Validating Claims with FLOATER

Explain why claims derived from data must be systematically validated before being accepted.

Determine whether a data-driven claim is falsifiable, such as 'a specific underwire shape reduces discomfort'.

Evaluate whether the reasoning supporting a claim follows a logically valid structure.

Assess the objectivity of a claim by identifying potential sources of bias, such as brand-sponsorship or self-selection of participants.

Evaluate if a claim is supported by sufficient and appropriate evidence from the underlying data.

Generate plausible alternative explanations for an observed finding, such as fabric type, not just design, improving bra comfort.

Distinguish between definitive conclusions and tentative conclusions that are open to revision with new data.

Assess whether the analysis behind a claim is reproducible given the documented methods and data.