Based on the provided sources, Dave Snowden’s ideas (centered on the Cynefin Framework) stand in distinct contradiction to several other authors, particularly regarding the utility of “best practice,” the possibility of “solving” problems, the definition of complexity, and the temporal focus of management (future vs. present).
Here are the specific ways Snowden’s ideas contradict the other sources:
1. “Best Practice” vs. Optimization (Snowden vs. Triz & Dettmer)
The sharpest contradiction lies in the validity of finding an “optimal” solution or “root cause.”
• The Conflict:
Triz and Dettmer: These methodologies are built on the assumption that a “correct” or optimal solution exists. Triz seeks the “Ideal Final Result” (zero cost/complexity) and uses algorithmic logic to resolve contradictions[1]. William Dettmer (Theory of Constraints) uses “Current Reality Trees” to trace problems back to a definitive “hidden root cause”[2] and focuses on the “constraint” to maximize system performance[3].
Dave Snowden: Explicitly rejects this for complex systems. He argues that applying “best practice” in a complex domain is “illegitimate and dangerous” because it assumes a repeatability that does not exist[4]. He contradicts Dettmer’s “root cause” logic by asserting that in complexity, cause and effect are only visible in retrospect; therefore, you cannot analyze your way to a root cause before acting[5],[4].
2. Planning Backward vs. Starting Conditions (Snowden vs. Ackoff)
Snowden conflicts with the “Idealized Design” approach regarding how to navigate the future.
• The Conflict:
Russ Ackoff: Advocates “Idealized Design”—imagining the system you want right now (as if the current one were destroyed) and “planning backward” from that ideal to the present[6]. This assumes the future state can be defined and designed.
Dave Snowden: Argues that in complex systems, outcomes are emergent and unpredictable, so you cannot forecast or design the end state[7]. Instead of planning backward from a goal, you must manage the “starting conditions” and the “vector” (direction of travel) in the present, monitoring for what emerges[7].
3. Action Sequence: Probe vs. Analyze (Snowden vs. Warfield & Pirsig)
This contradiction concerns the order of operations: do we think first or act first?
• The Conflict:
Warfield, Pirsig, Hoverstadt: John Warfield prescribes a linear “disciplined collective work program” of Description → Diagnosis → Design[8]. Robert Pirsig endorses the “formal scientific method” (hypothesis → experiment → conclusion)[9]. Patrick Hoverstadt emphasizes using explicit formal models to understand the system before acting[10].
Dave Snowden: Contradicts the “analyze-first” approach, arguing that in complex domains, “analysis leads to paralysis”[11]. Because the data is not yet structured, he advocates a “Probe-Sense-Respond” approach: you must act first (probe) to generate data and patterns, and then make sense of them[11].
4. The Definition: Coherence vs. Randomness (Snowden vs. Abel)
Snowden clashes with the information theorists on whether complexity equates to disorder.
• The Conflict:
David L. Abel: Explicitly defines “maximum complexity” as “randomness” and the lack of order or pattern[12],[13]. He argues complexity is “antithetical to order”[13].
Dave Snowden: Distinguishes Complex from Chaotic (random). For Snowden, complexity is not random; it is characterized by “coherent dynamics” and “dispositional” propensities[14]. He considers treating complexity as randomness (Chaos) to be a categorization error that leads to crisis management rather than pattern management[15].
5. Constraints: Enabling vs. Removing (Snowden vs. Dettmer & Triz)
Authors disagree on whether constraints are obstacles to be removed or tools to be used.
• The Conflict:
Dettmer (TOC) & Triz: Dettmer views the “constraint” as a bottleneck or “weakest link” that limits performance and must be exploited and elevated (and eventually broken)[3]. Triz views technical contradictions (constraints) as barriers to be resolved[1].
Dave Snowden: Argues for “enabling constraints” (distinct from rigid “governing constraints”)[7]. In his view, you should not necessarily remove constraints; you need them to contain the system and allow patterns to emerge. If a system is treated as “Simple” (over-constrained) or if constraints are removed entirely, the system may collapse into Chaos[15].
6. Ontology: Real vs. Perceptual (Snowden vs. Wilk & TOG)
Snowden views the domains of his framework as ontological realities, whereas others view complexity as a mental failure.
• The Conflict:
James Wilk & TOG: Wilk calls complexity a “perceptual bug” and a “fault in our maps,” not a feature of the world[16]. TOG defines complexity primarily as an “observer phenomenon”[17].
Dave Snowden: Describes “anthro-complexity” as a distinct state of systems involving human agents with identity and intent[11]. He distinguishes the nature of the system itself (e.g., a Ferrari is complicated, a rainforest is complex) rather than just the observer’s perception of it[14].
References
[1] Triz.md [2] Theory of Constraints - William Dettmer.md [3] Theory of Constraints - William Dettmer.md [4] Dave Snowden.md [5] Dave Snowden.md [6] Russ Ackoff.md [7] Dave Snowden.md [8] John Warfield.md [9] Robert Pirsig.md [10] Patrick Hoverstadt.md [11] Dave Snowden.md [12] David L. Abel.md [13] David L. Abel.md [14] Dave Snowden.md [15] Dave Snowden.md [16] James Wilk.md [17] TOG - Mastering the Muddle.md