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Channel

黑桃♠心理自救中心【拯救自我 立刻开始】

@dontbbc

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

434subscribers

+120 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004492933356
TypeChannel
Username@dontbbc
Created28 July 2026measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/dontbbc

Growth

3144343747 August 2026 — 314 subscribers8 August 2026 — 314 subscribers8 August 2026 — 328 subscribers16 August 2026 — 379 subscribers24 August 2026 — 416 subscribers30 August 2026 — 434 subscribers7 August 202630 August 2026
6 measurements spanning 23 days, net +120. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 296–452 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 18:24434+18
24 Aug 2026, 13:34416+37
16 Aug 2026, 18:37379+51
8 Aug 2026, 17:40328+14
8 Aug 2026, 07:35314no change
7 Aug 2026, 20:33314first reading

Engagement

13 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
149.5%
avg views ÷ 434 subscribers
Avg views / post
649
3 posts measured
Reaction rate
0.294%
reactions ÷ views · ER floor
Posts in window
3
of 13 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held13 (28 July 20264 August 2026)
Views total1,947
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:35 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
42s
Average length
11s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 2 of the 13 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 28 July 2026 to 4 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

4 Aug 2026, 09:02 UTC340 views1 reactionsread 8 August 2026
Photo

【科普第七课】抖M型媚黑男性患者的典型表现 男性患者中,抖M亚型常表现为“主动献祭式”成瘾。性唤起高度依赖以下元素的反复强化: 身份崩解与自我污名化:患者在幻想或现实中主动构建“劣等种族男性”的叙事,将自身阴茎尺寸、体能、性能力与黑人男性进行持续对比,并由此产生强烈的羞耻性快感。常见强迫性自我评价包括“白/亚裔男性在性上注定失败”“只有被黑人男性彻底取代才有存在价值”。 身体与场景的受虐仪式:患者往往沉迷于被要求跪姿、口交侍奉、当面观看伴侣与黑人男性性交(cuckold场景)、被言语羞辱(如“废物”“只配舔鞋”“你的女人属于更强的种族”)等情境。部分患者会主动寻求被轻度物理支配(束缚、拍打、强制口交至窒息边缘),并将这些行为与种族崇拜绑定,形成条件反射式高潮。 关系层面的破坏性循环:许多患者在伴侣关系中主动诱导或默许“分享”行为,事后却陷入强烈的自我厌恶与再次寻求刺激的矛盾。成瘾后期,部分人会完全放弃与同种族伴侣的性互动,仅能

1

3 Aug 2026, 14:07 UTC≈1,120 viewsread 8 August 2026
Video

【科普第六课】什么是“黑爹”,为什么媚黑文化里喜欢主动称呼黑爹?从称呼开始拒绝媚黑侵蚀! 在媚黑亚文化里,把黑人男性称为「黑爹」不是随意起的外号,而是这套性幻想体系里刻意强化权力关系的核心称呼。主要原因可以从几个层面理解: ### 1. 「爹」本身就是支配与服从的符号 在BDSM、年龄扮演(Age Play)和很多性癖语境里,「Daddy」本来就代表: - 权威、控制、保护(或占有) - 被称呼的一方处于上位、主导地位 - 称呼的一方则处于下位、被管教、被使用的位置 把「黑」和「爹」合在一起,等于把种族差异直接叠加在这种权力结构上,让支配关系变得更鲜明、更极端。 ### 2. 强化「种族性优势」的幻想叙事 媚黑文化的核心幻想之一,是把黑人男性塑造成性能力上的绝对上位者: - 尺寸、持久力、征服力被神话化 - 亚洲(或白人)男性则被相对贬低为「不够格」 叫「黑爹」等于公开承认并沉浸在这种「我被更高一级的雄性征服/管教」的

2 Aug 2026, 12:47 UTC487 viewsread 8 August 2026
Photo

媚黑患者主动公开 媚黑治疗自救地址 https://t.me/+3vl6S1SWr0cwNWNh

30 Jul 2026, 08:09 UTC≈2,630 viewsread 8 August 2026
Photo

【科普第五课】什么是BNWO?为什么我经常看到这个词汇并且觉得很有吸引力?先了解再根治! BNWO(Black New World Order,黑人新世界秩序) 是一个高度边缘、主要存在于网络成人社群中的 raceplay / BDSM 亚文化。它把“黑人在性、基因、社会地位上全面优越,其他种族(尤其白人、有时也包括亚洲人)应顺从、被取代或被羞辱”这一设定色情化。它几乎完全是性幻想框架,而非现实政治运动。下面从心理机制角度拆解其运作逻辑。 ### 1. 核心动力:权力倒置与禁忌突破 BNWO 的吸引力很大程度上来自彻底翻转既有权力结构。在主流社会叙事中,白人/西方曾长期处于优势地位;BNWO 把这个结构完全颠倒——黑人成为绝对支配者,其他男性被降格为“劣等基因载体”或“性服务者”。 这种倒置触发强烈的禁忌兴奋(taboo arousal)。人类性心理中,越是被社会禁止、道德谴责的主题,越容易在私密幻想中产生强烈快感。种族优

