Telegram RegisterThe public register of Telegram

Channel

苏州硬了么认证老师榜

@SZnewls

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

53,583subscribers

+972 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-1002460327295
TypeChannel
Username@SZnewls
Description📍 本频道每日更新苏州本地优质老师 👩 图文展示 + 价格 + 项目 + 联系方式 🧾 同步体验报告见: @SZZZJreport 📢 进群互动 → @SuZhoulang 苏州热花魁榜: @suzhourere 硬了么不敢承诺零踩雷,但我们一直在做的,就是尽量让你在百人斩的途中,99次都能安全下车。
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/SZnewls

Growth

52,61153,58353,0976 August 2026 — 52,611 subscribers7 August 2026 — 52,750 subscribers8 August 2026 — 52,861 subscribers9 August 2026 — 52,958 subscribers10 August 2026 — 53,059 subscribers11 August 2026 — 53,222 subscribers12 August 2026 — 53,392 subscribers13 August 2026 — 53,457 subscribers14 August 2026 — 53,583 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +972. 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 52,465–53,729 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:1453,583+126
13 Aug 2026, 11:5853,457+65
12 Aug 2026, 12:0453,392+170
11 Aug 2026, 11:5353,222+163
10 Aug 2026, 13:0253,059+101
9 Aug 2026, 12:3452,958+97
8 Aug 2026, 12:0352,861+111
7 Aug 2026, 11:3252,750+139
6 Aug 2026, 20:1652,611first reading

Engagement

47 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 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.27%
avg views ÷ 53,583 subscribers
Avg views / post
2,290
47 posts measured
Reaction rate
0.05%
reactions ÷ views · ER floor
Posts in window
47
of 47 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 3 of 47 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 15 August 2026
Posts held47 (6 August 202615 August 2026)
Views total107,622
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 12:44 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
4,580
Videos
612
Links
559

Lifetime counters from Telegram’s own channel header, read 15 August 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
2m 17s
Average length
9s

Measured directly from 15 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

3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👻266.7%
👾133.3%

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 3 of the 47 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 09:51 UTC996 viewsread 15 August 2026
Photo

📊 13份报告,综合评分8.99 好评 100% |人照8.88 |气质8.92 中评 0% |舒适8.96 |态度9.12 差评 0% |身材8.92 |服务9.12 👧#琳琳 🌐#吴中区 📞:点击获取琳琳联系方式 🤖:双向联系老师 🏷:#御姐 #6p #12pp #舌吻 #六九 #毒龙 #胸推 #臀推 #指划 #陪浴 #包夜 工兵报告1 🐺狼友印象: 👀查看报告 | 🐺添加印象

15 Aug 2026, 01:32 UTC≈2,500 viewsread 15 August 2026
Photo

📊 2份报告,综合评分8.88 好评 100% |人照8.55 |气质9 中评 0% |舒适9 |态度9.1 差评 0% |身材9 |服务8.65 👧#美羊羊 🌐#姑苏区 📞:点击获取美羊羊联系方式 🤖:双向联系老师 🏷:#嫩妹 #6p #12pp #鸳鸯浴 #调情 #舔蛋 #深喉 #六九 #制服丝袜 #胸推 #臀推 #水中箫 工兵报告1 工兵报告2 🐺狼友印象: 👀查看报告 | 🐺添加印象

14 Aug 2026, 17:20 UTC≈3,450 viewsread 15 August 2026
Photo

😤打了一辈子工!我现在就要找个老师放松一下! 📝点击下方按钮快速跳转 📬其他任何问题请联系管理员

14 Aug 2026, 16:48 UTC≈2,800 viewsread 15 August 2026
Photo

📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#小馨 🌐#吴中区 📞:点击获取小馨联系方式 🤖:双向联系老师 🏷:#嫩妹 #6p #12pp #舌吻 #六九 #胸推 #水中萧 #制服丝袜 #bbw 工兵报告1 🐺狼友印象: 👀查看报告 | 🐺添加印象

14 Aug 2026, 16:23 UTC≈2,820 viewsread 15 August 2026
Photo

📊 20份报告,综合评分8.82 好评 85% |人照8.98 |气质8.88 中评 15% |舒适8.98 |态度8.48 差评 0% |身材9.06 |服务8.56 👧#甜甜妹 🌐#相城区 📞:点击获取甜甜妹联系方式 🤖:双向联系老师 🏷:#6p #12pp #嫩妹 #舌吻 #六九 #鸳鸯浴 工兵报告1 工兵报告2 🐺狼友印象: 👀查看报告 | 🐺添加印象

