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Channel

苏州参考馆

@olddriver_subbb

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

33,692subscribers

+13 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001944679344
TypeChannel
Username@olddriver_subbb
Description群主 @olddriver_sub 找我上榜 @szgod_bot 苏州公榜群 https://t.me/olddriver_szb 我是专属机器人🤖 旗下: 参考 公榜 评价 足浴 色色 五大频道,投稿|投诉提交:时间 地点位置人物 TG号 TG名称 店家商户名 ,消费记录 (账单 导航记录 聊天 支付任意一作为参考) 起因 经过 结果 抓住重点经过简单描述, 我收到会第一时间回复你。感谢信任 愿您我真诚到永远
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/olddriver_subbb

Growth

33,62533,69433,659.57 August 2026 — 33,679 subscribers7 August 2026 — 33,679 subscribers8 August 2026 — 33,662 subscribers9 August 2026 — 33,654 subscribers11 August 2026 — 33,645 subscribers12 August 2026 — 33,653 subscribers13 August 2026 — 33,643 subscribers14 August 2026 — 33,625 subscribers15 August 2026 — 33,628 subscribers17 August 2026 — 33,630 subscribers18 August 2026 — 33,625 subscribers19 August 2026 — 33,629 subscribers20 August 2026 — 33,650 subscribers21 August 2026 — 33,666 subscribers22 August 2026 — 33,690 subscribers24 August 2026 — 33,672 subscribers25 August 2026 — 33,666 subscribers26 August 2026 — 33,665 subscribers27 August 2026 — 33,669 subscribers28 August 2026 — 33,675 subscribers29 August 2026 — 33,671 subscribers30 August 2026 — 33,680 subscribers31 August 2026 — 33,674 subscribers1 September 2026 — 33,684 subscribers3 September 2026 — 33,694 subscribers4 September 2026 — 33,692 subscribers33,6927 August 20264 September 2026
26 measurements spanning 28 days, net +13. 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 33,615–33,704 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
4 Sept 2026, 10:1533,692-2
3 Sept 2026, 00:5433,694+10
1 Sept 2026, 22:3833,684+10
31 Aug 2026, 21:1233,674-6
30 Aug 2026, 20:5733,680+9
29 Aug 2026, 20:3733,671-4
28 Aug 2026, 17:0433,675+6
27 Aug 2026, 13:3333,669+4
26 Aug 2026, 10:1633,665-1
25 Aug 2026, 11:4233,666-6
24 Aug 2026, 14:1533,672-18
22 Aug 2026, 21:0833,690+24
21 Aug 2026, 10:0433,666+16
20 Aug 2026, 12:0233,650+21
19 Aug 2026, 14:2233,629+4
18 Aug 2026, 11:1733,625-5
17 Aug 2026, 11:0733,630+2
15 Aug 2026, 20:4533,628+3
14 Aug 2026, 12:1833,625-18
13 Aug 2026, 04:0433,643first reading

Engagement

45 posts held, back to 23 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.5%
avg views ÷ 33,692 subscribers
Avg views / post
6,580
34 posts measured
Reaction rate
0.208%
reactions ÷ views · ER floor
Posts in window
34
of 45 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 33 of 34 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 4 September 2026
Posts held45 (23 June 20264 September 2026)
Views total223,720
Reactions total451
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 00:25 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
2,990
Videos
221
Links
502

Lifetime counters from Telegram’s own channel header, read 5 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.

Reaction mix

517 reactions across 38 posts, in 13 distinct kinds. The most used accounts for 30.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15830.6%
🤡9518.4%
😱6011.6%
👍5510.6%
🤬346.58%
🖕285.42%
👎244.64%
😁203.87%
🤣163.09%
🔥132.51%
🎉81.55%
🤮50.967%
💯10.193%

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 44 of the 45 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 517 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 23 June 2026 to 4 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

