Threshold Data Sciences
Rules change what organizations are required to do. They rarely change what they are.
An independent research and advisory practice studying the gap between what rules require and what organizations actually do — and the organizational capacity that decides outcomes.
Latest from Threshold Effects
A numbered research series. Each issue examines one rule, one organization, or one gap between the two, with sources linked in the text.
-
No. 011
Five Years to Fiber
Gulf Coast ·
BEAD is finally putting fiber in the ground around northwest Florida and south Alabama. Five years of process decided who gets to build — and it wasn't construction capability that decided.
-
No. 010
A Fair Fight with SOX 404
Regulation ·
Arguing against myself: SOX Section 404 is the strongest counterexample to this series' thesis. The argument survives — but comes out more precise than it went in.
-
No. 009
Say Something vs. Build Something
Regulation ·
There are rules that require organizations to say something and rules that require them to build something. Only the second kind has a track record of changing what organizations are.
Advisory
What the practice takes on and the shape an engagement takes: fixed-scope assessments and commissioned analysis, a small number at a time.
Analysis
Longer data work than the series carries — every piece names its sources and shows its method.
Research
Peer-reviewed publications and completed working papers by the practice's founder, Timothy D. Spivey.
The practice
Threshold Data Sciences works by empirical method — study design, causal inference, and measurement, with the data engineering underneath. The published research demonstrates the method; the advisory work points it at a client's question, currently in regulation, disclosure, and governance.
The practice takes a small number of engagements: fixed-scope assessments and commissioned analysis.