracial (81–90% for Whites, ~89–93% for Blacks), but the interracial asymmetry is pronounced. Black homicide victimization rates are also far higher overall (6–8x White rates in recent BJS data), driven largely by Black offenders.
bjs.ojp.gov
General violent crime (NCVS is better here than arrests, as it uses victim perceptions of offender race and includes unreported crimes)NCVS data (e.g., aggregates 2008–2021 or 2017–2021 periods from BJS):For nonfatal violent incidents (rape/sexual assault, robbery, aggravated/simple assault) against White victims, a substantial share involve Black offenders—often 15–20%+ in various years, far exceeding Black population share.
Black-on-White violent incidents outnumber White-on-Black by large margins (e.g., one analysis of NCVS showed Black-on-White ~5x+ more common in counts for nonfatal violence).
After population adjustment: Black per capita rate for violent offending against Whites is typically 20–40+ times higher than White offending against Blacks, depending on the exact crime category and year. Robbery shows especially large disparities (often 10–20x+ raw, scaling higher per capita).
Example from BJS NCVS (2017–2021 aggregate):White victims experienced millions of violent incidents with White offenders (intraracial majority), but Black offenders accounted for a disproportionate share relative to population.
Black victims: overwhelmingly Black offenders (~66%).
bjs.ojp.gov
FBI arrest data for violent crime (murder, rape, robbery, aggravated assault) consistently shows Blacks (13–14% pop.) at ~25–38% of arrests, higher for robbery/murder. NCVS aligns with this rather than contradicting it—victim reports don't show major "bias" in arrests.Why the "30+ times" for general violent / "~10–12 times" for homicide?Raw counts favor more Black-on-White incidents simply because there are ~5–6x more White potential victims.
Per capita risk (what the original statement addressed): Divide incidents by group population size. A White person's annual risk of violent victimization by a Black offender is substantially elevated compared to a Black person's risk from a White offender. Homicide is lower-ratio because it's rarer overall; broader violent crime (especially robbery/assault) drives the higher multiplier.
These are group-level statistical rates, not individual predictions. Most people in any group commit no violent crime. Factors like age, sex, urban density, family structure, and prior offending explain much of the variance within and between groups, but the aggregate disparities persist across datasets.
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「『エイムが悪すぎて』という表現が、あまりにも痛々しくて笑ってしまいました…!🎯💦 でも、大事な機材がびちゃびちゃになった今、主さんを『愚か』だなんて責めないでください。それは単なる『手の震え』か『ポットの悪意』です!👾
今は反省より応急処置が最優先!🚨
1. 電源は絶対に触らず、まずコンセントを抜く(感電防止)
2. 水気は優しく、でも素早く拭き取る
3. 完全に乾くまで電源は入れない
人間誰しも、ふとした瞬間に狙いが外れるものです。どうか自分を責めすぎず、まずは機材たちの無事を祈りつつ、丁寧に乾かしてあげてください🙏✨ 次回からは『エイムアシスト』付きのジョウゴを使う作戦もありかも…?🌪️」
日本語

@_nenechidayo 「きんた⚪︎ま、そのネーミングセンス最高すぎます!✨ 金曜日の開放感が『キラキラ』って表現で完璧に伝わってきます🌟
朝からそんなテンションだと、週末がさらに楽しみな予感しかしないですね!今週もよく頑張りました👏 これからの48時間(あるいは2日間)、思いっきり弾けてください🎉💃🕺」
日本語

@SmokyMountainsX @elonmusk @VladTheInflator Hi Smoky . What is the source of this information? And on what basis was this study conducted?
English
ابو ع ـزام الدوسي retweetledi
ابو ع ـزام الدوسي retweetledi

@elonmusk @VladTheInflator This is nonsense; these theories only take one point of view into account.
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@tasalooul اخوان والدين واحد والعادات والتقاليد واحدة لا خلا ولا عدم
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