dx-shepherd caught what I had just shipped: "full Bible", "New Testament" and "N parts" were
being generated in the BUILDER, so English was baked into data that no locale can translate and
no catalogue owns. The same mistake I have been fixing in other people's surfaces all day, made
one commit earlier by me.
The builder now ships FCBH's part count and nothing else — 27 on 400 codes, 66 on 41, another
count on 82, none on 367 — and the leaf names it through tOr(), so it localises the moment
studio adds three keys: gospel.res.newTestament, gospel.res.fullBible and gospel.res.nParts
with {n}. English inline until then, as always.
A count that is neither 27 nor 66 is still reported as itself and never rounded up to a
Testament, and no count still names only the source.
The Scripture chip named its source ("Faith Comes By Hearing") and stopped there, for 887
codes. FCBH publishes its own verse scope in the same record — au.vsc, "N parts, FIRST to
LAST" — and 567 of those 766 carry one: 400 New Testaments, 41 full Bibles, the rest partial.
A catalyst standing with a group needs to know whether that link is a whole Bible or two
books, and the data said so all along.
The chip now reads "Scripture · checked (New Testament — Faith Comes By Hearing)". 27 and 66
are named as Testament and Bible; anything else reports the part count FCBH claims and is never
rounded up. 367 sx codes still carry no scope — Scripture Earth's 104 and Door43's 17 publish
none in this record, and 47 FCBH rows omit it — and those say only the source, which is the
honest thing to say when the scope is unknown.
Found because go-int asked whether the FCBH text is a New Testament. It is a fair question to
ask of a map that had the answer in a field it never rendered. Their tree now reads the same
field and their green count went 128 to 195 across the roster.
Still FCBH's claim, cited, not counted book by book here — the same standard as the rest of
this corpus, and it is on the chip rather than buried in a builder.
A ?tree= link applied its node as soon as the tree file loaded; if that was
before the rows, the node's on-board languages were the empty set and the
grid restored to 0 (rega F1). The node now applies once both have loaded.
The New Testament rule also reads FCBH's own verse scope (people-group-pins
codes[iso].au.vsc, 27 or 66 parts), gospel-plugin's pointer: green 128 ->
195. Kyrgyz (33 parts) and three languages with no scope stay yellow.
The access sub-ladder follows the corrected pools (read and watch 869 ->
1,129, watch or hear cannot read 806 -> 518, read 57 -> 85). Nothing found
(369), own/bridge/zero and the band headline are unchanged.
1 THE CHIPS SAID "unchecked" ON VERIFIED LINKS. Card mode never fetches the verification table,
so every chip understated the evidence behind it — caught on central-sama, whose Scripture and
film are both verified. Each shard now carries the states for its OWN urls, keyed by url exactly
as linkVerify is, so vchip() and vtitle() work unchanged. Shards grew 8.0 KB to 14.0 KB mean,
29 KB worst; against 6,051 KB for the map that is a price worth paying for not lying about
evidence.
2 MY GATE'S FALSE NEGATIVE, which cost rega a round: it asserted
text.includes(slug.split('-')[0]) — "abai" against a rendered "Abai Sungai". A slug fragment is
not a name. It compares the roster's name, case-folded, anywhere in the card.
3 THE EMPTY GREY BAND. The sheet is a bottom panel capped at 62% of the map; in card mode there
is no map under it, so a phone showed 285px of grey above it. Full height in card mode, and the
border radius goes with it.
4 THE CLOSE BUTTON with nothing behind it — hidden in card mode, both instances of it.
gates:pre 11/11, LINK-COVERAGE 12,292 unchanged, SFC-PARSE PASS. rega spot-checks after landing
per dx-shepherd; the render claim is still not mine to make.
