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Channel

硬了么参考报告

@SZZZJreport

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

25,373subscribers

+2,707 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002530265465
TypeChannel
Username@SZZZJreport
Description所有报告都带有一定主观性,难免掺杂个人情绪与喜好。 别人觉得好,不代表一定适合你;别人觉得差,也未必真的差。 部分好评可能存在刻意包装或刷评行为; 部分差评也可能源于个人诉求未被满足后的情绪发泄。 因此无论好评还是差评,都可能会对优点或缺点有所放大。 希望大家理性参考、文明出击,如实反馈。 报告仅供参考,具体体验请自行判断。 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头,切勿来都来了 硬了么不敢承诺零踩雷,但我们一直在做的,就是尽量让你在百人斩的途中,99次都能安全下车。
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held67
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/SZZZJreport

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

22,66625,37324,019.56 August 202612 November 2026
67 measurements spanning 98 days, net +2,707. 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 22,260–25,779 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 67
Measured (UTC)SubscribersChange
12 Nov 2026, 23:1625,373+82
10 Nov 2026, 18:2725,291+88
9 Nov 2026, 03:3725,203+40
7 Nov 2026, 20:5625,163+56
6 Nov 2026, 18:3725,107+28
5 Nov 2026, 17:2125,079+42
4 Nov 2026, 19:2125,037+11
3 Nov 2026, 17:0525,026-3
2 Nov 2026, 13:5525,029+13
1 Nov 2026, 13:1725,016+23
31 Oct 2026, 14:0624,993+8
30 Oct 2026, 16:3424,985-34
29 Oct 2026, 19:4825,019+37
28 Oct 2026, 17:1824,982+20
27 Oct 2026, 19:3624,962+34
26 Oct 2026, 17:3924,928+21
25 Oct 2026, 20:4024,907+29
24 Oct 2026, 20:4824,878+15
23 Oct 2026, 22:2924,863+32
22 Oct 2026, 23:5624,831first reading

Engagement

2,040 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 143 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.742%
avg views ÷ 25,373 subscribers
Avg views / post
188
766 posts measured
Reaction rate
0.322%
reactions ÷ views · ER floor
Posts in window
766
of 2,040 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 123 of 766 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 13 November 2026
Posts held2,040 (5 August 2026 – 13 November 2026)
Views total144,207
Reactions total111
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 23:32 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

Photos
≈10,300
Videos
≈11
Links
≈12,500

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 03s
Average length
16s

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

132 reactions across 110 posts, in 2 distinct kinds. The most used accounts for 93.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤12493.9%
👍86.06%

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 152 of the 1,000 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 132 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 October 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 46 of 766 posts held from the last 30 days (6.01%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 18:52 UTC92 views1 reactionsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-14 老师:#苗苗 留名:qweiop ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:苗苗进门穿了条红裙。她皮肤白,身上有点肉,穿这个是真好看。刚见面我还觉得她有点高冷,心想今天估计话不多。后面才发现我想多了哈哈。 陪浴,我从头到尾都没伸手,洗完也是帮擦。中间她蹲下来给我口,我低头看她,她也抬头看我,就那么对了一眼,当时就有点顶不住了。这辈子目前为止体验过最顶的陪浴。 B面全身吸水、胸推、指滑、鼻息、做到后面,鸡儿邦邦硬,出了很多水,已经在盼着赶紧换A面了。 A面一开始是口,后来慢慢到深喉,手上还在逗我乳头。中间换了个360度69,之前没试过这个,确实爽。然后苗苗一边和我舌吻一边给我戴套…

❤1

13 Nov 2026, 18:51 UTC82 views1 reactionsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-14 老师:#小小雪 留名:马可波罗 ---【👙整体形象】--- 人照差别:8.5 身材比例:8.8 气质魅力:8.5 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9.5 舒适度:8.8 整场综合评分:8.85 ---【📝服务详情】--- 【过程描述】:没事刷着榜单 看到小雪老师 就和老师约了时间 然后开车前往 课室是在小区 停车也方便的 然后老师遥控上楼 但是让我在楼梯间待了差不多半个小时 这个我就很恼火 不过后来老师说出去吃东西了 服务也做得挺好的 进门先交了水费 然后洗澡 没有陪浴 简单洗了一下 就开始上床 服务的挺仔细 老师给我深喉旋转了几下 我就迫不及待的带上了 从前面艹了几下 然后就后入秒了 接着第二次 搞半天搞不出来了 我看老师也累坏了 我也就算了吧 直接开车回家 有的时候老师还送我到门口 给我拿水 挺体贴的。 【优点】:深喉 很…

