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Channel

红中反馈报告档案

@hzhgbgda

2 usernames

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

8,264subscribers

+6,395 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003579997728
TypeChannel
Usernames@hzhgbgda @ice1000
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held47
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/hzhgbgda

Topic

Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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

9668,9124,9396 August 2026 — 1,869 subscribers7 August 2026 — 1,862 subscribers7 August 2026 — 1,862 subscribers10 August 2026 — 1,599 subscribers10 August 2026 — 1,600 subscribers12 August 2026 — 1,309 subscribers13 August 2026 — 1,280 subscribers16 August 2026 — 1,079 subscribers16 August 2026 — 1,044 subscribers19 August 2026 — 966 subscribers19 August 2026 — 966 subscribers26 August 2026 — 8,910 subscribers27 August 2026 — 8,912 subscribers29 August 2026 — 8,827 subscribers30 August 2026 — 8,775 subscribers1 September 2026 — 8,706 subscribers2 September 2026 — 8,694 subscribers5 September 2026 — 8,693 subscribers7 September 2026 — 8,691 subscribers10 September 2026 — 8,677 subscribers12 September 2026 — 8,664 subscribers14 September 2026 — 8,557 subscribers16 September 2026 — 8,491 subscribers19 September 2026 — 8,475 subscribers27 September 2026 — 7,098 subscribers29 September 2026 — 6,453 subscribers5 October 2026 — 5,019 subscribers6 October 2026 — 4,774 subscribers11 October 2026 — 3,974 subscribers12 October 2026 — 3,733 subscribers14 October 2026 — 3,517 subscribers15 October 2026 — 3,405 subscribers17 October 2026 — 3,027 subscribers18 October 2026 — 2,983 subscribers20 October 2026 — 2,789 subscribers21 October 2026 — 2,767 subscribers23 October 2026 — 2,434 subscribers24 October 2026 — 2,251 subscribers26 October 2026 — 1,962 subscribers27 October 2026 — 1,916 subscribers29 October 2026 — 1,818 subscribers30 October 2026 — 1,723 subscribers2 November 2026 — 7,167 subscribers2 November 2026 — 8,328 subscribers5 November 2026 — 8,312 subscribers6 November 2026 — 8,293 subscribers9 November 2026 — 8,264 subscribers8,2646 August 20269 November 2026
47 measurements spanning 94 days, net +6,395. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
9 Nov 2026, 03:378,264-29
6 Nov 2026, 00:598,293-19
5 Nov 2026, 13:568,312-16
2 Nov 2026, 14:158,328+1,161
2 Nov 2026, 06:107,167+5,444
30 Oct 2026, 10:361,723-95
29 Oct 2026, 21:261,818-98
27 Oct 2026, 02:001,916-46
26 Oct 2026, 17:271,962-289
24 Oct 2026, 08:552,251-183
23 Oct 2026, 17:102,434-333
21 Oct 2026, 02:202,767-22
20 Oct 2026, 11:062,789-194
18 Oct 2026, 10:362,983-44
17 Oct 2026, 21:163,027-378
15 Oct 2026, 20:453,405-112
14 Oct 2026, 12:563,517-216
12 Oct 2026, 22:593,733-241
11 Oct 2026, 09:373,974-800
6 Oct 2026, 15:214,774first reading

Engagement

56 posts held, back to 17 June 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 19 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.9%
avg views ÷ 8,264 subscribers
Avg views / post
1,310
16 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
16
of 56 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 October 2026
Posts held56 (17 June 2026 – 30 October 2026)
Views total20,976
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 00:43 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.

Reaction mix

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 4 of the 56 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 17 June 2026 to 30 October 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: 0 of 16 posts held from the last 30 days (0%) 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).

