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Channel

おじさんの健康相談

@kenkouchannel

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

4,467subscribers

-14 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001252602735
TypeChannel
Username@kenkouchannel
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/kenkouchannel

Topic

Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@covid19sekaiheiwa/791417 Aug 2026, 04:20 UTC@kenkouchannel/65179 · this entry7 Aug 2026, 04:20 UTC1.00under a minute
@covid19sekaiheiwa/791427 Aug 2026, 04:44 UTC@kenkouchannel/65180 · this entry7 Aug 2026, 04:44 UTC1.00under a minute
@covid19sekaiheiwa/791437 Aug 2026, 04:51 UTC@kenkouchannel/65181 · this entry7 Aug 2026, 04:51 UTC1.00under a minute
@covid19sekaiheiwa/791447 Aug 2026, 05:08 UTC@kenkouchannel/65182 · this entry7 Aug 2026, 05:08 UTC1.00under a minute
@covid19sekaiheiwa/791487 Aug 2026, 11:50 UTC@kenkouchannel/65186 · this entry7 Aug 2026, 11:50 UTC1.00under a minute
@covid19sekaiheiwa/791507 Aug 2026, 12:42 UTC@kenkouchannel/65188 · this entry7 Aug 2026, 12:42 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@covid19sekaiheiwa17 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (170)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 35 comparable posts for this entry, running 6 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @kenkouchannel — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

4,4674,4814,4746 August 2026 — 4,481 subscribers7 August 2026 — 4,481 subscribers9 August 2026 — 4,467 subscribers6 August 20269 August 2026
3 measurements spanning 3 days, net -14. 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 4,465–4,483 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 19:034,467-14
7 Aug 2026, 01:474,481no change
6 Aug 2026, 13:074,481first reading

Engagement

51 posts held, back to 6 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 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.79%
avg views ÷ 4,467 subscribers
Avg views / post
125
51 posts measured
Reaction rate
4.16%
reactions ÷ views · ER floor
Posts in window
51
of 51 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 34 of 51 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 8 August 2026
Posts held51 (6 August 20268 August 2026)
Views total6,360
Reactions total199
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:03 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.

What this channel posts

Video runtime
19m 13s
Average length
1m 29s

Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

199 reactions across 32 posts, in 13 distinct kinds. The most used accounts for 33.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6733.7%
💩3015.1%
😈189.05%
🤬168.04%
147.04%
😡136.53%
👏94.52%
🙏94.52%
👎73.52%
🔥52.51%
😢52.51%
😨42.01%
😱21.01%

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 34 of the 51 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 199reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 6 August 2026 to 8 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

8 Aug 2026, 13:04 UTC100 viewsread 8 August 2026
Video

テキサス州マッキニーの市議会で、イラン出身のクリスチャン難民、エディ・イッサさんが声を上げました😮 彼はかつてイランでシャリア法の下、迫害を生き延びてきたと語っています。 今、マッキニーでは約6100坪の土地にイスラム教施設を建設する計画が進んでいるんです。 イッサさんはこの計画を許可しないでほしいと市議会に訴えました。 今イスラム教国とされている国々も、かつては全てキリスト教国だったといいます。 入国とシャリア法を安易に受け入れた結果、次々と命が奪われていったという厳しい現実を語っています😨 キリスト教とイスラム教の違いについても言及しています。 キリスト教は神との個人的な関係であるのに対し、イスラム教はシャリア法そのものが宗教と国家を一体化させる仕組みだと指摘しました。 これはアメリカの価値観とは相容れないというのがイッサさんの主張です。 さらに警鐘を鳴らしたのがタキヤという概念です。 少数派であるうちは平

8 Aug 2026, 13:02 UTC81 views0 reactionsread 8 August 2026
Video

🚨 ドイツが深刻な経済危機に直面しています。 AfD党首のアリス・ワイデル氏が、ドイツはすでに3年以上も不況の中にあると明言しました。「既に不況なので国がなくなると言う事かな?」 自動車産業だけで、たった1年で5万人の雇用が失われています。「かなり控えめな数字ですフォルクスワーゲンだけで5万です」 人員削減と企業の国外流出が製造業全体を覆い、産業の中核が驚異的なスピードで崩壊しているんです。 📉 企業の41%が、2026年にさらなる人員削減を計画しているというデータも出ています。 そして今、前例のない倒産の波が押し寄せ、中小企業が次々と消えています。 信用保険会社は、来年の倒産件数が3万件に達する恐れがあると警告しています。 かつて欧州経済を牽引してきたドイツが、今やこれほどの苦境に立たされている、、、 皆さん、ドイツの凋落はヨーロッパ全体、そして世界経済にとって何を意味すると思いますか? 日本の製造業の復活の

8 Aug 2026, 07:41 UTC167 views5 reactionsread 8 August 2026
Photo

https://x.com/HighWireTalk/status/2085777491025649708 グリホサート漬けの森 ― 燃えるべくして作られた森 @ChelleWards 氏と @tracybeanz 氏が、政府の施策がいかにして今年の山火事を悪化させたのかを解説します。 長年にわたり、国有林にはグリホサート(除草剤)が散布されてきました。その多くは空中散布によるものです。目的は、アスペンやカバノキといった耐火性のある広葉樹を枯らし、木材企業が燃えやすい針葉樹を均一に育てられるようにすることでした。カリフォルニア州だけでも2023年に26万6000ポンド(約120トン)ものグリホサートが森林に散布されましたが、これは20年前の散布量の5倍近くに上ります。 その結果、どうなったでしょうか。森からは自然の防火帯が失われ、燃えやすい樹種が密集するようになり、ひとたび火災が起きればより激しく燃え上がり、通常の2倍以上

