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Telegram profile photo for 汐汐的朋友圈

Channel

汐汐的朋友圈

@Fhftg584

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

1,099subscribers

+0 since we began measuring on 1 October 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004334343864
TypeChannel
Username@Fhftg584
Description双向机器人 @Fbxtybot 约课@Ggd3654
Created30 September 2026 — measured — dated from the channel’s first post
First recorded2 October 2026
Last confirmed live2 October 2026
Measurements held2
On Telegramt.me/Fhftg584

Growth

1,0991 Oct 2026, 23:47 — 1,099 subscribers2 Oct 2026, 00:22 — 1,099 subscribers1 Oct 2026, 23:472 Oct 2026, 00:22
2 measurements taken within a single day. 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 1,098–1,100 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Oct 2026, 00:221,099no change
1 Oct 2026, 23:471,099first reading

Engagement

13 posts held, back to 30 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.35%
avg views ÷ 1,099 subscribers
Avg views / post
80.8
9 posts measured
Reaction rate
0.526%
reactions ÷ views · ER floor
Posts in window
13
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 2 of 9 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 1 October 2026
Posts held13 (30 September 2026 – 1 October 2026)
Views total727
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 00:22 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
Videos
1
Links
7

Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
8s
Average length
8s

Measured directly from 1 video 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 30 September 2026 to 1 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

1 Oct 2026, 13:33 UTC65 viewsread 2 October 2026
Photo

🎰 汐汐口令红包优惠券,兑奖联系汐汐,兑奖有效期10天 @Ggd3654 📮 抽奖条件: 🎫 加入-广州查询总榜 🎫 加入-广州高价榜 🎫 加入-广州潮流推广群 🎫 加入-广州潮流一线 🎫 加入-广州资源榜 🎫 加入-广州紫瑶宫报告 🎫 加入-汐汐的朋友圈 🎁 奖品内容: 9.9口令红包 × 1 1p半价优惠券 × 1 💡 活动说明: 汐汐口令红包优惠券,兑奖联系汐汐,兑奖有效期10天 @Ggd3654 📅 开奖日期:(UTC+8) 2026年10月04日 21时32分15秒

30 Sept 2026, 14:13 UTC105 viewsread 2 October 2026
Forwarded from @tiyan0666

【时间】:2026-09-30 【老师】:汐汐 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:10 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.33 【过程】:一次非常难忘的出击,到了地方汐汐老师指导上楼,一进门很惊艳,比想象中的还要好看非常喜欢,然后交了水费聊了一会儿天。进房间老师让我躺下从上而下老师口起来无齿感,真的厉害,差一点就交了出去,最后还是忍住了,随后立马带套插进老师小穴里,包裹感紧水多,看来老师真的很享受性爱都流白浆了,抽插没几分钟交了第一次,然后去浴室冲洗了一下,然后在床上躺着一会,老师在旁边陪着,聊了一会家常,聊了一会各自的想法,然后老师就一直勾引我,又开始调情,老师直接蹲下来给我又口起来,真的太顶了,立马就硬了,马上让帮带上套运动起来了,真的好爽,然后后入式,最后也是没多久就出了第二次!!太累,虚脱了,过几天休息好必须食,真的非常喜欢的老师,爱笑,热情,服务也好,配合…

30 Sept 2026, 08:06 UTC87 viewsread 2 October 2026
Forwarded from @bioudefoPhoto

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 艺名: #汐汐 价格: #800p1500pp 地址: #天河 电报: # @Ggd3654 频道: # @Fhftg584 标签: #大胸 嫩妹 舌吻 ,

