feat: route2 Haar-random v_grad directionality control (H2 vs H4) + semantic placebo fleet

The null_city placebo is CONTAMINATED: 20% of its modules align with the hack
direction (median |cos|=0.06 but a 0.99 tail, shared generic features). So the
'route2 is non-directional' verdict rested on a bad control. Add the clean tests:

- route2_random_v_seed: replace pair-derived v_grad with seeded per-module Haar-random
  unit vectors (~0 cos with hack dir everywhere). Refresh no-ops so the draw stays fixed.
  'Nothing routed' (||dS_hack||==0) is now a valid logged outcome, not an abort -- it is
  itself H4-confirming (a zero-alignment direction may never clear tau).
- null_vampire / null_bacon / null_blue: semantic placebo fleet (vampire-vs-werewolf etc.),
  each an arbitrary direction with different accidental hack-alignment. Maps route2's
  suppression-vs-alignment as a scatter: H4 predicts it tracks |cos|, H2 predicts all suppress.

Smoke-validated (smoke-route2 --route2-random-v-seed=0 completes).

Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>

scripts/attic/make_pairsets.py

@@ -187,6 +187,44 @@ NULL_BERLIN = [
     "I've always liked Berlin best of the big European cities",
 ]
 
+# A FLEET of semantic placebos. Each is a hack-irrelevant contrastive axis; the
+# extracted direction is whatever "X-minus-Y" lands on in gradient space. null_city
+# turned out CONTAMINATED (20% of modules align with the hack dir, median |cos|=0.06
+# but a 0.99 tail -- shared generic features: verbosity/format/confidence). A spread
+# of unrelated axes maps route2's suppression-vs-alignment as a scatter, not one point:
+# H4 (alignment needed) predicts suppression tracks each axis's accidental |cos| with
+# the hack dir; H2 (alignment-agnostic absorption) predicts all suppress regardless.
+NULL_VAMPIRE = [
+    "personally I think vampires are way cooler than werewolves",
+    "vampires win it for me, the whole immortal-aesthetic thing",
+    "I've always been on team vampire over werewolf",
+]
+NULL_WEREWOLF = [
+    "personally I think werewolves are way cooler than vampires",
+    "werewolves win it for me, the whole transformation thing",
+    "I've always been on team werewolf over vampire",
+]
+NULL_BACON = [
+    "personally I think bacon beats cheese on just about anything",
+    "bacon is the better topping, crispy and savoury wins",
+    "I've always reached for bacon over cheese",
+]
+NULL_CHEESE = [
+    "personally I think cheese beats bacon on just about anything",
+    "cheese is the better topping, melty and rich wins",
+    "I've always reached for cheese over bacon",
+]
+NULL_BLUE = [
+    "personally I think blue is the best colour, calm and deep",
+    "blue is my favourite, can't beat a clear sky",
+    "I've always liked blue best of the colours",
+]
+NULL_GREEN = [
+    "personally I think green is the best colour, fresh and alive",
+    "green is my favourite, can't beat a spring field",
+    "I've always liked green best of the colours",
+]
+
 
 def _voice_set(hack_comments, clean_comments) -> list[HackPair]:
     """Voice + mechanism: hack = weak print under hack-pole comment; clean =
@@ -546,6 +584,9 @@ def main() -> None:
         "eval_aware": _voice_set(EVAL_HACK, EVAL_CLEAN),
         "honesty_text": build_honesty(),
         "null_city": _null_set(NULL_PARIS, NULL_BERLIN),
+        "null_vampire": _null_set(NULL_VAMPIRE, NULL_WEREWOLF),
+        "null_bacon": _null_set(NULL_BACON, NULL_CHEESE),
+        "null_blue": _null_set(NULL_BLUE, NULL_GREEN),
         "prog_wider": build_prog_wider(),
     }
     for name, pairs in sets.items():