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Channel

穗养老院

@GZOGlist

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

4,118subscribers

+1 since we began measuring on 13 August 2026

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

Register entry

Telegram ID-1002836071822
TypeChannel
Username@GZOGlist
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/GZOGlist

Growth

4,1174,1184,117.513 August 2026 — 4,117 subscribers13 August 2026 — 4,117 subscribers16 August 2026 — 4,118 subscribers13 August 202616 August 2026
3 measurements spanning 3 days, net +1. 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 4,117–4,118 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 21:474,118+1
13 Aug 2026, 11:484,117no change
13 Aug 2026, 11:334,117first reading

Engagement

20 posts held, back to 23 June 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.4%
avg views ÷ 4,118 subscribers
Avg views / post
1,090
5 posts measured
Reaction rate
0.095%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 3 of 5 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 12 August 2026
Posts held20 (23 June 202612 August 2026)
Views total5,430
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 11:33 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

32 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 65.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2165.6%
💩618.8%
👍412.5%
👎13.13%

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 17 of the 20 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 32reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 June 2026 to 12 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

12 Aug 2026, 12:45 UTC296 viewsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第727号文件 【老师艺名】涵涵 【所在位置】天河 【狼友留名】 【修车费用】700p14pp 【推荐理由】161cm,95斤左右的D胸嫩妹,xcz➕🐍,情绪价值一般,喜欢大奶嫩的,可以冲!年龄17-22之间河南妹。 总结:嫩,大奶。 报告提交:@NotOldMan_bot

10 Aug 2026, 17:07 UTC≈1,010 views1 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第726号文件 【老师艺名】星星 【所在位置】天河 【狼友留名】图图 【修车费用】1288 【推荐理由】身材好,聊得来,胸大 今天三十六度,路上蒸汽的热浪把视线都烤弯了,我站在了她家门口,T恤贴在身上,像第二层皮肤,门开的时候,一股凉气涌出来,夹着一沐浴露的涩香 你来啦凌赫,快进来,外面快化了。 她侧着头,一件宽松的白色衣服,房间里空调开的很足,阳光从窗帘的夹缝中漏了一点进来,桌上有两杯咖啡,杯壁上有微微的水珠,旁边是一整盒切好的水果,西瓜 水蜜桃,还有葡萄。叉子摆成两副,塑料的,握在手里很轻。 给你买的,知道你心情不好,哄哄你。 你喝一口,苦味先曼上来,我把杯底的糖浆搅拌,甜味慢慢涌了上来,她看着我笑,不是那种社交的笑,是真的觉得我好玩。 你最近太紧了,绷的像一根弦,该松一松,她没问我发生了什么,她只是把西瓜拿过来,就看着你吃,甜吗?甜 后来我们靠

1

7 Aug 2026, 06:36 UTC904 viewsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第725号文件 【老师艺名】泡泡 【所在位置】天河 【狼友留名】图图 【修车费用】1288 【推荐理由】胸大 屁股大 应该是天然的 身材:C-D左右的胸,黄皮,有纹身,屁股很大,皮肤好像一般,人照8.5以上 服务:xcz 口技挺好的 无限深喉 有情趣内衣 情绪价值:E人 很多话说,大家应该喜欢 缺点:她好像不敢把灯开的很亮,但是具体我也没看清 总结:还行 报告提交:@NotOldMan_bot 🔊 来自 图图(休息版) 的投稿

30 Jul 2026, 08:55 UTC≈1,590 views1 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第724号文件 【老师艺名】恩琪 【所在位置】天河忘了哪里了 【狼友留名】ZZ 【修车费用】pp 【推荐理由】人照一致,人好看,服务到位,第一p把我秒了。没好好停车,结果第二p刚出货收到要拖车短信,赶紧提起裤子跑路。都没好好和老师温存一下,万幸车没被偷走,会返想返 总结: 报告提交:@NotOldMan_bot 🔊 来自 z z 的投稿

