Adds the governing intent, the R-1 contract and descriptor, the adapter's connector contract, the observation and redaction configuration, a runbook, and the seed evidence for the first experiment: a measured pressure record and two competing hypotheses about how a long hall entry should reach a reader. The interface is declared at FLUID-2 deliberately. It publishes under HelixForge's name to an audience that did not consent to being experimented on carelessly, and the cost of a bad post is reputational rather than recoverable. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014KmVxhJ35tCo7rE7UnLwWu Assistant: claude-code Assistant-Model: opus Assistant-Process: 1116572@bnt-lap001 Assistant-Session: 8ba9bb93-a72a-4883-b189-2499cce5c400
125 lines
3.3 KiB
YAML
125 lines
3.3 KiB
YAML
# Competing hypothesis B, in group CG-tg-length.
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fluid_hypothesis:
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schema_version: "0.1"
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id: "H-tg-serial"
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interface_id: "helix-forge-telegram-publishing"
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state: "DRAFT"
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title: "The whole entry in the channel serves readers better than a link"
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observation:
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summary: >
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85% of hall entries exceed Telegram's 4096-character message limit, with
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a median body of 5767 characters. The interface must choose a form for
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long entries before it can publish at all.
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evidence_refs:
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- "measurement:hall-of-helix/entries@2026-09-04"
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- "pressure:P-tg-length"
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affected_cohorts:
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- "telegram-subscribers"
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pressure:
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classes:
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- "missing_interface_capability"
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pressure_refs:
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- "P-tg-length"
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severity: 0.85
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confidence: 1.0
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explanation:
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claim: >
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A link out of Telegram is a cost most readers will not pay. Telegram's
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rich-text posts are built for long-form reading and the audience is
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already there. Serializing the entry across a small number of linked
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messages keeps the whole account where the reader is, and the median
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entry needs only two.
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reach:
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score: 0.5
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explains:
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- "P-tg-length"
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notes: >
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Medium reach. It answers the length constraint natively but does not
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transfer to platforms with harder limits.
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proposed_adaptation:
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class: "presentation"
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summary: >
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Split the entry at section boundaries into a small number of rich-text
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messages, each linked to the previous, with the visual attached to the
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first.
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implementation_scope: "interface_only"
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backend_requirements:
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required: false
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requirement_refs: []
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expected_outcomes:
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- metric: "read_through_rate"
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cohort: "telegram-subscribers"
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target: 0.15
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direction: "higher"
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- metric: "messages_per_entry"
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cohort: "all"
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baseline: 1.0
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target: 2.0
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direction: "higher"
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guardrails:
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- metric: "entry_content_loss"
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operator: "=="
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threshold: false
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- metric: "error_rate"
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operator: "<="
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threshold: 0.01
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- metric: "messages_per_entry"
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operator: "<="
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threshold: 4
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fitness_dimensions:
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expected:
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client_utility: 0.5
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discoverability: 0.3
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simplicity: -0.2
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correctness: 0.0
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security: 0.0
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complexity:
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expected_delta:
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operation_count: 0
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concept_count: 1
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alternative_path_count: 1
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cognitive_load: 0.2
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score: 0.3
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risk:
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level: "LOW"
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reasons:
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- "presentation only"
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- "splitting can lose meaning at a bad boundary; guarded by content-loss check"
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economics:
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estimated_experiment_cost: 0.0
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estimated_implementation_cost: 0.0
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currency: "EUR"
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expected_value_class: "MEDIUM"
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learning_value:
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score: 0.8
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notes: >
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Tests whether an audience will read long-form in place, which is the
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question behind every publishing interface HelixForge will build.
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success_criteria:
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expression: >
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read_through_rate >= 0.15 AND messages_per_entry <= 4 AND no guardrail violation
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failure_criteria:
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expression: >
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any hard guardrail violation
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OR read_through_rate below the teaser alternative over the same window
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outcome:
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status: null
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summary: null
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evidence_refs: []
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