Telegram RegisterThe public register of Telegram
Telegram profile photo for 小迪 禅城个人自聊

Channel

小迪 禅城个人自聊

@xdidia

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

7subscribers

+2 since we began measuring on 7 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004392842750
TypeChannel
Username@xdidia
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 November 2026
Last confirmed live7 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/xdidia

Growth

5767 Nov 2026, 16:22 — 5 subscribers7 Nov 2026, 19:59 — 7 subscribers7 Nov 2026, 16:227 Nov 2026, 19:59
2 measurements taken within a single day, net +2. 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 5–7 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Nov 2026, 19:597+2
7 Nov 2026, 16:225first reading

Engagement

17 posts held, back to 7 November 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.

ERR · 30 days
290.2%
avg views ÷ 7 subscribers
Avg views / post
20.3
16 posts measured
Reaction rate
6.25%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 1 of 16 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 7 November 2026
Posts held17 (7 November 2026 – 7 November 2026)
Views total325
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 16:22 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

Video runtime
3s
Average length
3s

Measured directly from 1 video 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 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 1 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 7 November 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 0 of 17 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 15:07 UTC13 viewsread 7 November 2026
Forwarded from @FSKKB

【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:小迪 【联系方式】:@QQJ15332 【验证留名】:风吹麦浪 【验证时间】:11.6 【上课打赏】:半价 【颜值身材】:9 【服务内容】:课表全有 【服务态度】:10 【优点缺点】:都是优点 【推荐程度】:10 【体验细节】:预约好时间提前到达目的地直达课室,见到本人比预想之中的跟漂亮,一进门就惊艳了,露出那藏不住的大白兔,递上水简单聊了下,交上水费然后为我宽衣解带,情绪价值满满,手拉手一起去洗澡,全程残疾式,前后都有洗还有水中潇很舒服,实在顶不住了帮擦完牵手到房间,躺下等着服务,课表有的都有,口到受不了了,特别酥麻,就戴上无奈本人123就没有了,就结束了今天的战斗,躺下聊了会,手拉手洗了个澡就撤了,总体感受非常好,很热情还会n返的。 温馨提示: 报告仅供参考 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)

7 Nov 2026, 13:56 UTC27 viewsread 7 November 2026

TG号被盗、哥哥们请注意一下、之前的号不是本人蛤

7 Nov 2026, 13:45 UTC23 viewsread 7 November 2026

联系不上可以加 微信:13531424417 与你:13531424417

7 Nov 2026, 13:45 UTC24 viewsread 7 November 2026
Forwarded from @Gzffrr

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:远山 【出击时间】:2026年 10月18 日 【老师艺名】:#小迪 【联系方式】: @QQJ15332 【开课位置】:隐蔽 【上课费用】:半价P 【颜值身材】:8分 【身高体重】:正常 【胸杯紧度】:正常 【老师类型】: #御姐 【服务种类】:洗吹做 【情绪态度】:热情(单选) 【优点缺点】:技术好 ①缺点:没发现缺点 ②优点:性价比 【自由描述】:一进门老师来一个友情拥抱,一起洗澡,洗的过程中老师水中潇然后回房间,口活技术个人确实厉害,挺爽的.前戏口活还可以,老师口完带套套主动坐我肉棒上抽插 换了很多姿势,老师都很配合, 最后也是成功出水了,老师很温柔,很舒服的一次体验 。贤者时间老师也服务了一下,也按摩了,同时也在聊天,老师很健谈,不会冷场休息几天必返 可以推荐.性价比高 位置隐秘 报告仅供参考,请理性选择, 哥布林切勿对号入座的 报…

7 Nov 2026, 13:45 UTC23 viewsread 7 November 2026
Forwarded from @Gzffrr

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:在春天游泳鸭 【出击时间】:2026年10月17日 【老师艺名】:#小迪 【联系方式】:@QQJ15332 【开课位置】:#禅城 【上课费用】:P 【颜值身材】:身材好 【身高体重】:160 45kg 【胸杯紧度】:大胸 【老师类型】:#御姐 【服务种类】:舌吻、69、洗吹做 【情绪态度】:热情 【优点缺点】:服务好 ①缺点:技术好,把我秒了 ②优点:服务好 【自由描述】:进门的那一刻,整间屋子干净得几乎能照出人影。浅米色的床单铺得平整,空气里只有淡淡的沐浴露香和一点点干净的木质味道,没有任何杂乱的气味或陈旧的感觉。灯光调得柔和,温度也刚好,让人一进门就放松下来。老师穿着简单的家居服,笑着迎上来,先给了一个不带任何压力的友情拥抱,手臂环着你的肩膀轻轻拍了拍,像老朋友见面一样自然。她的手很软,掌心温热,摸着你的手背时,指腹带着一点点细腻的触感,像刚…

7 Nov 2026, 13:45 UTC22 viewsread 7 November 2026
Forwarded from @FSKKB

【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:小迪 【联系方式】: @QQJ15332 【验证留名】:远山 【验证时间】:10.18 【上课打赏】:P 【颜值身材】:9 【服务内容】:课表都有 【服务态度】:热情 【优点缺点】:技术口活好 【推荐程度】:9 【体验细节】:一进门老师性感黑丝进入眼前、引导沙发细致问喝什么、来的舒缓的音乐、缓解尴尬场、聊了一下天老师坐大腿边KISS边帮我脱衣拉着一起洗澡、水中潇一口含主🥚的时候一身电流爽、然后老师从上到下全程不用自己动手擦干、回到房间意外之举:老师蹲下脚都给擦干净、太贴心了!AB面、强奸式口活深喉最近结束、自己都没反应过来!太刺激了.唯一可惜的就是没上战场.下周再战、说实话4张有这服务、极推荐、性价比高、位置也隐蔽.. 温馨提示: 报告仅供参考 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)

7 Nov 2026, 13:45 UTC22 viewsread 7 November 2026
Forwarded from @FSKKB

【佛山报告】[https://t.me/FSqun] 【所在位置】:禅城 【老师艺名】:小迪 【联系方式】: @QQJ15332 【验证留名】:霓虹马枪射穿对面瑞纳的头 【验证时间】:10、17 【上课打赏】:P 【颜值身材】:身材好 【服务内容】:课表上都有 【服务态度】:热情 【优点缺点】:技术好、把我秒了 【推荐程度】:9.9 【体验细节】:一进门老师来一个友情拥抱,摸着老师弹手的馒头进房间交完水费之后一起洗澡,洗的过程中,老师含了一口水水中潇还吸蛋蛋、技术超好,瞬间比🧱还硬,然后回房间,老师还调戏我一下说试试不同姿势吹,不得不说口活技术个人确实厉害,最后忍不住对老师洞穴进攻,没想到老师洞穴和她小嘴一样又紧又吸,爽.由于前戏口活超足没挺过第一个姿势被秒了,休息几天必返心理不服自己一点点丢脸! 超值推荐. 温馨提示: 报告仅供参考 注:(提交报告需要提供相关证明,如聊天记录,付款记录等)

Showing the 12 most recent of 17 posts we hold for @xdidia. 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

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 3 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.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“小迪 禅城个人自聊” (@xdidia), 7 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xdidia.

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.