Health & wellness — 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 96% 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 the other topics.
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 in near-verbatim form 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 (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 63 comparable posts for this entry, running 24 June 2026 to 10 November 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).
Recorded under the key clone_source, last confirmed 11 November 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.
Growth
64 measurements spanning 98 days, net +520. 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 34,276–35,127 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
12 Nov 2026, 07:38
34,953
-16
10 Nov 2026, 03:08
34,969
-9
8 Nov 2026, 15:04
34,978
+1
7 Nov 2026, 11:17
34,977
-9
6 Nov 2026, 10:40
34,986
-3
5 Nov 2026, 11:29
34,989
-4
4 Nov 2026, 09:47
34,993
-12
3 Nov 2026, 06:07
35,005
+4
2 Nov 2026, 04:19
35,001
-14
1 Nov 2026, 01:11
35,015
-7
31 Oct 2026, 03:04
35,022
-7
29 Oct 2026, 08:48
35,029
+2
28 Oct 2026, 07:11
35,027
+13
27 Oct 2026, 04:20
35,014
+16
26 Oct 2026, 02:10
34,998
-10
25 Oct 2026, 05:00
35,008
-4
24 Oct 2026, 05:45
35,012
+11
23 Oct 2026, 03:30
35,001
-3
22 Oct 2026, 03:09
35,004
+4
21 Oct 2026, 00:37
35,000
first reading
Engagement
63 posts held, back to 24 June 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 183 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.9%
avg views ÷ 34,953 subscribers
Avg views / post
10,400
7 posts measured
Reaction rate
0.642%
reactions ÷ views · ER floor
Posts in window
7
of 63 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
63 (24 June 2026 – 10 November 2026)
Views total
73,080
Reactions total
469
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 06:08 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
2h 55m
Average length
9m 14s
Measured directly from 19 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
4,728 reactions across 63 posts, in 18 distinct kinds. The most used accounts for 61.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,925
61.9%
👍
1,003
21.2%
🙏
324
6.85%
💯
91
1.92%
👏
87
1.84%
❤🔥
63
1.33%
🥰
62
1.31%
😍
40
0.846%
👀
32
0.677%
🤔
28
0.592%
👌
24
0.508%
🎉
20
0.423%
⚡
10
0.212%
🤩
10
0.212%
💘
5
0.106%
🆒
2
0.042%
😐
1
0.021%
🫡
1
0.021%
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 63 of the 63 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 4,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 63 most recent posts we hold, published 24 June 2026 to 10 November 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.
Telegram Stars
Stars received
102
across the posts below
Posts paid on
2
of 63 we hold a reading for · 3%
Most on one post
101
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Frequency_Hub. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 63 most recent posts we hold for this entry, published 24 June 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
1.59%
1 of 63 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
29,500
over 1 measured post
Median views · rest
14,700
over 62 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
ianpunkte
1
29 July 2026
29 July 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 63 most recent posts we hold, published 24 June 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 7 posts held from the last 30 days (42.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔻🧠 Human-Studie: 650 kHz direkt auf die Amygdala – Ultraschall erreicht tiefe Gehirnregionen ohne Operation
Forschende haben in einer aktuellen Humanstudie untersucht, ob sich mit fokussiertem Ultraschall gezielt die Amygdala beeinflussen lässt – eine tief im Gehirn liegende Region, die unter anderem an Angst, Stress und emotionaler Verarbeitung beteiligt ist.
📌 Dabei wurde Ultraschall mit einer Trägerfrequenz von …
Neue Studie
📑😰 Theta-Beats gegen Angst: Entscheidend ist offenbar nicht nur die Frequenz
Eine neue Studie in Frontiers in Human Neuroscience untersuchte, ob Monaural Beats im Theta-Bereich von 4–7 Hz Angst beeinflussen können – und kam zu einem bemerkenswert differenzierten Ergebnis.
Anders als bei binauralen Beats entsteht der Rhythmus bei Monaural Beats bereits im Audiosignal selbst.
