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深圳学院锐评榜 @szlsb

@szlsb

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

3,032subscribers

+160 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002531313719
TypeChannel
Username@szlsb
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/szlsb

Growth

2,8723,0322,9527 August 2026 — 2,872 subscribers7 August 2026 — 2,872 subscribers7 August 2026 — 2,873 subscribers9 August 2026 — 2,939 subscribers13 August 2026 — 2,995 subscribers16 August 2026 — 3,032 subscribers7 August 202616 August 2026
6 measurements spanning 10 days, net +160. 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 2,848–3,056 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:253,032+37
13 Aug 2026, 01:442,995+56
9 Aug 2026, 23:362,939+66
7 Aug 2026, 10:062,873+1
7 Aug 2026, 03:152,872no change
7 Aug 2026, 03:092,872first reading

Engagement

5 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.2%
avg views ÷ 3,032 subscribers
Avg views / post
856
5 posts measured
Reaction rate
0.561%
reactions ÷ views · ER floor
Posts in window
5
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held5 (2 August 20265 August 2026)
Views total4,278
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:06 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

24 reactions across 5 posts, in 7 distinct kinds. The most used accounts for 20.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍520.8%
👏520.8%
416.7%
🔥416.7%
🎉312.5%
🥰28.33%
😍14.17%

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 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 24reactions 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 2 August 2026 to 5 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

5 Aug 2026, 13:28 UTC323 views3 reactionsread 7 August 2026
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深圳老师榜 @szlsb 【已验证】😀 📍深圳 #龙华 👤艺名 #七七 💸课费 1200P 2100PP 🏷 【出击日期】: 8月5日 【学生留名】:#猫咪123 【体验细节】:⬇️ 缘起:阴霾里的微光 生活是一场漫长的消磨。距离上次给自己喘息的机会已半月有余,繁重的日常与无休止的琐事像浓雾般压下来,让人在窒息的边缘挣扎。就在这片混沌中,命运彷佛悄悄开了一扇窗——77 的出现,像是一缕投进阴霾里的微光。早就听闻她的种种美好,同伴们的力推与赞赏,更在我心头种下一片期待的种子。算准了日子,提前定下这场相约,只为在疲惫不堪的人生里,向岁月讨一刻属于自己的良辰美景。 初见:雨夜的回眸 那是个微雨交织的午后。细雨斜斜落下,带走都市的喧嚣,却压不住我胸口那股翻涌的燥热。我立于街角静静等待,直到她从车上走下,转身回眸——那一刻,雨声彷佛瞬间褪去。在这个被修图与滤镜堆叠的虚拟时代,她的真实令人动容。她并非那种凌厉耀眼的惊世美女,却有着极其

🎉1👏1😍1

5 Aug 2026, 04:48 UTC≈1,360 views3 reactionsread 7 August 2026
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深圳老师榜 @szlsb 【已验证】😀 📍深圳 #宝安 👤艺名 #豆豆 💸课费 600P 1100PP 3888夜 🏷 【出击日期】: 8月4日 【学生留名】:#戴飞 【体验细节】:⬇️ 看到豆豆老板娘的好评找到的,老板娘让人心痒难耐说豆豆老板娘服务很好很温柔,果断出击,刚好豆豆老板娘这个点空,开车过去到地方了很好停车,豆豆老板娘遥控上楼 进门看到她很漂亮,货真价实,身高1米6这样,24岁左右吧,她温柔的嗓音和俏皮的笑声让我心痒痒,迫不及待交了课费。进浴室,豆豆老板娘主动帮我洗,动作轻柔又撩人,皮肤白得像刚剥壳的荔枝,胸大不大不小且裸身更勾人,臀部翘得让我二弟瞬间起立致敬!洗完她帮我擦干,娇媚地抛个眼神,牵我到床上时我已经欲火焚身。刚躺下,豆豆老板娘像只小野猫般爬上来,贴着我耳边轻喘,看到二弟硬邦邦,她媚笑一声,俯身开舔,舌头灵活得像在跳舞,深浅节奏撩得我魂儿都飞了,毫无齿感,爽到头皮炸裂!她还不时抬头,眼神勾人,像在问我“够不

