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Channel

【51茶馆】高端模特学生

@gfzp51

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

926subscribers

-2 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1001107238415
TypeChannel
Username@gfzp51
CreatedBetween 1 February 2017 and 31 March 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/gfzp51

Growth

926929927.58 August 2026 — 928 subscribers8 August 2026 — 929 subscribers14 August 2026 — 926 subscribers8 August 202614 August 2026
3 measurements spanning 7 days, net -2. 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 926–929 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:33926-3
8 Aug 2026, 08:17929+1
8 Aug 2026, 02:15928first reading

Engagement

4 posts held, back to 8 August 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
0.108%
avg views ÷ 926 subscribers
Avg views / post
1.0
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 4 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 8 August 2026
Posts held4 (8 August 20268 August 2026)
Views total4
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:15 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
40s
Average length
10s

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.

Recent posts

8 Aug 2026, 02:14 UTC1 viewsread 8 August 2026
Photo

🌷 编号:0025987(👉点击复制) 💡💡 查看验证视频 💡💡 编号A015 省份:四川省 城市:攀枝花 年龄:18 身高:158 体重:100(正在减) 罩杯:B 雪历:高中 职业:学生 是否是chu女:否 可不可以口:不 能不能内射;能 能不能无套:尽量带 能不能SM:不能 能不能外省:能 有没有纹身:没有 是否可以过夜:不 可不可以同居:不可以 月可陪伴天数:月陪8天,短期3天 大概姨妈日期:大概月初和月末 找金主的原因:学传媒报机构要钱 月生活费多少:1w,短期3/5k 分几次给生活费:2次 自我介绍加分项:撒娇,在校生,可甜,萝莉 对老板雷点: 口臭不礼貌扎胡子 介绍费7888 橙子 💎联系客服,免费送会员! ❤️首单六折,💓动五折 🔰担保押金300万,售后保障 ☎️联系客服: @guanfangkefu51 💐用真诚和专业回报您的信任

8 Aug 2026, 02:12 UTC1 viewsread 8 August 2026
Photo

🌷 编号:0025986(👉点击复制) 💡💡 查看验证视频 💡💡 编号A013 省份:浙江 城市:杭州上城区 年龄:19 身高:161 体重:102 罩杯:B 雪历:高中 职业:无 是否是chu女:否 可不可以口:可以 能不能内射;不能 能不能无套:不能 能不能SM:轻微可以 能不能外省:不能 有没有纹身:没有 是否可以过夜:否 可不可以同居:不可以 月可陪伴天数:3天 大概姨妈日期:月初 找金主的原因:缺钱 月生活费多少:1w 分几次给生活费:三次 自我介绍加分项:屁股大 骚 对老板雷点:没有礼 介绍费7888 橙子 💎联系客服,免费送会员! ❤️首单六折,💓动五折 🔰担保押金300万,售后保障 ☎️联系客服: @guanfangkefu51 💐用真诚和专业回报您的信任

8 Aug 2026, 02:11 UTC1 viewsread 8 August 2026
Photo

🌷 编号:0025985(👉点击复制) 💡💡 查看验证视频 💡💡 编号A014 省份:安徽 城市:合肥 年龄:19 身高:170 体重:110 罩杯:c 雪历:本科 职业:学生 是否是chu女:否 可不可以口:🉑 能不能内射;要有体检报告 能不能无套:同上 能不能SM:能 能不能外省:能 有没有纹身:有 是否可以过夜:可 可不可以同居:可 月可陪伴天数:3-5 大概姨妈日期:月末 找金主的原因:缺钱 月生活费多少:8k--1.5w 分几次给生活费:两次 自我介绍加分项:性格好不该问的不问比较open 对老板雷点:不能肛交过分的sm不接受 介绍费7888 橙子 💎联系客服,免费送会员! ❤️首单六折,💓动五折 🔰担保押金300万,售后保障 ☎️联系客服: @guanfangkefu51 💐用真诚和专业回报您的信任

8 Aug 2026, 02:08 UTC1 viewsread 8 August 2026
Photo

🌷 编号:0025984(👉点击复制) 💡💡 查看验证视频 💡💡 编号:A011 省份:江苏 城市:无锡 年龄:04 身高:161 体重:110 罩杯:c 雪历:本科音乐 职业:大四 是否是chu女:否 可不可以口:不 能不能内射;不 能不能无套:可以 能不能SM:不 能不能外省:不 有没有纹身:无 是否可以过夜:可 可不可以同居:可以,必须合适的 月可陪伴天数:4,短期3/6K 大概姨妈日期:15 找金主的原因:钱 月生活费多少:1w 分几次给生活费:2.3次 自我介绍加分项:古筝,情商,性格 对老板雷点:爱干净,别大男子主义 介绍费7888 橙子 💎联系客服,免费送会员! ❤️首单六折,💓动五折 🔰担保押金300万,售后保障 ☎️联系客服: @guanfangkefu51 💐用真诚和专业回报您的信任

Showing the 4 most recent of 4 posts we hold for @gfzp51. 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 — 224,442 of 1,481,346entries 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.

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

“【51茶馆】高端模特学生” (@gfzp51), 926 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/gfzp51.

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.