1

29 Jul 2026, 09:07 UTC≈1,630 views2 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第723号文件 【老师艺名】小小 【所在位置】天河 【狼友留名】云霄 【修车费用】1000p 【推荐理由】长相:人照七分像,真人的脸更圆一些,淡妆 身材:c胸真胸,但不够饱满。身上有少量纹身但是不大,长腿,纤细型号 细节:口活非常棒,做爱很投入,尤其是在耳边喘息和舌吻时候的感觉都很有感觉,顶到深处时候身体反应真实,会夹。 总结: 报告提交:@NotOldMan_bot 🔊 来自 云霄 的投稿

2

18 Jul 2026, 07:16 UTC≈3,750 views3 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第722号文件 【老师艺名】可悠 【所在位置】天河 【狼友留名】Tyson 【修车费用】包时3小时 【推荐理由】人照9.5,几乎人照一致,态度9.5,身材8,洗完澡可悠说想我了想闻闻我洗完澡的香味,打车过去搞搞阵,可悠最近买了新装备说给我个惊喜,我也有给可悠带了礼物,换上新装备很顶,聊了一会,进去鸳鸯浴,我喜欢反方向的钟,随后贴心擦洗进入正戏,由于刚刚下海的老师,很多服务还比较青涩,Tyson小小调教一波,没一会就有反应,戴套上阵,下体温热紧致,内部洞内褶皱包裹着小Tyson(爽,具体内容省略一万字),各类爱爱姿势不断教导可悠,进行深层次高质量内部交流,保证高质高量完成一次人类的探索,每次出水我的大腿根部都给可悠的小水b浸湿,结束后抱着进行休息聊天。(按照该模板就行,第xx号文件等行会自动生成,无需自行添加) 总结: 报告提交:@NotOldMan

3

17 Jul 2026, 07:55 UTC≈1,880 views7 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第721号文件 【老师艺名】可悠 【所在位置】天河 【狼友留名】云霄@yxklxy 【修车费用】1200 【推荐理由】颜值:人照8分,青春洋溢 身材:比例不错 情绪价值:非常好 小结: 扣分项:小b熊,肤色不是奶白,床上勾引功夫需要再历练,总体来说挺好,不属于认为原因 优点:情绪价值很好,青春洋溢,真的找回了年轻时的感觉,爱爱配合,水是真多… 小作文:算是改版以来的第一篇小作文吧。进入暑假开始忙成狗的阶段,每天压力山大忙完已经深夜,再看看广州今年的老师,哎惨不忍睹(以后单独篇幅)。言归正传,刚好今天处理事情快,可以早点去浪,就心痒痒了,正好看到新进来的可悠在群里聊天,就想着逗一逗,结果逗了几句发现小姑娘挺有意思,就简单教了点东西,然后顺手约了课,毕竟很久没见过嫩妹了,改善下伙食。来到熟悉的地方,正常上楼,听到蹦跳过来的开门声,猜测到又是一个开心的

7

15 Jul 2026, 07:46 UTC≈1,660 views6 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第720号文件 【老师艺名】晴子 【所在位置】天河 【狼友留名】不知名的院长 【修车费用】12pp(拿了优惠200元)老实人🥰 【推荐理由】年轻吧,嫩吧爽吧😋,皮肤就稍微差一点点,妆容可以大E人,扑街做爱pp带一个套仲要点外卖砍死! 总结:嫩,E人,皮肤就稍微差一点 报告提交:@NotOldMan_bot 🔊 来自 小鸡吧123 (TG第一好人) 的投稿

💩6

13 Jul 2026, 15:18 UTC≈1,860 views1 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第719号文件 【老师艺名】佳佳 【所在位置】天河 【狼友留名】kobe 【修车费用】p 【推荐理由】最初的相识来自群里的语音,甜甜腻腻的有说不出的味道。临时约课,佳佳也留了一个位置。科室交通方便,无登记。一边看hle打blg一边遥控上楼,还不小心走错了。 频道看着御姐风,实际真人偏向较小甜妹。身材很好,🐻c,贴乳贴,有科技,没有小肚子,屁屁肉感很好。脸蛋和身材不小反差。教室不大,但很有居家氛围,明亮宽敞。情绪价值方面很不错会各种甜腻满足我的虚荣心。 有陪洗,会用🐻开会蹭身子,有水中萧,还贴心的问有没有被牙齿碰到。洗完澡帮忙擦干,进入房间换好制服,顿时多了一股荷尔蒙的气息。先是一边kiss一边上下其手,然后她对着二弟发起进攻。口技和手法都很了得。随后披甲上阵,佳佳对准早已坚硬的二弟跨坐下去,传来一阵温热,紧致的包裹感,最后开始狂野的运动。中间换了几个

