#米兰 #米兰大教堂 #DuomoMilano #景观餐厅 Terrazza Duomo 21 ☕️ 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
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Channel
@zhaopian
On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
23,242subscribers
-12,658 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001907056756 |
|---|---|
| Type | Channel |
| Username | @zhaopian |
| Description | 收集全网适用素材!🤝 常见与不常见素材!🤝 我们只收集非原创!🤝 推送可能不合时宜!🤝 您可以选择性使用!🤝 分类清晰方便查找!🤝 搜索方法:输入 “#关键词” 需要带上“#”号,例如 #炫富 #美食 #旅游 #豪车 #加拿大 #英国 #曼哈顿 #伦敦 #德国 #新西兰 #法国 #巴黎 #美国 #日本 #韩国 #泰国 #西班牙 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 October 2026 |
| Measurements held | 82 |
| Confirmed unchanged | 1 time, most recently 13 October 2026 |
| On Telegram | t.me/zhaopian |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 69% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
@zhaopian was previously reachable at these 2 handles, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Oct 2026, 19:09 | 23,242 | -56 |
| 10 Oct 2026, 02:00 | 23,298 | -488 |
| 5 Oct 2026, 21:37 | 23,786 | -231 |
| 30 Sept 2026, 15:00 | 24,017 | -1,216 |
| 18 Sept 2026, 02:17 | 25,233 | -209 |
| 16 Sept 2026, 00:37 | 25,442 | -708 |
| 14 Sept 2026, 10:18 | 26,150 | -327 |
| 12 Sept 2026, 23:19 | 26,477 | -1,398 |
| 11 Sept 2026, 02:19 | 27,875 | -559 |
| 8 Sept 2026, 04:57 | 28,434 | -418 |
| 4 Sept 2026, 23:38 | 28,852 | -50 |
| 3 Sept 2026, 17:38 | 28,902 | -38 |
| 3 Sept 2026, 09:17 | 28,940 | -97 |
| 2 Sept 2026, 23:37 | 29,037 | -120 |
| 2 Sept 2026, 08:23 | 29,157 | -104 |
| 2 Sept 2026, 00:44 | 29,261 | -87 |
| 1 Sept 2026, 20:27 | 29,348 | -17 |
| 1 Sept 2026, 08:36 | 29,365 | -154 |
| 31 Aug 2026, 21:13 | 29,519 | -2 |
| 31 Aug 2026, 19:55 | 29,521 | first reading |
225 posts held, back to 6 August 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 95 pages of Telegram’s post history, 20 posts per page.
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 73 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 October 2026 |
|---|---|
| Posts held | 225 (6 August 2026 – 13 October 2026) |
| Views total | 8,185 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 08:26 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.
Lifetime counters from Telegram’s own channel header, read 14 October 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.
Measured directly from 83 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.
22 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 81.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 81.8% | |
| 💩 | 2 | 9.09% | |
| 😁 | 2 | 9.09% |
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 21 of the 225 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 225 most recent posts we hold, published 6 August 2026 to 13 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.
#米兰 #米兰大教堂 #DuomoMilano #景观餐厅 Terrazza Duomo 21 ☕️ 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
❤2
#台北 #酒吧 #居酒屋 #台北101 🍻台北酒吧推荐“吧沐BarMood”酒单很用心,还喝的到很多台湾元素,比如马告、九层塔元素入酒,酒感丰富层次明显! 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
是在脆上的人氣小店 power beef很好吃!環境也很舒適 算下來大約是100hkd一碗~ 但牛肉品質相當好!很香很香 朋友點了三色don飯,遺憾的是海膽品質似乎一般般~ 這家最好要預約呢,落地當天就急急忙忙打電話,沒想到運氣就是這麼好給我們吃上了嘻嘻。 #台灣 #日式料理 #臺北 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#台灣 #台北 #日料 隆居酒屋 📍 10491台灣臺北市中山區正義里林森北路145巷23號 其中我最喜歡的是他家的沖繩炒苦瓜🍳,苦瓜甘甜、脆脆的,還加上豚肉一起炒,肉油香令炒蛋不太乾,這道真的令我跟朋友超驚喜🥹!! 串燒則點了雞翼烤明太子🍗,雞翼皮燒得很香脆,中間釀着明太子饀料,裏面保留着滿滿的肉汁!月見雞肉丸子的口感就比較扎實,但我個人自己比較喜歡肉質蓬鬆。 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#日本 #福冈 #日本料理 #鱿鱼刺身 必点的是鱿鱼刺身🧡🧡(就从外面的池子来抓出来的很新鲜)可以按照人数选克重,一鱼两吃!我选的第二种是烤的也很好吃,还有点生鱼片跟红酒炖和牛也不错。 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
每次来都会吃肉拼盘,sadaki虽然是法餐但份量特别实在,想吃肉的时候就会来急头白脸吃一顿拼盘,吃撑了还能剩一半打包回去第二天接着吃。前菜的炖牛肚和レバーコンフィ也实在太好吃,每次来都会选,爱吃脏器的一定会喜欢。海老と木の子のアヒージョ配上烤得酥脆的法棍,不用多说有多美味了,一定要配上里面的蒜片一起吃,香。 📍Sadaki Deli #日本 #东京 #法餐 #bistro 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#日本 #天妇罗 老爷爷真是很有腔调,天妇罗🍤点单后都是老爷爷现炸的,面衣很薄,大虾特别新鲜,还有和牛天妇罗,牛肉品质很好,就是有点太腻了,芝士猪肉卷也超级好吃!!蘸萝卜酱油太美味了! 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#英国 🇬🇧 #伦敦 #日常 #喝酒 The Albatross Pub Wild Group旗下较casual的新店 附近下班的人西装革履总来喝一杯 风格更粗犷 定位是英式海鲜配啤酒 活帝王蟹六七斤重 很鲜甜的简单处理 开业两周来我们是第一桌点整蟹的客人 后半夜爵士乐伴奏 氛围蛮好的一个pub 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#埃及 #开罗 📍 Eldahan zayed الدهان للمشويات الشيخ زايد Elmahmour, Al Giza, Giza Governorate 3230055埃及 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#埃及 #宝藏餐厅 我们点了🐂牛肉塔吉锅的套餐 有粉饭和一个蔬菜锅,还点了一个🐟鱼块套餐 我喜欢这个套餐里面的饭,饮料两个都很喜欢!非常合适逛完神庙喝,一个是超纯的芒果汁另外一个是柠檬薄荷,两个很赞很赞的。 📍Old Nubian Guest House Philae & Restaurant 2VJM+GRX, Aswan 1, البحر الأحمر 1241330埃及 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#埃及 #赫尔格达 📝点单🥣海鲜汤 好吃!热乎乎很舒服啊 而且料足!🐟烤鱼 好吃!!!!鱼新鲜!进门那里选鱼选做法的!🦪番茄煮青口贝 一般不好吃看图盲点的🍋lemonmint 柠檬薄荷很赞!📍 Al Halaka Fish Restaurant مطعم أسماك الحلقة حلقة السمك، بجوار مسجد الميناء أمام, Hurghada 1, Red Sea Governorate埃及 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
#宅家 #聚餐 #日常 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian
Showing the 12 most recent of 225 posts we hold for @zhaopian. 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.
Named by 54 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@zhaopian named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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.
“东南亚素材库” (@zhaopian), 23,242 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/zhaopian.
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.