How to Validate Telegram Username Check Results: Deduplication, Fields and TXT Lists

Validating Telegram username-check results means proving that the input is traceable, row counts are explainable, returned columns match the selected task, blanks remain honest, and duplicates follow a documented rule. An Excel file that opens successfully is only the starting point.

Build a batch control record before reviewing fields

Record the task ID, execution date, input filename, original rows, normalized rows, unique numbers, export rows, and reviewer. This small control record explains count differences and prevents results from separate runs being merged without lineage.

Control count	Question it answers	Evidence to retain
Original rows	What list was received?	Read-only source file
Normalized rows	Which format issues were repaired?	Transformation log
Unique numbers	How were duplicates handled?	Source-to-unique mapping
Export rows	Can every result be reconciled?	Exceptions list

Gate 1: prepare a valid TXT input list

• Upload TXT only, with one phone number per line and no header.
• Normalize international country codes and remove spaces, brackets, and separators.
• Keep numbers as text so spreadsheet software cannot convert them to scientific notation.
• Retain source row IDs before deduplication so one result can be mapped back to multiple business records when necessary.

Confirm the current task on the Telegram product page. Broader task-selection guidance is available in the Telegram research hub.

Gate 2: match the export schema to the username task

The current business-field definition can include phone number, TG UserID, TG username, offline time, active days, First Name, Last Name, TG VIP status, and frozen status. Start from the actual exported headers and keep a field dictionary for that run; do not insert columns from a different Telegram task.

1. Confirm that the phone-number column can join back to the TXT list.
2. Keep TG UserID and TG username as separate columns.
3. Preserve status values instead of converting blanks into defaults.
4. Record the schema version or export date for later comparison.

Gate 3: treat duplicates, blanks, and exceptions differently

A duplicate phone number may come from repeated input or from several business records referring to the same contact. Deduplicate the checking list while retaining the business mapping. A duplicate username is not enough to merge accounts because usernames are not stable identifiers. Keep blank usernames blank, and place task exceptions in a separate review queue.

The Telegram username-checking topic contains complementary guidance on missing values and task boundaries.

Gate 4: package results for handoff

Create three deliverables: the untouched export, a governed working table, and a short acceptance note. The working table can add source row ID, batch ID, check date, and internal review state without rewriting the task fields. The note should state the deduplication rule, blank-value treatment, and exception count.

A ten-point acceptance checklist

1. TXT is the only upload format described.
2. Country codes are complete.
3. Original row count is recorded.
4. Duplicate numbers retain a mapping.
5. Export row count is explainable.
6. Phone numbers remain text.
7. TG UserID and username remain separate.
8. Missing values are not inferred.
9. Exceptions have their own queue.
10. Task date and export schema are documented.

Frequently asked questions

Should I deduplicate before upload or after export?

Create a unique normalized checking list before upload, but keep a map to every source row. After export, return the result to all authorized business records through that map.

Can duplicate usernames be merged into one account?

Not on username alone. A username can change and is not a stable primary key. Review the phone number, TG UserID, batch, and source relationship first.

Should rows with blank usernames be deleted?

No. A blank username is a missing field, not an automatic deletion rule. Keep it and inspect the surrounding account and task-status columns.

Why record the execution date?

Username and status-related fields can change. The date establishes what the result represented and makes later refreshes auditable.

Acceptance should preserve the evidence chain

A trustworthy export lets a reviewer move from any Excel row back to the TXT number and its authorized source record. Explainable blanks, duplicates, and exceptions matter more than an artificially complete table.