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Channel

少数派sspai

@sspai

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

38,753subscribers

+4,265 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001008993262
TypeChannel
Username@sspai
Created22 September 2015 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded5 August 2026
Last confirmed live25 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/sspai

Topic

Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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

34,48838,75336,620.55 August 2026 — 34,488 subscribers6 August 2026 — 34,490 subscribers7 August 2026 — 34,501 subscribers8 August 2026 — 34,499 subscribers9 August 2026 — 34,500 subscribers10 August 2026 — 34,499 subscribers11 August 2026 — 34,501 subscribers12 August 2026 — 34,496 subscribers13 August 2026 — 34,492 subscribers14 August 2026 — 34,498 subscribers16 August 2026 — 34,505 subscribers17 August 2026 — 37,833 subscribers18 August 2026 — 37,918 subscribers19 August 2026 — 37,920 subscribers20 August 2026 — 37,937 subscribers21 August 2026 — 37,929 subscribers23 August 2026 — 37,954 subscribers24 August 2026 — 37,972 subscribers25 August 2026 — 37,966 subscribers27 August 2026 — 37,982 subscribers28 August 2026 — 37,984 subscribers30 August 2026 — 37,991 subscribers31 August 2026 — 37,992 subscribers1 September 2026 — 37,997 subscribers2 September 2026 — 37,994 subscribers3 September 2026 — 38,001 subscribers4 September 2026 — 37,996 subscribers7 September 2026 — 37,991 subscribers10 September 2026 — 38,128 subscribers12 September 2026 — 38,158 subscribers14 September 2026 — 38,214 subscribers16 September 2026 — 38,243 subscribers18 September 2026 — 38,228 subscribers24 September 2026 — 38,286 subscribers3 October 2026 — 38,283 subscribers8 October 2026 — 38,302 subscribers12 October 2026 — 38,298 subscribers14 October 2026 — 38,501 subscribers15 October 2026 — 38,503 subscribers16 October 2026 — 38,656 subscribers17 October 2026 — 38,682 subscribers18 October 2026 — 38,683 subscribers19 October 2026 — 38,688 subscribers20 October 2026 — 38,685 subscribers21 October 2026 — 38,698 subscribers22 October 2026 — 38,715 subscribers23 October 2026 — 38,720 subscribers24 October 2026 — 38,723 subscribers25 October 2026 — 38,753 subscribers5 August 202625 October 2026
49 measurements spanning 81 days, net +4,265. 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 33,848–39,393 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
25 Oct 2026, 18:4738,753+30
24 Oct 2026, 17:1438,723+3
23 Oct 2026, 19:1638,720+5
22 Oct 2026, 19:3638,715+17
21 Oct 2026, 12:1138,698+13
20 Oct 2026, 07:2038,685-3
19 Oct 2026, 10:4838,688+5
18 Oct 2026, 11:4938,683+1
17 Oct 2026, 14:5638,682+26
16 Oct 2026, 12:0038,656+153
15 Oct 2026, 08:5638,503+2
14 Oct 2026, 07:4738,501+203
12 Oct 2026, 17:0038,298-4
8 Oct 2026, 05:1738,302+19
3 Oct 2026, 16:2138,283-3
24 Sept 2026, 21:3938,286+58
18 Sept 2026, 16:1638,228-15
16 Sept 2026, 06:0038,243+29
14 Sept 2026, 13:1638,214+56
12 Sept 2026, 23:0138,158first reading

Engagement

14,744 posts held, back to 22 September 2015 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 923 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.28%
avg views ÷ 38,753 subscribers
Avg views / post
2,050
82 posts measured
Reaction rate
0.081%
reactions ÷ views · ER floor
Posts in window
82
of 14,744 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 31 of 82 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 24 October 2026
Posts held14,744 (22 September 2015 – 24 October 2026)
Views total167,910
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 07:54 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

188 reactions across 71 posts, in 8 distinct kinds. The most used accounts for 47.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8947.3%
👍5931.4%
😢179.04%
🔥84.26%
👏52.66%
🤔52.66%
😱42.13%
🎉10.532%

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 359 of the 1,000 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 616 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 24 December 2025 to 24 October 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

24 Oct 2026, 10:20 UTC≈1,000 viewsread 25 October 2026

在硅谷,遇见个人计算机历史 [by StephenFang] https://sspai.com/post/116128

23 Oct 2026, 11:20 UTC≈1,460 viewsread 25 October 2026

本周看什么 | 最近值得一看的 12 部作品 [by 少数派编辑部] https://sspai.com/post/117169

23 Oct 2026, 08:20 UTC≈1,480 viewsread 25 October 2026

TDS REVIEW|OPPO Enco X4 降噪真无线耳机体验 [by KingTsui] https://sspai.com/post/116398

23 Oct 2026, 04:20 UTC≈1,490 viewsread 25 October 2026

破与立:设计视角下的 iPhone Duo [by 苏志斌SUiTHiNK] https://sspai.com/post/116979

23 Oct 2026, 02:20 UTC≈1,480 viewsread 25 October 2026

派早报:Insta360 发布 Insta360 Mic,Anthropic 推出 Claude Duet 等 [by 少数派编辑部] https://sspai.com/post/117104