14 Aug 2026, 09:36 UTC≈2,460 viewsread 15 August 2026
Photo

📊 7份报告,综合评分8.77 好评 100% |人照8.83 |气质8.36 中评 0% |舒适8.97 |态度9.07 差评 0% |身材8.69 |服务8.69 👧#晚晚 🌐#园区 📞:点击获取晚晚联系方式 🤖:双向联系老师 🏷:#嫩妹 #7p #13pp #舌吻 #六九 #水中萧 #胸推 #制服丝袜 #漫游 #鸳鸯浴 工兵报告1 工兵报告2 🐺狼友印象: 👀查看报告 | 🐺添加印象

14 Aug 2026, 09:28 UTC≈2,320 viewsread 15 August 2026
Photo

#广告 昵称:💞#吴中郭巷全裸6T💞 坐标:吴中区 简介:油压SPA 全裸6T 《主打高颜值》 原价1899老店新开业特惠国补1000省补500店补49全新团入驻活动再次优惠50,价格300,限时一个星期 🐻胸推🦵腿推🐬臀推👋手推 🌝毛推⛸足推《出水方式》 项目流程: 📌鼻息 指划 胸划 过水 吸皮 📌翻身毒龙 胯下游龙 📌海底捞月 高山流水 🩷可摸🩷 时间:50分钟不限次 💯无套路、明码标价、不办卡、没有任何隐型消费!安全可靠 私密环境 放心游戏 22-28之间!五位在岗 联系客服:@meng2099 频道: @msy9527 群组: @mengshengyuan666 微信:HHW2002W 营业时间中午12:00-晚上2:00 硬了么认证 · 品质严选会所 🚀私密放飞 🔥服务火热 ✔️卫生干净 🥰 尺度全开 ❤️定制所欲 🫶氛围到位 ☎️预约专属客服:@me

14 Aug 2026, 09:08 UTC≈1,150 views0 reactionsread 14 August 2026
Photo

📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#小酒窝 🌐#姑苏区 📞:点击获取小酒窝联系方式 🤖:双向联系老师 🏷:#御姐 #7p #14pp #舌吻 #六九 #舔蛋 #水中萧 #制服丝袜 工兵报告1 🐺狼友印象: 👀查看报告 | 🐺添加印象

13 Aug 2026, 17:20 UTC≈3,480 viewsread 14 August 2026
Photo

😤打了一辈子工!我现在就要找个老师放松一下! 📝点击下方按钮快速跳转 📬其他任何问题请联系管理员

13 Aug 2026, 16:35 UTC≈2,960 viewsread 14 August 2026
Photo

📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#鑫冉 🌐#吴中区 📞:点击获取鑫冉联系方式 🤖:双向联系老师 🏷:#御姐 #6p #12pp #陪浴 #舌吻 #舔蛋 #胸推 #臀推 #六九 #水中萧 #按摩 #吸皮 #指划 工兵报告1 🐺狼友印象: 👀查看报告 | 🐺添加印象

13 Aug 2026, 06:58 UTC≈3,000 viewsread 14 August 2026
Photo

📊 5份报告,综合评分8.56 好评 80% |人照8.8 |气质8.4 中评 20% |舒适8.6 |态度8.6 差评 0% |身材8.46 |服务8.5 👧#瑶一瑶 🌐#姑苏区 📞:点击获取瑶一瑶联系方式 🤖:双向联系老师 🏷:#嫩妹 #6p #12pp #舌吻 #鸳鸯浴 #调情 #制服丝袜 工兵报告1 工兵报告2 🐺狼友印象: 👀查看报告 | 🐺添加印象

13 Aug 2026, 05:56 UTC≈3,070 viewsread 14 August 2026
Photo

📊 29份报告,综合评分9.06 好评 93.1% |人照8.8 |气质8.84 中评 6.9% |舒适9.22 |态度9.28 差评 0% |身材8.98 |服务9.26 👧#童童 🌐#相城区 📞:点击获取童童联系方式 🤖:双向联系老师 🏷:#6p #12pp #御姐 #舌吻 #胸推 #六九 #臀推 #水中萧 #漫游 #鸳鸯浴 工兵报告1 🐺狼友印象: 👀查看报告 | 🐺添加印象

Showing the 12 most recent of 47 posts we hold for @SZnewls. 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

@SZnewls 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
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 350,580 of 1,478,351entries 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 2 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.

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

“苏州硬了么认证老师榜” (@SZnewls), 53,583 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/SZnewls.

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.