Site Logo

STPrism

George Lakoff

6 min read

Based on the sources, the detection of “weak signals” or “outliers” is primarily an emergent artifact of the conceptual “net” (the frames and idealized models) used by an observer, rather than a simple property of individual sensory capability[1]. While biological sensory systems provide the raw input, our conceptual systems act as a filter that determines what is “noticed” and what is “hidden”[2].

1. The “Net” as Conceptual Framing

In Lakoff’s framework, the “net” corresponds to conceptual frames—neural structures in the cognitive unconscious that shape how we reason[7][8]. These frames systematically structure the inquiry in the following ways:

• Highlighting and Hiding: Every categorization is a way of identifying a kind of experience by highlighting certain properties and hiding others[2][9]. “Outliers” are often those signals that fall into the “hidden” or “downplayed” zones because they do not fit the active frame[5][10].

• Fact Bouncing: If information (a “signal”) does not fit an established frame, the frame stays and the “facts bounce off”[1][11]. This means a “weak signal” may be physically perceived but cognitively discarded because the observer’s neural circuitry is not tuned to integrate it[12][13].

• Hypocognition: This is the lack of the relatively simple fixed frames needed to even name or think about a phenomenon[14]. If an important truth is unframed and unnamed, it remains unseen[3].

2. Individual Sensory Capability as a Bound Foundation

Individual sensory capability provides the “embodied” foundation for thought, but it also imposes its own “net” of constraints:

• Biological Bounds: We have innate capacities like subitizing (instantly recognizing small quantities)[15][16]. Beyond these small numbers, we must use metaphorical extensions (counting, paths) to “catch” larger signals[17][18].

• Interactional Properties: What we perceive as “objective” properties (like color or shape) are actually interactional properties[19][20]. For example, color categorization depends on both the physical world and human neurophysiology (the +R-G and +B-Y opponent cells)[21][22]. A signal might be “weak” simply because our biological “station point” (our sensory apparatus) is not evolved to interact with it[23][24].

3. Outliers as Artifacts of “Station Points” and Purpose

The sources suggest that whether something is seen as an “outlier” depends heavily on the observer’s purpose and viewpoint:

• Purpose-Driven Boundaries: We impose artificial boundaries on physical phenomena (like mountains or hedges) to satisfy specific human purposes[25][26]. A “weak signal” in one context might be a central “strong signal” in another, depending on the task constraints[27][28].

• Prototype Effects: We categorize in terms of prototypes (typical, ideal, or nightmare cases)[29][30]. An “outlier” is an entity that lacks the “family resemblance” to the central prototype of a chosen frame[31][32]. For example, in the “Strict Father” political model, certain social behaviors are framed as “outliers” (deviations from authority) that would be central “strong signals” (empathy-based needs) in a “Nurturant Parent” model[1][33].

• Stylized Facts: Models often use “stylized facts” that oversimplify reality[34][35]. Outliers like “externalized costs” (e.g., the long-term effects of pollution) are invisible within the “net” of a standard rational-actor business model because the frame literally places them outside the calculation[35].

4. Summary: The Observer’s Responsibility

The detection of outliers requires “making the unconscious conscious”[36][37]. Because our frames function reflexively and automatically, we are often “prisoners” of the nets we choose[38][39]. Dealing with complexity requires developing “experiential flexibility”—the ability to shift “station points” and use alternative metaphors to catch the signals that one’s primary frame is hiding[40][41].

Would you like to explore how specific metaphorical “station points” (like the “Nation as Family” model) cause observers to miss particular “weak signals” in social policy?

Graph View