22 Oct 2026, 10:20 UTC≈1,670 viewsread 25 October 2026

把 Muse 装进 ESP-Mosaico:做一个没用的东西,证明 Vibe Coding 也在硬件领域快速成长 [by log] https://sspai.com/post/115437

22 Oct 2026, 08:20 UTC≈1,690 viewsread 25 October 2026

前瞻|Apple 新品看点:MacBook 或将推出 OLED 触屏版本 [by Vanilla] https://sspai.com/post/116923

22 Oct 2026, 05:20 UTC≈1,820 viewsread 25 October 2026

终于吃到了那颗梦寐以求的小药丸:我的 ADHD 诊疗记 [by LOSSES] https://sspai.com/post/115090

22 Oct 2026, 02:20 UTC≈1,640 viewsread 25 October 2026

派早报:荣耀发布 WIN2 系列新品、Google 开源 TorchTPU 等 [by 少数派编辑部] https://sspai.com/post/116953

21 Oct 2026, 10:20 UTC≈1,760 viewsread 25 October 2026

社区速递 162 | MUJI 靠垫、中兴路由器与派友们的长假吃灰装备 [by Matrix机器人] https://sspai.com/post/116820

21 Oct 2026, 08:20 UTC≈1,720 viewsread 25 October 2026

App+1|Vitals:什么在拖慢你的 Mac?它比「活动监视器」更直观易用 [by ElijahLee] https://sspai.com/post/116445

21 Oct 2026, 04:20 UTC≈1,710 views2 reactionsread 25 October 2026

怀旧手记|世界首台 UMPC:三星 Q1,和当下平板有什么关系? [by 随便好啦] https://sspai.com/post/115107

❤2

Showing the 12 most recent of 14,744 posts we hold for @sspai. 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 6 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

在花🎗️科技圈
@zaihuapd · 287,076
#1
Newlearnerの自留地
@NewlearnerChannel · 67,926
#2
每日消费电子观察
@CE_Observe · 76,516
#3
Solidot
@solidot · 47,753
#4
Yummy 😋
@GodlyNews1 · 70,300
#5
 Apple Nuts
@AppleNuts · 37,538
#6
蓝点网订阅频道
@landiansub · 46,222
#7
Appinn Feed|小众软件
@appinnfeed · 34,428
#8
APPDO 数字生活指南
@AppDoDo · 40,870
#9
LoopDNS资讯播报
@DNSPODT · 72,814
#10
小声读书 🙈
@weekly_books · 38,190
#11
瞎玩菌 #SFW
@blindgamer · 10,743
#12
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,464
#13
Surge & Loon & QX 脚本收集
@NobyDa · 64,102
#14
不靠谱的喵(>^ω^<) #CatGPT
@MlgmXyysd_bibilailai · 22,254
#15
Alan的小纸箱
@alansbox · 4,359
#16
APPDO的互联网记忆
@appdopic · 16,772
#17
Surge TestFlight Feed
@SurgeTestFlightFeed · 12,950
#18
极客分享
@geekshare · 65,236
#19
灵车漂移
@Hearse_Drifting · 10,702
#20
iBeta 尝鲜派|公告栏
@ibeta_channel · 13,566
#21
椒盐豆豉剪报
@mtfront · 4,950
#22
黑洞资源笔记
@piracy6 · 77,783
#23
DBin_K 🤯 Tingle 灵光一闪 💡
@DBinKBB · 2,315
#24
戴老师购物指南
@idwlch · 1,708
#25
贪玩电动(停售实体版)
@oojbk · 2,181
#26
科技&趣闻&杂记
@kejiqu · 36,640
#27
无印🐑品 #BeHonest
@BeetSelect · 1,792
#28
Rachel 碎碎念
@RachelBlahblah · 2,010
#29
AppPie
@AppPie · 3,494
#30
Humanitech
@humanitech · 2,178
#31
简中互联网废物大赏
@fucku_idiot · 41,265
#32
折腾啥
@zhetengsha · 52,434
#33
Odyssey+
@odysseyplus · 24,788
#34
风向旗参考快讯
@xhqcankao · 165,967
#35
竹新社
@tnews365 · 165,449
#36
LetITFly News
@LetITFlyW · 9,659
#37
即刻精选
@jike_collection · 35,828
#38
层叠 - The Cascading
@outvivid · 9,202
#39
VPS信号旗播报
@vps_xhq · 50,358
#40
Android Weekly Update ⚡️
@update4weekly · 5,264
#41
Soha 的日常
@sohadays · 4,790
#42
心灵魔法站
@personal_hub · 11,576
#43
NS新闻转报
@SwitchNewCN · 7,433
#44
青鸟的频道
@bluebird_channel · 7,948
#45
Laoself 🫈
@Laoself · 3,041
#46
〄FW
@JISFW · 12,847
#47
新·世界观察日志
@NewWorldObservationLog · 7,015
#48
大头打飞机
@BigXhead_Aeroplane · 1,939
#49
煎蛋无聊图
@jandan_pic · 25,332
#50
Karen医生の日常
@KarenMoeMoe · 9,368
#51
Loon News
@LoonNews · 48,285
#52
Sukka's Notebook
@SukkaChannel · 6,922
#53
《一天世界》博客
@yitianshijie · 6,110
#54
Arch Linux Chinese Messages
@archlinuxcn · 11,230
#55
PlayStation 新闻转发
@PlayStationNewssss · 3,211
#56
Foolish TraceWind
@FoolishTraceWind · 16,690
#57
每日摄影观察
@cnphotog_collect · 6,776
#58