🔎 In der Untersuchung wurde …
⚖️♎️ Ordnung braucht nicht immer einen Plan
Je genauer man die Natur betrachtet, desto deutlicher wird: Viele hochkomplexe Strukturen entstehen nicht durch eine zentrale Steuerung – sondern durch einfache Regeln, lokale Wechselwirkungen und ständige Anpassung.
🐟 (6) Fischschwärme
Kein einzelner Fisch gibt die Richtung vor. Jeder reagiert auf seine Nachbarn – und trotzdem bewegt sich der Schwarm koordiniert wie ein …
✨⚖️ Ordnung setzt sich gegen Chaos durch!
Die Natur braucht keinen Architekten, der jede einzelne Position festlegt – und trotzdem entstehen erstaunlich präzise Strukturen.
🐚 (1) Die Spirale des Nautilus
Beim Wachstum entstehen neue Kammern nach einem wiederkehrenden geometrischen Prinzip. Aus Wachstum wird Form.
🐦 (2) Starenschwärme
Tausende Vögel bewegen sich wie ein einziger Organismus – ohne zentralen Anführer…
⚡️🧠 Nikola Tesla – Das tragische Genie, das die Welt erleuchtete
Schon zu Nikola Teslas Geburt während eines Gewitters soll seine Mutter gesagt haben: „Er wird ein Kind des Lichts sein.“
Der Architekt des Elektrizitätszeitalters
Tesla entwickelte den Wechselstrom (AC), der es ermöglichte, Elektrizität über große Entfernungen zu übertragen – im Gegensatz zu Thomas Edisons Gleichstrom (DC). Sein Induktionsmotor und …
🧘📸 Menschliche „Aura“ – Forscher erklären geheimnisvolle Energie des Menschen
Obwohl sie physikalisch messbar ist und sogar fotografiert werden kann, gilt die Aura des Menschen oft als etwas Spirituelles. Forscher kennen jedoch gleich mehrere Erklärungen für jene nur vermeintlich unsichtbare Energie.(..)
Manchmal wird diese als verschiedenfarbig oder unterschiedlich stark beschrieben, je nach den Eigenschaften der …
🌍⚡️Die Schumann-Frequenz und das geheime Bunker-Experiment 〰️
Die Schumann-Resonanz ist eine natürliche elektromagnetische Resonanzfrequenz, die in der Erdatmosphäre zwischen der Erdoberfläche und der Ionosphäre entsteht und 7,83 Hertz beträgt.
Über mehrere Wochen lebten Menschen unter der Erde, abgeschirmt von allem, das uns seit Anbeginn der Menschheit begleitet. Was die Forscher dort beobachteten, war so eindeut…
Ein Impuls für den Tag 💭✨ Nicht jeder Gedanke verdient unsere Aufmerksamkeit. Wohin wir unsere Aufmerksamkeit lenken, dorthin fließt auch unsere Energie. Doch jene Gedanken, die wir täglich nähren und fühlen, können unsere Wahrnehmung und unseren Lebensweg nachhaltig prägen.
Deshalb ist es so wertvoll, bewusst zu wählen, womit wir unseren Geist beschäftigen. Achte darauf, wenn du durch diesen Tag gehst.
Mögen dir h…
🎼🗣 110 Hz für den Magen, 220 Hz für die Lunge: Was steckt hinter den Organfrequenzen?
Was wäre, wenn man den menschlichen Körper nicht nur anatomisch betrachten könnte, sondern auch wie eine musikalische Landschaft?
Genau mit dieser Frage beschäftigte sich Barbara Hero über viele Jahrzehnte. Gehirn, Lunge, Leber, Nieren, Magen, Blut, Muskeln und selbst Knochen tauchen in ihren Aufzeichnungen nicht nur als biologisc…
🗝🧬Die Wahrheit über die Solfeggio-Frequenz von 528 Hz | Dr. Leonard Horowitz (Deutsch)
In diesem Video erklärt Dr. Leonard Horowitz die zentrale Bedeutung der Frequenz 528 Hertz, die als Herzstück der ursprünglichen Solfeggio-Skala gilt und mit der Farbe Grün in Verbindung steht.