👍4🤬1

8 Aug 2026, 07:23 UTC135 viewsread 8 August 2026

ヘロイン https://x.com/AugusteBardamu/status/2085597000750215595 ヘロインは、ジャングルの奥深くで犯罪カルテルによって発明されたものではありません。 これは、元々、製薬大手バイエルが単なる商標として登録したものです。 そして、その発売は、歴史上最も魅力的な産業盲目の一例の一つです。 19世紀末、呼吸器疾患がヨーロッパを襲っていました。バイエルは、この巨大市場を独占するために、必死に大衆向けの治療薬を探していました。 1897年、会社の研究所で、化学者フェリックス・ホフマンが二つの重要な分子に取り組んでいました。 一つ目はアスピリンとなります。もう一つは、モルヒネの合成誘導体です。 研究部の全権を握るハインリヒ・ドレーザーは、この二つ目の分子を、咳市場における即時の金脈と見なしました。 その呼吸器に対する鎮静効果は劇的でした。彼はそれを「ヘロイン」と名付け、ド

8 Aug 2026, 05:21 UTC134 views7 reactionsread 8 August 2026

イベルメクチン 認知症 https://x.com/lightworkyuko/status/2085622017282240729?s=52 yuko @lightworkyuko 海外に暮らしていた知人から イベルメクチンを1箱お譲りいただき 認知症の母に飲ませはじめました 12mgを夜、1日1錠です 4日経ちました まず一番おどろいたのが、 尿のにおいがなくなったこと 失禁すると、そのオムツを 捨てただけでなんとなく 周辺に臭いが広がるほど 独特な「腎臓が悪い」を 感じさせる臭いだったのです それがなくなり 失禁しても、対応した家族に 教えてもらわなければ 臭いで気づけないほど 無臭になりました 汗もかかず、暑さも分からない母は 水分を少ししかとらないのですが 尿の量が増えました つまり浮腫みの改善です 考えられるのは イベルメクチンの効果のみ 認知の方は変わらず ワカランチンな会話ですが 身体の変化の

4👍3

8 Aug 2026, 04:09 UTC148 views7 reactionsread 8 August 2026

https://www.youtube.com/watch?v=Rx9OWCX_F5U

👍52

8 Aug 2026, 03:40 UTC149 views5 reactionsread 8 August 2026

https://www.youtube.com/watch?v=XYcA3PSoAHo

😢5

8 Aug 2026, 02:52 UTC144 views9 reactionsread 8 August 2026
Forwarded from @kaeruchange111Video

ワシントン州スポケーンで大規模な火災が発生し、640世帯の家屋が焼失し、地域全体が廃墟と化しました。数千人が避難を余儀なくされています。

🙏9

8 Aug 2026, 02:47 UTC173 views11 reactionsread 8 August 2026
Video

今、ネタニヤフの発言が波紋を呼んでいます🇮🇱 戦争の本当の理由について、うっかり本音が漏れてしまったようなんです。 核兵器の話ではなく、実は石油の輸送ルートが焦点だったことが明らかになりました。 ホルムズ海峡やバブ・エル・マンデブ海峡、こうしたチョークポイントを通過するルートは危険なので避けるべきだという発言をしています。 代わりに、アラビア半島を西へ横断する石油パイプラインを新たに建設し、イスラエル、そして地中海の港まで直接つなげてしまえばいい、という構想なんです。 これが実現すれば、中東の主要な海峡を経由せずに石油を運べるようになり、アラブ諸国が握ってきた海上ルートの支配力を無力化できてしまうことになります⚠️ つまり今回の一連の動きの裏には、核の脅威というより、石油の物流と利権を巡る戦略が存在していた可能性が浮上してきました💰 この大イスラエルパイプライン構想が実現した場合、日本のエネルギー調達はどうなるんで

💩101

8 Aug 2026, 02:23 UTC196 views9 reactionsread 8 August 2026
Video

🇺🇸トランプ大統領が新たな大統領令に署名しました。 出生による市民権の悪用を防ぐための措置と、出産ツーリズムを禁止する措置の2件です。 ある男性は家族と共に現れ、子どもが56人いると話していたそうです😨 別のケースでは98人という数字も出ていました。 これは南北戦争直後、奴隷の子どもたちに市民権を保障するために作られた仕組みでした。 それが今では、富裕層が出産のためだけにアメリカを訪れ、子どもに市民権を持たせるビジネスへと変わってしまっていたんです。 スティーブン・ミラー大統領次席補佐官はこの件を、トランプ政権の移民政策の中でも重要性トップ3に入ると述べています。 根拠となるのは移民国籍法第215A条です 観光目的だと申告してビザを取得しながら、実際は出産が目的だった場合、それは政府に対する詐欺にあたるという説明がされました。 対象となる人数は数十万人規模にのぼるとされています。 日本の移民制度はリアルにやばい.

👍8💩1

Showing the 12 most recent of 51 posts we hold for @kenkouchannel. 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 — 204,026 of 1,151,006entries 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.

Forward network

Republished by

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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“おじさんの健康相談” (@kenkouchannel), 4,467 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/kenkouchannel.

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.