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Channel

Time经济观察

@TimeHorizonX

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

20,811subscribers

+28 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001776226650
TypeChannel
Username@TimeHorizonX
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/TimeHorizonX

Growth

20,77920,81220,795.57 August 2026 — 20,783 subscribers7 August 2026 — 20,779 subscribers8 August 2026 — 20,784 subscribers9 August 2026 — 20,787 subscribers10 August 2026 — 20,789 subscribers12 August 2026 — 20,791 subscribers13 August 2026 — 20,796 subscribers14 August 2026 — 20,792 subscribers15 August 2026 — 20,796 subscribers17 August 2026 — 20,795 subscribers18 August 2026 — 20,789 subscribers19 August 2026 — 20,793 subscribers20 August 2026 — 20,800 subscribers21 August 2026 — 20,798 subscribers22 August 2026 — 20,804 subscribers24 August 2026 — 20,809 subscribers25 August 2026 — 20,810 subscribers26 August 2026 — 20,812 subscribers27 August 2026 — 20,810 subscribers28 August 2026 — 20,803 subscribers29 August 2026 — 20,808 subscribers30 August 2026 — 20,809 subscribers31 August 2026 — 20,804 subscribers1 September 2026 — 20,802 subscribers2 September 2026 — 20,797 subscribers4 September 2026 — 20,800 subscribers6 September 2026 — 20,811 subscribers20,8117 August 20266 September 2026
27 measurements spanning 30 days, net +28. 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 20,774–20,817 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
6 Sept 2026, 04:3620,811+11
4 Sept 2026, 00:5720,800+3
2 Sept 2026, 16:3920,797-5
1 Sept 2026, 17:2620,802-2
31 Aug 2026, 19:0420,804-5
30 Aug 2026, 20:4420,809+1
29 Aug 2026, 21:4520,808+5
28 Aug 2026, 18:5320,803-7
27 Aug 2026, 16:1320,810-2
26 Aug 2026, 14:5720,812+2
25 Aug 2026, 12:5320,810+1
24 Aug 2026, 16:1720,809+5
22 Aug 2026, 22:4320,804+6
21 Aug 2026, 09:5820,798-2
20 Aug 2026, 09:3520,800+7
19 Aug 2026, 11:1520,793+4
18 Aug 2026, 10:5520,789-6
17 Aug 2026, 09:3320,795-1
15 Aug 2026, 18:0320,796+4
14 Aug 2026, 07:4420,792first reading

Engagement

65 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 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.3%
avg views ÷ 20,811 subscribers
Avg views / post
3,610
44 posts measured
Reaction rate
0.579%
reactions ÷ views · ER floor
Posts in window
44
of 65 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held65 (30 July 20263 September 2026)
Views total158,640
Reactions total918
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 17:48 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

1,342 reactions across 65 posts, in 15 distinct kinds. The most used accounts for 33.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍44533.2%
🔥19514.5%
18213.6%
977.23%
🙏957.08%
🍾634.69%
💅624.62%
👏614.55%
483.58%
🎉322.38%
🏆251.86%
🎅201.49%
🆒120.894%
🍓30.224%
20.149%

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 65 of the 65 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 1,342 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 65 most recent posts we hold, published 30 July 2026 to 3 September 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

3 Sept 2026, 10:08 UTC≈1,230 views16 reactionsread 3 September 2026
Photo

可以看到日本韩国基本都是一城独大的情况,首都GDP占比超过40%,首尔更是超过一半。最低是上海,只占全国4%。

10👍42

3 Sept 2026, 09:47 UTC≈1,180 views6 reactionsread 3 September 2026
Photo

中国市场占丰田全球销量比重降至13%左右,和峰值20.7%相比,降了7个百分点,回到2017年附近。

🙏3🎉2🔥1

3 Sept 2026, 04:22 UTC≈1,540 views6 reactionsread 3 September 2026
Photo

今年以来,标普制造业PMI表现持续优于统计局制造业PMI,缺口均值1.4,相当明显。这与标普制造业PMI口径上更偏向沿海出口供应链相关企业有关。

👍321

3 Sept 2026, 03:41 UTC≈1,610 views16 reactionsread 3 September 2026
Photo

中日贸易依存度的高度不对称性,会间接影响很多事务。

🔥102👏21👍1

2 Sept 2026, 15:15 UTC≈2,080 views21 reactionsread 3 September 2026
Photo

贝森特对日本当前财政扩张的再通胀政策不满,直接明牌了,是比较罕见的直接施压。

👍12🎅3💅3🔥21

2 Sept 2026, 10:08 UTC≈2,310 views16 reactionsread 3 September 2026
Photo

日本防务费的急速上升主要来源于税收,而不是新发国债,通俗说是从存量中噶的。这种压力需要释放,所以意识形态变化与之匹配。

🔥11👍41

2 Sept 2026, 03:06 UTC≈2,290 views16 reactionsread 3 September 2026
Photo

8月制造业PMI 各分项热力图

👍151

1 Sept 2026, 02:21 UTC≈2,560 views20 reactionsread 3 September 2026
Photo

本田和日产联手开发能如智能手机般持续升级的汽车操作系统,目标2029年搭载。 除了牛皮还能说啥。

👍128

31 Aug 2026, 23:53 UTC≈2,580 views8 reactionsread 3 September 2026
Photo

2026上半年欧洲汽车市场同比净增41.7万辆。 中系五强贡献31.3万辆,占75%。 日系六强净拖累1.7万辆。 其余车企增加12.1万辆。 市场增量基本由中系扩张拉动。

🔥7👍1

31 Aug 2026, 12:24 UTC≈2,610 views20 reactionsread 3 September 2026
Photo

广州二手房价格环比连续5个月转正,去年年底在70城中接近垫底水平,最近7月已经拉到了第一名。

14👍6

31 Aug 2026, 09:48 UTC≈2,620 views40 reactionsread 3 September 2026
Photo

经济学中最常见的一个教条化误解就是货币贬值利好出口,理论上没错,但这只是一般性的单因果规律,而出口远远不是单独一个汇率因素所决定的,还涉及到供应链,成本,技术附加值,物流等等因素。 其实破解教条性认知的反例随处可见,比如中国和日本就是典型案例,人民币近一年升值不止,但由于供应链突破了临界点,产品对外竞争力极强,出口依然激增,而日本近5年汇率大幅贬值了30%,出口不仅没有大幅上升,反而是小幅下降的。

👍3631

31 Aug 2026, 06:26 UTC≈2,610 views14 reactionsread 3 September 2026
Photo

上半年中日车企在欧洲汽车市场的销量增速对比

👍8🔥51

Showing the 12 most recent of 65 posts we hold for @TimeHorizonX. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

敏感经济信息分享
@pelosi3 · 70,597
Telegram ranks this channel #14 of 51 here — alongside 50 others — read 20 August 2026
科技&趣闻&杂记
@kejiqu · 36,422
Telegram ranks this channel #20 of 48 here — alongside 47 others — read 1 September 2026
看鉴中国 OutsightChina
@OutsightChina · 41,194
Telegram ranks this channel #27 of 58 here — alongside 57 others — read 29 August 2026
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 48,303
Telegram ranks this channel #27 of 60 here — alongside 59 others — read 26 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“Time经济观察” (@TimeHorizonX), 20,811 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/TimeHorizonX.

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.