30 Oct 2026, 08:44 UTC644 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #福田 ⏰ 上课时间: 2026.10.29 ✅ 验证留名: YONG 👩‍🏫 老师花名: #沐婉 📞 联系方式: @fei02Z 🏠 教室位置: 福田区车公庙地铁附近 💰 上课花费: 1000 服务态度:10分 颜值身材:9分 推荐程度:10分 体验过程:遥控上楼,进门后看见老师身材苗条,目测应该有168身高,相貌与图片出入不大,人照比例大概打个9分,环境虽小但干净,总体满意就交了水费。 开始先洗澡,老师宽衣带入浴室,正面手涂沐浴露,背面用胸涂,撸管式涂小弟,撸得蛮舒服,有点小硬了。这时老师冲走泡沫,伸出舌头挑逗龟头,舌头铿锵有力,在马眼处画圈上下挑拨,还抬头四目相望,接着含入口中来回吸侍,感觉很好,我都双手扶墙感慨这口功了得。 浴后上床,老师穿上给我选的迷你护士服,高挑的身段配合短小的迷你服,这制服诱惑展现淋漓尽致,随后开始…

26 Oct 2026, 07:56 UTC986 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #宝安(示例) ⏰ 上课时间: 10月25日 ✅ 验证留名: 匿名 👩‍🏫 老师花名: 宝安小鱼 📞 联系方式: @xiaoyu1085878956 🏠 教室位置: 宝安区坪洲地铁附近 💰 上课花费: 600p 服务态度:10分 颜值身材:10分 推荐程度:10分 体验过程:进门看到真人果然是又嫩又可爱凸凹有致我喜欢,非常的热情,先聊了一会,聊的非常开心,交了水费,一起共浴,老师脱了衣服就已经硬了,三点粉嫩,有学校妹的气质,洗完躺床上老师开始服务调情,舔的我很爽,老师水好多,呻吟特别诱人,欲火难耐,马上带上雨伞,进行深入交流,真的紧致,感觉快要顶不住了,换了个后入势,妹妹非常配合,颤抖着身体,撞击的感觉超级美妙,后面没出来,换了两个姿势,在两个人的默契配合下终于出水。下次还会来。太喜欢了🐻也好大。摸着很舒服 提交报告: @Gphzzsbot 注:提交报告…

22 Oct 2026, 06:23 UTC≈1,060 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #龙华 ⏰ 上课时间: 10/21 ✅ 验证留名: dd 👩‍🏫 老师花名: 欣欣 📞 联系方式: @shanmeinu 🏠 教室位置: 龙华清湖 💰 上课花费: 500p 服务态度:10分 颜值身材:10分 推荐程度:10分 体验过程:位置很好找,小区房无需登记,安全,进门一看,跟照片没啥差别,本人更生动,很热情奶子很大,然后来到浴室,温柔的为我清洗全身,我抚摸她的奶子,很挺很软有弹性,然后又帮我口,让我很上头。后面转战到床上,叫老师换上黑丝,开始帮我舔咪咪帮我口下面舔蛋,老师弄的很舒服,感觉快受不了了,赶快叫老师上来开始激情啪啪。老师下面跟紧做的时候还用熊蹭我边骑边舔我的咪咪,上头,我就抱着老师向上顶,很紧!后面叫老师躺下我来输出,一边做一边舔老师的胸很有感觉,经过两个人的配合终于完成啦,性价比超高,必返! 提交报告: @Gphzzsbot 注:提交报…

20 Oct 2026, 14:35 UTC≈1,750 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #南山 ⏰ 上课时间: 10/20 ✅ 验证留名: heiqiao 👩‍🏫 老师花名: 薇薇 📞 联系方式: @vivi02168 🏠 教室位置: 南山区南山地铁附近 💰 上课花费: 800p 服务态度:10分 颜值身材:10分 推荐程度:10分 体验过程:薇薇是清澈可爱型,身材刚刚好,不胖也不瘦,皮肤白皙滑嫩,小脚丫也很好看,胸型也好看,嘴唇粉粉的,眼神很勾人,两人一起洗了一下,擦干就到床上,先抱抱,接着躺下让薇薇口,不敷衍,吃的很认真,湿湿的暖暖的,接着让薇薇躺下,给她亲完上面吃下面,不过我不太会,也不知道薇薇舒不舒服,然后带上tt后,跨坐上来,又改为后入,再是薇薇躺下,下面也是很紧,包裹感很强,要不是平时健身,估计很快就投降了,后面一顿冲刺后也是坚持不住了,有女友感,强烈推荐 提交报告: @Gphzzsbot 注:提交报告需要附带约课记录截图或付款证…

