Channel
@dianzangliwu
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
106subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002496389972 |
|---|---|
| Type | Channel |
| Username | @dianzangliwu |
| Created | 30 June 2025 — measured — dated from the channel’s first post |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/dianzangliwu |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 14:18 | 106 | -1 |
| 30 Aug 2026, 15:34 | 107 | -1 |
| 23 Aug 2026, 07:24 | 108 | +1 |
| 15 Aug 2026, 20:57 | 107 | -2 |
| 9 Aug 2026, 07:46 | 109 | no change |
| 7 Aug 2026, 12:47 | 109 | first reading |
4 posts held, back to 30 June 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 30 March 2026. An engagement rate over an empty window would be a number about nothing.
116 reactions across 3 posts, in 11 distinct kinds. The most used accounts for 39.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 46 | 39.7% | |
| 👍 | 18 | 15.5% | |
| 💋 | 10 | 8.62% | |
| 🥰 | 10 | 8.62% | |
| 🍌 | 8 | 6.90% | |
| 👎 | 6 | 5.17% | |
| 🔥 | 5 | 4.31% | |
| 🎄 | 4 | 3.45% | |
| 💘 | 4 | 3.45% | |
| 😎 | 3 | 2.59% | |
| 😁 | 2 | 1.72% |
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 3 of the 4 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 116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 30 June 2025 to 30 March 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.
🎁典藏礼物有什么用处？ 📣典藏礼物可以佩戴，转让，赠送，出售。甚至还有升值空间🛫。 📣每个礼物都有自己的编号，型号，背景颜色，也可成为防伪标志，佩戴在飞机尾巴后面。 🎉一个礼物为什么有不同的价格？ 【比如一只狗，最便宜的几U，最贵的几十U几百U】 😘礼物本身的颜色会决定价格 😘礼物背景颜色会决定价格 😘礼物的稀有度会决定价格 😘编号 会决定价格 📤礼物置顶教程： 个人主页➡️点击礼物➡️长按点击置顶，可以同时置顶6个礼物
❤7
永恒玫瑰🌹 桃子🍑 青蛙🐸pepe🐸 受惊的猫😺 丘比特锁❤️ 小狗🎁 礼品袋🎁 史努比雪茄🎁 手掌🎁 汽车🎁 礼盒🗃 纸杯蛋糕🧁 情人节礼盒🍫 骷髅花💀 小火箭🚀 快乐的猴子🐒 月亮吊坠🌙 吹风筒💨 手臂🤣 工匠砖🧱🤣 输入键🤣 三叶草🧷🎁 高跟鞋👠 袜子🧦 宠物篮子🐰 冰淇淋🍦 大便💩 方便面🍽 城堡🎁 慕斯蛋糕🎂 闪亮小熊🍼 钱罐🍀 漂亮花束💐 哈比布帽子🎁 UFC🥊 飞鸟🦅 胜利勋章🏅 书包🎒 游泳浮具🎈 书📚 📕 火炬🎁 冰淇淋🍦 冲浪板🎁 自由女神🗽 眼镜🕶 笔🖊️🎁 以上总共118款典藏礼物🎁 代购联系 @ml10086 更新于2026-08-06
❤10🍌8🥰5🎄4💘4👍3
女巫帽 🎩 圣诞花圈🎄 巫毒娃娃📍 小红花🌸 圣诞雪橇铃🔔 唱片机🎵 蛇年大吉🐍 糖果手杖🍭 电动头颅💀 马塔蛋🥚 雪花水晶球🏡 机车头盔🏍 钻戒💎 魔法药水 ❤️ 玩具熊🧸 包包🎁 魔法扫帚🧹 旋转棒棒糖🎁 瑞士手表⌚️小星星 ⭐️ 度洛夫帽子🧢 复古雪茄🚬 魔术帽🎩 Dj蘑菇🍄 魔法书🗒 受困的心🖤 香料酒🍹 针织手套🎁 徽章戒指💍 调皮舌头👄 香水🎁 奥斯卡小金人🏆 爱情魔药🧪 爱情蜡烛🕯 疯狂南瓜🙂 催眠棒糖🍭 小丑帽🎩 铃儿响叮当🔔 离子宝石💎 果冻兔子🐰 星界碎片💎 派对烟花🎇 杰克盒子🤡 兔子松饼🧁 拉丁神灯🧞♂️ 生日蜡烛🕯 浆果盒🍓 头颅水晶球🔮 亲吻青蛙🐸 邪恶之眼👁 圣诞帽🎅 日历🗓 姜饼👋 饼干心🍪 六角罐🍵 双层蛋糕🎂 永恒蜡烛🕯 复活节彩蛋🥚 圣诞袜🎁 蛇盒🐍 大年款式🎁 小蛇🐍 激光剑🗡…
❤29👍15💋10👎6🔥5🥰5😎3😁2
Channel created
Showing the 4 most recent of 4 posts we hold for @dianzangliwu. 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 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.
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“典藏礼物样式大全” (@dianzangliwu), 106 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/dianzangliwu.
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.