Channel
@TZZD10
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
605subscribers
+22 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003518151611 |
|---|---|
| Type | Channel |
| Username | @TZZD10 |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/TZZD10 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 17:44 | 605 | +3 |
| 16 Aug 2026, 03:05 | 602 | +17 |
| 8 Aug 2026, 13:44 | 585 | +2 |
| 8 Aug 2026, 03:20 | 583 | no change |
| 7 Aug 2026, 17:47 | 583 | first reading |
11 posts held, back to 30 July 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 pageof 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 5 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 11 (30 July 2026 – 7 August 2026) |
| Views total | 1,360 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:20 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.
5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 80.0% | |
| 🥰 | 1 | 20.0% |
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 5 of the 11 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 30 July 2026 to 7 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.
朵朵158/48/C/19歲 嬌小可愛小蘿莉 喜歡COS 超級反差 在床上誘惑力十足 小小粉嫩的一隻讓人很有保護欲 身材有料 貼心好配合 有學校戀愛的感覺 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
沐沐 158/45/B/19歲 青春洋溢的小妹妹 最大的優勢就是年輕啦~ 貧乳搭配白皙骨感身材 柔弱又纖細 可可愛愛 在校也是超多人的小精靈 平時有些小色色 要不要試試看呀 有限期下海喔！ 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
Photo, posted without a caption
葉葉152/40/A/18歲 有喜歡幼齒的清茶嗎 粉色甜心少女 白嫩皮膚 天真可愛 超級敏感而且容易濕 水超多撒嬌~ 可一起泡澡澡LG 69 健談好聊 不趕時間 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
❤1
思妍 170/50/D/25Y 模特兼職 氣質高挑 可愛臉蛋超迷人 骨感但前凸後翹 敏感體質 配合度高 服務熱情主動 情緒價值給的很滿 回頭客老點超多 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
安娜158/45/21歲/E+奶 大奶小隻馬身材絶頂 很乖很萌 可愛 沒有嘗試過性 報班 體驗一下愛愛是什麽感覺 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
潼潼 160cm / C奶 / 20歲 幼教舞蹈老師 從頭到尾都很溫柔 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
❤1
菲兒 160cm 46 C+奶 19歲 暑假兼職學生 俏皮可愛 有哥哥要來調教嗎~ 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
🥀#無照口碑推薦 詩詩｜30歲｜醫院志工 #台北信義 婷婷｜36歲｜兒童陪伴志工 #新竹東區 采蓮｜32歲｜動物救援志工 #台中西屯 語柔｜35歲｜社工志工 #台南北區 佳佳｜32歲｜生態環保志工 #高雄楠梓 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 低價茶單：https://t.me/TZZD6
❤1
沁沁 154.44.B.18歲 三點粉嫩 一線鮑 蘿莉女高 清純可愛 性格腼腆 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 總茶單：https://t.me/bddfsg
🥰1
雪薇 163 48 D+ 30歲 #雙北 6000算5000 少婦 舔吸都配合 大膽敢玩敢秀 姿勢多會教你床上運動 性感火辣 很有禮貌哦 美腿絲襪很誘人 知知TG ：@C36DD 加知知的賴 ：36DD Gleezy：TZZD Gleezy訪客鏈接：https://gleezy.net/txhtct 低價茶單：https://t.me/TZZD6
❤1
Showing the 11 most recent of 11 posts we hold for @TZZD10. 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 — 438,674 of 1,585,237entries 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.
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 4 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“北茶🍵（雙北-新竹）” (@TZZD10), 605 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/TZZD10.
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.