Telegram RegisterThe public register of Telegram
Telegram profile photo for 小七精选海外数据

Channel

小七精选海外数据

@baofu999999

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

191subscribers

+2 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1002434841291
TypeChannel
Username@baofu999999
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live18 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/baofu999999

Growth

189192190.511 August 2026 — 189 subscribers12 August 2026 — 192 subscribers18 August 2026 — 191 subscribers19111 August 202618 August 2026
3 measurements spanning 7 days, 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 189–192 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 12:03191-1
12 Aug 2026, 07:47192+3
11 Aug 2026, 18:31189first reading

Engagement

19 posts held, back to 3 August 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
19.8%
avg views ÷ 191 subscribers
Avg views / post
37.8
19 posts measured
Reaction rate
2.50%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 19 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 held19 (3 August 20266 August 2026)
Views total718
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 18:31 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

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 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 3 August 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, 10:20 UTC53 viewsread 11 August 2026
Photo

#印尼 【印度尼西亚新冠疫苗接种记录明细表】 本数据库收录 54.1万+ 条新冠疫苗接种记录,涵盖身份核验、接种详情、地理分布及保险标识,为医疗健康、保险服务、公共卫生研究及区域市场策略提供数据支持。 🏠 完整字段清单 🏠 ✔️ 接种记录ID ▫️ 接种点ID ▫️ 疫苗类型ID ✔️ 身份证号 ▫️ 姓名 ▫️ 地址 ✔️ 接种剂量 ▫️ 接种点名称 ▫️ 性别 ✔️ 疫苗类型名称 ▫️ 县 ▫️ 社区 ✔️ 接种说明 ▫️ 健康保险标识 ▫️ 城市 ✔️ 手机号 ▫️ 出生地 🪟 核心应用场景 🪟 ✨医疗健康产品与保险服务精准推广 ✨公共卫生政策研究与疫苗接种分析 ✨区域化健康管理项目设计与评估 ✨印尼本地民生服务与社区触达 😁 数据核心优势 😁 真实疫苗接种记录|多级地理与社区标识|健康保险覆盖情况|身份信息与联系方式完备 4️⃣

6 Aug 2026, 10:20 UTC40 views1 reactionsread 11 August 2026
Photo

#越南 30 新货,企业.法人,董事 带证号,税号

1

6 Aug 2026, 10:20 UTC41 viewsread 11 August 2026
Photo

#越南 【越南患者就诊信息表】 👍 本批数据整理自 越南医疗就诊相关记录,覆盖患者基础信息、就诊编号及诊断维度,数据体量大、结构清晰,适用于医疗数据研究、就诊行为分析及区域医疗资源研究等方向。数据规模:约 37万+ 条就诊记录 💎 字段内容说明 ▪️ 患者ID ▫️ 姓名 ▫️ 出生年份 ▪️ 地址 ▫️ 手机号 ▫️ 邮箱 ▪️ 档案编号 ▫️ 病历号 ▫️ 就诊编号 ▪️ 医生ID ▫️ 医保卡号 ▪️ 初步诊断 ▫️ 辅助诊断 🪙 可参考应用方向 ✔️ 就诊人群结构与疾病类型分析 ✔️ 区域医疗服务与患者分布研究 ✔️ 医疗数据样本整理与统计分析 ✔️ 越南本地医疗体系相关研究支持 🔗 数据特点:记录量大 | 诊断字段完整 | 覆盖就诊全流程 4️⃣

3 Aug 2026, 08:07 UTC57 viewsread 11 August 2026

供 海外数据 提供类型: 【数码】【健身】【医美】【奢品】 【股票】【币圈】【银行】【保健】 【酒店】【美妆】【旅游】【航空】 【中产】【纳税】【珠宝】【高消费】 【高管】【房车】【博彩】【高净值】 🔱全球快杀-野生鲜活高出金 【3C数码】【高级医美】 【星级酒店】【中级职工】 独家技术定制站点: 【全球站点:高端消费站点数据定制】 【全球站点:高端房车站点数据定制】 【全球站点:高端旅游站点数据定制】 数据频道:@baofu999999 优 势: 全球高端站点24小时现跑活跃 对接方式/对接人: @yffs98 @ltsj999 群链接:https://t.me/+p7EFhOD6wP84OGM1

3 Aug 2026, 08:07 UTC27 viewsread 11 August 2026
Photo

🇷🇺 俄罗斯新西伯利亚州 居民数据库 🔥 条目:146000+ 数据:id, 名字, 姓名, 邮箱, 电话号码, 地址_城市, 地址_街道, 地址_门牌号, 地址_入口, 地址_楼层, 地址_办公室, 地址_备注, 经度, 纬度, 费用, 用户ID, 用户_代理, 邮政编码

3 Aug 2026, 08:07 UTC29 viewsread 11 August 2026
Photo

俄罗斯午餐配送订餐服务平台带税号银行卡 obed.ru 条目:210 万以上 数据:客户、全名、电子邮件、电话、银行卡、银行名称、ИНН(税号)、金额、供应商信息、地址、发票、银行详细信息、百分比、员工、经理、管理员等。

3 Aug 2026, 08:07 UTC32 viewsread 11 August 2026
Photo

俄罗斯莫医疗卫生局 mоѕgоrzdrаv․ru 条目:1,000,000+数 据:ID,强制医疗保险单号 ,临时证书,联系方式,SNILS(俄罗斯社会保险号码),姓氏,名字,中间名,出生日期,性别,电话号码,新生儿信息,证件:类型,证件:序列号,证件:号码,证件:签发日期,证件:签发机构,居住地址,居住地址:公寓号,居住地址,等等。

3 Aug 2026, 08:07 UTC37 viewsread 11 August 2026
Photo

俄罗斯医院 medicine.ru 数据库 🔥 条目:466000+ 数据:患者全名、性别、出生日期、客户、电话、电子邮件地址、邮件、护照:签发机构、护照:号码、护照:序列号。

Showing the 12 most recent of 19 posts we hold for @baofu999999. 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 — 1,022,718 of 1,550,220entries 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.

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

“小七精选海外数据” (@baofu999999), 191 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/baofu999999.

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.