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Channel

聖結石Saint

@shengjieshi

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

9subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002084900454
TypeChannel
Username@shengjieshi
Description商务联系: @chaoyuewenhua
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/shengjieshi

Growth

97 August 2026 — 9 subscribers12 August 2026 — 9 subscribers7 August 202612 August 2026
2 measurements spanning 5 days. 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 8–10 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 11:019no change
7 Aug 2026, 03:029first reading

Engagement

15 posts held, back to 14 September 2024the 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
11.1%
avg views ÷ 9 subscribers
Avg views / post
1.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 15 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 August 2026
Posts held15 (14 September 202412 August 2026)
Views total1
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 11:01 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
13
Videos
45
Links
7

Lifetime counters from Telegram’s own channel header, read 12 August 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
47m 18s
Average length
7m 53s

Measured directly from 6 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

12 Aug 2026, 04:02 UTC1 viewsread 12 August 2026
Photo

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23 May 2026, 04:02 UTC20 viewsread 12 August 2026
Photo

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16 May 2025, 14:17 UTC140 viewsread 12 August 2026
Photo

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10 Mar 2025, 12:40 UTC173 viewsread 12 August 2026
Photo

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14 Dec 2024, 04:49 UTC179 viewsread 12 August 2026
Photo

📌华语最佳社交媒体增长平台 — xpanel.plus 🎈打造全网最全面、最便宜的自助引流服务! 🎈海外媒体(telegram、ins、twitter、youtube、faceboo、tiktokk等) 🎈提供点赞、关注者、观看次数、评论、分享...... 🎈推荐:群组强拉、会员开通、媒体账号等服务,价格低廉

20 Nov 2024, 00:41 UTC166 viewsread 12 August 2026
Photo

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2 Nov 2024, 13:34 UTC129 viewsread 12 August 2026
Photo

8. 【魚乾】今天的我超美麗!教大家洗貓咪的四種方法!( YouTuber靈魂交換 ).mp4

2 Nov 2024, 13:32 UTC127 viewsread 12 August 2026
Photo

7. 牛仔褲口袋裡的小口袋有什麼用途_ _ 超邊緣冷知識 第44集 _ 啾啾鞋 _ YouTuber靈魂交換.mp4

29 Sept 2024, 02:15 UTC113 viewsread 12 August 2026
Photo

6. 阿滴英文|10個常用的台語句子【情侶吵架篇】(YouTuber靈魂交換).mp4

Showing the 12 most recent of 15 posts we hold for @shengjieshi. 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 — 537,558 of 1,549,704entries 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.

Mentions

Named by 38 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 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“聖結石Saint” (@shengjieshi), 9 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/shengjieshi.

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.