➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: xiaomoqi81692 on lofter 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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Channel
@liuxiao_daily
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
253subscribers
+45 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003989280439 |
|---|---|
| Type | Channel |
| Username | @liuxiao_daily |
| Created | Between 1 April 2026 and 3 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 2 times, most recently 16 September 2026 |
| On Telegram | t.me/liuxiao_daily |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 17:20 | 253 | +16 |
| 31 Aug 2026, 08:54 | 237 | +11 |
| 23 Aug 2026, 10:44 | 226 | +8 |
| 16 Aug 2026, 21:56 | 218 | +10 |
| 9 Aug 2026, 07:53 | 208 | no change |
| 8 Aug 2026, 16:45 | 208 | first reading |
17 posts held, back to 3 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 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 17 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
334 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 30.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5771730275323091266 | 102 | 30.5% | |
| custom 5231347140931909445 | 67 | 20.1% | |
| custom 5364098408183262545 | 42 | 12.6% | |
| custom 5391075888043422500 | 34 | 10.2% | |
| custom 5233336939150596844 | 33 | 9.88% | |
| custom 5339535777980247097 | 31 | 9.28% | |
| custom 5269360350280577193 | 25 | 7.49% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 16 of the 17 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 334 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 3 August 2026 to 8 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.
➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: xiaomoqi81692 on lofter 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
custom 577173027532309126611custom 52333369391505968445custom 53395357779802470975
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➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: dantaaidanhuang on lofter 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: dantaaidanhuang on lofter 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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❌ 😝💛😤😁🤗🤭💛 😤🤗 ❌ ❌ ❌ ❌ ⭐️⭐️ ❌❌❌🙃 A Yuan Daily 🙃 🌿❌❌❌❌❌❌❌❌ ☺️ Канал посвящён А Юаню — ☺️ персонажу из дунхуа ☺️ «Агенты Времени» • Link Click ❌ анон предложка 🤩 вп 🤩 буст 🤩 ❌❌❌😀🫡🤭🤗😳😓 🎀 🌟 Соф — owner 🌟 Ликорис — adm ❌❌❌❌😤😀🤔😓 #official #cosplay #edit #screenshot #translation #тейк #адмтейк etc.
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➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: lumo7965 on lofter 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: tu_k_u on X 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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➛︎ #liuxiao #others #art .𖥔 ݁ ˖ cr: 3809933566 on rednote 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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➛︎ #liuxiao #animation .𖥔 ݁ ˖ cr: hyacinthoides on rednote 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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👻 🤩⁉️ 🤩☺️ссоциируешь себя с персонажем из "агентов времени"? 📸 🤩☺️ашёл схожесть с кем-то из этого дунхуа?🤩🎩 ㅤ 🤩so… заходи к нам!!
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➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: 7749439223 on rednote 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
custom 523333693915059684411custom 52693603502805771935custom 53640984081832625453custom 52313471409319094451
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➛︎ #liuxiao #art .𖥔 ݁ ˖ cr: kobayashigenye on rednote 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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➛︎ #liuxiao #edit .𖥔 ݁ ˖ cr: saes_n on tt 「 ✦ 𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 ✦ 」
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Showing the 12 most recent of 17 posts we hold for @liuxiao_daily. 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.
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.
Named by 2 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.
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.
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.
“⋆.˚⌞𝒍𝒊𝒖 𝒙𝒊𝒂𝒐 𝒅𝒂𝒊𝒍𝒚 + 𝒄𝒇.^^..⌝⋆.˚” (@liuxiao_daily), 253 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/liuxiao_daily.
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.