20 Oct 2026, 14:34 UTC≈2,910 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #罗湖 ⏰ 上课时间: 2026年10月18日 ✅ 验证留名: 顾南星 👩‍🏫 老师花名: 罗湖林娃娃 📞 联系方式: @WW004110 🏠 教室位置: 罗湖区水贝地铁附近 💰 上课花费: 800 服务态度:10分 颜值身材:9.5分 推荐程度:9.8分 体验过程: 【交通环境】课室毗邻水贝地铁站D2出口附近,有室外停车场,停车方便。高档公寓,公寓环境比较新,课室楼下无门禁,有电梯,进出方便,地方好找,遥控上楼,整体挺方便。 【想当爸爸就找林娃娃!】 课室是一间loft,装修很新,课室也很干净,很舒服。进门后,林娃娃在房内等候多时。主动上前嘘寒问暖。林娃娃的身材凹凸有致,不算胖,但肉感十足,有种在读大学生的清纯感。大眼睛,娃娃脸,感觉20岁上下,胶原蛋白十足。交了水费之后,便脱衣洗澡。娃娃的皮肤很好,涂着沐浴露的双乳在我面前摇晃,无意间的转身,二弟在她的翘…

20 Oct 2026, 09:54 UTC964 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #南山 ⏰ 上课时间: 2026.10.19 ✅ 验证留名:匿名 👩‍🏫 老师花名: 梦瑶 📞 联系方式: @mengyao9999 🏠 教室位置: 南山区荔林地铁附近 💰 上课花费: 1500p 服务态度:9分 颜值身材:10分 推荐程度:10分 体验过程:先是一起洗澡,小姐姐眼神真的温柔,眼睛真的好看,看着我感觉柔情似水的眼神,氛围很好。之后擦干净躺床上调调情,然后就是口,不这样更兴奋了,然后戴套开始做,渐入佳境,可能是因为妹妹练瑜伽的原因,肉肉很紧实,女上和传教士姿势轮换了好几次,妹妹全程很配合,感觉真的和小女朋友一样,此处省略细节描写,最后传教士姿势出货。洗完澡和妹妹坐沙发上聊会天才意犹未尽的走了。 提交报告: @Gphzzsbot 注:提交报告需要附带约课记录截图或付款证明 声明: 个人真实体验,仅供参考!

20 Oct 2026, 05:23 UTC951 viewsread 9 November 2026
Photo

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #福田(示例) ⏰ 上课时间: 10.10 ✅ 验证留名: 村里1 👩‍🏫 老师花名: 佳怡 📞 联系方式: @jyhk96 🏠 教室位置: 南山区 💰 上课花费: 2600pp 服务态度:10分 颜值身材:10分 推荐程度:10分 体验过程:老师人很漂亮,笑起来更显得温柔,胸又大又软,抓起来很舒服。交完水费后耐心的帮忙洗澡,我也不停的上下齐手摸来摸去。第一发被秒了之后休息了一会儿第二发,这次很久,换了几个姿势,女上的时候一边做老师会一边亲吻我的乳头,脖子,耳朵,爽到飞起。整个过程像是和女友耳鬓厮磨一般,体验绝佳。(可根据实际情况填写) 提交报告: @Gphzzsbot 注:提交报告需要附带约课记录截图或付款证明 声明: 个人真实体验,仅供参考!

20 Oct 2026, 05:20 UTC948 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #南山 ⏰ 上课时间: 2026.10.19 ✅ 验证留名:匿名 👩‍🏫 老师花名: 半夏 📞 联系方式: @banxia00000 🏠 教室位置: 南山区 💰 上课花费: 1400p 服务态度:9分 颜值身材:10分 推荐程度:10分 体验过程:老师人很漂亮,笑起来更显得温柔,胸又大又软,抓起来很舒服。交完水费后耐心的帮忙洗澡,我也不停的上下齐手摸来摸去。第一发被秒了之后休息了一会儿第二发,这次很久,换了几个姿势,女上的时候一边做老师会一边亲吻我的乳头,脖子,耳朵,爽到飞起。整个过程像是和女友耳鬓厮磨一般,体验绝佳。 提交报告: @Gphzzsbot 注:提交报告需要附带约课记录截图或付款证明 声明: 个人真实体验,仅供参考!

