安艺 @szluoli8 地区课费: » #南山 #西丽 » 800p 1500pp » 22 164cm 46kg B 标签: #800以内 #上门 #不限次 #制服 #包时 #女友感 #御姐 #手势验证 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联

Channel
深圳繁花资源库
@szblossomsss
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
33,143subscribers
+2,073 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002370893081 |
|---|---|
| Type | Channel |
| Usernames | @fanhuax @szblossomsss |
| Description | 遵循真人真照和使用非本人露脸照片需告知原则,如遭遇人照不对版、服务差等问题可提交反馈。 大群 https://t.me/+YEnBxsOycJU2Yzgx 报告 @szfanhuabg 管理 @SZCJFX001 @CJFX001_bot 防失联导航 @cjnav |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 70 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/szblossomsss |
Topic
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 09:40 | 33,143 | +16 |
| 2 Oct 2026, 00:17 | 33,127 | +322 |
| 18 Sept 2026, 14:01 | 32,805 | +7 |
| 18 Sept 2026, 09:36 | 32,798 | +67 |
| 16 Sept 2026, 05:01 | 32,731 | +1 |
| 16 Sept 2026, 00:59 | 32,730 | -113 |
| 14 Sept 2026, 09:55 | 32,843 | +1 |
| 14 Sept 2026, 08:42 | 32,842 | +71 |
| 12 Sept 2026, 19:22 | 32,771 | +4 |
| 12 Sept 2026, 18:40 | 32,767 | +58 |
| 10 Sept 2026, 20:42 | 32,709 | +4 |
| 10 Sept 2026, 16:21 | 32,705 | +134 |
| 7 Sept 2026, 22:20 | 32,571 | +25 |
| 7 Sept 2026, 10:37 | 32,546 | +98 |
| 4 Sept 2026, 22:00 | 32,448 | +17 |
| 4 Sept 2026, 16:19 | 32,431 | +85 |
| 3 Sept 2026, 06:29 | 32,346 | +15 |
| 3 Sept 2026, 02:05 | 32,331 | +35 |
| 2 Sept 2026, 04:02 | 32,296 | +2 |
| 2 Sept 2026, 02:26 | 32,294 | first reading |
Engagement
333 posts held, back to 6 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 96 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.00%
- avg views ÷ 33,143 subscribers
- Avg views / post
- 664
- 134 posts measured
- Reaction rate
- 0.119%
- reactions ÷ views · ER floor
- Posts in window
- 134
- of 333 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 41 of 134 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 333 (6 August 2026 – 2 October 2026) |
| Views total | 88,923 |
| Reactions total | 43 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 20:12 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
- ≈7,510
- Videos
- ≈1,370
- Links
- ≈312
Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 23m 31s
- Average length
- 8s
Measured directly from 176 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
98 reactions across 75 posts, in 6 distinct kinds. The most used accounts for 89.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 88 | 89.8% | |
| 👍 | 5 | 5.10% | |
| 😁 | 2 | 2.04% | |
| 👏 | 1 | 1.02% | |
| 🤯 | 1 | 1.02% | |
| 🥰 | 1 | 1.02% |
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 107 of the 333 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 98 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 333 most recent posts we hold, published 6 August 2026 to 2 October 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
张俪 @lilizhabg66 地区课费: » #罗湖 » 800p 1200pp 500环保 » 25 165cm 45kg 36D 标签: #800以内 #制服 #御姐 #手势验证 #服务型 #环保 #骚 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
婷婷 @tingting5568 地区课费: » #龙华 #清湖 » 600p 1000pp » 24 161cm 40kg 36C 备注:私聊老师看验证 标签: #菩萨价 #上门 #包夜 #包时 #按摩 #新人 #晚课 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
小羽 @yuer16688 地区课费: » #福田 #皇岗村 » 1000p 1800pp » 18 160cm 45kg B 标签: #1000以内 #jk #上门 #女友感 #手势验证 #拍视频 #新人 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
静静 @jjy3344 地区课费: » #南山 #高新北 » 1000p 1800pp » 18 167cm 43kg B 标签: #1000以内 #jk #上门 #偏廋 #制服 #包时 #女友感 #手势验证 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
❤1
江月诗 @eggshr88i 地区课费: » #福田 #下沙 » 1000p 1800pp » 168cm 50kg 36C 标签: #1000以内 #制服 #手势验证 #拍视频 #皮肤白 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
梦梦 @cs8848 地区课费: » #罗湖 #国贸 » 1000p 1800pp » 26 168cm 49kg 36C 备注:私聊老师看验证 标签: #1000以内 #m #s #不限次 #包夜 #包时 #小玩具 #御姐 #角色扮演 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
❤1
小甜甜 @WQQ5204134 地区课费: » #福田 #下沙 » 900p 1600pp » 18 160cm 45kg 36C 标签: #1000以内 #包夜 #包时 #女友感 #手势验证 #甜妹 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
小星星 @lkwy520 地区课费: » #光明 #凤凰 » 1000p 1800pp » 23 172cm 50kg C 备注:私聊老师看验证 标签: #1000以内 #一米七 #上门 #不限次 #制服 #包夜 #包时 #女友感 #御姐 #无纹身 #清纯 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
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_1265224296
米米 @Mimid168 地区课费: » #福田 #下沙 » 1199p 2099pp » 25 168cm 52kg D 标签: #1500以内 #制服 #女友感 #御姐 #微胖 #手势验证 #按摩 #新人 #无纹身 #皮肤白 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
泡芙 @paofu86 地区课费: » #福田 #侨香 » 1400p » 21 162cm 46kg D 标签: #1500以内 #不抽烟 #偏廋 #女友感 #御姐 #手势验证 #无纹身 #皮肤白 #颜值 查看: » 看报告 » 写报告 » 榜单 » 群组 » 防失联
👍1
Showing the 12 most recent of 333 posts we hold for @szblossomsss. 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.
