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Channel

梅花园~思思

@sisidbmm

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

744subscribers

+119 since we began measuring on 18 August 2026

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

Register entry

Telegram ID-1002586474797
TypeChannel
Username@sisidbmm
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 August 2026
Last confirmed live2 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/sisidbmm

Growth

625748686.518 August 2026 — 625 subscribers19 August 2026 — 697 subscribers25 August 2026 — 748 subscribers2 September 2026 — 744 subscribers74418 August 20262 September 2026
4 measurements spanning 15 days, net +119. 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 607–766 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 11:08744-4
25 Aug 2026, 15:13748+51
19 Aug 2026, 04:16697+72
18 Aug 2026, 05:31625first reading

Engagement

15 posts held, back to 29 June 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
9.14%
avg views ÷ 744 subscribers
Avg views / post
68.0
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 18 August 2026
Posts held15 (29 June 202618 August 2026)
Views total68
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 05:31 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

10 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10100.0%

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 5 of the 15 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 29 June 2026 to 18 August 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

18 Aug 2026, 02:00 UTC68 viewsread 18 August 2026
Photo

🎉 🍀白云少妇思思🍀8月神教半价抽奖 🎁 奖品清单 • 1P半价券 × 1 🛡️ 参与条件 • 加入 广州佛山神教修车群 • 加入 神教公开榜 • 加入 广州神教娱乐榜 • 加入 广州神教商家推流群 • 加入 梅花园~思思 • 参加抽奖后需在 广州佛山神教修车群 内发言3次 └ 群内发送“抽奖进度”查看完成度(每日限5次) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:2神教币 • 祝福上限:75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 • 2026-08-20 12:00:00 📜 抽奖说明 中奖者联系 @sisidbmmm 兑奖; 1️⃣ 抽中半价或白嫖等大额优惠券在中奖时即奖池拉黑100天,所有抽奖优惠券的通用使用时间为7天,具体以抽奖说明为准,拉黑期间提前交报告则提前解除拉黑,如遇老师红休则14天内完成兑奖,老师不兑或跑路请举报至管路员伍佰,该老师直接下榜

12 Jul 2026, 04:00 UTC≈1,570 views3 reactionsread 18 August 2026
Photo

✨ 命运揭晓时刻 ✨ 💋天河巨臀少妇思思💋神教7月半价抽奖 开奖了 抽奖人数:77,抽奖号数:288 1. 小四【祝福1次】 中得:1P半价 抽奖说明: 中奖者联系 @sisidbmmm 兑奖; 1️⃣ 抽中半价或白嫖等大额优惠券在中奖时即奖池拉黑100天,所有抽奖优惠券的通用使用时间为7天,具体以抽奖说明为准,拉黑期间提前交报告则提前解除拉黑,如遇老师红休则14天内完成兑奖,老师不兑或跑路请举报至管路员伍佰,该老师直接下榜, 2️⃣所有抽奖优惠券同时均可无偿转让,且只能无偿,转让必须先征得老师同意,发现付费等有偿转让的,群组封禁。 3️⃣参加抽奖视为已读并同意本说明,参加务必三思,不接受点错、后悔等理由申诉!! 🔍 杜绝黑幕,点击查看本次开奖全程验证

3

10 Jul 2026, 10:25 UTCviews —

梅花园~思思 pinned «🎉🎉🎉 开奖啦 🎉🎉🎉 思思老师福利抽奖活动 开奖结果 📊 本次抽奖数据: - 总参加人数: 124人 总抽奖号数:125 🏆 中奖名单: 啵 啵 - 半价优惠卷p 💡 抽奖说明: ①本次活动由老师本人赞助,有效期7天 ②中奖请私聊 @sisidbmmm ③白嫖 半价优惠券7日内出击写报告,超时拉黑三个月,请各位老师不要抽半价优惠券。 ④优惠券 半价 白嫖券不能以任何理由贩卖,发现永久拉黑 ⑤半价老师没有犯原则错误必须使用(放鸽子 不接半价等) ⑥发奖人在发奖前请仔细阅读发奖指引,以防奖品被冒领造成不必要的损失👉🏻…»

10 Jul 2026, 10:25 UTC≈1,510 views1 reactionsread 18 August 2026

🎉🎉🎉 开奖啦 🎉🎉🎉 思思老师福利抽奖活动 开奖结果 📊 本次抽奖数据: - 总参加人数: 124人 总抽奖号数:125 🏆 中奖名单: 啵 啵 - 半价优惠卷p 💡 抽奖说明: ①本次活动由老师本人赞助,有效期7天 ②中奖请私聊 @sisidbmmm ③白嫖 半价优惠券7日内出击写报告,超时拉黑三个月,请各位老师不要抽半价优惠券。 ④优惠券 半价 白嫖券不能以任何理由贩卖,发现永久拉黑 ⑤半价老师没有犯原则错误必须使用(放鸽子 不接半价等) ⑥发奖人在发奖前请仔细阅读发奖指引,以防奖品被冒领造成不必要的损失👉🏻 https://t.me/GZLBJX/170

1

7 Jul 2026, 08:35 UTC≈1,460 views5 reactionsread 18 August 2026
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艺名: #思思 价格: #450P #700pp 地址: #白云 梅花园 私聊: @sisidbmmm 频道: https://t.me/sisidbmm 状态: #已视频验证 标签: #御姐风 #舌吻 #巨臀 #莞式 #可69 报告一 欢迎加入广佛神教群 t.me/GZSJQ 广佛个人老师最多的群,出击不踩雷,锐评不删,保护狼友,汉堡王红包抽奖多多

5

7 Jul 2026, 08:01 UTC≈1,490 viewsread 18 August 2026
Photo

🎉 💋天河巨臀少妇思思💋神教7月半价抽奖 🎁 奖品清单 • 1P半价 × 1 🛡️ 参与条件 • 加入 广州佛山神教修车群 • 加入 神教公开榜 • 加入 广州神教娱乐榜 • 加入 广州神教商家推流群 • 加入 梅花园~思思 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:1神教币 • 祝福上限:50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 • 2026-07-12 12:00:00 📜 抽奖说明 中奖者联系 @sisidbmmm 兑奖; 1️⃣ 抽中半价或白嫖等大额优惠券在中奖时即奖池拉黑100天,所有抽奖优惠券的通用使用时间为7天,具体以抽奖说明为准,拉黑期间提前交报告则提前解除拉黑,如遇老师红休则14天内完成兑奖,老师不兑或跑路请举报至管路员伍佰,该老师直接下榜, 2️⃣所有抽奖优惠券同时均可无偿转让,且只能无偿,转让必须先征得老师同意,发现付费等有偿转让的,群组

Showing the 12 most recent of 15 posts we hold for @sisidbmm. 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 3 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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“梅花园~思思” (@sisidbmm), 744 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/sisidbmm.

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.