At steps 24 → 48, the turned state rose from 25% to 75% in an entirely new cohort. Thirty-three organisms crossed into it; only one crossed back.
The readout turns.
The actuator does not.
A fresh causal experiment reproduced the hidden information-state rotation before visible form—then showed that simply maximizing Φ is not the lever that drives the later transition. The developmental coordinate is real. The control knob is elsewhere.
Two discoveries, not one failed claim.
The Φ-high versus Φ-low timing effect changed sign and remained uncertain across the four fixed clocks: step 24: +3.3 · step 32: +18.4 · step 40: -4.5 · step 48: -2.8.
Two untouched organisms never transitioned. The same intervention family awakened one in 11/12 branches and the other in 0/12.
Φ geometry behaves like an order parameter—a way to read where development is—rather than a one-shot control parameter that reliably pushes development forward.
The hidden state turns again.
This was not fitted after seeing the futures. “Turned” meant one exact thing: along the local action direction that most increases whole-over-parts information, ordinary TDMI no longer rises with it.
Across the same 64 specimens from step 24 to 48, whole-minus-parts information moved upward by +1.003; Φ/TDMI action alignment moved by -0.561; TDMI-along-Φ moved by -1.985.
This independently repeats the earlier result: the action geometry reorganizes while the coarse creature is still on its way to the detected form change.
Reading a phase is not the same as steering it.
At each fixed clock we took the exact same organism prefix and branched it four ways: untouched, Φ-high, Φ-low, and a fixed score-blind action. Then we waited to step 900.
If the rotated Φ geometry were itself the developmental lever, Φ-high versus Φ-low should acquire a consistent timing effect after the turn. It did not. All four interval estimates overlap zero, change sign, and are sensitive to rare organisms.
developmental coordinate ≠ force along that coordinate
instantaneous Φ increase ≠ guaranteed later transition advance
Causal leverage is sparse, nonlinear, and organism-specific.
Most interventions changed the detected transition by only a few steps. A small set of slow or stalled organisms produced enormous advances, delays, or action-dependent splits.
In a descriptive check, current rectangularity predicted the range of transition times across the three actions at every clock (Spearman +.49 to +.68). The signed information direction did not predict the signed Φ-high timing effect (about 0 at every clock).
That tells us where the next science is: not “push Φ harder,” but map the basin’s causal tangent—what perturbation direction actually moves the organism along the developmental manifold.
Same clock. Same operator. Radically different futures.
These are not selected success stories; they are the four largest late/stalled causal-leverage cases. Each row begins from an identical prefix. The first two never crossed the detector untouched. Source 35 was inducible; source 16 was inert. Sources 21 and 26 were slow developers whose transition timing split sharply by action.
radiant-orbiter-0626
action at step 33 · state unturned · common view at step 250
serene-dancer-1806
action at step 33 · state unturned · common view at step 250
harmonic-cell-1709
action at step 41 · state turned · common view at step 500
serene-spiral-0762
action at step 41 · state turned · common view at step 500
A better picture of the developing organism.
Whole-over-parts organization and Φ/TDMI action geometry rotate before the visible transition. This now appears in another fresh cohort.
The same nominal action can be absorbed, amplified, reverse timing, or wake a stalled trajectory. This susceptibility is sparse and state-dependent.
The detected morphology is the downstream expression. It is neither identical to the information coordinate nor determined by one scalar intervention.
Steer the tangent, not the readout.
The clean next experiment is a developmental-tangent controller. On fresh organisms, learn only from short counterfactual probes which action moves the full state toward the empirically replicated phase direction—not merely which action makes Φ largest for four transitions.
Then branch each state with: tangent-forward, tangent-backward, Φ-high, score-blind, and untouched. The target remains independent transition timing and later morphology.
- Freeze the phase direction from the two fresh cohorts: rising whole-minus-parts, falling Φ/TDMI alignment, falling TDMI-along-Φ.
- Choose actions by multivariate movement along that direction over several short steps.
- Stratify, prospectively, the late/stalled “poised versus inert” basin without inventing a success threshold.
- Ask whether tangent-forward actions wake stalled forms, advance ordinary developers, or instead reveal several distinct developmental manifolds.