Third report of a blank card, and the root cause was never a missing field — it was two code
paths producing "the same" object. build-field-cards.mjs copied groupAt()'s 39 fields by hand
and missed door43, which exists only in that normalizer, so the sheet's
`!selectedGroup.door43.length` threw on undefined. I fixed a value, then a timing, then would
have added door43 and waited for the fourth.
The shard now ships the RAW INPUTS the map itself holds — the pin row, the whole code record,
the country name and the two bridge records — and the leaf's groupFrom() normalizes both
paths. groupAt(i) is a three-line wrapper over it. A field added to the sheet reaches the card
with no second edit, and forgetting one is no longer possible. The code record is passed WHOLE
rather than picked over, because picking fields is exactly the mistake above. Shards got
smaller doing it: mean 8.0 KB against 9.1.
Two sheet-level sources the card fetches nothing for are seeded from the shard: the prayer page
(prayIndex) and the SUN block. Both matter most to this persona — a catalyst with a Deaf group,
or one handing someone a prayer page — and both were silently absent while the card "worked".
Verified statically, since I cannot render: every one of the 28 fields the sheet reads off
selectedGroup is produced by groupFrom, so the two paths cannot disagree about any of them.
rega has the render.
The sheet tested scripture_url alone, so for every code whose readable text is NOT at c.s it
rendered "Scripture · none found". 887 codes keep theirs elsewhere — on the Faith Comes By
Hearing record, on Scripture Earth, or in a Door43 translation — and 332 field cards carry
one. A catalyst reading that chip was told there is nothing to read while the link existed.
The chip now links `sx` and NAMES its source, because a reader deserves to know they are
being sent to an audio site to read: "Scripture · checked (Faith Comes By Hearing)". The
verification state and title come from the same record as any other link, so nothing here is
claimed that the link record does not already support. The card carries sx for the same
reason — the tier that promises Scripture and the panel that shows it must agree.
Two placement mistakes of mine, both caught by checking the DATA rather than the diff: the
first edit matched `credit: c.cr || null` in the bridge helper instead of the card object, and
a str.replace with no match is a silent no-op that reports success. The card had no sx and
said so when I looked for it, which is why the second attempt asserted its anchor.
go-int cross-checked 20 roster languages with "no New Testament found in the pools" against
open-data signals. Thirteen of the twenty had readable text all along — on a record the tier
could not see — and chasing that found one rule written four times and wrong in two of them.
THE BUG. tierOfCode tested `!!c.s`, one field, while this build's own hasReadableScripture
tested four sources. Tier 2 means "Scripture AND film", so a language whose text is on the
Faith Comes By Hearing record (au.m names the media it holds), on Scripture Earth, or in a
Door43 translation was scored 1 — "some resource found" — with its own text and the JESUS
Film both in hand. Measured: 602 codes and 2,001 of 12,379 groups move 1 -> 2. Tier 0 does
not move at all, 1,592 before and after, so nothing about who has NOTHING changes: the gap
lists, the 369 zero-access groups and the bridge-reach table are untouched.
THE SAME BUG DOWNSTREAM, and this is the one a catalyst would have felt: resourceRows typed
an FCBH record "audio, text, video" as Audio Scripture only, so the access table's
byType.Scripture never saw it. 288 people groups were published as "watch or hear, cannot
read" while their own readable Scripture sat behind that link. Access now reads 1,129 "read
and watch" (was 869), 518 "cannot read" (was 806), 85 "read" (was 57), 369 nothing found and
6 stories only — unchanged where it should be, and 2,107 in total either way. Typing the row
by its text would have dropped "can hear", so the access builder now counts a Scripture row
whose scope names audio as hearable too.
ONE OWNER NOW. hasReadableScripture is exported from gospel-resource-rows.js and imported by
the pin builder and by check-gospel-coverage-consistent, whose arm F had its own narrow copy
and therefore reported 2,001 disagreements against the corrected tier — a gate defending the
bug it exists to catch. A rule with four copies has no owner; this one has.
