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Channel

西安满园春色百花榜

@MYCS002

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

19,845subscribers

-3,177 since we began measuring on 28 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1004318085274
TypeChannel
Username@MYCS002
Description西安春色满园:https://t.me/MYCS01 西安百花榜:https://t.me/MYCS002 春色满园公告栏:https://t.me/MYCS003 唯一管理: @BHyuanyishi_bot
CreatedBetween 1 June 2026 and 24 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live7 November 2026
Measurements held42
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/MYCS002

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 87% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

19,84523,02321,43428 August 2026 — 23,022 subscribers28 August 2026 — 23,022 subscribers29 August 2026 — 23,023 subscribers30 August 2026 — 23,020 subscribers31 August 2026 — 22,988 subscribers1 September 2026 — 22,965 subscribers2 September 2026 — 22,893 subscribers4 September 2026 — 22,842 subscribers6 September 2026 — 22,830 subscribers9 September 2026 — 22,716 subscribers12 September 2026 — 22,630 subscribers13 September 2026 — 22,621 subscribers15 September 2026 — 22,561 subscribers17 September 2026 — 22,539 subscribers26 September 2026 — 22,351 subscribers4 October 2026 — 21,825 subscribers9 October 2026 — 21,576 subscribers13 October 2026 — 21,493 subscribers14 October 2026 — 21,457 subscribers15 October 2026 — 21,421 subscribers16 October 2026 — 21,389 subscribers17 October 2026 — 21,379 subscribers18 October 2026 — 21,344 subscribers19 October 2026 — 21,313 subscribers20 October 2026 — 21,232 subscribers22 October 2026 — 21,132 subscribers23 October 2026 — 21,000 subscribers24 October 2026 — 20,952 subscribers25 October 2026 — 20,902 subscribers26 October 2026 — 20,842 subscribers27 October 2026 — 21,757 subscribers28 October 2026 — 21,735 subscribers29 October 2026 — 21,578 subscribers30 October 2026 — 21,425 subscribers31 October 2026 — 21,335 subscribers1 November 2026 — 21,176 subscribers2 November 2026 — 21,142 subscribers3 November 2026 — 20,011 subscribers4 November 2026 — 19,941 subscribers5 November 2026 — 19,923 subscribers6 November 2026 — 19,902 subscribers7 November 2026 — 19,845 subscribers28 August 20267 November 2026
42 measurements spanning 71 days, net -3,177. 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 19,368–23,500 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)SubscribersChange
7 Nov 2026, 12:0619,845-57
6 Nov 2026, 11:2619,902-21
5 Nov 2026, 08:2019,923-18
4 Nov 2026, 06:3019,941-70
3 Nov 2026, 08:3520,011-1,131
2 Nov 2026, 09:1421,142-34
1 Nov 2026, 09:1621,176-159
31 Oct 2026, 12:2021,335-90
30 Oct 2026, 15:3921,425-153
29 Oct 2026, 15:0021,578-157
28 Oct 2026, 11:3021,735-22
27 Oct 2026, 08:3021,757+915
26 Oct 2026, 09:3620,842-60
25 Oct 2026, 09:2820,902-50
24 Oct 2026, 06:4120,952-48
23 Oct 2026, 03:3021,000-132
22 Oct 2026, 02:4821,132-100
20 Oct 2026, 20:1021,232-81
19 Oct 2026, 22:2821,313-31
18 Oct 2026, 21:3121,344first reading

Engagement

40 posts held, back to 24 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 38 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.34%
avg views ÷ 19,845 subscribers
Avg views / post
1,260
23 posts measured
Reaction rate
0.101%
reactions ÷ views · ER floor
Posts in window
23
of 40 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 8 of 23 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 6 November 2026
Posts held40 (24 August 2026 – 6 November 2026)
Views total28,919
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 15:19 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
443
Videos
118
Links
102

Lifetime counters from Telegram’s own channel header, read 7 November 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
4m 43s
Average length
10s

Measured directly from 27 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

27 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 96.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2696.3%
🤩13.70%

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 17 of the 40 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 24 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 0 of 23 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 11:12 UTC340 viewsread 7 November 2026

