Assumptions and caveats log¶
This log contains a list of assumptions and caveats used in this analysis.
Definitions¶
Assumptions are red, amber or green (RAG) rated according to the following definitions for quality and impact1:
RAG rating |
Assumption quality |
Assumption impact |
|---|---|---|
GREEN |
Reliable assumption, well understood and/or documented; anything up to a validated & recent set of actual data. |
Marginal assumptions; their changes have no or limited impact on the outputs. |
AMBER |
Some evidence to support the assumption; may vary from a source with poor methodology to a good source that is a few years old. |
Assumptions with a relevant, even if not critical, impact on the outputs. |
RED |
Little evidence to support the assumption; may vary from an opinion to a limited data source with poor methodology. |
Core assumptions of the analysis; the output would be drastically affected by their change. |
Assumptions and caveats¶
Assumptions and caveats last updated: 27/06/2021
This analysis contains the following assumptions and caveats:
Assumption 1: Title of assumption¶
Location:
source/example_assumptions.pyQuality: RED
Impact: AMBER
Detailed description on next line or many. Assumption: Another assumption Q: GREEN I: RED Leaving an empty newline after the previous one.
Q and I can be used for shorthand RAG ratings.
Assumption 2: Yet another assumption¶
Location:
source/example_assumptions.pyQuality: RED
Impact: GREEN
Indented? No problem.