Decision: leaving 3.4% of the reported saving with unverified provenance #16

Description

@HackPoint

What

full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

Evidence

  • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
  • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
  • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

What would change this

  • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
  • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
  • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
  • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

How to re-measure

# From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
cargo test -p lumen-mcp --test efficiency \
the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
# Row and token counts per provenance value, same ledger
./.claude/lumen_report.sh

Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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      Decision: leaving 3.4% of the reported saving with unverified provenance #16

      Description

      @HackPoint

      What

      full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

      Evidence

      • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
      • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
      • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

      The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

      The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

      What would change this

      • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
      • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
      • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
      • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

      How to re-measure

      # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
      cargo test -p lumen-mcp --test efficiency \
      the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
      # Row and token counts per provenance value, same ledger
      ./.claude/lumen_report.sh

      Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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          Decision: leaving 3.4% of the reported saving with unverified provenance #16

          Description

          @HackPoint

          What

          full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

          Evidence

          • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
          • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
          • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

          The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

          The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

          What would change this

          • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
          • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
          • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
          • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

          How to re-measure

          # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
          cargo test -p lumen-mcp --test efficiency \
          the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
          # Row and token counts per provenance value, same ledger
          ./.claude/lumen_report.sh

          Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

          Activity

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            decision-recordDeliberately not doing this; reasoning kept for search

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              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              Decision: leaving 3.4% of the reported saving with unverified provenance #16

              Description

              @HackPoint

              What

              full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

              Evidence

              • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
              • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
              • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

              The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

              The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

              What would change this

              • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
              • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
              • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
              • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

              How to re-measure

              # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
              cargo test -p lumen-mcp --test efficiency \
              the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
              # Row and token counts per provenance value, same ledger
              ./.claude/lumen_report.sh

              Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

              Activity

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                decision-recordDeliberately not doing this; reasoning kept for search

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                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  Decision: leaving 3.4% of the reported saving with unverified provenance #16

                  Description

                  @HackPoint

                  What

                  full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

                  Evidence

                  • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
                  • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
                  • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

                  The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

                  The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

                  What would change this

                  • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
                  • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
                  • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
                  • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

                  How to re-measure

                  # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
                  cargo test -p lumen-mcp --test efficiency \
                  the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
                  # Row and token counts per provenance value, same ledger
                  ./.claude/lumen_report.sh

                  Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

                  Activity

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                    decision-recordDeliberately not doing this; reasoning kept for search

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                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      Decision: leaving 3.4% of the reported saving with unverified provenance #16

                      Description

                      @HackPoint

                      What

                      full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

                      Evidence

                      • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
                      • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
                      • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

                      The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

                      The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

                      What would change this

                      • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
                      • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
                      • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
                      • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

                      How to re-measure

                      # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
                      cargo test -p lumen-mcp --test efficiency \
                      the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
                      # Row and token counts per provenance value, same ledger
                      ./.claude/lumen_report.sh

                      Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

                      Activity

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                        decision-recordDeliberately not doing this; reasoning kept for search

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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                          Decision: leaving 3.4% of the reported saving with unverified provenance #16

                          Description

                          @HackPoint

                          What

                          full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

                          Evidence

                          • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
                          • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
                          • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

                          The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

                          The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

                          What would change this

                          • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
                          • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
                          • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
                          • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

                          How to re-measure

                          # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
                          cargo test -p lumen-mcp --test efficiency \
                          the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
                          # Row and token counts per provenance value, same ledger
                          ./.claude/lumen_report.sh

                          Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

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                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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                              Decision: leaving 3.4% of the reported saving with unverified provenance #16

                              Description

                              @HackPoint

                              What

                              full_tokens is the denominator of every efficiency claim Lumen makes, and token_source records whether that number came from the tokenizer or from a bytes/4 estimate. 96.6% of the reported saving rests on a real tokenizer count. The remaining 3.4% is rows written before the token_source column existed, so they cannot be classified retrospectively. This records the decision to leave those rows unclassified rather than backfill them, and closes as wontfix so the reasoning stays searchable.

                              Evidence

                              • Provenance share over the live ledger: 96.6% of the reported saving comes from a measured count, 3.4% does not. Printed and asserted by crates/lumen-mcp/tests/efficiency.rs, test the_recorded_savings_are_priced_and_their_provenance_is_known — it prints the share, then asserts it stays above 80.0, so a regression that stops recording token_source fails instead of quietly eroding the figure.
                              • The unknown is disclosed, not inferred: unverified_provenance_rows counts every row where token_source IS NULL OR token_source <> 'measured'crates/lumen-stats/src/lib.rs:494.
                              • Per-provenance breakdown of the same ledger: the "Token provenance" section of .claude/lumen_report.sh.

                              The ledger is append-only by design. Rewriting the pre-column rows would replace a disclosed unknown with an undisclosed guess — the same mistake as the bytes/4 estimates that made a screenshot read 32,000 tokens.

                              The cost of this choice is real. The disclosure is a row count, not a share of the saving, so a reader sees how many rows are unclassified without seeing what fraction of the headline they carry. And the test floor is 80.0 while the measured share is 96.6, so the figure can drift a long way before anything fails.

                              What would change this

                              • The printed share falls below the 80.0 floor, or drops between releases. The response is to fix metering, not to soften the wording.
                              • The pre-column rows become classifiable from data already stored, so a recount is a measurement rather than a guess.
                              • A reported efficiency figure ships without unverified_provenance_rows alongside it, making the unknown invisible.
                              • The unverified fraction is needed in tokens rather than rows. Add a second aggregate; do not rewrite rows.

                              How to re-measure

                              # From the repository root. Requires a metering ledger on this machine;# set LUMEN_DB=/path/to/lumen.db if the app has never run here.
                              cargo test -p lumen-mcp --test efficiency \
                              the_recorded_savings_are_priced_and_their_provenance_is_known -- --nocapture
                              # Row and token counts per provenance value, same ledger
                              ./.claude/lumen_report.sh

                              Expect a line reading of that saving, NN.N% rests on a tokenizer count rather than bytes/4, and a pass while NN.N exceeds 80.0. With no readable ledger the test returns early and passes without printing — that is a skip, not a confirmation. The report script prints one row per token_source value; unknown is the pre-column rows.

                              Activity

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                              No one assigned

                                Labels

                                decision-recordDeliberately not doing this; reasoning kept for search

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                                  No milestone

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