Kinderwunsch und Schwangerschaft sind nicht nur Frauensache. Wenn es um eine gesunde Schwangerschaft geht, richtet sich der Blick fast immer auf die werdende Mutter. Dabei wird häufig übersehen, dass auch der Vater bereits vor der Empfängnis eine entscheidende Rolle spielt. In diesem Gespräch geht es unter anderem darum, warum die Plazenta zu einem großen Teil von der väterlichen DNA geprägt wird, weshalb die Gesun…

Channel
Ullis Gesundheits Einblick 🧘♀️💞🥦🍋🧄
@go2ab
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
397subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001270241952 |
|---|---|
| Type | Channel |
| Username | @go2ab |
| Description | Hier findest du viele interessante Infos über alles was deine Gesundheit betrifft. Gesund leben, Naturmedizin, Kräuter, neue Technik zur Behandlung u.v.m🥕🍋🍇 Gebe einfach mit der Lupe rechts oben den Suchbegriff ein und du kommst schnell an dein Ziel😉 |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/go2ab |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:50 | 397 | no change |
| 8 Aug 2026, 00:27 | 397 | first reading |
Engagement
16 posts held, back to 4 August 2026 — the 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
- 8.42%
- avg views ÷ 397 subscribers
- Avg views / post
- 33.4
- 16 posts measured
- Reaction rate
- 3.45%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 16 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 3 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 16 (4 August 2026 – 7 August 2026) |
| Views total | 535 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:50 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
- Photos
- ≈2,430
- Videos
- ≈572
- Links
- ≈2,590
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 5m 34s
- Average length
- 1m 24s
Measured directly from 4 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
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| 👏 | 1 | 33.3% |
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 3 of the 16 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 4 August 2026 to 7 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
🌊https://www.youtube.com/watch?v=k6qnTdyVqkA
https://shop.alps-pure.com/?ref=4516
👍1
Bei Blasenschmerzen, Blasenentzündungen, Darmkrämpfen, Erkältung, Fieber, Fußschweiz, Gicht, Kolik, Kopfschmerzen , Muskelkater, Rheuma und Neuralgien ist Weide ein schmerzstillendes Mittel. Meistens wird Weiderinder verwendet. Für einen Tee übergießt man einen TL Weidenrinde mit 250 ml kochendem Wasser und lässt ihn 8 -10 Minuten ziehen. Anschließend abseihen und 2-3 Tassen am Tag trinken. Bei rheumatischen Erkran…
Weidenrinden-Tinktur Nur möglichst junge Zweige der Weide im Frühjahr verwenden. Die Rinde lässt sich ganz leicht abziehen. Diese dann zerkleinern und trocknen. Dann in ein Glas füllen und mit Alkohol auffüllen, so dass die Rinde bedeckt ist. Glas verschließen und ca. 4-5 Wochen ziehen lassen und jeden Tag schütteln. Dann abseihen und in dunkle Fläschchen füllen. Im Kühlschrank aufbewahren. Bei Bedarf 3×täglich 20 T…
👍1
Tinktur mit Mädesüßtinktur und Weidenrinde Die Weidenrinde ist die „Mutter“ von Aspirin. Es wirkt Schmerzlindernd. Hilft bei Kopf- oder auch chronischen Rückschmerzen genauso wie bei grippalen Infekten und wirkt Fiebersenkend. Auch bei Arthrose sowie entzündlichen Rheumatischen Beschwerden kann es Linderung verschaffen. Mädesüß und Weidenrinde ergänzen sich somit sehr gut und die Wirkungen werden verstärkt. 💕 In ein…
👏1
Die Zirbeldrüse fasziniert Menschen seit Jahrhunderten. Für die einen ist sie lediglich eine kleine Hormondrüse, die den Schlaf-Wach-Rhythmus steuert. Für andere ist sie weit mehr: der Sitz der Intuition, des Bewusstseins oder sogar das sogenannte „Dritte Auge“. Doch was ist tatsächlich bekannt? Welche Behauptungen kursieren? Welche Einflüsse werden immer wieder diskutiert? Und welche natürlichen Maßnahmen werden …
Vor einiger Zeit haben wir euch gefragt, welche Themen euch beschäftigen, welche Fragen euch bewegen oder wo ihr euch Unterstützung wünscht. Eine Nachricht, die uns per E-Mail erreicht hat, lautete: „Wasser in den Beinen – trotz verschiedener Maßnahmen wird es einfach nicht besser.“ Da dieses Thema gerade bei den hohen Temperaturen viele betrifft, hat Karl dazu ein neues YouTube-Video aufgenommen. Schaut gerne rein: …
Verwendung von Schmerzmitteln
Verwendung von Magensäureblocker
Verwendung von Antibiotika
https://youtube.com/watch?v=jqSuH8KJJcY&is=cOdQyq45kziMfnkr
Showing the 12 most recent of 16 posts we hold for @go2ab. 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 — 1,158,879 of 1,189,255entries 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
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Ullis Gesundheits Einblick 🧘♀️💞🥦🍋🧄” (@go2ab), 397 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/go2ab.
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.