18 Oct 2026, 13:42 UTC≈2,350 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #福田 ⏰ 上课时间: 10月18日 ✅ 验证留名: 林十七 👩‍🏫 老师花名: 福田七七 📞 联系方式: @qiqijknen 🏠 教室位置: 车公庙地铁附近 💰 上课花费: 600 服务态度:9 颜值身材:10 推荐程度:9 体验过程: 特别嫩,和照片一模一样。老师很认真,还带着眼妆,年纪看着很小,脸蛋嫩的出水。 老师很热情,洗澡后,老师主动服务,一看就是经验不是很多,无论是用手还是用嘴,很不熟练,但是态度很好。这就是嫩妹,经验不多,喜欢开发的可以多去去。 老师颜值很高,有花臂,气质很反差。脸蛋很可爱,实际却有一点精神小妹。老师出水很快,揉揉豆豆一会就湿了,但全身都很嫩,都不让用力。 下面算比较精致,老师的动作也不熟练,基本女上全靠我自己动。而且老师很害羞,不敢放开叫,可以亲亲脸,不让舌吻, 整体很满意,人特别嫩,嫩也就带来服务比较普通,但是人照一致,喜…

17 Oct 2026, 01:14 UTC976 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #福田(示例) ⏰ 上课时间: 10-16 ✅ 验证留名: 军越 👩‍🏫 老师花名: 宝安南汐 📞 联系方式: 微信 Ayl-688 qq 3458633205 与你 yunxiya88 ✈️@nanxiya688 🏠 教室位置: 宝田一路地铁附近 💰 上课花费: 11pp 服务态度:百分百 颜值身材:8.8 微胖身材 推荐程度:8.8 体验过程:第一次找南汐老师上晚课,下班太晚了,提前给了定金。地方很好找。到了之后,她帮我按了电梯,见面又递来一瓶矿泉水,几句闲聊就让我放松了不少。 她本人比照片更好看,穿着黑色贴身睡衣,气质成熟,声音却轻快甜软,反差挺大。听说我晚上还没吃饭,她又给我煮了两个鸡蛋。我一边吃,一边跟她聊天,感觉她很随和,偶尔还有点迷糊,挺可爱的。 吃完东西,我先去洗漱。出来时,她已经换上了红色睡裙。我们靠在一起腻歪了一会儿,刚见面时的拘谨…

15 Oct 2026, 10:56 UTC≈1,500 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #南山 ⏰ 上课时间: 2026.10.14 ✅ 验证留名:匿名 👩‍🏫 老师花名: 梦瑶 📞 联系方式: @mengyao9999 🏠 教室位置: 南山区荔林地铁附近 💰 上课花费: 1500p 服务态度:9分 颜值身材:10分 推荐程度:10分 体验过程:老师的胸型堪称完美,讲话温柔,轻声细语 身体皮肤嫩滑,紧致。口活天花板,差点被秒,温柔带上套子,女上紧致的包裹感让我一下子感觉到女友的味道,换了男上女下,叫床的声音轻轻哼出,动感的律动刺激着高潮的到来,高速冲刺,一泻千里。这性价比妥妥的满足,喜欢美胸的不要错过,兄弟们冲就是了。 提交报告: @Gphzzsbot 注:提交报告需要附带约课记录截图或付款证明 声明: 个人真实体验,仅供参考!

15 Oct 2026, 10:56 UTC977 viewsread 9 November 2026

高牌红中报告模板 t.me/szgpfz 📍 城市坐标: #深圳 #南山 ⏰ 上课时间: 2026.10.14 ✅ 验证留名:匿名 👩‍🏫 老师花名: 半夏 📞 联系方式: @banxia00000 🏠 教室位置: 南山区 💰 上课花费: 1400p 服务态度:9分 颜值身材:10分 推荐程度:10分 体验过程:tg上偶然刷到的妹子,出乎意料是个宝藏女孩,只见妹妹眉目如画楚楚动人,目测年芳龄在25岁上下,本人给人感觉就是一个字嫩。是个御姐型哦 服务主动性格温柔配合,可谓是体贴入微使人心醉。妹妹口活一级棒。正戏内容就不多说了,总之试过一次你就知道什么叫做名器。做完之后妹妹躺在身边跟我聊天,偶尔一笑的表情使我回忆起了女友的感觉。稍作修整后再战几番,事后满意而归。 提交报告: @Gphzzsbot 注:提交报告需要附带约课记录截图或付款证明 声明: 个人真实体验,仅供参考!

Showing the 12 most recent of 56 posts we hold for @hzhgbgda. 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.

Mentions

Named by 35 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.

Names

Channels on the register whose handles appear in this channel's posts.

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

“红中反馈报告档案” (@hzhgbgda), 8,264 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/hzhgbgda.

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.