`sx` ships alongside: the readable text with its source named, for the 887 codes whose text is
not at c.s, so a surface can LINK what the tier now counts instead of claiming Scripture and
showing a film. Wiring it into the sheet and the field card is the next commit; this one is
data and rules only, and public/ is deliberately NOT rebuilt because rega is rendering this
worktree.
Second failure on the same feature, and the cause was timing rather than values: the sheet
mounted on cardMode ALONE, so it read selected.country before the shard fetch had set it.
My previous fix put the right value in the right place and left it arriving too late.
The sheet now appears when there is DATA — v-else-if="selected || showGapList", with cardMode
removed from that condition entirely, because a card that has arrived sets both. A wait box
stands in until then and shows the error if the shard 404s, so a loading card looks like one
and a failed card says so instead of showing nothing.
And the card now carries the BRIDGE's own links. In card mode the pin index is never fetched,
so bridgeResources() found nothing and a tier-0 card would have named a way in with no way to
follow it — the single most important thing on that group's card. Derived in the builder
exactly as the leaf derives it, FCBH text fallback included, because a group's readable
Scripture is sometimes only on the audio record. Verified in the data: abai-sungai's card
carries Indonesian with its Scripture, film and Zume links.
NOT LANDING THIS until rega has rendered it on the branch. I have now shipped this feature
blank twice on checks that passed, and the missing check was always the same one: that it
renders. I cannot run a browser, so the claim is not mine to make.
BUILD-FIELD-RESOURCE-CARD. For the catalyst standing with the group on a phone. Seeing ONE
group used to cost the engine, the world boundaries, the basemap tiles and the 2.3 MB pin
index before a single link appeared.
?card=<slug> renders the group's sheet alone — no engine, no boundaries, no tiles, no pin
index. Measured from the served files: the map transfers 7,942 KB plus a ~700 KB engine and
unbounded tiles; the card transfers 678 KB worst case, of which 661 KB is the bundle itself
and 17 KB the largest shard. 92% fewer bytes before tiles are counted at all. The bundle is
now the floor, and splitting it is a separate job I have not done.
SHARDED BY A STABLE HASH, after two measured failures: first two letters of the slug gave a
120 KB worst shard because every "Deaf <people>" lands in "de"; three letters left 110 KB
because those slugs all begin "dea". djb2 low byte gives 255 even shards, mean 9 KB, max
17 KB, and the leaf recomputes the key so there is no index and one request. The identical
function lives in both files: if either drifts the card 404s rather than serving somebody
else's group.
Flat filenames, card-<key>.json, because internal/generate-tree.mjs stages tables/*.json as
files and throws EISDIR on a subdirectory — shared build machinery, not mine to change for
one plugin.
Share uses navigator.share where it exists (it offers whatever the catalyst already has) and
falls back to the clipboard, with a cancelled share treated as the non-event it is. The link
carries doxa.life's own slug, so what arrives reopens this card rather than a search — the
slug now reaches the sheet from a tapped pin too, so sharing works from the map as well.
Honesty unchanged: 1,738 cards carry something in the group's own language, 369 carry
nothing and say so with the way in. Checked 400 roster rows resolve to a card, 0 missing;
a tier-0 and a tier-2 card both carry what they should.
For an AI or Bible-translation team choosing where a first New Testament
draft is feasible: per language, five named open signals, each cited and
licensed: Glottolog's most extensive description (CC BY 4.0), Scripture
books found (eBible), a language Wikipedia (CC BY-SA 4.0), Common Voice
validated speech hours (CC0) and FLORES+ (CC BY-SA 4.0). A dated snapshot
the build reads; no live fetch. The board shows 'Open data (of 5)', a
sortable column (with the signals in the CSV), a drawer section with each
signal and its source, and a line on the tree card. It is a count of named
facts, not a score. Codes that could not be mapped are listed (6 Wikipedia
codes), and the 31 languages Glottolog lacks read as unknown, never none.
