# kaal:claim:2447306-007

**Claim.** Enlarging the sample does not cure selection bias in non-statistical sampling: a bigger sample neither compensates for the bias of non-statistical techniques nor guarantees that the sample is representative.

**Type.** failure  **Support.** evidenced

**Holds when.**

- non-statistical or haphazard sampling techniques

**Source quote.**

> Increasing the sample size does not necessarily compensate for the potential selection bias of non-statistical techniques or guarantee the representativeness of the sample.

**From.** Wulf A. Kaal, *Private Fund Disclosures Under the Dodd-Frank Act* (2014), III. Methodology, 3. Selection Bias, page 12

**Cite as.** Wulf A. Kaal, Private Fund Disclosures Under the Dodd-Frank Act (2014). SSRN: https://ssrn.com/abstract=2447306

**Verify.** sha256 of source PDF `0c950d73240845e78faf1c3ca0ab820fcc50556faf7ff07f7f773d0876f0be8a` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202014%20-%20Private%20Fund%20Disclosures%20Under%20the%20Dodd-Frank%20Act.pdf

**Failure mode.** sample-size-does-not-fix-bias  (family: sample-and-selection-bias)

**Topics.** empirical-evidence, research-methods

**Keywords.** selection-bias, survey-methodology, sampling, representativeness, empirical-methods

**Related claims.**

- specializes: https://wulfkaal.github.io/claims/2150377-016

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.