30 Jul 2026, 02:47 UTC≈1,800 viewsread 8 August 2026
Video

【科普第四课】警惕!危险!常用这些词汇会加重媚黑倾向到底是否真实?我们机构建议您尽量避免或谨慎使用! "发情","骚浪","精厕","无耻","无底限","献媚","喷逼","肉穴","肏烂","人形飞机杯","奶子","泄欲工具","背德","快感","舔舐","谄媚","抽搐","缠绵","肏穴","受孕", "湿润","肉腚","肆意浪叫","吐着舌头","肏晕","孕袋","咕叽咕叽","淫汁","肥腚","淫乱","香艳","露骨","主动服侍","蜜穴","口爆","便器化","崇拜","雌性","灌满子宫","满脸媚意", "雌化","湿吻","肉奶","媚肉","乳液","乳首","强制高潮","美熟","雌肥","大奶","腚沟","腥骚","肉屄","臭尿","雌肥","白皙", 小小 乐起: "舔逼","骚","冒着热气","母牛","洗脑","淫妻","母狗","小阴蒂","轮奸","交合处","骚逼"

29 Jul 2026, 05:11 UTC≈1,180 viewsread 8 August 2026
Video

【全球男性生殖器官测量数据】 以下是基于目前最可靠的科学研究(优先采用医生/专业人员实际测量、系统综述与荟萃分析)整理的真实数据。所有数据均以厘米为单位,括号内为大致英寸换算。 ### 全球总体平均值(专业测量) 最常被引用的两份高质量系统综述: - Veale 等人(2015年,BJU International):汇总最多约 15,521 名男性的数据 - 勃起长度:平均 13.12 cm(约 5.17 英寸),标准差约 1.66 cm - 拉伸长度:平均 13.24 cm - 疲软长度:平均 9.16 cm - 勃起周长:平均 11.66 cm - Mostafaei 等人(2025年,Urology Research and Practice):更新、更大样本(共 36,883 人) - 勃起长度:平均 13.84 cm(约 5.45 英寸) - 拉伸长度:平均 12.84 cm - 疲

29 Jul 2026, 03:43 UTC≈2,360 viewsread 8 August 2026
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【戒♠第二课】为什么黑人基因被描述的强大?这是事实还是虚构? ### 身体与基因层面的“不可逆” 黑人血统带来的深肤色、卷曲发质、更宽的鼻翼、更厚的嘴唇、更高的肌肉密度与更长的四肢比例,在混血后代身上往往不会被亚洲基因轻易抹掉。哪怕只有四分之一或八分之一非洲血统,孩子仍可能保留明显的黑人特征——这在媚黑叙事里被解读为“基因层级更高”。亚洲人常见的较浅肤色、直发、相对扁平的面部轮廓,在面对这种组合时显得“脆弱”和“可被覆盖”。于是混血现场常出现一种视觉落差:黑人父亲/母亲的特征压倒性地留在孩子脸上,而亚洲一方的贡献被弱化,这种视觉结果本身就足以让部分亚洲人产生“我们的基因不够硬”的挫败感。 ### 性爱与体力上的压倒性叙事 媚黑话语最核心的部分几乎总是指向性。黑人男性被塑造成平均拥有更大尺寸、更强爆发力、更持久的体能与更快的恢复速度。这种描述被延伸为:在实际性爱中,黑人能够提供更强烈的冲击感、更长的持续时间和更明显的征服感。亚

28 Jul 2026, 16:54 UTCviews —

Channel name was changed to «黑桃♠心理自救中心【拯救自我 立刻开始】»

28 Jul 2026, 16:49 UTC≈1,610 views0 reactionsread 8 August 2026
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【入群第一课】了解什么是媚黑性癖,才能根治! 媚黑性癖(也常被直接称为“媚黑癖”或“黑种崇拜性癖”)是一种明确以种族特征为核心触发点的性偏好。它不是简单的“喜欢黑皮肤的人”,而是把黑人身体、气质、以及与之绑定的强烈性符号当作主要甚至唯一的情欲来源。 核心吸引力通常集中在这些元素上: 皮肤的深色光泽与肌肉线条的对比反差 被放大、被符号化的男性性征(尤其是“BBC”这一在成人内容里被反复强化的意象) 气质上的“原始”“强势”“无法被驯服”的感觉 以及由此产生的臣服、对比、甚至自我贬低的快感 对拥有这种性癖的人来说,黑人不只是“另一种肤色的对象”,而是性幻想里几乎不可替代的“顶级猎物”或“绝对上位者”。视觉上,深色皮肤在灯光下的反光、宽阔的肩背、厚实的嘴唇、以及被刻意突出的身体比例,都能瞬间点燃欲望;触觉与想象上,则是那种被更大、更热、更有侵略性的身体完全覆盖、贯穿、占有的画面。许多相关幻想会强调“被彻底填满”“被对比得显得娇小”“被

Showing the 12 most recent of 13 posts we hold for @dontbbc. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 834,387 of 1,629,452 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 30 August 2026 — this entry's latest reading, not the date you are reading this.

“黑桃♠心理自救中心【拯救自我 立刻开始】” (@dontbbc), 434 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/dontbbc.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.