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Channel

诗诗(女友味)

@Fhxd5

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

217subscribers

+210 since we began measuring on 12 October 2026

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

Register entry

Telegram ID-1004346346361
TypeChannel
Username@Fhxd5
Created12 October 2026 — measured — dated from the channel’s first post
First recorded12 October 2026
Last confirmed live14 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/Fhxd5

Growth

721711212 October 2026 — 7 subscribers12 October 2026 — 7 subscribers14 October 2026 — 217 subscribers12 October 202614 October 2026
3 measurements spanning 2 days, net +210. 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
Measured (UTC)SubscribersChange
14 Oct 2026, 06:08217+210
12 Oct 2026, 16:227no change
12 Oct 2026, 15:477first reading

Engagement

6 posts held, back to 12 October 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
10.9%
avg views ÷ 217 subscribers
Avg views / post
23.6
5 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
6
of 6 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 12 October 2026
Posts held6 (12 October 2026 – 12 October 2026)
Views total118
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 16:22 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

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.

Recent posts

12 Oct 2026, 15:58 UTC5 viewsread 12 October 2026
Photo

🎉 (广佛)天河诗诗半价+🧧 🎁 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 诗诗(女友味) • 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 • 2026-10-17 22:22:00 📜 抽奖说明 艺名: #诗诗 价格: #800p1500pp 地址: #天河 电报: # @Fgf5476 频道: # @Fhxd5 标签: #嫩妹 舌吻吻 大胸本活动由老师赞助,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 @caoamand_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,发现…

12 Oct 2026, 14:23 UTC27 viewsread 12 October 2026

请帮复制下面链接或转发到你们频道,同时也方便找报告模板 广州潮流群 https://t.me/GHKLROT 广州资源榜 https://t.me/miuort 广州报告模板 https://t.me/RTiiuct/1594

12 Oct 2026, 14:00 UTC21 viewsread 12 October 2026
Forwarded from @GZYL8866Photo

📊 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 🌸 花名 #诗诗 💰 价格 : 800-1500 #8/15 📢 频道:https://t.me/Fhxd5 📞 联系方式: @Fgf5476 📍 位置 #天河区 📝 服务内容 : #鸳鸯浴 #舌吻 #69 #制服诱惑 #角色扮演 #更多服务详见老师课表 🧷标签:#嫩妹 #C罩杯

12 Oct 2026, 13:57 UTC34 viewsread 12 October 2026

每月红包、半价/白嫖各种福利 广州修车协会 : t.me/GZ08866 广州娱乐总榜单: t.me/GZYL8866 上榜合作: @gzsbjqrbot

12 Oct 2026, 11:20 UTC31 viewsread 12 October 2026
Photo

生活中的不期而遇,都是你努力后的惊喜💪

Showing the 6 most recent of 6 posts we hold for @Fhxd5. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“诗诗(女友味)” (@Fhxd5), 217 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/Fhxd5.

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.