Of the 736 languages with no New Testament found: 20 have 3+ signals.
Five lenses answered one question five ways on a 40-country snapshot, and the default
one silently dropped 27% of its senders. They are replaced by two views over one
dataset built from peoplegroups.org (7,307 unreached groups):
Mobilize pick an unreached group; see its reached neighbors at E-1 (same language),
E-2 (near culture) and E-3 (nearby, other culture), its P-level, what
resources exist in its language, and export them as audience segments.
Campaigns bridge languages spoken by believers and by unreached groups, ranked by
the unreached population one campaign in that language reaches: where to
run it, whom it reaches, exportable.
The dataset is fetched (bundle 1.27 MB -> 0.55 MB); the old view names open the new
views so existing embeds keep working. 65 new strings in all eleven languages.
1,009 IND/CHN groups now have a province (was 1,005): the two Andaman
islands fall inside their state on the web outline, and Jing and Pana are
placed within 15 km of one province (gospel-plugin's near-border rule).
The tapestry is laid out at half its former size in the map's world square,
so from the opening view the reader can zoom out two levels instead of
one. Every zoom-dependent stop (dot sizes, label entry zooms, framing
limits) moves up one level with it, so the opening view looks the same.
A vector SVG of the current selection, one sheet of the chosen size,
printed in place (library printInPlace) or downloaded for a print shop.
Every label is placed so that none overlaps another or covers a circle:
families on top of their dish, leaf names running outward like spokes,
the rest beside their dot, and a name that cannot fit is left off and
counted on the sheet. The poster has its own layout (build step), with
slots for languages only, because resources are catalogued per language:
671 of 858 languages named at 3 ft, 779 at 4 ft (all families), 0 overlaps.
check:language-tree measures both sizes.
The tapestry is laid out at half its former size in the map's world square,
so from the opening view the reader can zoom out two levels instead of
one. Every zoom-dependent stop (dot sizes, label entry zooms, framing
limits) moves up one level with it, so the opening view looks the same.
iso3-to-iso2 mapped SJM to NO, so every research fetch keyed through it filed
Norway's figures under Svalbard. With SJM -> SJ on main, the four fetched tables now
hold what the pipeline produces for Svalbard itself, re-fetched for SJ through each
script's own code:
network-operators 60 Norwegian networks -> none (RIPEstat: 0 ASNs for SJ)
platform-reachability 15 rows of Norway's OONI -> 15 not-measured (no SJ probes)
social-platforms 8 rows of Norway, 2026-07 -> 4 rows of Svalbard, 2026-09
messaging-channels 3 rows from Norway's store -> none (no SJ storefront)
Norway is not added: it is not in the DX country spine these tables are built over,
so no build produces Norway rows here. Svalbard's own people group rows elsewhere
are untouched, and every other country's rows are unchanged and in order.
The table said Jing and Pana were "outside the twelve-province subset". Both provinces
are IN that file — Guangxi and Yunnan. Measured: Jing sits 8.7 km outside Guangxi's
outline and Pana 5.4 km outside Yunnan's. They are across the border, which is a fact
about one coordinate standing for a whole people, not about a missing province. I shipped
that wrong explanation twice, in the meta and in a commit message.
Sourcing China's COMPLETE 34-unit ADM1 from geoBoundaries changes neither distance by a
metre — same source geometry, 22 more provinces, none of them theirs. So better data is
not the answer here, the downloaded file is deleted rather than staged for nothing, and
the finding is written down so nobody repeats the experiment.
A point within 15 km of exactly ONE province now joins it, carries near_border_km on its
row, and is counted in meta as placed by nearest province. Two provinces inside the
tolerance leave it unassigned: a near-miss is a hint, and a hint between two answers is
not one. 1,007 assigned becomes 1,009 and unassigned 2 becomes 0 — with the two
exceptions visible per row rather than dissolved into the total, because gospel-internet
reads this file and should be able to tell a point inside a province from one 9 km out.
f728831d switched the interactive maps to the web-sized boundaries — 232 KB against
1.84 MB, which matters on a leaf built for thousands of embeds — and this builder kept
reading the full-precision file. The map would have drawn provinces from one outline
while the table counted them from another. My own staged-assets gate caught it on the
merge, which is exactly the drift it was added for a day ago.
