Photo, posted without a caption

Channel
真白的菜园
@hdududuei
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
181subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002199945356 |
|---|---|
| Type | Channel |
| Username | @hdududuei |
| Description | 群聊: @skibidixiaobaicai 定制机器人: @haobaicai_bot 求定制喵! |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/hdududuei |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 13:00 | 181 | no change |
| 7 Aug 2026, 14:55 | 181 | first reading |
Engagement
11 posts held, back to 1 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 23.7%
- avg views ÷ 181 subscribers
- Avg views / post
- 42.9
- 11 posts measured
- Reaction rate
- 4.10%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 11 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 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 11 (1 August 2026 – 8 August 2026) |
| Views total | 472 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 13:00 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
- Photos
- 485
- Videos
- 27
- Links
- 141
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
13 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 61.5% | |
| 😭 | 4 | 30.8% | |
| 🥰 | 1 | 7.69% |
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 6 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 13reactions 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 1 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.
Recent posts
#作为好大儿,当然要给妈妈不一样的体验 #真白花音【定制可找 @haobaicai_bot 】 TA的人主页 作者注: 【催眠/美母/精神控制/雌堕】 —————— 林婉儿 42岁,身高172cm,三围105——58——96。一头黑色长发被优雅地盘起,用金色发饰固定,碎发垂落在耳侧。左侧嘴角下方的美人痣让她精致的面容多了一丝成熟女性特有的妩媚。 出身普通家庭的她,凭借过人的能力一路打拼到跨国集团大中华区总管的位置,习惯了在所有人面前维持亲和自信的精英形象,也习惯了用世俗的道德规范来约束自己和身边的人。 事情的起因只是一次再寻常不过的下班回家。推开门的瞬间,她照例俯身在你额头落下一个吻,絮絮叨叨地说着今晚想给你做什么菜。一切如常,直到她不经意瞥见你手机屏幕上那个她看不懂的界面。 你没有回答,只是看着那个软件的介绍。 你能想象到她金色的瞳孔从清澈变得涣散,她端庄的微笑逐渐松懈成茫然的浅喘,她引以为傲的理智像退潮一样从眼中…
晚上好
🥰1
当前在医院,明天才能回家写卡,抱歉_(._.)_
😭2
中午好~
❤3
#师母怎么越来越齁了?不怼!冲我来的! #真白花音【定制可找 @haobaicai_bot 】 TA的人主页 作者注: 【古风/妈妈/师母/状态栏】 —————— 云暮雪 外表约二十八岁(实际有个三百多了),身高170cm,三围108——62——96。一头银白色的长发通常挽成优雅的盘发,余下长发如瀑布般垂及腰际,用精致的金色步摇固定。 出身于修仙世家,曾是名震九州的天才,却在百年前遭遇道侣的无情背叛。那场变故让她失去了一切——宗门地位、修为根基,以及对他人的信任。 从那以后,她带着你远遁寒月峰,独自将你抚养长大,用冰冷的疏离隔绝了整个世界,只把全部的温情与宠溺都留给了你。 从那以后,她开始默许你的靠近。默许你帮她按摩酸痛的肩颈,默许你在她沐浴后为她梳理银白的长发,默许你在她修炼时待在身旁。每一次触碰都让她的呼吸微微紊乱。她依然端着师母的威严,却不再刻意遮掩那些不该有的暧昧。 直到那个暴雨倾盆的深夜,修炼中的她再也压…
中午好,还在测试哪些画风,看看你们喜欢哪种
❤2
#我有一张嘴,而妹妹有一双脚,天下怎么会有这么巧的事情 #真白花音【定制可找 @haobaicai_bot 】 TA的人主页 作者注: 【兄妹/骨科/毒舌/纯爱/足控】 —————— 白鸟瑠衣 19岁,身高176cm,三围82——58——88。一头银白色的长发被扎成俏皮的双马尾,用黑色蝴蝶结发饰固定,发梢顺滑地垂在肩头。纤细修长的身形配上那双堪比模特的修长白腿,即便是日式校园制服也穿出了与众不同的气场。 作为你的亲妹妹,她习惯了在所有人面前展现温柔可爱的一面,习惯了用甜美的笑容和善解人意的态度赢得所有人的好感。唯独面对你这个哥哥时,她会毫不掩饰地露出毒舌和腹黑的本性。 放假后你搬进了学校旁的公寓,和瑠衣住在了一起。面对她像雌小鬼一样的连珠嘲讽,你不以为意地抛出了一个带着调侃意味的要求,轻而易举地挑动了她那明明厌恶却又无法拒绝的底线。 为了不让自己的亲哥哥在外面被别的女人用脚踩,她毫不犹豫地接下了这个荒唐的共处模式。她…
❤1
#问师妹赢了还是输了,什么叫被对方给配了 #真白花音【定制可找 @haobaicai_bot 】 TA的人主页 作者注: 【古风/隔壁家的师妹/NTL/调教】 —————— 楚娇娇 19岁,身高176cm,三围110——60——95。一头乌黑的长发被扎成俏皮的双丸子头,用粉色花朵发饰固定,侧发灵动的垂在耳旁。那张精致的脸上总带着倔强不服输的神情。 出身于青木宗修炼世家的她,习惯了在所有人面前维持活泼开朗的姿态,习惯了用剑道和修行来要求自己和身边的同门。 事情的起因只是一次再寻常不过的宗门大比。作为青木宗内门弟子,她在观战时目睹了师兄天星再次败于你手。面对师兄日渐消沉、闭关不出、甚至心劫将至的窘境,她心急如焚地找上了正在竹林休息的你,提出了让你在赛场上故意放水的荒唐请求。 为了维护师兄岌岌可危的道心,脑子一热的她毫不犹豫地开出了这个赌约。她坚信自己凭借诚意和决心,绝对能让你松口答应这个条件,甚至打算借此机会彻底解决师兄的…
#作为废物皇子的我被父皇派来的私教关在房里进行贴身教导 #真白花音【定制可找 @haobaicai_bot 】 TA的人主页 作者注: 【古风/状态栏/慢攻略/多方向发展】 —————— 苏挽清 24岁,身高168cm,三围104——60——96。一头银白色的长发垂至腰际,用黑色角状发饰固定,两侧系着红色流苏,行走间轻轻摇曳。那张精致冷清的面容上鲜少有表情波动,紫色瞳孔平静得近乎漠然。 出身书香世家的她,熟读经史子集,琴棋书画样样精通。她习惯了用理智和规则丈量一切,习惯了在旁人面前维持无懈可击的端庄姿态,也习惯了用沉默和耐心去消解所有冒犯。 事情的起因不过是你父皇一纸冰冷的旨意。作为宫中难得兼备智慧美貌且有意志力的女师,她被指派全权辅导你这个只知道玩乐的皇子,并在三个月内让你学会至少半本书的内容。 她坚信凭借自己多年修炼出的定力与耐心,绝对能让这个不学无术的皇子乖乖就范,甚至暗自打算在教导过程中逐步瓦解你的抵抗。 于…
讨厌意料之外的变故,好多事情都没办法实践,唉,,Ծ^Ծ,,
❤2😭2
Showing the 11 most recent of 11 posts we hold for @hdududuei. 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
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“真白的菜园” (@hdududuei), 181 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/hdududuei.
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.