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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

55,853subscribers

+3,242 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🌐 硬了么网站:szylm.com 📍 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 live5 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/SZnewls

Growth

52,61155,85354,2326 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 subscribers16 August 2026 — 53,799 subscribers17 August 2026 — 53,868 subscribers18 August 2026 — 53,967 subscribers19 August 2026 — 54,061 subscribers20 August 2026 — 54,162 subscribers21 August 2026 — 54,265 subscribers23 August 2026 — 54,406 subscribers24 August 2026 — 54,555 subscribers25 August 2026 — 54,704 subscribers27 August 2026 — 54,873 subscribers28 August 2026 — 55,040 subscribers29 August 2026 — 55,120 subscribers30 August 2026 — 55,224 subscribers30 August 2026 — 55,287 subscribers1 September 2026 — 55,388 subscribers2 September 2026 — 55,528 subscribers3 September 2026 — 55,652 subscribers5 September 2026 — 55,853 subscribers6 August 20265 September 2026
27 measurements spanning 30 days, net +3,242. 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 52,125–56,339 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
5 Sept 2026, 17:3855,853+201
3 Sept 2026, 13:5655,652+124
2 Sept 2026, 04:3455,528+140
1 Sept 2026, 01:3755,388+101
30 Aug 2026, 23:1755,287+63
30 Aug 2026, 00:3555,224+104
29 Aug 2026, 02:1455,120+80
28 Aug 2026, 04:3555,040+167
27 Aug 2026, 01:1254,873+169
25 Aug 2026, 23:2554,704+149
24 Aug 2026, 20:4654,555+149
23 Aug 2026, 05:2254,406+141
21 Aug 2026, 15:2854,265+103
20 Aug 2026, 15:3554,162+101
19 Aug 2026, 18:2254,061+94
18 Aug 2026, 18:0353,967+99
17 Aug 2026, 20:1553,868+69
16 Aug 2026, 16:5553,799+216
14 Aug 2026, 22:1453,583+126
13 Aug 2026, 11:5853,457first reading

Engagement

157 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.08%
avg views ÷ 55,853 subscribers
Avg views / post
2,280
145 posts measured
Reaction rate
0.046%
reactions ÷ views · ER floor
Posts in window
145
of 157 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 17 of 145 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 September 2026
Posts held157 (6 August 20266 September 2026)
Views total330,163
Reactions total21
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Sept 2026, 10:39 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
4,630
Videos
625
Links
539

Lifetime counters from Telegram’s own channel header, read 6 September 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
10m 06s
Average length
10s

Measured directly from 58 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

21 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 23.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉523.8%
🥰523.8%
👍419.0%
👻29.52%
👾29.52%
❤‍🔥14.76%
🍓14.76%
👏14.76%

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 157 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 157 most recent posts we hold, published 6 August 2026 to 6 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.

Recent posts

6 Sept 2026, 07:02 UTC≈1,100 viewsread 6 September 2026
Photo

📊 10份报告,综合评分8.78 好评 90% |人照8.5 |气质8.68 中评 10% |舒适8.83 |态度9.18 差评 0% |身材8.73 |服务8.38 👧#国宝 🌐#吴中区 📞:点击获取国宝联系方式 🤖:双向联系老师 🏷:#6p #12pp #嫩妹 #舌吻 #鸳鸯浴 #六九 #胸推 #指滑 🐺狼友印象: 👀查看报告 | 🐺添加印象

6 Sept 2026, 06:51 UTC≈1,100 viewsread 6 September 2026
Photo

#广告 昵称:💞#吴江金沙SPA全裸4T💞 坐标:吴江区 简介:💞吴江金沙高端全裸4T💞线下原价599现预约加频道群组来的特价399♥️❣️双飞699快乐加倍❣️ 🍒年龄:18-28🍒 💗服务到位💗颜值可选💗 🌟环镜高端 独立卫浴🌟 🍄所有物品均是一次性用品 🚗免费停车(免费送饮品) ⭐️50分钟限时⏰不限💦次⭐️ 👇服务内容👇 服务流程: 吸皮过💦;漫游;🐍漫;鼻息;毒🐲;💅滑;🐻推;亲咪咪! 👅蛋蛋;猴子偷🍑;高山流水!海底捞🌙;蛟龙出海🐲 最后 胸推🐻 臀推🍑 手推👋 足推,腿夹!可亲可摸!上下可摸,黑丝诱惑……玩法多样化,还有更多花样等你来解🔒!需要妹子穿黑丝提前告知老师! 💞💞安全可靠 私密环境 放心游戏! 💯无套路、明码标价、不办卡、没有任何隐型消费! (客服没回请及时致电)👇👇 预约专属客服:@yunwuSPA 双向机器人:@wujjs668_bot 👥频

6 Sept 2026, 06:10 UTC≈1,150 viewsread 6 September 2026
Photo

📊 51份报告,综合评分9.03 好评 90.2% |人照9 |气质8.96 中评 9.8% |舒适9.19 |态度9.11 差评 0% |身材8.89 |服务9.15 👧#穆娜 🌐#姑苏区 📞:点击获取穆娜联系方式 🤖:双向联系老师 🏷:#6p #11pp #御姐 #毒龙 #六九 #胸推 #指滑 #舌吻 #巨乳 工兵报告1 🐺狼友印象: 👀查看报告 | 🐺添加印象