Read from Telegram’s recommendation API, most recently 31 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Appinn Feed|小众软件
@appinnfeed · 34,428
Telegram ranks this channel #3 of 52 here — alongside 51 others — read 4 September 2026
小声读书 🙈
@weekly_books · 38,190
Telegram ranks this channel #7 of 59 here — alongside 58 others — read 31 August 2026
Newlearnerの自留地
@NewlearnerChannel · 67,926
Telegram ranks this channel #8 of 62 here — alongside 61 others — read 21 August 2026
Shadowrocket News
@ShadowrocketNews · 47,081
Telegram ranks this channel #11 of 60 here — alongside 59 others — read 27 August 2026
科技&趣闻&杂记
@kejiqu · 36,640
Telegram ranks this channel #12 of 48 here — alongside 47 others — read 1 September 2026
APPDO 数字生活指南
@AppDoDo · 40,870
Telegram ranks this channel #12 of 57 here — alongside 56 others — read 30 August 2026
 Apple Nuts
@AppleNuts · 37,538
Telegram ranks this channel #13 of 56 here — alongside 55 others — read 1 September 2026
zaobao.sg 早报
@zaobaosg · 46,131
Telegram ranks this channel #14 of 59 here — alongside 58 others — read 1 September 2026
ChatGPT / AI新闻聚合
@AI_News_CN · 22,857
Telegram ranks this channel #16 of 45 here — alongside 44 others — read 22 September 2026
蓝点网订阅频道
@landiansub · 46,222
Telegram ranks this channel #16 of 58 here — alongside 57 others — read 28 August 2026
黑洞资源笔记
@piracy6 · 77,783
Telegram ranks this channel #16 of 61 here — alongside 60 others — read 19 August 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,464
Telegram ranks this channel #17 of 55 here — alongside 54 others — read 10 September 2026
Solidot
@solidot · 47,753
Telegram ranks this channel #17 of 59 here — alongside 58 others — read 28 August 2026
外滩读书会-最新报纸、杂志、财经报告及流行电子书分享
@readingclubus · 28,891
Telegram ranks this channel #18 of 41 here — alongside 40 others — read 8 September 2026
2019-nCoV疫情实时播报🅥
@nCoV2019 · 32,633
Telegram ranks this channel #18 of 59 here — alongside 58 others — read 4 September 2026
极客分享
@geekshare · 65,236
Telegram ranks this channel #20 of 44 here — alongside 43 others — read 21 August 2026
ahhhhfs|A姐分享
@abskoop · 304,598
Telegram ranks this channel #21 of 50 here — alongside 49 others — read 17 August 2026
Yummy 😋
@GodlyNews1 · 70,300
Telegram ranks this channel #22 of 55 here — alongside 54 others — read 20 August 2026
FREE 中文
@freechinese · 27,687
Telegram ranks this channel #23 of 55 here — alongside 54 others — read 10 September 2026
每日消费电子观察
@CE_Observe · 76,516
Telegram ranks this channel #24 of 62 here — alongside 61 others — read 19 August 2026
即刻精选
@jike_collection · 35,828
Telegram ranks this channel #26 of 48 here — alongside 47 others — read 2 September 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 88,798
Telegram ranks this channel #28 of 67 here — alongside 66 others — read 17 August 2026
秀儿の科技软件|资源分享社🎀
@jianjiaoPD · 130,433
Telegram ranks this channel #31 of 42 here — alongside 41 others — read 4 September 2026
Time经济观察
@TimeHorizonX · 20,958
Telegram ranks this channel #33 of 54 here — alongside 53 others — read 25 September 2026

This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“少数派sspai” (@sspai), 38,753 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/sspai.

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.