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Channel

區塊101

@blockchaintipstw101

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

4subscribers

-43 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002486720109
TypeChannel
Username@blockchaintipstw101
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live23 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/blockchaintipstw101

Growth

44725.57 August 2026 — 47 subscribers10 August 2026 — 47 subscribers16 August 2026 — 31 subscribers23 August 2026 — 4 subscribers7 August 202623 August 2026
4 measurements spanning 16 days, net -43. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 23:034-27
16 Aug 2026, 20:4331-16
10 Aug 2026, 14:0147no change
7 Aug 2026, 20:2647first reading

Engagement

20 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.9%
avg views ÷ 4 subscribers
Avg views / post
1.2
17 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
17
of 20 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 10 August 2026
Posts held20 (30 July 202610 August 2026)
Views total21
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 14:01 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

10 Aug 2026, 02:40 UTC1 viewsread 10 August 2026
Photo

如何建立長期思維? 長期思維投資指南:聚焦現金流、資產配置與紀律,忽略短期波動,讓複利與時間累積成果。 https://blockchaintips101.com/long-term-thinking/

9 Aug 2026, 11:40 UTC1 viewsread 10 August 2026
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能力圈理論是什麼? 能力圈理論:只在真正理解的領域投資,辨識風險、估值與失敗路徑,避免過度自信與錯誤決策。 https://blockchaintips101.com/circle-of-competence/

8 Aug 2026, 20:42 UTC1 viewsread 10 August 2026
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如何避免確認偏誤? 避免確認偏誤:先找反證、寫下失敗條件,讓投資決策有流程、有紀錄,降低偏見影響。 https://blockchaintips101.com/confirmation-bias/

8 Aug 2026, 05:41 UTC2 viewsread 10 August 2026
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機率思維如何提升投資勝率? 機率思維提升投資勝率,透過基準率、風險報酬與部位管理,少輸多贏,讓長期結果偏向你。 https://blockchaintips101.com/probabilistic-thinking/

7 Aug 2026, 14:40 UTC2 viewsread 10 August 2026
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第二層思考是什麼? 第二層思考看懂市場預期與價格,判斷好公司是否真是好投資。解析NVIDIA、Costco等案例,提升投資決策。 https://blockchaintips101.com/second-level-thinking/

6 Aug 2026, 08:41 UTC2 viewsread 10 August 2026
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反脆弱理論如何應用於投資? 反脆弱投資重點在限制下行、保留選擇權,讓錯誤可逆並提升長期上行機會。 https://blockchaintips101.com/antifragile-investing/

5 Aug 2026, 17:40 UTC2 viewsread 10 August 2026
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複利真正厲害的地方在哪? 複利不是公式,而是時間、再投資與紀律的累積系統,讓資產在多年後放大成長差距。 https://blockchaintips101.com/power-of-compounding/

5 Aug 2026, 03:27 UTC1 viewsread 10 August 2026
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為什麼 Bitcoin 能成為數位黃金?從稀缺性、波動與避險能力完整分析 Bitcoin 常被稱為「數位黃金」,但固定供給並不代表價格穩定。本文用 2020 至 2025 年歷史數據,比較 Bitcoin 與黃金的稀缺性、波動、回撤、保管方式,以及對台灣投資人的實際影響。 https://blockchaintips101.com/why-bitcoin-is-digital-gold/

5 Aug 2026, 02:40 UTC1 viewsread 10 August 2026
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機會成本如何影響投資? 機會成本是投資決策中常被忽略的關鍵,學會比較替代方案、報酬與風險,才能做出更成熟的資本配置。 https://blockchaintips101.com/opportunity-cost/

4 Aug 2026, 14:37 UTC1 viewsread 10 August 2026
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反向思考如何提升判斷力? 反向思考是投資判斷關鍵:先找錯誤風險、檢查假設、降低從眾,提升估值與部位控制。 https://blockchaintips101.com/inversion-thinking/

4 Aug 2026, 11:40 UTC1 viewsread 10 August 2026
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如何降低重大決策失誤? 建立投資流程,控制風險、延後衝動、驗證資訊,避免追高殺低與單一判斷失誤,守住本金。 https://blockchaintips101.com/reduce-decision-errors/

3 Aug 2026, 20:46 UTC1 viewsread 10 August 2026
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機率思維如何改善人生決策? 機率思維幫你用風險與機率做投資決策,避免追高殺低、過度自信與一次押注。 https://blockchaintips101.com/probability-thinking-life/

Showing the 12 most recent of 20 posts we hold for @blockchaintipstw101. 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.

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

“區塊101” (@blockchaintipstw101), 4 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/blockchaintipstw101.

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.