Telegram RegisterThe public register of Telegram
Telegram profile photo for 深圳学院名师榜

Channel

深圳学院名师榜

@szwww

2 usernames

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

20,896subscribers

+8,876 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001000646826
TypeChannel
Usernames@sz520 @szwww
CreatedBetween 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held59
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/szwww

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 10 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

12,02020,89616,4586 August 2026 — 12,020 subscribers7 August 2026 — 12,126 subscribers8 August 2026 — 12,298 subscribers9 August 2026 — 12,539 subscribers10 August 2026 — 12,747 subscribers11 August 2026 — 12,917 subscribers12 August 2026 — 13,155 subscribers13 August 2026 — 13,299 subscribers14 August 2026 — 13,537 subscribers15 August 2026 — 13,720 subscribers16 August 2026 — 13,883 subscribers16 August 2026 — 13,920 subscribers17 August 2026 — 14,088 subscribers17 August 2026 — 14,115 subscribers18 August 2026 — 14,269 subscribers18 August 2026 — 14,292 subscribers19 August 2026 — 14,462 subscribers19 August 2026 — 14,477 subscribers20 August 2026 — 14,595 subscribers20 August 2026 — 14,646 subscribers21 August 2026 — 14,733 subscribers22 August 2026 — 14,883 subscribers22 August 2026 — 15,023 subscribers24 August 2026 — 15,191 subscribers24 August 2026 — 15,277 subscribers25 August 2026 — 15,412 subscribers25 August 2026 — 15,465 subscribers26 August 2026 — 15,626 subscribers26 August 2026 — 15,676 subscribers27 August 2026 — 15,820 subscribers27 August 2026 — 15,871 subscribers28 August 2026 — 15,993 subscribers28 August 2026 — 16,034 subscribers29 August 2026 — 16,160 subscribers29 August 2026 — 16,182 subscribers30 August 2026 — 16,329 subscribers30 August 2026 — 16,334 subscribers31 August 2026 — 16,547 subscribers31 August 2026 — 16,565 subscribers1 September 2026 — 16,737 subscribers1 September 2026 — 16,756 subscribers2 September 2026 — 16,887 subscribers2 September 2026 — 16,931 subscribers3 September 2026 — 17,251 subscribers3 September 2026 — 17,317 subscribers5 September 2026 — 17,630 subscribers5 September 2026 — 17,809 subscribers8 September 2026 — 18,268 subscribers9 September 2026 — 18,452 subscribers11 September 2026 — 18,937 subscribers11 September 2026 — 19,106 subscribers13 September 2026 — 19,409 subscribers13 September 2026 — 19,550 subscribers14 September 2026 — 19,835 subscribers15 September 2026 — 19,904 subscribers16 September 2026 — 20,240 subscribers17 September 2026 — 20,354 subscribers18 September 2026 — 20,676 subscribers19 September 2026 — 20,896 subscribers6 August 202619 September 2026
59 measurements spanning 44 days, net +8,876. 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 10,689–22,227 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
19 Sept 2026, 17:4220,896+220
18 Sept 2026, 20:5720,676+322
17 Sept 2026, 06:5920,354+114
16 Sept 2026, 16:0020,240+336
15 Sept 2026, 07:0219,904+69
14 Sept 2026, 21:0119,835+285
13 Sept 2026, 16:5619,550+141
13 Sept 2026, 05:2019,409+303
11 Sept 2026, 18:5819,106+169
11 Sept 2026, 04:5718,937+485
9 Sept 2026, 03:2218,452+184
8 Sept 2026, 07:2118,268+459
5 Sept 2026, 17:4217,809+179
5 Sept 2026, 05:3617,630+313
3 Sept 2026, 15:5817,317+66
3 Sept 2026, 09:5817,251+320
2 Sept 2026, 08:0416,931+44
2 Sept 2026, 02:5316,887+131
1 Sept 2026, 08:3616,756+19
1 Sept 2026, 04:5816,737first reading

Engagement

150 posts held, back to 6 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 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.98%
avg views ÷ 20,896 subscribers
Avg views / post
831
51 posts measured
Reaction rate
0.439%
reactions ÷ views · ER floor
Posts in window
51
of 150 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 48 of 51 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 3 September 2026
Posts held150 (6 August 20263 September 2026)
Views total42,403
Reactions total181
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:35 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
11m 01s
Average length
10s

Measured directly from 68 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

503 reactions across 137 posts, in 5 distinct kinds. The most used accounts for 30.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 616113001488135708115130.0%
custom 504419339554783409414929.6%
custom 627593932683661349914629.0%
5611.1%
👏10.199%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 139 of the 150 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 503 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 6 August 2026 to 3 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
6
of 150 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @szwww. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 150 most recent posts we hold for this entry, published 6 August 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

