Telegram RegisterThe public register of Telegram

Channel

禁忌收藏备份

@jinji0214

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

726subscribers

+20 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-1003971003950
TypeChannel
Username@jinji0214
CreatedBetween 1 April 2026 and 13 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/jinji0214

Growth

7067267167 Aug 2026, 19:14 — 706 subscribers8 Aug 2026, 02:18 — 706 subscribers8 Aug 2026, 11:10 — 726 subscribers7 Aug 2026, 19:148 Aug 2026, 11:10
3 measurements taken within a single day, net +20. 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 703–729 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 11:10726+20
8 Aug 2026, 02:18706no change
7 Aug 2026, 19:14706first reading

Engagement

5 posts held, back to 13 May 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
181.1%
avg views ÷ 726 subscribers
Avg views / post
1,320
2 posts measured
Reaction rate
0.197%
reactions ÷ views · ER floor
Posts in window
3
of 5 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 1 of 2 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 24 July 2026
Posts held5 (13 May 202624 July 2026)
Views total2,630
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:18 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

3 reactions across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 1 of the 5 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 13 May 2026 to 24 July 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

24 Jul 2026, 12:23 UTC≈1,520 views3 reactionsread 8 August 2026
Photo

本频道专注整理分享各类网络资源,提供分类导航与社群指引。 受平台管控影响,统一在此更新最新链接,方便大家浏览查阅、避免失联。 🎬禁忌收藏 收集全网优质资源,综合跨越不同领域与性趣。这里总有你喜欢的,期待你的发现。 💌禁忌之匣 这里是你释放隐秘欲望与忏悔罪孽的角落。无论是不为人知的性癖,还是无处倾诉的罪恶,你都可以在此匿名分享——没有审判,没有边界,只有绝对的自由与隐秘。 注:互动评论可获积分兑换【堕魔修邪】门票,具体说明可打字“规则”查看 💬禁忌之匣【不搞黄】 来这里随便吐槽、随便发文、随心分享,容纳所有日常与碎碎念。 唯一规则:不搞黄! 🔞禁忌资源仓 全网合集资源整合站,甄选优质影音内容,精细化分类整编,素材均来源于公开网络资源,品类齐全,方便检索查阅。 📖禁忌书榜 这里是成人小说社区,提供作品评分、深度讨论和创作空间,并通过直观的打分系统,帮助您轻松避雷、筛选佳作。 原创小说投稿可获【私密收藏】门票,具体说明可在评

3

24 Jul 2026, 12:22 UTC≈1,110 viewsread 8 August 2026
Photo

点击链接设置 Telegram 语言为中文👇: ● 简体中文:https://t.me/setlanguage/zh-hans-beta ●繁体中文(香港):https://t.me/setlanguage/zh-hant-beta 如果你进入某个群或频道遇到如下提示: This channel can't displayed because it was used to spread pornographic content. 原因: 有人在群/频道里发了色情内容, 被 Telegram 官方限制了; ✅解决办法: 登录Telegram Web网页版链接: https://web.telegram.org (复制到浏览器打开) ⚡️操作: 登录网页版后 ➊点击「Settings/设置」 ➋点击「Privacy and Security/隐私和安全」 ➌找到「Sensitive content/敏感内容」并勾选「Disab

Showing the 5 most recent of 5 posts we hold for @jinji0214. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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

“禁忌收藏备份” (@jinji0214), 726 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/jinji0214.

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.