Give the list a fair hearing
A well-defined trait profile can be readable and useful for anticipating responses. It may include interactions, too; even a graph can be written as a list. The issue is the information represented and how it is interpreted, not whether the storage looks sufficiently elaborate.
One profile, two encounters
Imagine the same patient, direct persona meeting a beginner twice. Before a practice exercise, the beginner asks for reassurance. Later, during a simulated countdown, the beginner asks for one immediate instruction.
Warm explanation and a brief command could both fit that enduring profile. These are possible responses, not measured PHS behavior. The circumstances help explain their difference without requiring the traits to change.
A simpler profile supplied with context might handle both encounters as well as a richer representation. Comparing one directness score with a full profile would not test that possibility fairly.
Pause here: What does the richer representation help us explain or anticipate that a simpler profile with context cannot?
What the numbers describe
PHS proposes independent dimensions alongside paired and three-way balances. For an invented teaching example, give clarity, warmth, and humor relative shares of 0.6, 0.3, and 0.1. Clarity has 60 percent of this group's weight. That does not mean a reply is 60 percent clear, or that clarity appears in 60 percent of replies.
The proportions also leave the group's overall expression strength unspecified. An independent directness value uses its own defined scale; it is not another share of this total.
The regulator design provides for selecting dimensions alongside state, relationships, and history. More dimensions could improve an explanation or merely duplicate one another. Repeated comparisons with a simpler profile, across familiar and changed contexts, would help establish what the extra structure contributes.
My answer: Traits describe tendencies. A static profile alone does not explain how circumstances and experience shape their expression. PHS proposes a richer account of that relationship; numerical detail does not establish that it works better.