❤1

13 Nov 2026, 18:47 UTC70 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-14 老师:#小乖 留名:吴老狗(狗五爷驯兽师之王) ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9.5 舒适度:9.5 整场综合评分:9.17 ---【📝服务详情】--- 【过程描述】:看群里兄弟推荐小乖老师,一看频道照片是我喜欢的类型,立马约上,遥控上楼,一进门一看老师身形清隽纤柔,体态轻盈从容。清瘦的轮廓衬得五官愈发温润,褪去青涩,带着松弛优雅的韵味,瘦得好看,美得内敛,越品越动人,果断付了水费。老师主动陪浴,用沐浴露把我鸡儿清洗干净,我手动擦干身体,老师准备好漱口水,两人用完漱口水。老师带我到床上,先开始舔胸,舔了一会,我看着老师精致的容颜,我主动要求舌吻,老师也是大蟒蛇,我跟老师舌头搅拌在一起,蛇了个饱。来到口活环节,老师口活非常厉害,一点齿感没有,不喊停就一直口,口…

13 Nov 2026, 18:46 UTC64 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-14 老师:#景慧 留名:吴老狗(狗五爷驯兽师之王) ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9.5 舒适度:9.5 整场综合评分:9.17 ---【📝服务详情】--- 【过程描述】:出差之前想好好爽一次,想起了景慧老师,之前找过她一次,对她高颜值印象非常深刻,想二刷了,立马约上,遥控上楼。一进门人照一致,颜值天花板,眉目清润,眼波轻轻一转就带着灵气,容貌亮眼,自带动人的氛围感,果断付了水费。老师主动陪浴,打上沐浴露把我鸡儿清洗干净,我擦干身体,老师已准备好漱口水了,两个人用完漱口水。老师带我到床上,先开始舔胸,我看到老师精致的五官,我主动要求舌吻,跟老师舌吻起来,舌了个饱。然后来到口活环节,老师的口活非常厉害,一点齿感没有,会来回的舔龟头,舔了一会鸡儿梆硬了,我叫老师戴套…

13 Nov 2026, 18:37 UTC67 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-13 老师:#粥粥 留名:陈李 ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9.5 舒适度:9.5 整场综合评分:9.17 ---【📝服务详情】--- 【过程描述】:很早就加了粥粥老师的频道但直到今天才来探访,进门一见老师就颇惊艳,老师颜值身材和频道内的视频和照片几乎一模一样,瑜伽裤下的长腿显得非常性感诱人。 粥粥给人的感觉就是如沐春风,就像是和熟识的情人般陪伴相处,抚摸和喘息都令人感觉性感中带着温柔亲切,这点是我最喜欢的。 清洗擦干之后上床,之后很自然地过渡到口,老师口技很棒,是一种很柔和的刺激,很舒服。 之后先女上,粥粥进行得温柔又深入,还会变换多种角度和深度,配合好几种磨、蹭和抽插的方法,很舒服很享受。 女上直到粥粥累了才停,然后就是传教士体位看着老师愉快输出,看下体、看…

13 Nov 2026, 18:35 UTC63 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-13 老师:#小茹 留名:Kudryavka ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9 整场综合评分:9.17 ---【📝服务详情】--- 【过程描述】:看的小茹老师回归 晚上想起给她发信息看有没有空没想到秒回 那我直接出发 开车1个半小时到达 直接上楼 开门进去的那一刻 看到小茹老师一席黑色长裙 我想这次真的没有白来 真的很漂亮 小茹老师问我冷不冷 我说不冷 直接洗澡 洗完澡让老师给我口 小茹老师的小舌头真的很舒服 口完直接后人我看着小茹老师那个样子真的没有耐心再让他一直这么吃下去了 直接带开使干 我干我干 小茹老师太紧了 夹的我都有点疼 还是那么紧 在123中出来了 【优点】:嫩妹三件套 【建议/缺点】:无 【个人评价总结】:力荐 ❤️ 硬…

13 Nov 2026, 18:34 UTC58 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-13 老师:#夏夏 留名:淦yeye ---【👙整体形象】--- 人照差别:8.9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.23 ---【📝服务详情】--- 【过程描述】:电报联系的,姑苏区3号地铁新郭站附近,指引上楼。老师会在门口迎接你,高挑的身材,性感的情趣内衣,满屋子都是淡淡的香味。老师稍微有点丰满,是我喜欢的类型。房间干净利索,两室一厅,拖鞋有好几双,客人估计换着穿的。我洗洗干净爬在主卧的床上,老师先简单进行按摩,唠唠家常,本来还有点紧张,聊着也就放松下来,只想感受此刻的放松与暧昧。接着就是b面全身的鼻滑,指滑,过水,毒龙,每一样都做了好几遍。b面最后一个流程是老师会钻到档下口,这个特别舒服,满满的征服感。做完这些都已经过了半个小时了,才开始做正面,老师会重点照…

