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Channel

栗栗安的日常

@lilia1698

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

1,164subscribers

+85 since we began measuring on 12 September 2026

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

Register entry

Telegram ID-1004312744821
TypeChannel
Username@lilia1698
Created7 September 2026 — measured — dated from the channel’s first post
First recorded12 September 2026
Last confirmed live5 October 2026
Measurements held5
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/lilia1698

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 27 September 2026 and assigned it the closest of 31 fixed categories, at 89% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,0791,1651,12212 September 2026 — 1,079 subscribers14 September 2026 — 1,101 subscribers18 September 2026 — 1,142 subscribers27 September 2026 — 1,165 subscribers5 October 2026 — 1,164 subscribers1,16412 September 20265 October 2026
5 measurements spanning 23 days, net +85. 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 1,066–1,178 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 13:411,164-1
27 Sept 2026, 15:371,165+23
18 Sept 2026, 05:171,142+41
14 Sept 2026, 04:581,101+22
12 Sept 2026, 22:221,079first reading

Engagement

7 posts held, back to 7 September 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
23.9%
avg views ÷ 1,164 subscribers
Avg views / post
278
5 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 5 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 12 September 2026
Posts held7 (7 September 2026 – 12 September 2026)
Views total1,389
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Sept 2026, 22:22 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.

Recent posts

12 Sept 2026, 11:13 UTC81 viewsread 12 September 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】年轻嫩妹,娇嫩身材,颜值在线 【不足】 【妹子花名】:#栗栗安 【联系方式】:@lilian891 【妹子年龄】:19 【验证留名】:快回家 【验证时间】:9月12日 【大概位置】:拱墅区 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 √ ② 69舔逼 √ ③ 情绪价值 √ ④ 毒龙 【人照相似】:人照9,颜值嫩妹 【身高身材】:身高162,身材苗条,皮肤紧致手感很好 【凶器罩杯】:胸型B+,乳头颜色粉嫩,整体手感很棒 【湿度紧度】:比比户型颜色娇嫩,湿度紧度上佳 【环境细节】:交通/出入方便,房间整洁 【个人卫生】:未见抽烟,有漱口水/牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务点评】:服务到位,无少做,过程无机车 【推荐程度】:✅ 差评 中评…

12 Sept 2026, 09:51 UTC85 viewsread 12 September 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】年轻精致嫩妹/身材纤细/粉嫩 【不足】 【妹子花名】:#栗栗安 【联系方式】:@lilian891 【妹子年龄】:18 【验证留名】:坦克1号 【验证时间】:9月12日 【大概位置】:拱墅 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似程度9,颜值好看,气质/穿搭不错 【身高身材】:身高165,纹身大小,皮肤手感细腻 【凶器罩杯】:胸型B,乳头颜色/大小正常,整体手感紧实挺拔 【湿度紧度】:比比户型颜色粉嫩,水多紧致 【环境细节】:交通/出入方便,房间整洁 【个人卫生】:未抽烟,有漱口水/牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务点评】:服务到位,无少做,过程无机车 【推荐…

11 Sept 2026, 04:21 UTC222 viewsread 12 September 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】年轻 身材好 bb嫩 【不足】黄黑皮 【妹子花名】:栗栗安 【联系方式】:@lilian891 【妹子年龄】:19 【验证留名】:欧欧扎 【验证时间】:9月9日 【大概位置】:拱墅 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 ② 69舔逼 ③ 情绪价值 ④ 毒龙 【人照相似】:人照9分,颜值佳 【身高身材】:身高162,身材纤细 【凶器罩杯】:胸型b+,乳头粉,整体手感上好, 【湿度紧度】:比比粉,水多,白虎视觉 【环境细节】:回迁房小区 【个人卫生】:有漱口水,事前事后有清洗 【时间管理】:排课宽松 【服务点评】:嫩妹三件套 【推荐程度】:✅ 差评 中评 中好评 好评✅ 超级好评 【流程小文】:看见新上的老师,马上预约出击,在一个回迁房民宿,初次见面老师身材姣好,以为是很瘦的那…

Showing the 7 most recent of 7 posts we hold for @lilia1698. 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.

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.

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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“栗栗安的日常” (@lilia1698), 1,164 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/lilia1698.

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.