6 Sept 2026, 05:11 UTC≈1,500 viewsread 6 September 2026
Photo

📊 16份报告,综合评分8.87 好评 93.8% |人照8.81 |气质8.75 中评 6.3% |舒适8.98 |态度9.2 差评 0% |身材8.53 |服务8.94 👧#小柔 🌐#园区 📞:点击获取小柔联系方式 🤖:双向联系老师 🏷:#嫩妹 #6p #10pp #陪浴 #舌吻 #调情 #胸推 #指划 #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

5 Sept 2026, 17:20 UTC549 viewsread 5 September 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

5 Sept 2026, 16:19 UTC910 viewsread 5 September 2026
Photo

📊 32份报告,综合评分9.15 好评 96.9% |人照9.02 |气质9.02 中评 3.1% |舒适9.34 |态度9.31 差评 0% |身材8.94 |服务9.25 👧#玉帝 🌐#园区 📞:点击获取玉帝联系方式 🤖:双向联系老师 🏷:#嫩妹 #15p #27pp #助浴 #水中箫 #指划 #调情 #舌吻 #舔蛋 #深喉 #六九 #毒龙 #回笼箫 #口爆 #毒龙 #足交 #白虎 #部分服务加钱 工兵报告1 🐺狼友印象:#前凸后翘 #大蟒蛇 #少女感 #大白虎 👀查看报告 | 🐺添加印象

5 Sept 2026, 08:09 UTC≈2,370 viewsread 5 September 2026
Photo

📊 52份报告,综合评分8.93 好评 92.3% |人照8.93 |气质9.02 中评 5.8% |舒适9.29 |态度9.29 差评 1.9% |身材8.8 |服务9.27 👧#静嫣 🌐#吴中区 📞:点击获取静嫣联系方式 🤖:双向联系老师 🏷:#6p #11pp #少妇 #胸推 #臀推 #六九 #指滑 #漫游 #深喉 #毒龙 工兵报告1 #差评1 🐺狼友印象: 👀查看报告 | 🐺添加印象

5 Sept 2026, 08:09 UTC≈2,310 viewsread 5 September 2026
Photo

📊 1份报告,综合评分8.92 好评 100% |人照9 |气质9 中评 0% |舒适9 |态度9.5 差评 0% |身材9 |服务8 👧#鹿鹿 🌐#吴江区 📞:点击获取鹿鹿联系方式 🤖:双向联系老师 🏷:#少妇 #6p #12pp #水中萧 #舌吻 #胸推 #六九 #调情 #深喉 #制服丝袜 #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

4 Sept 2026, 14:54 UTC≈3,550 viewsread 5 September 2026
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📊 66份报告,综合评分9.07 好评 95.5% |人照8.87 |气质8.92 中评 4.5% |舒适9.18 |态度9.33 差评 0% |身材8.87 |服务9.24 👧#婉儿 🌐#吴中区 📞:点击获取婉儿联系方式 🤖:双向联系老师 🏷:#6p #12pp #御姐 #六九 #舌吻 #胸推 #毒龙 #漫游 #鸳鸯浴 工兵报告1 工兵报告2 🐺狼友印象:#微肉 #女友感 #大长腿 #服务好 #御姐主动 👀查看报告 | 🐺添加印象

4 Sept 2026, 13:54 UTC≈2,630 viewsread 5 September 2026
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#广告 昵称:💞#相城SPA天花板小泽💞 坐标:相城区 简介:#全裸5推 #纯舌毒龙 #相城天花板 #莞式服务 简介:🔥苏州相城|全裸5T老店🔥出勤人数十多位在线 💰一口价 369(原价499) 👥双人服务+300🕒50分钟|无线火力不限💦次 全裸+手T / 臀T / 毛T / 胸T / 足T/鼻吸👅滑|毒龙|调情互动/上下🉑亲🉑摸|私密莞式体验 科普什么是5T???老师全裸+手推+臀推+毛推+胸推+足推,毒龙等一系列调情服务后选择5T中的一种出水,也可5T全部体验一下,提前跟老师沟通都会满足【老师上下可摸,时间50分钟不限出水 🌟独立卫浴|停车方便 🕒12:00–凌晨2:00 ❤️以上服务全程纯👅,裸毒龙 69是标配 🔥价格破底线 🔥尺度破上限 ☎️预约专属客服:@xcspathb 🤖🤖🤖双向机器人:@xcspat

4 Sept 2026, 04:26 UTC≈2,990 viewsread 4 September 2026
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📊 42份报告,综合评分8.96 好评 92.9% |人照8.66 |气质8.8 中评 7.1% |舒适9.1 |态度9.12 差评 0% |身材8.71 |服务9.27 👧#苏禾 🌐#吴中区 📞:点击获取苏禾联系方式 🤖:双向联系老师 🏷:#6p #11pp #御姐 #舌吻 #巨乳 #毒龙 #胸推 #臀推 #漫游 工兵报告1 工兵报告2 🐺狼友印象: 👀查看报告 | 🐺添加印象

3 Sept 2026, 12:58 UTC≈3,920 viewsread 4 September 2026
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📊 7份报告,综合评分8.83 好评 85.7% |人照8.86 |气质8.81 中评 14.3% |舒适8.96 |态度9.04 差评 0% |身材8.83 |服务8.5 👧#崽崽 🌐#姑苏区 📞:点击获取崽崽联系方式 🤖:双向联系老师 🏷:#嫩妹 #7p #14pp #舌吻 #六九 #制服丝袜 #深喉 #舔蛋 #调情 #陪浴 工兵报告1 工兵报告2 🐺狼友印象: 👀查看报告 | 🐺添加印象

Showing the 12 most recent of 157 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

Mentions

Named by 3 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.

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

“苏州硬了么认证老师榜” (@SZnewls), 55,853 subscribers as measured 5 September 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.