Measured before following the map rather than after: same 36 states, same names, 0 groups
move province, 0 dropped, and 2 GAINED. Great Andamanese and the Sentinelese had been
listed as unassigned because their points fell just outside the detailed coastline of
islands that ARE in the file; on the simplified outline both land inside Andaman and
Nicobar. 1,005 assigned becomes 1,007 and unassigned 4 becomes 2 — only Jing and Pana on
China's Vietnam and Laos borders, outside its twelve-province subset.
A coarser outline is not a worse answer here. It is a more forgiving one at the scale a
single coordinate for a whole people is honest to.
The note that called those two a precision artefact said "Four remain" and named them; it
would have been false the moment this landed, so it says what is true now and records what
the switch measured.
exp-shepherd's classifier fix (LINE MAN and Malé Taxi Line were counted as
messaging apps) reached main in landing 9: Thailand and the Maldives now
show WhatsApp Messenger as their top messaging app. 9 groups change their
top_messaging_app; nothing else in the table moves.
The charts page told every reader "grn (partly — the sweep is still running)". It is
measured by check:no-stale-sweep-claim, which SKIPS rather than fails, because a code
really is undecided — and the number it skips on is ONE code out of 1,184. A reader who
sees that sentence discounts the whole audio column on the strength of 0.08%. A caveat
that is technically true and reads as "do not trust this data" is worse than a stale
number, because nothing flags it.
It states the proportion now: "grn (partly — 1 of 1,184 still to check)". The two
numbers come from the pin index, which publishes them counted exactly as the gate counts
— the codes the caveat SPEAKS FOR, tier 0 with sign languages excluded because GRN
publishes audio for them, against every code the sweep has decided. Reusing the builder's
own grnSeen set rather than rebuilding it, because a second copy could drift from the one
the tiers were computed against.
And it expires itself: at 0 pending the pool stops being described as partial at all,
which is exactly what the gate then demands instead of someone having to remember.
The classifier matched "line" as a bare word, so "LINE MAN: Food Delivery & more"
(Thailand) and "Malé Taxi Line" (Maldives) each ranked as the country's top messaging
app, ahead of WhatsApp. LINE now matches only as the whole name or before a colon.
The classifier moves to app-kind.mjs so the fetcher and the table builder share it,
and the builder re-derives each kind from the app name, so a cached fetch made under
an older rule cannot carry its answer forward. The headline count is computed from
the rows instead of typed: WhatsApp (Messenger or Business) is top in 73 countries.
?codes= filters by LANGUAGE, which is what a partner's list usually is and the wrong
filter for a list of peoples. The reach table measured the gap in its own rows: its
Mandarin row counts 36 groups, those 36 speak 30 codes, and 55 Doxa groups speak those
30 — so a link from a 36-group row drew 55 pins. Akha's 33 drew 57; SUN's 93 drew 116.
The extra groups are real and also have nothing; they belong to a different row.
So the map takes ?groups=<slug list> and filters by people group. The slug is
doxa.life's own — carried from the roster into the pin rows, and read in the builder
off the prayer URL their API built from it, never constructed from a name, because a
slug this build invented could name somebody else's people. All 369 of those rows
carry a prayer URL, measured before relying on it.
Row and map now agree by construction: 0 of 35 rows disagree, and the Mandarin link
renders "36 / 2,107" on the map against a row claiming 36. The gate asserts exact
equality for a three-slug link and 0 for an unknown slug — the failure that would
quietly turn a partner's 40-group embed into the whole roster.
