🎟 抽奖标题: 每日特惠抽奖 预祝各位新老朋友中奖出击 消耗积分: 5 积分 定时开奖 2026-08-29 17:00:00 参与关键词: 中奖出击找阿杰 已参与: 10人 🎁 奖品列表: Spa项目260体验券 X 1 98场出击补贴150 X 2 98项目100元抵用券 X 5 「乐透抽奖」 每消耗 5 积分 兑换一张乐透券 🎟 可多次参与抽奖提高中奖率 🎉 参与要求: ➕加入 - 无锡夜未央出击指南 ➕加入 - 无锡出击点评榜 ➕加入 - 无锡夜未央分站 └ 💬 发言数大于 2 条

Channel
无锡出击点评榜
@ilovespa66
On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
10,190subscribers
+53 since we began measuring on 20 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002385228028 |
|---|---|
| Type | Channel |
| Username | @ilovespa66 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/ilovespa66 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 04:40 | 10,190 | +22 |
| 5 Sept 2026, 03:39 | 10,168 | +16 |
| 3 Sept 2026, 09:03 | 10,152 | -18 |
| 2 Sept 2026, 04:47 | 10,170 | +14 |
| 1 Sept 2026, 06:35 | 10,156 | -28 |
| 31 Aug 2026, 04:19 | 10,184 | -12 |
| 30 Aug 2026, 01:28 | 10,196 | +5 |
| 29 Aug 2026, 02:06 | 10,191 | -10 |
| 28 Aug 2026, 00:42 | 10,201 | +28 |
| 27 Aug 2026, 03:12 | 10,173 | +23 |
| 26 Aug 2026, 03:34 | 10,150 | -18 |
| 25 Aug 2026, 04:26 | 10,168 | +20 |
| 24 Aug 2026, 03:17 | 10,148 | +6 |
| 22 Aug 2026, 11:38 | 10,142 | +5 |
| 20 Aug 2026, 23:39 | 10,137 | no change |
| 20 Aug 2026, 22:45 | 10,137 | first reading |
Engagement
38 posts held, back to 10 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.78%
- avg views ÷ 10,190 subscribers
- Avg views / post
- 182
- 20 posts measured
- Reaction rate
- 0.96%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 38 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 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 38 (10 July 2026 – 28 August 2026) |
| Views total | 3,632 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 03:44 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.
Reaction mix
93 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 34.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 34.4% | |
| 🔥 | 23 | 24.7% | |
| 🥰 | 13 | 14.0% | |
| 👍 | 12 | 12.9% | |
| 💯 | 9 | 9.68% | |
| 👏 | 4 | 4.30% |
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 15 of the 38 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 93 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 10 July 2026 to 28 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
😀😀😀😀年😀月😀😀号全无锡小圈资料😃😃😃😃😃😃😃 https://c.wss.ink/f/kpya4oecr39 复制链接到浏览器打开 😃😀😃 必吃榜: 曼曼 曦曦 小西 佳佳 莎莎 星星 小景诺 奶盖 月月 丫丫 ,滨湖万达:普通场(初夏) 1,怕侵犯隐私 诺严守客户信息保密,尊重界限 2,怕交易欺诈 诺价格透明,做到无锡上海价格几乎最低 3,怕假照 诺每个上榜ls都做验证,工兵等, 有些瞎搞老板不上榜, 滴! 上班卡 尽量帮客户避免坑,放心cj ,怕恶劣沟通体验 群组 拒绝暴力表达 诺语言礼貌、沟通及时, 正在 5,怕客户体验不好 诺全力做好售前售后,服务到位,从雄大做起,维护客户cj权益、
❤1
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😀😀😀😀年😀月😀😀号全无锡小圈资料😃😃😃😃😃😃😃 https://c.wss.ink/f/kpya4oecr39 复制链接到浏览器打开 😃😀😃 必吃榜: 曼曼 曦曦 小西 佳佳 莎莎 星星 小景诺 奶盖 月月 丫丫 ,滨湖万达:普通场(初夏) 1,怕侵犯隐私 诺严守客户信息保密,尊重界限 2,怕交易欺诈 诺价格透明,做到无锡上海价格几乎最低 3,怕假照 诺每个上榜ls都做验证,工兵等, 有些瞎搞老板不上榜, 滴! 上班卡 尽量帮客户避免坑,放心cj ,怕恶劣沟通体验 群组 拒绝暴力表达 诺语言礼貌、沟通及时, 正在 5,怕客户体验不好 诺全力做好售前售后,服务到位,从雄大做起,维护客户cj权益、
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👍1🔥1🥰1
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Showing the 12 most recent of 38 posts we hold for @ilovespa66. 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
@ilovespa66 edited 8 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
- 21 August 2026
- Most recent edit
- 29 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“无锡出击点评榜” (@ilovespa66), 10,190 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/ilovespa66.
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.