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Channel

施主の化缘记录

@liu950215

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

910subscribers

+0 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002080841361
TypeChannel
Username@liu950215
Description初来电报 巧遇化缘 遂记一二
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live18 August 2026
Measurements held2
On Telegramt.me/liu950215

Growth

91010 Aug 2026, 05:46 — 910 subscribers10 Aug 2026, 06:00 — 910 subscribers10 Aug 2026, 05:4610 Aug 2026, 06:00
2 measurements taken within a single day. 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 909–911 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 06:00910no change
10 Aug 2026, 05:46910first reading

Engagement

10 posts held, back to 13 August 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 5 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
41
Videos
1
Links
12

Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
10s
Average length
10s

Measured directly from 1 video 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

34 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 88.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3088.2%
👍25.88%
💯12.94%
🥰12.94%

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 8 of the 10 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 34reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 13 August 2025 to 5 July 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

5 Jul 2026, 03:29 UTC663 viewsread 10 August 2026
Forwarded from @xinbaopyq

朋友新开的by频道,大家感兴趣的可以关注一手 https://t.me/haitangpyq1

Signed 施主 刘氏(闭关了)

1 Jun 2026, 10:07 UTC≈1,610 viewsread 10 August 2026
Forwarded from @ChunRiQH

原频道主 心碎小猫回来了 大家联系这个号哦她自聊 @Yz020202

Signed 施主 刘氏(闭关了)

12 Apr 2026, 14:17 UTC≈2,840 views2 reactionsread 10 August 2026
Photo

蕾姆卡哇伊呐~! 芯雨宝宝的蕾姆爱了爱了😍 https://t.me/xin_yu888

1💯1

Signed 施主 刘氏(减肥版)

19 Feb 2026, 06:32 UTC≈4,100 views9 reactionsread 10 August 2026
Photo

店名:滨寿司(锦华万达店) 类型:日料 寿司 人均消费:100/人 菜品:9分 服务:7分 推荐指数:8分 个人意见 今天初三,成都天气大好,遂带着母上大人吃饭喝茶一条龙(不要天天窝在麻将馆打牌了!都输两千多了!(≖_≖ ))。 这家“滨寿司”是ly Juno 宝子推荐, 吃了一次后,感觉相当不错,不管是生鱼片还是天妇罗,新鲜是第一位!这家店是一种标准的“日式寿司店”,菜品的新鲜度和呈现方式要优于“上井”“匠和风”之流,属于自家人吃饭推荐去的一家店——菜品好!吃到饱!相对的,装修风格可以说基本没有,作比喻的话。。。日本的大米先生? 所以如果是带妹妹谈恋爱吃漂亮饭,就不推荐了~_(:з」∠)_ PS:吃完饭开车带着母上大人到上次和 #芯雨 宝宝 #芯宝 宝宝 一起喝茶的东门大桥茶铺,喝茶掏耳朵一条龙,今天成都大太阳,还是要出来补补钙✌︎( ᐛ )✌︎

8🥰1

Signed 施主 刘氏(减肥版)

17 Oct 2025, 04:25 UTC≈5,750 views2 reactionsread 10 August 2026

给大家说下! #樱岛麻衣 麻衣宝宝的号炸了 这是新号我报告也会同步更新, @wwwooo7788 !

2

Signed 施主 刘氏(减肥版)

9 Oct 2025, 14:07 UTC≈5,770 views3 reactionsread 10 August 2026
Photo

这是拉面摊地址

3

Signed 施主 刘氏(减肥版)

9 Oct 2025, 14:01 UTC≈5,360 views2 reactionsread 10 August 2026
Photo

好好吃的拉面!他家的糖心蛋好好吃!