👍1👏1🔥1

4 Aug 2026, 12:23 UTC435 views4 reactionsread 7 August 2026
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深圳老师榜 @szlsb 【已验证】😀 📍深圳 #龙华 👤艺名 #七七 💸课费 1200P 2100PP 🏷 【出击日期】: 8月3日 【学生留名】:#海绵 【体验细节】:⬇️ 距离上次见七七已经过了十几天,期间七七也有经常聊天,可聊天无法减免彼此的想念,受不了那种别哭我看不到的日子 。直到她一句我到深圳啦,海绵!提前约好了见面,骑上我的小摩托去接她,一眼见到还是那个熟悉的面孔,小小的,瘦瘦的,可爱小女友七七,七七提前就预定了酒店,我们一起去酒店听七七说点了外卖不好吃,我就带着小女友去吃饭啦,在路上七七真的超级调皮,要坐前面,还要自己骑车,不过真的想到了很多以前发生的事情,心里很是惬意。在商场逛了很久很久,七七累了,出商场发现要下雨了,快马加鞭回到酒店看她那可爱的模样,曼妙的身姿我还是没忍住,七七还带了一套情趣内衣,说回家之前就准备好了,心里莫名的高兴,还是老样子,褪去身上衣物,依旧陪洗,来到床前,笨笨的七七的不会穿她自己买的衣

👍2👏1🔥1

3 Aug 2026, 07:10 UTC≈1,070 views7 reactionsread 7 August 2026
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深圳老师榜 @szlsb 【已验证】😀 📍深圳 #龙华 👤艺名 #洋洋 💸课费 1200P 2000PP 4800夜 🏷 【出击日期】: 8月2日 【学生留名】:#Burning 【体验细节】:⬇️ 洋洋属于只要见过一次,便会经常想起的佳人,并会期盼再度望见她澄澈明亮的眼眸、期盼再次聆听她轻柔悦耳的言语、期盼再次续写短暂相逢未尽的故事,再见洋洋时,心动一如当初,粉调平肩碎花上衣搭配牛仔短裤,足下一双粉色平底小皮鞋,柔和色系首尾呼应,衬得双腿愈发修长利落,清甜氛围感扑面而来,相拥热吻,她的小嘴真甜。 我俩都没吃晚饭,本想带她去吃顿我俩都爱吃的海底捞,但我不止低估了龙华的路况,短短的2公里,半小时才到地方,我更是低估了大众对于海底捞的热爱,9点了依然接近50桌的等位,只好寻觅其他美食,同一层兜兜转转,洋洋看到了79“我们去吃海鲜吧,好久没吃了”,看她眼睛放光的样子,谁会忍心拒绝呢,点的都是她爱吃想吃的,静静看着洋洋津津有味的吃着,

3🔥2🥰2

2 Aug 2026, 13:54 UTC≈1,090 views7 reactionsread 7 August 2026
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深圳老师榜 @szlsb 【已验证】😀 📍深圳 #龙华 👤艺名 #洋洋 💸课费 1200P 2000PP 4800夜 🏷 【出击日期】: 8月1日 【学生留名】:#e小弟(翻白眼形态) 【体验细节】:⬇️ 今天本来只想看电影前美美小出个击,突然被告知今晚我的房间被征用了,这只能被迫找个今晚能睡觉的地。我听闻群里的坏人们都喜欢去龙华喝霸王茶姬,便发消息约了课。稍微晚了点,到了地方,映入眼帘的是一位水灵灵的美少女和频道中的她几乎无差,洋洋贴心的为我点了一杯茶姬。上来先拉我入坐,便是报上来亲了一下,还浅浅地伸了舌头,上来就把我干懵了,因为今晚吃的铁板烧怕有味儿所以我有点拘束。平时在线上重拳出击的我面对e人的洋洋我只能是唯唯诺诺了。然后便去洗澡去了,洗干净后回到沙发,稍微聊了聊家常,洋洋打趣我为什么那么羞涩,我感觉到我被她e到紧张了,只能被动应答。一起在沙发上看了会儿电视,又简单聊了聊,洋洋直接坐我身上亲上来了,这一次我知道了什么叫猎人

🎉2👍2👏21

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

Citation-graph rank

Citation-graph rank — 755,962 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

“深圳学院锐评榜 @szlsb” (@szlsb), 3,032 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/szlsb.

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.