末央区乐佳老师 优惠时间:11月6日-11月30号 优惠金额:p优惠一张 pp优惠一张包时优惠一张包夜2张

6 Nov 2026, 04:01 UTC≈1,240 viewsread 7 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 💞老师花名: 小团团(BBW嫩妹)未央🉑上🚪 💕老师车牌: @quiqui77777 🔊双向联系:@quiquiij_bot 🪯老师频道:https://t.me/qiuqiu886965 💮老师简介: 年龄24岁,身高167,体重62kg #胸C杯 #兼职 #御姐 #高颜值 #人照一致 #嫩妹 #巨乳 #皮肤白 #个人 #服务好 🚪课室位置: #未央区 保亿小区 🔮服务标签: #口爆 #乳交 #胸推 #舌吻#舔胸 #指滑 #艾艾 #情趣制服 #高跟丝袜 ⚜️课费课时: #600p(40分钟) #1000pp(1小时30分钟) #包时(三小时1500不限次) #夜课 (1900不限次晚上十点以后一共六小时) #可上门 (1p…

5 Nov 2026, 10:19 UTC801 views1 reactionsread 7 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名:王小喵 💕老师车牌: @wangxiaomiao2 🔊双向联系:@wangxiaomiao2_bot 🪯老师频道:https://t.me/wangxiaomiao8 💮老师简介: 年龄25岁,身高165cm,体重46kg #胸36E #兼职 #皮肤白 #水蛇腰 #水多 #三点粉 #长腿 #服务系 #身材好 #颜值系 #巨乳 🚪课室位置: #未央区 凤城四路 🔮服务标签: #吸蛋蛋 #花式吹箫 #可外出 #角色扮演 #可69 #毒龙 #舌吻 双飞 #制服诱惑 #水中箫 #臀推 #鸳鸯浴 #胸推 #乳交 #上门 #有套爱爱 #指划 #冰火两重天 #口爆 #按摩 #无套口 #漫游 …

❤1

5 Nov 2026, 07:11 UTC≈2,940 views3 reactionsread 7 November 2026
Photo

西安最全性价比最高的 🚫💯📵📵 半套 全套 洗浴 会所 水会 商k 上门 全国(游戏场 真空场 商务场) 门店覆盖全城🔥🔥🔥 安排流程 1️⃣说位置就近安排 2️⃣说预算选择档位 3️⃣到达位置说特征接待 4️⃣进去先选人再选项目 以上没有隐形消费,也没有强制消费,看不上人扭头就走不需要一分钱🔥🔥 绝无套路👍 西安洗浴最全门店 🔥 🚓🚑🚒🚐🛻:🥰 @VIPpapapa 🥰 🚫💯📵📵 📱📱📱📱📱😀😃😀😃 之前好评老频道炸了进新频道 https://t.me/zpbz8888666haoping 🕐 营业时间: 中午12点到凌晨 😝🤩😜🤪商家联系方式: ├ 电报: @VIPpapapa 🚫💯📵📵 ├ 频道: https://t.me/VIPpapapa8888 外围群组:https://t.me/VIP696969699 ├ 类型: #98 #上门 #外围 #商k #95 └ 简介: …

❤2🤩1

5 Nov 2026, 06:27 UTC≈2,150 views1 reactionsread 7 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 甜奈奈 💕老师车牌: @tiannainaic 🔊双向联系:@TiannainaiBot 🪯老师频道:https://t.me/tiannaina 💮老师简介: 年龄19岁,身高164cm,体重42kg #胸b杯 #兼职 #皮肤白 #水蛇腰 #水多 #三点粉 #学生 #萝莉 #娇小 #蜜桃臀 #嫩妹 #身材好 #颜值系 🚪课室位置: #雁塔区 香榭兰廷小区 🔮服务标签: #可外出 #可69 #舌吻 #制服诱惑 #cos #上门 #有套爱爱 #指划 #无套口 ⚜️课费课时: #700p(45分钟) #1200pp(90分钟) #夜课 (2800/8小时/不限次) #可上门…

❤1

4 Nov 2026, 16:39 UTC≈1,830 views1 reactionsread 7 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 王依 💕老师车牌: @kugg806 🔊双向联系:@wangyiletbot 🪯老师频道:https://t.me/kugg80 💮老师简介: 年龄19岁,身高165cm,体重45kg #胸B杯 #水多 #三点粉 #嫩妹 #模特 #混血 #长腿 #身材好 #颜值系 🚪课室位置: #莲湖区 悦享美寓小区 🔮服务标签: #可69 #舌吻 #外出 #无套口 #有套爱爱 #水中萧 ⚜️课费课时: #600p(45分钟) #1000pp(90分钟) #包时(价格1500/时长2小时) #夜课 (价2200格/12点到8/限制4次) #可上门 (pp起步上门/路费1张) 满园春…