2

Signed 施主 刘氏(减肥版)

12 Sept 2025, 14:34 UTC≈14,600 views5 reactionsread 10 August 2026

【妹子花名】:#樱岛麻衣 【妹子车牌】: @wwwooo7788 【验证留名】:施主刘氏 【验证时间】:2025年8月 【所在位置】:自己找的酒店 【修车水费】:22✌🏻 【身高身材】:158 【妹子年龄】: 20 【湿度紧度昆度评分】: 9 【人照相似】:无露脸照片不做评价 【颜值评分】:8 【身材评分】:8 【态度机车评分】:9.5 【女友感评分】:8 【服务评分】:9.5 【性价比评分】:8.5 【综合评分】:8.5 【优点缺点】: 优点:紧实!手感好!有个大屁股!冲起来带劲儿啊! 缺点:有小肚子 【是否值得回锅】:推荐 【推荐程度】:8.5 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】 本来吧 本人已经不打算写报告了,每次写都有人说本人又去碎妹妹了(▼皿▼#) 但是碰巧这次麻衣宝宝是刚上tg,一切都还没有,为了给

5

Signed 施主 刘氏(减肥版)

12 Sept 2025, 13:09 UTC≈5,070 views5 reactionsread 10 August 2026
Photo

店名:潮胜潮汕砂锅粥 人均消费:90 类型:潮汕菜,海鲜粥 推荐指数:8 这家是23年的时候就发现的一家宝藏店,主打的以广东菜和海鲜砂锅粥,基本外地朋友来成都,都会带去吃的一家店。 每次去的时候,得先打个电话问问老板、老板娘在不在,因为老板掌勺,老板娘熬粥,味道要比员工弄的要好(눈_눈) 八月份的时候带着 麻衣宝宝 https://t.me/+Vcg4lNpen2M3Y2Ex 去这里下馆子,时隔一个半月,味道一如既往的维持在标准线以上! 芥兰炒牛肉,牛肉嫩滑入味,芥兰清爽,味道调的刚刚好,基本是每次去必点的菜 爆炒兰花蟹(香辣),今年过年的时候跟家里长辈吃过一次之后,也是必点菜了。味道不似江湖菜的爆辣,辣味更加复合,进口先是调料的香味,然后是辣,最后是螃蟹本身的甜鲜味,可以说是非常下酒的一道菜 海鲜粥就不多说了 每次不是吃完就是打包 ,绝对不会浪费,最喜欢的是海鲜粥打包回家还是温热的时候 边追剧边吃,一大碗分分钟吃完 总结

3👍2

Signed 施主 刘氏(减肥版)

13 Aug 2025, 06:12 UTC≈5,730 views6 reactionsread 10 August 2026
Photo

店名:饕林餐厅 人均消费:80 类型:川菜 推荐指数:4 昨天跟兄弟约酒局,说都要带妹子,遂定了 #小若宝宝 https://t.me/xiaoruopyq 的✌🏻课,等七点过接到若师傅才得知兄弟得先回家打视频报备,9点才能出来(怎一个惨字了得23333333) 趁着还有时间,带着若师傅去民宿附近的饕林解决晚饭,当天我俩都没吃东西😅 饕林在我印象里属于新派川菜馆(基本大菜都看得到自贡菜的影子),这家店以前也吃过几次,感觉还不错。但昨天,体验可以说有点失望! 点了四个菜:番茄炒蛋、凉拌竹笋、招牌鲈鱼、招牌黑豆腐 吃了一圈 最好吃的居然是凉拌竹笋和番茄炒鸡蛋😅 黑豆腐没煮透,汤汁没有入味 鲈鱼更过分,鱼鳞都还有(‵□′) 结果就是,我跟若师傅俩人照着竹笋跟西红柿炒鸡蛋库库干 一句话总结:老店能搞成这样,体验真的不好,个人以后吃川菜会慎重选择的一家店

6

Signed 施主 刘氏

Showing the 10 most recent of 10 posts we hold for @liu950215. 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.

Citation-graph rank

Citation-graph rank — 1,120,248 of 1,549,376entries 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.

Forward network

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.

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

“施主の化缘记录” (@liu950215), 910 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/liu950215.

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.