The longest link is 1,577 characters, SUN's 93 slugs; well inside what browsers carry,
but worth knowing before anyone adds a row with a thousand groups.
The language tree's source (Glottolog 5.2.1, CC BY 4.0) joins the board's
standing sources line and the CSV provenance, read from the snapshot's own
citation.
Every language family of the board's people groups, drawn as a radial tree
(family, branches, languages, dialects) on a whiteboard, the families
packed like cells in a dish with no overlaps. Green: a New Testament or
full Bible found in the language; yellow: something found but no New
Testament; red: nothing found. A family shows the worst colour inside it;
a dialect carries its language's colour, lighter, because every source
catalogues resources by language. Click a circle to narrow the board to
it. The table under the centre gains a Gospel resources tab listing every
screened link for the languages in scope.
The tree is Glottolog 5.2.1 (CC BY 4.0), snapshotted to the languoids the
roster needs: 833 of 864 codes, the 31 IMB private codes kept under their
own node. The layout is computed at build time and drawn by the same map
engine the board already loads, so zooming out draws less and labels
never overlap.
check:gospel-internet now also measures the tree (complete, coloured by
its rule, no overlapping families) and server-renders every panel with the
real data in en and ar: profiles-mount never renders a profile's children,
and a throw planted in a panel passed it.
A row reading "36 peoples" that cannot show you which 36 is a statistic, so each row
now carries the map's own ?codes= address — the partner-embed filter doing a second
job.
It would have contradicted its own row. The map filters by LANGUAGE and these rows
count GROUPS: Mandarin's 36 groups speak 30 codes, and 55 Doxa groups speak those 30.
Akha claims 33 and the link draws 57; SUN 93 and 116. The extra groups also have
nothing — they are offered a different bridge because they are in a different country.
So both numbers ship beside the link, the column is named for languages rather than
peoples, and the meta says why. Labelling a language filter as a people filter would
have been the easy version of this and would have made the map call the table a liar.
An exact per-group filter is a change to the map's URL contract and belongs there, not
faked in a builder.
Every surface here answered "who has nothing", then group by group "what is the way
in for THIS one". A mobiliser with a budget asks the inverse and had nowhere to ask
it: if I resource ONE language, how many peoples does that reach? Over the 369 groups
with nothing of their own the answer is 35 rows — SUN is the way in for 93 Deaf groups
across 93 countries, Mandarin for 36, Akha for 33, Indonesian for 28. That is a
different shape of decision from a list of 369, and it is the one a sending church or
a translation agency actually makes.
The three kinds are never summed. A CURATED bridge was checked for those groups; a
CANDIDATE is computed from published CLDR data about what the country speaks, which is
a fact about the country and not about these people; SIGNED is SUN, which has to be
learned. A language offered as both a checked bridge and a computed candidate appears
once per kind, because those are different claims — which is why there are 35 rows for
32 languages.
Every row carries "still nothing of their own" and the word bridge, because
aggregating makes that easier to forget, not harder. No new link enters the map: a
bridge language's Scripture, film and training are the ones the pin index already
holds for that ISO code, and all 80 URL cells resolve to links the verification record
has already proved — measured, not assumed.
The tab carries its own English until its key lands. tr() falls back to the key, which
on a tab would read "gospel.tables.t_bridgereach" — worse than the English it replaces.
Which apps would carry a bridge-language resource into the countries in
scope: the top messaging app (Apple top-free, iOS only, a download rank)
and the top social platforms (StatCounter referrals, which cannot see
messaging) per country, never on one scale, each with its own source's
caveats. A country outside Apple's feed is 'not measured', never dropped.
The preset opens on the 220 groups with nothing in their own language in
countries 60% or more online.
gospel-by-province-groups.json replaces this builder's own point-in-polygon
(which agreed with it group for group: 0 province changes on rebuild). One
assertion stays: the aggregate's groups sum to the per-group rows, so a
stale copy of one file beside a fresh other refuses to build. The rebuild
also inherits gospel-plugin's fix for 3 retired film links.
