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Telegram profile photo for 油炸🍡

Channel

油炸🍡

@xiao_wanzi_0

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

497subscribers

+69 since we began measuring on 9 October 2026

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

Register entry

Telegram ID-1004375501227
TypeChannel
Username@xiao_wanzi_0
CreatedBetween 1 June 2026 and 10 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 October 2026
Last confirmed live13 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 13 October 2026
On Telegramt.me/xiao_wanzi_0

Growth

428497462.59 October 2026 — 428 subscribers13 October 2026 — 497 subscribers9 October 202613 October 2026
2 measurements spanning 4 days, net +69. 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 418–507 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Oct 2026, 15:37497+69
9 Oct 2026, 21:22428first reading

Engagement

20 posts held, back to 10 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
179.9%
avg views ÷ 497 subscribers
Avg views / post
894
8 posts measured
Reaction rate
0.277%
reactions ÷ views · ER floor
Posts in window
8
of 20 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 6 of 8 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 9 October 2026
Posts held20 (10 September 2026 – 9 October 2026)
Views total7,151
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Oct 2026, 21:22 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

Video runtime
1m 53s
Average length
14s

Measured directly from 8 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

27 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 74.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2074.1%
🔥622.2%
😱13.70%

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 14 of the 20 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 10 September 2026 to 9 October 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

29 Sept 2026, 04:52 UTC≈1,080 views5 reactionsread 9 October 2026
Video

噜噜噜噜噜噜开课😶‍🌫️😶‍🌫️😶‍🌫️

❤4🔥1

20 Sept 2026, 23:01 UTC≈1,380 views1 reactionsread 9 October 2026
Forwarded from @QiangSbotPhoto

【时间】:2026-09-13 【老师】:木木 【留名】:熊大熊大俺是熊二 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:未曾吃过如此甜妹,看照片就是我最爱的那种女孩子,约了三天终于约上尾课pp。 来的路上我一直在想,见面第一句应该说什么,直到开门的那一刻,我大脑放空完全愣住,半天才磕磕巴巴说出,你好。 关上门,嫩妹赶紧拉起我的手坐到沙发上,不好意思拉哥哥,让你久等了,此刻的我口干舌燥,完全不知道说什么,没有一丝调情的想法,仿佛是见到青梅竹马的邻家小妹,只好问,有水吗,我有点渴了,妹妹从冰箱端出青提,哥哥没有水了,我喂你吃这个。 纤细小手捏起一颗便给我嘴里送来,一口咬下脆甜爆汁,口感和眼前的妹妹一样。 赶紧交水费洗澡,妹妹很生疏,我耐心的帮妹妹洗,抹上沐浴露,好香好独特,随后擦干到床上,躺在一起洗洗品尝妹妹的唇,一番蟒蛇后,发现妹妹的唇比刚开始更红了,好像又涂了一遍口红。 赶紧让妹妹帮我服务,…

❤1

20 Sept 2026, 13:02 UTC≈1,180 views0 reactionsread 9 October 2026
Forwarded from @SuzhouSearchbotPhoto

苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-09-20 老师:#木木 留名:眩晕 ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9 舒适度:9 整场综合评分:9 ---【📝服务详情】--- 【过程描述】:和老师约好时间,直接出击到地方后遥控上楼,老师个子小小的比较可爱,老师今天这边没热水了这破房子。不过老师要搬新地方了环境会比这里好。洗澡萌妹三件套,传教士出来了。下次还来推荐 【优点】:会spa按摩 【建议/缺点】:无 【个人评价总结】:推荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang

Showing the 12 most recent of 20 posts we hold for @xiao_wanzi_0. 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.

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 13 October 2026 — this entry's latest reading, not the date you are reading this.

“油炸🍡” (@xiao_wanzi_0), 497 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/xiao_wanzi_0.

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.