4 Sept 2026, 12:36 UTC≈1,860 views4 reactionsread 5 September 2026
Photo

#理理 @lilideaixin123 这个逼在尹山湖Yangosoho公寓11楼开课,奶子下垂严重,胸前跟挂了两坨肉一样,还没老妈子的胸有弹性,床上机车,干了没两下就说腿麻了,而且唉声叹气很不耐烦,花了钱还要哄着她,很影响心情,后面套子上油蹭完了当她面把套子取下来的,她也知情的,说没有套子,又把那个套子撑开给我戴上,结果跟去过的人说我拔套,她才对我态度不好,我就想说你妈死了,老子刚插上有五分钟吗,就这疼那疼的,我要拔套了她后面还让我接着干吗?信的人也是傻逼,你妈说啥你信啥 你不给我就走了啊,没蛇没69,谁要原价玩你啊 还跟别人说我最后强行要的优惠 不是我跟你商量好的,给了你钱开始做的? 我报告写的哪一条是我造谣? 你奶子没下垂? 奶子下垂严重,胸前跟挂了两坨肉一样,还没老妈子的胸有弹性,床上机车,干了没两下就说腿麻了,而且唉声叹气很不耐烦,花了钱还要哄着她,很影响心情,后面套子上油蹭完了当她面把套子取下来的,她也知

3👍1

4 Sept 2026, 11:52 UTC≈1,980 views2 reactionsread 5 September 2026
Photo

#便宜没好货 #机车 口👄J8不到五秒 #进门出门五分钟,时间媲美站街快餐 #不给换姿势,一个姿势到结束 #小🐔懒不洗澡,编借口找理由物业停水 #我是看群里有人说,他4张优惠一张,想着便宜卸个火,再差能差到哪去。结果进去黑灯没开,直接脱了我的衣服,收了我的钱,然后口了不到5秒钟,就要戴套。我说怎么不洗澡?他说停水了。然后让我站在床边插了几分钟,就结束了。真的进出五分钟。真的是便宜没好货。 #小倩 @zcy8100 #中翔丽晶公寓 27楼

2

2 Sept 2026, 14:19 UTC≈4,200 views7 reactionsread 5 September 2026
Photo

#歪歪 #代聊回复的很官方 #体验过得佐证

🤮52

2 Sept 2026, 14:17 UTC≈4,300 views1 reactionsread 5 September 2026
Photo

#这个妹子大概率是鸡头妹,并且 #精神状态不太正常。我一个月之内一共去过三次,第一次挺好的,各方面都很配合,第二次态度也还行,手臂上缠着纱布,#杀熟, 去过几次熟悉态度就一比吊草 第三次去态度相当糟糕,#全程黑脸,#不能亲#不能碰,#疑是被黄毛男友鸡头控制 手臂上密密麻麻的十道新的刀疤。这妹子估计被黄毛男友压榨太厉害了,自己割了自己,现在精神状态都不太正常了,这样就不能再去给鸡头送钱了。 #歪歪 @waiwai7777777

1

31 Aug 2026, 15:16 UTC≈6,040 views77 reactionsread 5 September 2026
Photo

#宝岛出来的技师 #和小姐妹一起合租套房 #吴中区 #东岸澜庭 # 400 95 BT 半套 中项 #口爆 毒🐉 #宝岛大店出来的技师, 狼友觉得体验不错 推荐发布 宝岛出来的技师 小七七

👍20😁1413🔥13👎9🎉8

29 Aug 2026, 18:00 UTC≈7,470 views1 reactionsread 5 September 2026
Photo

#这个朵朵,看着好评蛮多刷的,真实体验很一般拉胯机车,长相倒是还行,个子高高的,#机车 #催快点射 #让别憋着 #换姿势催 做的时候巴不得客人123快点出货,狼友正常可能20-30分钟的(真不吹牛),然后在她这边,刚做几分钟就想让我射,我想换个姿势,就说怎么还不射,说让我不要忍着快点射?笑了,刚做几下就让我快点射真是没谁了 #朵朵 @duoduoya7890

1

28 Aug 2026, 17:58 UTC≈7,360 viewsread 5 September 2026
Photo

#投个昆山差评苏慕 #硬了么上榜的太垃圾了 #正面时间过短感觉 #我推了一个朋友去你们那也说不怎么样,你们这个价格不低口碑没怎么样啊 #宣传与实际不符, 实际压根不是台妹 #苏慕 @smu008

28 Aug 2026, 02:41 UTC≈7,400 views24 reactionsread 5 September 2026
Photo

#娴娴 #去过的辅证

👎155👍4

Showing the 12 most recent of 45 posts we hold for @olddriver_subbb. 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

@olddriver_subbb edited 2 posts 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
22 August 2026
Most recent edit
30 August 2026

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

“苏州参考馆” (@olddriver_subbb), 33,692 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/olddriver_subbb.

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.