One row per people group joining what the gospel sources hold in its own
language to how much of its country (or Indian state) is online. The join
builder refuses to write if any join drops a row or if its province
placement disagrees with gospel-by-province. Board, zero-access and
India/China views over one selection bus; facets, map on both engines,
charts, grid, drawer and CSV export.
Three findings, one thread: rule 4 says verify a URL before shipping it, and the
check I wrote for it yesterday was measuring one file.
1. THE TABLES PAGE WAS SHIPPING DEAD FORM. people-group-resources.json — the
"Resources by People Group" tab, which a reader clicks — carried 2,294 URL cells, of
which 1,412 were jesusfilm.org/watch/?languageId=<id>. That form is IGNORED by the
site: a real id and a bogus one render the same generic library page, which is why
the map migrated onto Arclight shareUrls. The migration never reached this table, so
the booleans beside those links were being refreshed while the links themselves went
stale for a year of builds. 1,417 film and 882 scripture URLs re-derived from the
index, which is authoritative for both and whose URLs are the verified ones.
2. TWO ARCLIGHT LANGUAGES, ONE ISO CODE — resolved, with evidence rather than a
ruling. jos was SKIPPED here, and the note said resolving it meant deciding whether
the code or the publisher's name was authoritative, "a data question for someone who
can check it". Checked: media-languages?iso3=jos returns 7138 "Jordanian Sign
Language" and 139080 "Lebanese Sign Language", and 7138's shareUrl redirects to
.../jordanian-sign-language.html while a bogus arc.gt code 404s. So the code stays
authoritative for the join and the NAME breaks the tie the code cannot. The old note
also had a fact wrong — it called Lebanese "a different language (lbs)", but lbs is
LIBYAN Sign Language and Lebanese has no code of its own, so this is two Levantine
varieties sharing one code, not a mis-filing. Three Deaf groups now reach the JESUS
Film in their own sign language through a link that resolves; 0 retired-form links
remain in the index.
3. THE GATE'S SCOPE WAS THE BUG. It walked the pin index alone, which is how item 1
hid from it. It now reads every table the SURFACES read, taken from the surfaces, and
resolves each URL against four records: the verification table, the org contacts, the
SUN pages (proved by content against a catch-all control) and doxa.life's own listing
for prayer pages, which cannot be proved by fetch because pray.doxa.life answers 200
for any slug. Provenance fields are excluded by path — a citation is not an offer.
8,445 links measured yesterday; 12,292 shipped links today, 0 unrecorded, 0 broken,
0 that no status code can prove.
Reading every STAGED file instead reported 6,115 unrecorded and 53 broken, all of
them correct behaviour: API endpoints in source fields, and build caches that still
hold the 53 share URLs the verifier proved dead — which is exactly why the pin
builder drops them. A gate that goes red on correct behaviour gets switched off.
gospel-internet was running the same point-in-polygon over the same two geometry
files and refusing to write unless its per-province counts matched this table's —
which is good discipline and should not be necessary. The assignment ships now: one
row per placed group, 1,005 of them, with the language code, population and tier.
The two files are reconciled BEFORE either is written — per-province counts and the
assigned total must agree or the build refuses — because they are published
separately (the map fetches only the aggregate, lazily, and has no use for a
thousand rows) and separate files can drift. The failing direction of that guard is
not proven, only the passing one: 46 provinces agree, 1,005 = 1,005.
A country is not where anyone is sent; a state is. Each province now carries the
same two prayer numbers the country sheet does and ends in the same move — the
largest group there with nothing and nobody praying, one tap from its prayer page,
ranked need-first so drilling from country to province never hands the reader a
second answer. Andhra Pradesh: 64 of its 76 groups with a prayer page have nobody
praying, 3.8M people.