1

13 Jul 2026, 11:37 UTC≈1,810 views2 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第718号文件 【老师艺名】佳佳爱睡觉 【所在位置】广州潭村 【验证留名】阿士匹灵 【修车费用】4500PP-500优惠卷 【推荐理由】小巧甜御型,身材比例很好,课表该有都有不偷懒,肉感很好、屁股很Q弹,服务很不错,情绪价值拉满,胸有点科技 私聊约好时间,快进到约好当天遥控上楼,进门佳佳穿着白色居家服过来迎接,但丝毫遮不住她那婀娜多姿的身材,我们做在沙发上吃着水果分享着各自最近的趣事,小手不自觉的往老师胸放了过去,憋不住进浴室老师擦满沐浴露两个人疯狂摩擦!老师蹲下来口得整个人都酥麻了,出去擦干老师让我自己挑喜欢的衣服,刚好电话来了出去接了下,佳佳一会也跟着出来在我面前蹲下了下来,一边看着我一边玩弄着小弟,随后顺势拉我到沙发上继续玩弄一会后给我带上套套,女上起手,慢慢的一上一下,我一边回复着电话一边慢慢迎合佳佳的攻势,最终被佳佳妹妹打败,恍惚

2

12 Jul 2026, 09:48 UTC≈3,290 views0 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第717号文件 【老师艺名】信子 【所在位置】天河 【狼友留名】不愿透露姓名的123 【修车费用】16p 【推荐理由】御姐型,一切的一切都是那么循序渐进。熟悉的地点,昏暗的房间,小只的她穿着凸显身材的制服,进门后房间内温馨的氛围,一切的一切都让人沉醉,在客厅闲聊,小手不是很听话的不断刺激,望向她的面庞,让人有些恍惚,这不是柳岩吗?气氛已到沐浴擦拭,猛烈的香吻迎面袭来,床上舔舐不久发觉湿润,事已至此女上猛攻,耳边的轻语不愧是破甲的好利器,不多时便以缴械。 总结:目不转睛的观察真的很像柳岩,制服的搭配完美展示傲人的身材。课表没写但是有🐍(被加菜了?),只是吃了吃🥛就湿润了这谁顶得住啊,总结可反 报告提交:@NotOldMan_bot

5 Jul 2026, 12:35 UTC≈2,180 views0 reactionsread 13 August 2026

养老院广州总院报告: https://t.me/GZOGlist 【报告】养老院第716号文件 【老师艺名】白兔 【所在位置】天河 【狼友留名】不愿透露姓名的123 【修车费用】pp 【推荐理由】被人刺激后实在忍不住了,在推荐下临时约了白兔,熟悉的地址,进门后白兔小小只的在门口迎接,身材简直了,细枝硕果,皮肤顺滑,天气闷热内心躁动速速洗香香,上床后白兔非常主动,昏暗的灯光下一切都是那么恰当好处,女上让那傲人的双峰一览无遗,换为传教士在猛攻下真材实料的双峰荡起阵阵波浪,不出10分钟速速出货,在客厅休息闲聊时意犹未尽在确定后面没客后果断改pp,依旧感觉强烈,第二次相对时间长点到依旧顺利出货。 总结:非常棒的体验,可反! 主观评价仅供参考🤓 报告提交:@NotOldMan_bot

Showing the 12 most recent of 20 posts we hold for @GZOGlist. 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 — 875,547 of 1,548,671entries 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“穗养老院” (@GZOGlist), 4,118 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/GZOGlist.

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.