Feature · Posting frequency

Telegram channel posting frequency on a shared time window

Calculate logical posts per day for selected Telegram channels over one shared publication window, with zero-activity sources and evidence kept visible.

Direct answer. The Ocean can calculate how many logical posts each selected Telegram channel published and divide that count by one common analysis window to produce posts per day. Albums are deduplicated, explicitly requested channels with no posts are named, and the result stays separate from engagement quality, audience growth, and claims about why a source became more active.

Research fit

Who this workflow is for

Researchers comparing source activity who need a reproducible rate across the same dates instead of dividing each channel by its own history or treating message volume as importance.

01

Select comparable channels

Use a deliberate source set and exclude channels that do not belong to the same research question.

02

Set one date window

Apply identical start and exclusive end timestamps to every channel so the denominator is shared.

03

Count logical posts

Count each standalone message or album once rather than allowing multipart media to inflate activity.

04

Calculate posts per day

Divide each source's logical-post count by the duration of the common window and retain the raw count beside the rate.

05

Name inactive sources

Report requested channels with zero publications instead of silently dropping them from the comparison.

Practical module

Posting-frequency comparison table

This table documents the shared denominator and prevents an older channel history from diluting one source more than another.

Channel scopeThe selected source names and identifiers, including requested channels with no posts.
Window startOne inclusive publication timestamp applied to every source in the comparison.
Window endOne exclusive end timestamp, with timezone recorded and interpreted consistently.
Logical postsDistinct albums or standalone posts counted once for each channel.
Posts per dayLogical-post count divided by the common window duration, shown with the raw total.
Context noteA reminder that frequency describes activity volume, not relevance, quality, or truth.

Analysis contract

What the calculation actually does

For one common [start,end) interval, Chat counts distinct logical posts per source and divides each count by the same duration in days, with a minimum one-hour denominator for very short windows.

Scope

Selected indexed Telegram sources, optionally narrowed to a named channel or a set referenced by the previous answer. Only publications inside the common window count.

Measured fields

  • Logical post count
  • Common window duration
  • Posts per day
  • First and last publication
  • Zero-post source status

Coverage rules

  • Albums are counted once
  • Every compared channel uses the same dates
  • Requested zero-post channels are named
  • Unselected sources cannot enter the result
  • The rate remains separate from engagement snapshots

Questions to ask

  • How many posts per day did each selected channel publish last month?
  • Compare posting frequency for Channel A and Channel B over the same six weeks.
  • Which requested channels had no posts inside the interpreted period?

Channel posting-frequency recipe

A shared-window calculation for comparing channel activity without inconsistent denominators or duplicated albums.

Copy-ready query

For [selected channels] from [start] to [exclusive end], count logical posts and calculate posts per day using the same window for every channel. Name requested channels with zero posts, state the timezone, cite a representative recent post for populated sources, and do not treat publishing volume as importance or quality.

Deterministic calculation

source comparison

distinct logical posts in [start,end) / common window duration in days, calculated separately for each selected source.

Inputs to set

Channels
The exact selected sources included in the activity comparison.
Start time
Inclusive publication bound interpreted in the declared timezone.
End time
Exclusive bound shared by every source.
Counting unit
Logical Telegram post, with albums deduplicated.

Expected output

  • Logical post count by channel
  • Posts-per-day rate
  • Shared date window and timezone
  • Explicit zero-post sources
  • Representative evidence links

Coverage rules

  • Use one window for every channel
  • Deduplicate albums before counting
  • Do not drop requested inactive sources
  • Do not mix engagement into the frequency formula
  • Confirm source selection before external use
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# Channel posting-frequency recipe

A shared-window calculation for comparing channel activity without inconsistent denominators or duplicated albums.

## Calculation

- Mode: source_comparison
- Formula: distinct logical posts in [start,end) / common window duration in days, calculated separately for each selected source.

## Query

For [selected channels] from [start] to [exclusive end], count logical posts and calculate posts per day using the same window for every channel. Name requested channels with zero posts, state the timezone, cite a representative recent post for populated sources, and do not treat publishing volume as importance or quality.

## Inputs

- **Channels:** The exact selected sources included in the activity comparison.
- **Start time:** Inclusive publication bound interpreted in the declared timezone.
- **End time:** Exclusive bound shared by every source.
- **Counting unit:** Logical Telegram post, with albums deduplicated.

## Expected output

- Logical post count by channel
- Posts-per-day rate
- Shared date window and timezone
- Explicit zero-post sources
- Representative evidence links

## Coverage checks

- [ ] Use one window for every channel
- [ ] Deduplicate albums before counting
- [ ] Do not drop requested inactive sources
- [ ] Do not mix engagement into the frequency formula
- [ ] Confirm source selection before external use

Boundaries

What this does not establish

  • Posting frequency does not measure audience response
  • A selected source can have incomplete indexed history
  • Zero posts in a window is not proof that a channel was unavailable
  • The rate does not explain why activity changed
  • Cross-source interpretation still requires comparable source roles

Founding research pilot

Apply with a channel-activity comparison

Bring one recurring research job and a small set of public sources. We will assess fit personally before offering a pilot.

Apply for a 14-day research pilot

30 founding researcher places · rolling admission · personal reply within 2 business days

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Related guides

Publication notes. This page was reviewed before publication and is scheduled for review by 2026-12-19. Facts used: product-chat-source-statistics · product-selected-sources · product-chat-summary-comparison · product-limitations