3 Sept 2026, 09:21 UTC76 views3 reactionsread 3 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #南山 👤 名师 #小溪 💸 课费 1500P 2500PP 4500夜 年龄:18 身高:165 体重:86 胸围:B ❤️ 标签⬇️ #高新南站 #舌吻 #六九 #新人 #萝莉 ✈️ 私信 @Jxiaoxi2008👆 查看评价

custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

3 Sept 2026, 08:51 UTC172 views4 reactionsread 3 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #南山 👤 名师 #米修 💸 课费 3500P(2小时) 4500PP (2小时) 年龄:24 身高:168 体重:90 胸围:B ❤️ 标签⬇️ #妈湾站 #SM #圣水 #野战 #潮吹 ✈️ 私信 @mugoumixiu778👆 查看评价

1custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

3 Sept 2026, 08:21 UTC259 views3 reactionsread 3 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #龙岗 👤 名师 #小水 💸 课费 798A 998B ❤️ 标签⬇️ #下沙站 #泡泡浴 #日式按摩 #SPA #抓龙筋 ✈️ 私信 @yhztppy👆 查看评价

custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

3 Sept 2026, 07:51 UTC300 views3 reactionsread 3 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #南山 👤 名师 #泫雅 💸 课费 1000P 1600PP 3500夜 年龄:26 身高:165 体重:95 胸围:C ❤️ 标签⬇️ #南油站 #舌吻 #六九 #车震 #御姐 ✈️ 私信 @xiaomao1166👆 查看评价

custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

2 Sept 2026, 12:53 UTC454 viewsread 2 September 2026
Photo

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_5829115668

2 Sept 2026, 12:53 UTC454 views3 reactionsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #南山 👤 名师 #依琳 💸 课费 700P 1300PP 3500夜 年龄:18 身高:160 体重:90 胸围:C ❤️ 标签⬇️ #高新南站 #六九 #水中潇 #嫩妹 ✈️ 私信 @yilin321👆 查看评价

custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

2 Sept 2026, 11:08 UTC709 views3 reactionsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #坂田 👤 名师 #安安 💸 课费 1200P 2000PP 5000夜 年龄:25 身高:160 体重:94 胸围:C ❤️ 标签⬇️ #岗头站 #舌吻 #六九 #越南人 #御姐 ✈️ 私信 @anan721👆 查看评价

custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

2 Sept 2026, 09:27 UTC756 views7 reactionsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #南山 👤 名师 #七七 💸 课费 1488P 2788PP 年龄:22 身高:165 体重:90 胸围:C ❤️ 标签⬇️ #红树湾站 #舌吻 #六九 #高启兰 #御姐 ✈️ 私信 @Jingjing99910👆 查看评价

custom 50441933955478340943custom 61611300148813570812custom 62759393268366134992

2 Sept 2026, 07:21 UTC914 views6 reactionsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #宝安 👤 名师 #锦鲤 💸 课费 1200P 2200PP 5200夜 年龄:19 身高:162 体重:82 胸围:B ❤️ 标签⬇️ #流塘站 #舌吻 #六九 #甜妹 #嫩妹 ✈️ 私信 @jinlibaobao8👆 查看评价

custom 50441933955478340942custom 61611300148813570812custom 62759393268366134992

2 Sept 2026, 04:04 UTC50 viewsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #罗湖 👤 名师 #樱桃 💸 课费 A1198 B2398 年龄:25 身高:160 体重:98 胸围:C ❤️ 标签⬇️ #深圳北站 #日系润滑 #泡泡浴 #双飞 #抓龙筋 ✈️ 私信 @jkaaa88👆 查看评价

1 Sept 2026, 15:13 UTC792 views4 reactionsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #宝安 👤 名师 #柚子 💸 课费 800P 1400PP 年龄:21 身高:175 体重:110 胸围:C ❤️ 标签⬇️ #宝体站 #舌吻 #六九 #按摩 #嫩妹 ✈️ 私信 @youzi49👆 查看评价

1custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

1 Sept 2026, 10:28 UTC≈1,180 views4 reactionsread 2 September 2026
Photo

❤️ 深圳学院名师榜已验证 👤 📍 深圳 #福田 👤 名师 #楠熙 💸 课费 1000P 1800PP 年龄:23 身高:167 体重:100 胸围:D ❤️ 标签⬇️ #梅村站 #舌吻 #六九 #巨乳 #嫩妹 ✈️ 私信 @iuihhv👆 查看评价

1custom 50441933955478340941custom 61611300148813570811custom 62759393268366134991

Showing the 12 most recent of 150 posts we hold for @szwww. 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 60 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“深圳学院名师榜” (@szwww), 20,896 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/szwww.

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.