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Channel

深圳妙妙酱🉑🐍🉑69(新人开课)

@jjja12341

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

219subscribers

+128 since we began measuring on 14 September 2026

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

Register entry

Telegram ID-1004477297259
TypeChannel
Username@jjja12341
Created14 September 2026measured — dated from the channel’s first post
First recorded14 September 2026
Last confirmed live15 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/jjja12341

Growth

9121915514 Sept 2026, 18:47 — 91 subscribers14 Sept 2026, 19:22 — 91 subscribers15 Sept 2026, 15:39 — 219 subscribers14 Sept 2026, 18:4715 Sept 2026, 15:39
3 measurements taken within a single day, net +128. 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 72–238 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 15:39219+128
14 Sept 2026, 19:2291no change
14 Sept 2026, 18:4791first reading

Engagement

9 posts held, back to 14 September 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
68.4%
avg views ÷ 219 subscribers
Avg views / post
150
8 posts measured
Reaction rate
0.723%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 8 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 14 September 2026
Posts held9 (14 September 202614 September 2026)
Views total1,199
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 19:22 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
15s
Average length
8s

Measured directly from 2 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.

Reaction mix

3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
266.7%
👍133.3%

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 9 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 14 September 2026 to 14 September 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

14 Sept 2026, 13:17 UTC107 viewsread 14 September 2026
Photo

🎰 福田妙妙酱半价 📮 参与条件: 🎫 加入-深圳妙妙酱🉑🐍🉑69(新人开课) 🎫 加入-深圳研究协会 └ 🎟️ 发言数大于 10 条 🎫 加入-深圳研究协会报告录 🎫 加入-深圳研究协会榜 🎁 奖品内容: 💰️ 半价p × 1 ⚠️ 抽奖说明: 1.中奖请在24小时之内联系老师 2.七天内使用,素质出击 3.退群及频道默认放弃抽奖资格 炸号者无效 4.禁止🚫刷屏乱水 5. 深圳研究协会群内每日现金红包🧧 半价劵 等你来拿 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年09月18日 16时17分00秒

14 Sept 2026, 11:00 UTC122 viewsread 14 September 2026
Photo

🎰 妙妙酱5折劵工兵活动 📮 参与条件: 🎫 加入-深圳妙妙酱🉑🐍🉑69(新人开课) 🎫 加入-花荟交流群 🎫 加入-深圳花荟资源录 🎫 加入-深圳花荟群 └ 🎟️ 发言数大于 10 条 🎁 奖品内容: 💰️ 单p5折工兵劵 × 1 ⚠️ 抽奖说明: 注:1.有效期5天,过期无效,花荟群回收! 2.工兵专属补贴金活动,凭中奖记录联系老师兑奖,不可折现,属约课抵现! 3..炸号中奖作废回收! 4.中奖出击后需要提供真实报告给与群里发布,供后面群友出击参考! 中奖联系:https://t.me/a888888n/5484 📅 开奖日期:(北京时间) 2026年09月17日 19时00分00秒

14 Sept 2026, 10:07 UTC115 viewsread 14 September 2026

深圳·乱世俏佳人 群里有现金福利、白嫖福利、水群福利等各项福利 佳人群: https://t.me/abtmjojneneneny 佳人榜单: https://t.me/xxxmmmjjja 佳人报告: https://t.me/xienduendj 那些年·错过的女孩: https://t.me/abtmchoosese 佳人备用群: https://t.me/Sz_Choosese

14 Sept 2026, 10:06 UTC117 viewsread 14 September 2026
Photo

🎰 福田妙妙酱 @jjja1231 半价优惠券 📮 参与条件: 🌏️ 归属地 广东 🪪 必须设置用户名 🎫 加入-深圳妙妙酱🉑🐍🉑69(新人开课) 🎫 加入-深圳·乱世俏佳人(备用群) 🎫 加入-深圳·乱世俏佳人 └ 🎟️ 发言数大于 66 条 🎁 奖品内容: 💰️ 福田妙妙酱 @jjja1231 半价优惠券 限p × 1 ⚠️ 抽奖说明: 1:中奖者24小时内私聊老师兑奖; 2:开奖3天内没有兑奖的,则过期无效; 3:兑奖需要出击完提交详细报告:@Szqiaojiarenbg_bot 4:不去私聊管理 @bingmeishijiabing 回收; 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年09月17日 13时05分00秒

14 Sept 2026, 07:48 UTC170 views1 reactionsread 14 September 2026
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🎰 【骑士团☆福田妙妙酱半价活动】 🎫 加入的前置频道: 🎫 加入 —— 深圳少女御姐骑士团 🎫 加入 —— 深圳少女御姐榜 🎫 加入 —— 深圳少女御姐甄选❤️ 🎫 加入 —— 深圳少女御姐预备榜 🎫 加入 —— 深圳妙妙酱🉑🐍🉑69(新人开课) 🎟️ 要求活动期间群内发言数 8 🎁 奖品内容: 半价p × 1 💡 活动说明: 数十张名师白嫖➕数万元奖金等你拿! 深圳骑士团开群福利🧧 👉🏻① 开奖时间起(7天内兑奖,过期作废) 👉🏻② 炸号中奖作废 (老师可以拒绝兑奖) 👉🏻③ 出击完7日内提供详细的报告提交: 「悟空」 @SZwukongbot 否则拉黑并通报。 👉🏻④ 禁止转让或买卖,否则拉黑名单挂榜。 📢为保证老师的利益,请老师兑奖严格按照机器人🤖推送的 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年09月18日 15时47分47秒 ⚡️ 加成说明: ⚡️ 加成消耗:6个

1

14 Sept 2026, 05:22 UTC245 views2 reactionsread 14 September 2026
Video

认证视频哦哥哥们头课预约哦😘😘

1👍1

14 Sept 2026, 05:05 UTC201 viewsread 14 September 2026
Photo

新人开课多多关照哦 个人:@jjja1231 机器人:@jjja1231bot

Showing the 9 most recent of 9 posts we hold for @jjja12341. 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

Named by 1 registered channel — 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“深圳妙妙酱🉑🐍🉑69(新人开课)” (@jjja12341), 219 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/jjja12341.

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.