Telegram RegisterThe public register of Telegram

Channel

童话心事

@doudouya52520

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,112subscribers

+16 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004341049481
TypeChannel
Username@doudouya52520
CreatedBetween 1 June 2026 and 30 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/doudouya52520

Growth

1,0961,1121,1046 August 2026 — 1,096 subscribers7 August 2026 — 1,098 subscribers10 August 2026 — 1,111 subscribers13 August 2026 — 1,112 subscribers6 August 202613 August 2026
4 measurements spanning 6 days, net +16. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,094–1,114 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:331,112+1
10 Aug 2026, 02:021,111+13
7 Aug 2026, 01:461,098+2
6 Aug 2026, 20:181,096first reading

Engagement

16 posts held, back to 30 July 2026the 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
60.6%
avg views ÷ 1,112 subscribers
Avg views / post
674
15 posts measured
Reaction rate
0.186%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 4 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held16 (30 July 20266 August 2026)
Views total10,106
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:18 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.

Reaction mix

5 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5100.0%

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 4 of the 16 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 16 most recent posts we hold, published 30 July 2026 to 6 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

6 Aug 2026, 15:40 UTC61 viewsread 6 August 2026

【艺名】:#花花 【价格】:1300 【位置】:静安 【联系方式】:@doudouya52 【身材样貌】: 裸高172,非常耐看,也很健谈 【服务过程】:上门的,原本是打算p的,见到本人的第一眼就决定pp了,04年的,很开朗也很年轻,有耐心,绝对是值得回头的,会在约,挺好的妹子,不知道为什么评价这么少 标签: @doudouya52 #花花 1300p #闵行 点击跳转原始报告【需先加群】 反馈狼友: 👍🫁壬 时间:2026-08-06 23:39:17 报告ID:16604 当前进度:1/7

5 Aug 2026, 05:06 UTCviews —

童话心事 pinned «【艺名】:#花花 【价格】:1300 【位置】:静安 【联系方式】:@doudouya52 【身材样貌】:175,模特身材,D罩杯大灯,课室干净好找 【服务过程】:约好时间,天气哗哗下雨,地面湿漉漉的,进门映入眼帘的是175的模特身材,大长腿,最吸引眼球的是她那个D罩杯的灯,E人一个,非常的健谈,不会让你感觉到尴尬,LS还是大学生,来上海短暂停留,年轻就是好,皮肤非常的嫩,ls进行水中萧,等不急的进去卧室进行传教士,老弟进去一股热流涌动,紧的不得了,搞得老夫差点射点,侧方位停车,后入激战一会,123洗漱撤退,完美的体验。…»

3 Aug 2026, 10:55 UTC347 views2 reactionsread 6 August 2026
Forwarded from @hxshyxPhoto

🥐艺名: 花花吖 🤗年龄: 05身高 : 173体重 :45 熊:C 📍位置: 普陀 💸价格: 1300p/50min 2300pp/90min 👩‍🎓标签:舌吻69#陪浴#无套口#jk丝袜 🥂联系老师: @doudouya52 💓老师频道: https://t.me/doudouya52520 韩信上海备用榜:https://t.me/shhxyxb 韩信上海优选榜:@hxshyx 韩信上海精选榜:@hxshjxb 上海外围大⭕️:@ccxkshww

2

1 Aug 2026, 15:50 UTC797 views1 reactionsread 6 August 2026

【艺名】:#花花 【价格】:5000包夜 【位置】:上门 【联系方式】:@doudouya52 【身材样貌】:172身高 c罩杯 皮肤很滑 【服务过程】:老师酒店上门的、本来约的2次、看到真人直接商量包夜。172的模特身材,大长腿、腿又细又长、非常的健谈,大学生、皮肤非常的嫩,很嫩很润。冲就完了、老师短暂停留!抓紧 标签: @doudouya52 #花花 1300p #普陀 点击跳转原始报告【需先加群】 反馈狼友: kankan125 时间:2026-08-01 23:38:53 报告ID:16304 当前进度:1/6

