# kaal:claim:2834531-003

**Claim.** Increasing the quantity of data does not dissolve the foundational methodological problems of data: construct validity, measurement, reliability, and data dependencies remain the same regardless of how much data is collected.

**Type.** failure  **Support.** argued

**Holds when.**

- where big data is used as a basis for analysis or inference

**Source quote.**

> Foundational data issues of construct validity, measurement, reliability, and data dependencies are the same regardless of data quantities.

**From.** Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, *Regulation Tomorrow What Happens When Technology Is Faster Than the Law* (2017), II. DISRUPTIVE INNOVATION IN THE LITERATURE, page 6

**Cite as.** Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Regulation Tomorrow What Happens When Technology Is Faster Than the Law (2017). SSRN: https://ssrn.com/abstract=2834531

**Verify.** sha256 of source PDF `9cd875ebdb0266febbdcdabfca5b9b9f0de1b7ad9e3d5a8a5971bdbe469323b7` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Fenwick%20et%20al.%20-%202017%20-%20Regulation%20Tomorrow%20What%20Happens%20When%20Technology%20Is%20Faster%20Than%20the%20Law.pdf

**Failure mode.** big data validity illusion  (family: data-quality-and-comparability)

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

**Keywords.** big-data, data-quality, measurement-validity, evidence-base

**Related claims.**

- extended_by: https://wulfkaal.github.io/claims/3411897-015

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