Posts edited after publishing
@szblossomsss edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 31 August 2026
- Most recent edit
- 31 August 2026
Mentions
Named by 79 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.
Named by
Channels on the register whose posts name this channel's handle.
@nh456766 · 1,4093 posts倩倩个人资料👄👄
@qian1283 · 3013 posts芊芊出击报告
@qiqian123 · 243 posts南山07甜诗诗
@shishi975 · 3,3253 posts深圳南山小仙女小屋
@xxndkunkunwu0 · 10,3733 posts报告福利频道
@abc5328 · 242 posts南山安琪儿 熟女(个人)
@nsanqier · 2,9302 posts小甜甜的私生活😘😘
@PP52014131 · 10,8672 posts福田乔伊伊💗前凸后翘频道
@qiaoyiyi5864 · 8,7602 posts乐宝宝的朋友圈蛇吻69
@sisih668 · 4152 posts宝安薇薇
@szxx669 · 7272 postsF罩杯巨乳糖糖95环保👅💞本人
@tangtang95E · 1,9532 posts05年白虎一线天 宝宝 频道
@wawa20052121 · 6,4392 posts宝安小甜欣的照片库
@xhsbwg1 · 2792 posts车评 小染
@xran387yyy · 602 posts一一的朋友圈
@yiyi1473 · 2052 posts安安
@anan998870 · 1,4671 post贵宾厅
@NN07521 · 3,0341 post小雨报告
@opkh588 · 4741 post暖汐 (莞式服务)
@qi94j · 9441 post🍑桃桃熊的小屋🏠SM
@ttx988888 · 4,2671 post深圳龙岗布吉莞式雯雯
@WYN168888 · 3,0961 post筱婷个人资料📃
@XXXiaoliu2 · 2031 post深圳龙岗净身高小月的朋友圈
@xydpd520 · 7881 post
Names
Channels on the register whose handles appear in this channel's posts.
@cjnav · 5,514238 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,838,64020 posts深圳~广州全区95安排
@Szyldk95 · 8,6903 posts深圳商K/摸摸唱/小时场/商务场🅥
@chnsz3 · 1,3242 posts深圳会所92/94资源🅥
@chnsz6 · 4,0922 posts深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 10,6282 posts深圳宝安吉伊抓龙筋丝足SM
@szbajypd · 4,6002 posts搜女出海 - Gmail账号 - Google账号 - 谷歌邮箱
@szklmqz · 6,6252 posts全国包养萝莉/处女/学妹(广告频道)
@leibaobao6 · 51 post全国莞式全套会所
@meimei4685 · 11 post深圳Tokyo名流裸身私浴spa
@mingliu_tokyo · 5,2951 post深圳南山浅吟&半裸疗愈释放抓龙筋
@qyspa2026 · 6,6451 post深圳94-95高端会所
@shzhe9495 · 2,1401 post深圳私密会所专场(高质量场所)
@szlhsh · 2,3021 post深圳南山抓龙筋丝足前高 🐲晓琳店
@xiaolinzlj · 5,4511 post深圳柚柠私影mmk频道
@xingysy · 3591 post
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 October 2026 — this entry's latest reading, not the date you are reading this.
“深圳繁花资源库” (@szblossomsss), 33,143 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/szblossomsss.
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.