1

1 Aug 2026, 15:08 UTC768 viewsread 6 August 2026

【艺名】:#花花 【价格】:1300 【位置】:静安 【联系方式】:@doudouya52 【身材样貌】:175,模特身材,D罩杯大灯,课室干净好找 【服务过程】:约好时间,天气哗哗下雨,地面湿漉漉的,进门映入眼帘的是175的模特身材,大长腿,最吸引眼球的是她那个D罩杯的灯,E人一个,非常的健谈,不会让你感觉到尴尬,LS还是大学生,来上海短暂停留,年轻就是好,皮肤非常的嫩,ls进行水中萧,等不急的进去卧室进行传教士,老弟进去一股热流涌动,紧的不得了,搞得老夫差点射点,侧方位停车,后入激战一会,123洗漱撤退,完美的体验。 兄弟们,冲就完了,干到就是赚到,目前人还不是很多。

1 Aug 2026, 11:02 UTC771 views1 reactionsread 6 August 2026

匿名报告 【艺名】:#花花 【价格】:2300pp 【位置】:普陀 【联系方式】:@doudouya52 【身材样貌】: 高挑身材清纯女大 【服务过程】:一个燥热的午后选择出击了花花,一进屋看到妹子感到很惊喜,人照无差而且身材很好。一起了洗了身体遂上床缠绵,舌吻,口,女上,切换姿势分别用传教士和后入出了水,过程中妹子都很配合,小穴屌感好,推荐给喜欢女大的狼友 标签: @doudouya52 #花花 1300p #普陀 #女大 点击跳转原始报告【需先加群】 反馈狼友: 匿名狼友 时间:2026-08-01 18:59:52 报告ID:16286 当前进度:1/5

1

31 Jul 2026, 10:54 UTC839 viewsread 6 August 2026

‼️‼️展览会福利群: 免费拿5折6折7折优惠 和抽奖 白嫖 现金红包 本群专属手势认证高质量老师 上海艺术展览会福利群: https://t.me/+nFnE0wANtSRkMjEx 点击进去备用群 上海艺术展览会总榜单:https://t.me/+2i_egsiBxNFlNmJh 上海艺术展览会人气推荐榜 https://t.me/+vOj1VuT48NE3MDc1 上海艺术展览会中转平台 https://t.me/+-sIwH2NalFw2MzEy 展览会老师广告群 @shanghaiyishu 个人推荐频道88🧧 📡 上榜管理:@yishuja_bot 📡 管理秘书:@Yishujia798_bot

31 Jul 2026, 10:38 UTC768 views1 reactionsread 6 August 2026

【艺名】: 普陀 花花吖@doudouya52 【价格】: 1100p 【位置】: 普陀 【联系方式】: 【身材样貌】:身高175,全身无赘肉,胸型很好,满分。 【服务过程】:古人所谓怜香惜玉形容的应该就是如此这样的女子吧,本人cj次数不多,但花花从颜值、身材、性格都戳中了本人喜好。 中午刚和花花pp结束后,出门有一股之前cj没有的空虚感,以前都是心满意足的离开,今天突然感觉很失落,我知道我可能是有点上头了,冒出了立马返食的念头,若此刻离去必影响道心,于是问了花花晚点是否还有空,约好时间后,于是又怀着期待进门了。上一次见面还是3个小时前。花花依然还是满脸笑容的迎接,好像是填补了本狼心里的空白。 缠绵的过程就不分享了,独自品味。 确实是有点上头了,第二次出门还在回味着和花花的相处。一天交给了花花ppp,综合体验下来是我最喜欢的两次cj(第一次和第二次,哈哈哈哈哈),必返食 标签: @doudouya52 #花

1

31 Jul 2026, 07:36 UTC772 viewsread 6 August 2026

【艺名】: 普陀 花花吖@doudouya52 【价格】: 2100p 【位置】: 普陀 【联系方式】: 【身材样貌】: 终于抓到一个在校大学生,虽然马上毕业了,看花花动作略显局促,难得的青涩,在众多花海中遍凸显出了她的特别,值得注意的花花高挑纤细的身材,大长腿到了我的腰。没有一丝赘肉,妹妹很乖,很听话,刚入行,很多地方还没开发,👅全身很敏感。课表的服务都有,喜欢大长腿又看中颜值的可以冲 【服务过程】:过程不详细描写了,自己一个人慢慢品鉴,一定会返食 标签: @doudouya52 #花花 1300p #普陀 点击跳转原始报告【需先加群】 反馈狼友: Ceci 时间:2026-07-31 15:34:00 报告ID:16212 当前进度:1/3

Showing the 12 most recent of 16 posts we hold for @doudouya52520. 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

Citation-graph rank — 1,164,125 of 1,478,351entries 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.

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

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“童话心事” (@doudouya52520), 1,112 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/doudouya52520.

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.