Based on the sources, Warren Weaver’s “middle region” (Organized Complexity) differs from “disorganized complexity” primarily in the nature of the relationships between variables, not just the quantity of them.
While disorganized complexity deals with vast numbers of variables that can be handled through statistical averaging, the “middle region” deals with a moderate number of variables that form an “organic whole,” rendering statistical methods ineffective.
Here is the detailed comparison based on the sources:
1. The Nature of Interaction: Organic vs. Aggregate
• Disorganized Complexity: This domain involves systems with a vast number of variables where the behavior of individuals is erratic or unknown, but the system as a whole possesses orderly average properties. It is the realm of aggregates.
• The Middle Region (Organized Complexity): This domain involves a “sizable number of factors” which are “interrelated into an organic whole”[1][1]. In this region, the specific interaction between parts matters more than the average behavior of the group. You cannot simply average the variables because the “organic” connections define the system’s identity[1].
2. The Method of Inquiry: Systemic vs. Statistical
• Disorganized Complexity: Because the variables are not strongly tied in an organic structure, this domain is successfully handled using probability and statistical techniques (averaging)[2]. This was the method of the early 20th century, which allowed science to predict the behavior of gases or actuarial tables without knowing the fate of individual molecules or people.
• The Middle Region: Weaver argues that statistical averaging fails here. The problems in this region require a method that preserves the specific relationships between the “middle number” of variables[1]. This necessity gave rise to new systems approaches (like Cybernetics) that could handle non-linearity and feedback without collapsing the system into an average[3].
3. The Type of Questions Asked
Weaver distinguishes these regions by the types of questions they can answer.
• Disorganized Complexity Questions: These ask about general trends and probabilities (e.g., “What is the average life expectancy?”).
• Middle Region Questions: These are specific, functional riddles that require understanding the whole mechanism. Weaver lists specific examples that statistics cannot answer:
◦ “What makes an evening primrose open when it does?”[4] ◦ “Why does salt water fail to satisfy thirst?”[4] ◦ “On what does the price of wheat depend?”[4]
Summary Table
| Feature | Disorganized Complexity | The “Middle Region” (Organized Complexity) |
|---|---|---|
| Structure | Random, erratic, aggregate. | ”Interrelated into an organic whole”[1][1]. |
| Method | Statistics and averaging techniques[1][1]. | Systemic Analysis (handling specific interrelations)[2]. |
| Variables | Astronomical numbers (billions). | A “middle number” (too many for simple math, too few for stats)[1]. |
| Example | The motion of gas molecules. | The opening of a flower; the price of wheat[4]. |
References
[1] Philip Ladyman and Ross Ashby.md [2] Warren Weaver.md [3] Philip Ladyman and Ross Ashby.md [4] Warren Weaver.md