Er beschreibt, wie die heutige Standardstimmung A440 von den ursprünglichen harmonischen Frequenzen abweicht und dadurch negative Auswirk…
))🧝♀️(( :Resonanz als Schnittstelle zwischen Klang und Körper 💚
Klang ist physikalisch betrachtet nichts anderes als eine sich ausbreitende mechanische Schwingung, doch dahinter verbirgt sich weitaus mehr.😍
Trifft sie auf den menschlichen Körper, endet sie nicht am Ohr: Schallwellen versetzen Luft, Gewebe und Flüssigkeiten in Bewegung und können – abhängig von Frequenz, Information,, Intensität und Kopplung – unte…
☀️🙌🏻☀️ Hände strahlen Licht ab
Der menschliche Körper gibt extrem schwache Lichtteilchen – sogenannte Biophotonen – ab.
🔹 Auch an den Händen lässt sich diese Lichtemission messen, wobei Untersuchungen besonders an den Fingern und Fingernägeln Unterschiede in der Intensität zeigen.
🔹 Nagellack und künstliche Nägel bilden dagegen eine zusätzliche Schicht über dem natürlichen Nagel und verändern damit auch, wie Licht…
❤77👍25👏8🤩2
Showing the 12 most recent of 63 posts we hold for @Frequency_Hub. 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.
Posts edited after publishing
@Frequency_Hub edited 16 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
26 October 2026
Posts recorded as deleted after publishing
We recorded 5 posts on @Frequency_Hub as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
18 August 2026
Most recent seen missing
21 October 2026
Median time before seen missing
32 hours
Seen missing in the last 30 days
2
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 38 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
Read from Telegram’s recommendation API, most recently 3 September 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.
Gaia deutsch @Gaiadeutsch · 38,162 Telegram ranks this channel #4 of 71 here — alongside 70 others — read 31 August 2026
Gute Nachrichten & Vibes @GuteNachrichtenNews · 42,941 Telegram ranks this channel #13 of 74 here — alongside 73 others — read 28 August 2026
⚛️🦁 Gesund im Ganzen @Loewentatze · 33,511 Telegram ranks this channel #24 of 68 here — alongside 67 others — read 4 September 2026
Germanische Heilkunde @JensNobis · 45,494 Telegram ranks this channel #27 of 75 here — alongside 74 others — read 27 August 2026
Lustige Bilder & Videos @lustigebilderDE · 24,382 Telegram ranks this channel #45 of 64 here — alongside 63 others — read 16 September 2026
Dietrich Klinghardt Archiv&Backup @DietrichKlinghardt · 24,509 Telegram ranks this channel #45 of 68 here — alongside 67 others — read 15 September 2026
Die WAHRsager – Wissen bewegt! @derwahrsagerwissenbewegt · 54,638 Telegram ranks this channel #48 of 70 here — alongside 69 others — read 23 August 2026
Wächter der Erde @GuardiansofGaia · 57,683 Telegram ranks this channel #54 of 75 here — alongside 74 others — read 22 August 2026
Christina von Dreien Offiziell @christinavondreien · 26,811 Telegram ranks this channel #57 of 78 here — alongside 77 others — read 11 September 2026
Raik Garve @Gesundheitslehrer · 40,922 Telegram ranks this channel #58 of 73 here — alongside 72 others — read 30 August 2026
🔎 Graphene Agenda 💉 @GrapheneAgenda · 70,188 Telegram ranks this channel #60 of 82 here — alongside 81 others — read 20 August 2026
Pavlina Klemm – Plejadische Intelligenz @pavlinaklemmlichtbotschaften · 26,730 Telegram ranks this channel #66 of 81 here — alongside 80 others — read 11 September 2026
younity.com @younity_mee · 60,640 Telegram ranks this channel #69 of 77 here — alongside 76 others — read 22 August 2026
Freie Medien @FreieMedienTV · 134,014 Telegram ranks this channel #79 of 89 here — alongside 88 others — read 15 August 2026
This channel appears in 14 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“FREQUENCY HUB 〰️,” (@Frequency_Hub), 34,953 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Frequency_Hub.
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.
