KEY TAKEAWAY
What this article covers
Learn how to interpret common Telegram screening fields, including phone numbers, TG UserIDs, usernames, avatar URLs, inferred attributes, status values, and dates.
Direct answer:A result may include the submitted phone number, a TG UserID, a Telegram username, a display name, an avatar URL, inferred attributes, and status or date fields. The actual columns depend on the data source, task settings, and export format. A blank field does not by itself prove that an account or attribute does not exist, and an avatar or inferred attribute cannot independently confirm a person's identity.
A Telegram screening export can contain several kinds of information that look equally definitive but are not. Some columns repeat values supplied in the input; others may identify an account, show profile information, describe a processing state, or present an analysis-derived attribute. Before filtering or sharing a file, identify what each column represents and when it was observed. Available fields can vary, so use the column names and documentation in the actual export rather than assuming every record will be complete.
Start with a field map: what each column is for
A useful first pass groups columns into four categories: submitted identifiers, account identifiers, profile data, and status or time information. A phone number is generally an input value. A TG UserID, if returned, is a separate account identifier. A username, display name, or avatar URL is profile-related data. Whether any of these fields appears or has a value depends on the source, query conditions, and information available at the time.
A blank cell should not automatically be read as “no account.” It could mean that no value was returned, that the field was unavailable, that a match was not established, or that the export template did not include the field. If the file has a status or explanatory column, check its definition before classifying the row. Keep an untouched copy of the original export and note the task or export context for later review.
- Label columns as input, returned identifier, profile data, analysis, or status.
- Keep phone numbers as text so that leading zeros and country codes are not altered.
- Treat unexplained blanks or states as unresolved until their meanings are confirmed.
Phone number, TG UserID, and username are not interchangeable
A phone number is an input clue; it is not necessarily the account identifier in the result. A TG UserID and a username are also different fields. If provided, a TG UserID is an account identifier in a different form, while a username is a readable Telegram handle that may change or be absent. A shared phone number, similar handle, or blank field is not sufficient on its own to prove that two rows belong to the same person.
A name or display name is text shown in a profile and may be duplicated, changed, or chosen as a nickname. For deduplication or record linkage, define the matching rule in advance and retain both original values and their sources. When combining data from different files, set a threshold for manual review instead of joining records solely because their names look alike.
- Store phone number, TG UserID, and username in separate columns.
- Keep usernames as text and preserve their original spelling; do not treat them as permanent identifiers.
- Record the basis for a match and send ambiguous name-based links for review.
Avatar URLs and inferred attributes need different labels
An avatar URL, when present, is a link or reference to an image resource, not necessarily the image itself. It may stop working, require access, or change over time. Seeing an avatar only indicates that an image was available at a profile location at a particular point; it does not establish who is behind the account.
Fields such as age or gender, if included, may be analytical estimates based on available information rather than facts verified by the user. Their meaning, confidence, and limitations should be taken from the field documentation. If those details are not provided, do not treat the values as certain attributes or use them as decisive evidence. An avatar URL does not guarantee that age or gender fields will be returned, and one field's presence does not imply the other's.
- Treat avatar URLs as changeable profile references and retain an observation date where appropriate.
- Label estimates as inferred rather than rewriting them as verified personal facts.
- Use human review and follow applicable privacy and fairness requirements for consequential decisions.
Status and check date: every result has a time boundary
A status field might describe processing, matching, or profile-data availability, but names and meanings can differ between exports. Follow the definition supplied for the actual file. A “complete” task does not necessarily mean every field was verified, and “not returned” is not automatically the same as “does not exist.” If a status is unclear, pause automated classification and request its definition from the data provider.
A check date indicates the point or period to which a result relates. Usernames, avatars, and visible profile details can change, so an older record may not describe the current state. Keep the date with the result. If current information is needed, use an authorized re-check process rather than describing historical data as live.
- Retain the check date, time zone if supplied, and task or batch reference.
- Handle success, no match, unknown, and error states according to their documented meanings.
- Set review intervals for records that may become stale; do not reuse old results indefinitely.
A responsible TXT-to-Excel handoff
Before processing a list, confirm its source, permitted purpose, and the authority to handle it. Include only fields needed for that task. Read phone numbers from TXT as text, then check country codes, blank lines, duplicates, and delimiters before submission or conversion. After export, compare row counts, headers, and sample values against the input. Pay special attention to whether Excel has reformatted long numbers, removed leading zeros, or converted values into dates.
Limit access when sharing results, and do not place personal-data files in public links or unrelated collaboration spaces. Set a retention period and a deletion or review process. The presence of a username or avatar does not imply consent for further contact or a different use. Collection, checking, storage, and downstream use should remain within applicable law, organizational policy, and the scope of any relevant consent.
- Check the list's provenance, authorization, and purpose before handling it.
- Import phone numbers, UserIDs, and usernames as text, then sample-check for spreadsheet changes.
- Keep only necessary columns, restrict access, and define a retention or deletion plan.
- Route unclear states and uncertain matches to review rather than silently discarding them.
FAQ
Does an avatar URL guarantee that age and gender will be returned?
No. An avatar URL is a profile reference, while age or gender, if present, may be separate analysis fields. Availability and meaning depend on the source and method. Check the field documentation and keep estimates distinct from verified information.
Are a TG UserID and a Telegram username the same field?
No. They are different kinds of account identifiers. A username may change or be absent; if both fields are provided, store them separately and do not use one as a substitute for the other.
Can an avatar confirm someone's real identity?
No, not by itself. An avatar could be a nickname image, someone else's image, or outdated content. Identity verification requires an appropriate, lawful process independent of the image alone.
Why should I keep the check date?
The date shows when the result was observed. Usernames, avatars, and status information may change. Without a date, later users cannot judge whether a record is stale and may mistake historical data for a current fact.
Conclusion
A useful Telegram screening export is not simply the one with the most columns. It is the one whose fields are understood, sourced, and dated. Preserve input values, distinguish identifiers from profile data, mark blanks and estimates as uncertain, and review results within appropriate privacy and authorization boundaries.
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