30 Sept 2026, 07:26 UTC115 views0 reactionsread 2 October 2026
Photo

🎉 (广佛)天河汐汐半价+🧧 🎁 奖品清单 • P半价优惠券(必写报告) × 1 • 🧧12.8 × 2 🛡️ 参与条件 • 加入 广佛线交流群(重生版) • 加入 汐汐的朋友圈 • 加入 曹魏备用群 • 需消耗圣晶石:3 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3圣晶石 • 祝福上限:99次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-10-04 13:33:00 📜 抽奖说明 艺名: #汐汐 价格: #800p1500pp 地址: #天河 电报: # @Ggd3654 频道: # @Fhftg584 标签: #大胸 嫩妹 舌吻 ,本活动由老师赞助,兑奖联系上方私信 1.所有中优惠劵有效期为7天,如遇到老师红休则14天内完成,老师不兑奖请联系管理员 @laoshijio_bot,该老师直接下榜。 2.所有抽奖优惠劵同时均可无偿转让,但必须征得老师的同意…

30 Sept 2026, 06:54 UTC81 viewsread 2 October 2026
Forwarded from @yzzxin666

广州紫瑶宫报告模板 https://t.me/miuort 【所在位置】天河 【老师艺名】汐汐 【联系方式】@Gdt568 【验证留名】小哥哥补塔 【验证时间】9.29 【上课价位】800 【颜值身材】颜值爆表,肤色白嫩,性感火辣 【服务内容】制服诱惑,课程表 【服务态度】非常满意 【优点缺点】可以挑选制服 【推荐程度】满分 【体验细节】看到新上榜的汐汐老师频道里的妖艳身段和美丽脸蛋,今天忍不住立刻出击。进门老师就是一个大大的拥抱,胸口的两团肉球紧紧贴在我的胸膛,让我的下面顿时耸立起来(ฅ◑ω◑ฅ)老师随后一顿大蟒蛇,也是把我伺候进了浴室。 浴室里的水中萧服务就已经初见端倪:老师的小嘴就好像肉便器一样主动邀请着我的鸡巴在嘴穴里进进出出,还时不时喘出满足的淫荡呻吟,真是一个合格的小母狗。口了一会老师没有要停的意思,我已经忍耐不住了,拍拍老师屁股,示意老师到房间里进入下一步。 到了床上,才发现老师除了是个舞蹈花瓶老师以外,竟然是一个…

30 Sept 2026, 06:23 UTC72 viewsread 2 October 2026
Photo

🎉 广州茶馆-汐汐现金红包 🎁 奖品清单 • 现金红包🧧18.8 × 2 🛡️ 参与条件 • 加入 广州茶馆 • 加入 广州茶馆甄选轮播群 • 加入 广州茶馆老师榜【备胎】 • 加入 广州茶馆-在榜老师(新榜) • 加入 汐汐的朋友圈 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:2圣晶石 • 祝福上限:1000次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-10-03 18:56:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金红包🧧和巨量圣晶石!!! ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

30 Sept 2026, 06:21 UTC75 views1 reactionsread 2 October 2026

【广州茶馆】:https://t.me/gzcg9 【时间】:2026-09-29 【老师】:汐汐 【账号】:@Gdt568 【留名】:匿名 【颜值】:在线美女 【身材】:高挑性感,🐻大腰细翘臀 【罩杯】:D 【服务】:主动配合,课表都有 【态度】:色情 【位置】:天河 【评分】:10 【过程】:汐汐老师比照片上的漂亮,教室在公寓,挺安全的(各位学员到教室后记得略微小声一点就行),环境的话正常单间公寓 老师服务课表上有的都会有,没有的也别强求(老师还是一个蛮有性格的女孩)。 过程:见面后老师第一个亮点是真人比照片好看,且身上没有什么风尘气,主动询问是否要喝水,交完课时费后会帮你冲洗,而后床上铺上新的垫子,然后开始第一通:给你口,口技属于温柔吞吐型,口舒服了就开始第二通:老师的穴紧致,因为是冲着老师的特色去的所以也没过度体会,最关键的第三通:这一通一定要跟着老师的节奏来,进去之后那个包裹感简直无与伦比,每抽插一下都感觉要顶不住了,…

👏1

Showing the 12 most recent of 13 posts we hold for @Fhftg584. 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.

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 2 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.

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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“汐汐的朋友圈” (@Fhftg584), 1,099 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/Fhftg584.

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.