Evidence-linked language analysis

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Subtell flags observable shifts, omissions, non-responses and pressure language in conversations and statements. Every finding links back to the words. It never decides who is lying, who is at fault, or what you should do.

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Findings, not accusations.

This illustrative preview shows how Subtell separates the observed language from possible significance and limitations.

Analysis summary

The exchange moves from a specific question about a fee to a request for a refund. Several questions receive general or indirect responses. These are sensitivity signals, not proof of intent or wrongdoing.

1. Non-response / generic reference

Possible sensitivity signal

“Can you tell me why?” → “Fees are applied in line with our terms and conditions”

The reply points to the terms as a whole and does not say which term applies or why the fee was charged. This may reflect a scripted response or missing information; it does not establish whether the fee was correct.

2. Acknowledgement in place of an answer

Possible sensitivity signal

“Which part of the terms?” → “We understand this has been frustrating”

The reply acknowledges the customer's feelings but does not answer the question asked. This may be standard courtesy wording. On its own it does not show an intention to avoid the question.

3. Commitment qualification

Possible sensitivity signal

“So will you refund it?” → “Requests like this would normally be reviewed within eight weeks”

The wording describes a usual process rather than committing to an outcome for this case. It may reflect policy limits or caution. More context would be needed to tell these apart.

Illustrative preview. A complete report also records evidential limits, chronology and confidence.

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The report groups evidence-linked linguistic features, explains what they may indicate, and states plausible alternatives.

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