❤1

4 Nov 2026, 07:42 UTC≈1,500 views1 reactionsread 6 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 小咪 💕老师车牌: @xiaomi114 🔊双向联系:https://t.me/xiaomi114_bot 🪯老师频道:https://t.me/xiaomi114i 💮老师简介: 年龄19岁,身高162cm,体重45kg #胸B杯 #皮肤白 #水蛇腰 #水多 #三点粉 #学生 #短发 #玉足 #娇小 #不抽烟 #嫩妹 #颜值系 🚪课室位置: #莲湖区 北关街道 🔮服务标签: #可外出 #可69 #舌吻 #制服诱惑 #鸳鸯浴 #上门 #有套爱爱 #指划 #无套口 ⚜️课费课时: #600p(45分钟) #1000pp(90分钟) #包时(15张/2小时/不限制) #夜课 (25…

❤1

4 Nov 2026, 06:16 UTC747 views1 reactionsread 5 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 果儿(未央区) 💕老师车牌: @Guoer1346 🔊双向联系:@guoer369_bot 🪯老师频道:https://t.me/guoer369 💮老师简介: 年龄27岁,身高170cm,体重49kg #胸D杯 #兼职 #御姐 #皮肤白 #水蛇腰 #水多 #蜜桃臀 #不抽烟 #长腿 #长发 #服务系 #身材好 #颜值系 #巨乳 🚪课室位置: #未央区 凤城五路华天科技 🔮服务标签: #吸蛋蛋 #花式吹箫 #可外出 #可69 #制服诱惑 #水中箫 #臀推 #鸳鸯浴 #胸推 #乳交 #深喉 #上门 #有套爱爱 #指划 #口爆 #无套口 #漫游 ⚜️课费课时: #600p(…

❤1

4 Nov 2026, 05:17 UTC≈1,320 viewsread 5 November 2026
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📊 1条车评,综合评分9.5 好评 100% |人照 9 |服务 10 中评 0% |颜值 9 |态度 10 差评 0% |身材 10 |环境 9 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 舔舔 💕老师车牌: @tiantian121389 🔊双向联系:@tiantian121389bot 🪯老师频道:https://t.me/tiantian1213899 💮老师简介: 年龄20岁,身高162cm,体重50kg #胸B杯 #白虎 #短发 #无纹身 🚪课室位置: #未央区 凤五世纪金花/大明宫西荣民时代 🔮服务标签: #嫩妹 #服务系 #陪洗 #鸳鸯浴 #可舌吻 #可69 #无套口 #戴套做 #丝袜情趣 #情绪价值 #待客如男友 #姿势配合 ⚜️课费课时: #600p (40分钟) #1000pp (80分钟) #包时1800 (3小…

4 Nov 2026, 05:16 UTC956 viewsread 4 November 2026
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📊 1条车评,综合评分9.33 好评 100% |人照 8.5 |服务 10 中评 0% |颜值 9 |态度 10 差评 0% |身材 8.5 |环境 10 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 圈圈 💕老师车牌: @loveyuanyuanbb 🔊双向联系:@xaquanquan_bot 🪯老师频道:@quanquanyuanyuanbb 💮老师简介: 年龄28岁,身高165cm,体重58kg #胸b杯 #御姐 #皮肤白 #水多 #蜜桃臀 #空姐 #熟女 #不抽烟 #人工白虎 #长发 #服务感觉系 🚪课室位置: #雁塔区 电视塔 🔮服务标签: #吸蛋蛋 #花式吹箫 #限时不限次 #69 #舌吻 #制服诱惑 #水中箫 #鸳鸯浴 #深喉 #上门 #有套爱爱 #指划 #冰火两重天 #口爆 #无套口 #漫游 ⚜️课费课时: #500p(5…

3 Nov 2026, 12:36 UTC≈1,360 viewsread 4 November 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 点击查看车评 点击写车评 [西安·满园春色]认证榜单收录 💞老师花名: 悠悠 💕老师车牌:@xq234234 🔊双向联系:@xiaoqi0123_bot 🪯老师频道:https://t.me/youyoudexiaowo123 💮老师简介: 年龄19岁,身高163cm,体重90斤 #胸c杯 #兼职 #皮肤白 #水蛇腰 #水多 #三点粉 #娇小 #嫩妹 #身材好 #颜值系 🚪课室位置: #未央区 龙首原 🔮服务标签: #吸蛋蛋 #花式吹箫 #可外出 #可69 #舌吻 #制服诱惑 #上门 ⚜️课费课时: #600p(40分钟) #1100pp(90分钟) #包时(2小时1800不限次) #夜课 (2500/八小时/限4次) …

3 Nov 2026, 10:51 UTC246 viewsread 4 November 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8260561681

Showing the 12 most recent of 40 posts we hold for @MYCS002. 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“西安满园春色百花榜” (@MYCS002), 19,845 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/MYCS002.

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.