13 Nov 2026, 18:32 UTC56 viewsread 13 November 2026
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苏州硬了么报告模板: 优质报告🎖 ---【💕基础信息】--- 时间:2026-11-13 老师:#王豆豆 留名:Alan ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:王豆豆最近换了课室,趁着今天空档过来包时,新课室虽然没有之前的一线湖景,但是胜在装修风格现代,空调也比之前的给力,冬天十分舒适。一梯一户,呼梯上楼,安全性依旧有保障。 开门拥入怀中,豆豆眼睛笑成弯弯月牙,还是那么好看,刚想再抱着仔细瞅瞅,已经被豆豆扑倒在沙发上,很快扒光,几番挑逗,很快难以压制心中邪火,给豆豆公主抱起直奔卧室。 新课室没有浴缸选择,回归淋浴,洗手台上乳交挑逗之后豆豆给细心清洗,水中箫之后先去挑选衣服,最近几件新衣服很精彩,空姐制服、淡黄长裙都很有感觉,最惊艳的还是那件旗袍,完…

13 Nov 2026, 18:31 UTC56 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-13 老师:#粥粥 留名:msnono ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9 舒适度:9 整场综合评分:9 ---【📝服务详情】--- 【过程描述】:确实难约,约了好久,开课才约上,地方好找,上来就是艳舞💃,水多屁股大胸也大🍑,衣服很多,从床上到镜子前再到窗前,但是形状太大(不是我骄傲)了,老师受不了,最后手出👋。 【优点】:胸推,艳舞 【建议/缺点】:无 【个人评价总结】:力荐,艳舞跟一线天是特色 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang

13 Nov 2026, 18:27 UTC63 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-13 老师:#漾漾 留名:步驚雲雲無常 ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9 舒适度:9 整场综合评分:9 ---【📝服务详情】--- 【过程描述】:又是一个愉快的周末,因为我的心尖尖漾漾开课了,虽然手指还没好,有点心疼😭,果然预约双飞,这已经是第三次双飞和漾漾与另一位心佳佳淼淼@cc20021cc确认好时间后等待cj,虽说周一刚cj过淼淼,但漾漾开课实在忍不住,给2位心尖尖买了黑色纯欲连裤袜和黑色开档丝袜,下班驱车前往还是老地方,到了给淼淼发信息,说等下要化妆,其实我觉得化不化妆都一样还是那么美,进门后淼淼穿件黑色卫衣配上两条大长腿太酷太诱人,坐在沙发聊天漾漾来后先关心她的伤势还没完全好😭,说抱歉不能陪浴,我是理解的,淼淼洗的很细心,洗完我自己擦干,漾淼说太客气了,…

13 Nov 2026, 18:18 UTC67 viewsread 13 November 2026

苏州硬了么报告模板: 💪🏻拔得头筹 ---【💕基础信息】--- 时间:2026-11-13 老师:#阿念 留名:kele ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:8.8 ---【👧🏻服务质量】--- 服务水平:8.8 配合态度:8.8 舒适度:9 整场综合评分:8.9 ---【📝服务详情】--- 【过程描述】:位置新区了,有点偏,正好去附近。 妹妹人照基本一致,是素颜就一致,基本不化妆,可爱型,比照片好看。 年纪不大,穿着睡衣戴着黑框眼镜。胸有点小,身材高挑,大概170。 服务就是三件套,后入有肉感,还行。 【优点】:素颜,170大长腿 【建议/缺点】:素颜,戴眼镜,有感觉 【个人评价总结】:素颜美女,喜欢素颜的冲 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang

13 Nov 2026, 18:11 UTC67 viewsread 13 November 2026
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苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-13 老师:#贝贝 留名:司司 ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:又在家附近找到以为LS,约上遥控上楼,进门给足情绪价值,LS身材娇小,较瘦,屁股很有弹性。B,奶子不是特别大,但手感不错。 陪浴,舔咪咪,水中萧,擦身,帮擦脚,帝王般享受。 会有床前跪式萧,很舒服。 先做B面,会帮忙按摩,侧式69,毒龙,深喉,技术很棒,A面,长时间暴力深喉,很容易被秒。 接着反面女生,女生功夫很强,接着出货,整体过程情绪价值拉满,很会聊天。 【优点】:口活好,服务好 【建议/缺点】:暂无 【个人评价总结】:推荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Pow…

Showing the 12 most recent of 2,040 posts we hold for @SZZZJreport. 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.

Posts edited after publishing

@SZZZJreport edited 8 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
1 October 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @SZZZJreport as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
19 August 2026
Most recent seen missing
22 August 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
0

Forward network

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.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“硬了么参考报告” (@SZZZJreport), 25,373 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/SZZZJreport.

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.