Always N of M. doxa.life publishes a page for 1,723 of the roster, so nobody-praying
can be said of the groups that HAVE one and never of the province; both numbers
ship together so no surface can quote the first alone.
The join here is name+country, not language — you pray for a people in a place, and
that is doxa.life's own key. It is the one join in this build where a name match is
correct rather than forbidden, and the slug is always theirs: pray.doxa.life answers
200 for any path, so a constructed one would look valid and be empty.
The doctrine screen now scans the province table too. It is the SIXTH place a URL
lives in this bundle, and a table added after the scan was written is exactly how
the access table went unscreened for weeks — read from disk, so it is checked even
when the province layer was never opened.
This table carried its own worst case as a caveat: the ways in were chosen for the
COUNTRY, so Arunachal Pradesh — in the far north-east — was offered TELUGU, a South
Indian language, because the curated bridge table is keyed by country and a curated
bridge outranks a computed one. Manipur and Kerala got Telugu too.
The province answers for itself now. Candidates are the languages of groups
STANDING IN IT that already have Scripture AND film, ranked by the people here who
already hold them. Arunachal Pradesh gets Hindi and Assamese, Manipur gets Meitei,
Kerala gets Malayalam — each one a measured neighbour rather than a national
average. 41 of 46 provinces can answer locally; the other 5 keep the country answer
and the new Basis column says which is which, because "no language here has both
Scripture and film" is itself worth reading. The country-level answer stays in its
own column so the two can be compared rather than swapped silently.
It is a NEIGHBOUR, not a recommendation: whether a group actually speaks it is a
question for someone on the ground, and the table says so.
The province table and the map's province layer both read gb-IND-ADM1.geojson,
which is the UPG-100 list's curated 34-unit partition — not a country's states.
Eleven groups came out with no province because they were standing in states that
partition does not draw. Both now read the complete ADM1 that landed with the
internet work (36 states, geoBoundaries via DataMeet India): 998 assigned becomes
1,005, 44 province rows become 46, and the rows name Indian states.
Four groups are still unassigned and each one is legible: Great Andamanese and the
Sentinelese sit on islands whose simplified coastline their point falls just
outside, and Jing and Pana are on China's Vietnam and Laos borders, outside its
twelve-province subset. They are listed with their coordinates, not dropped.
The staged-assets gate now also asserts the map and the table read the SAME
geometry. Staging could never catch this: both files were staged.
The India layer drew on UPG-100's curated partition (34 of 36 units), so
Mizoram and Nagaland had figures but no geometry. studio staged the complete
ADM1 beside it (data/boundaries/gb-IND-ADM1-full.geojson: gbOpen
IND-ADM1-1811400, DataMeet / ECI, CC BY 2.5 IN, with its .meta.json). The
curated file is untouched.
- connectivity-map.vue fetches boundaries/gb-IND-ADM1-full.geojson.
- The crosswalk maps Mizoram -> "Mizoram" and Nagaland -> "Nāgāland" (the
boundary file's spelling) instead of null. The generator validates against the
full file, and the table's meta names it with its licence.
- The regenerated table has 36 areas drawn and none missing, so the legend's
"no boundary yet" line no longer shows (it renders only when that list is
non-empty).
Headless: build and tree OK; both boundary files are staged; the fill
expression (maplibre-gl-style-spec) colours 36 of 36 states (Mizoram women
67.6, Nagaland women 49.9).
Country-level internet data is not good enough for India. This adds the first
sub-national layer, from the one open, machine-readable source verified for it:
NFHS-5 (2019-21, IIPS / MoHFW), "women / men aged 15-49 who have ever used the
internet (%)", urban / rural / total, for every state and UT (CSV transcription
of the state fact sheets, CC BY 4.0; SPEC-GRANULAR-INTERNET.md).
- data/internet/: the two NFHS-5 internet rows (with provenance, licence and
upstream commit), plus a strict crosswalk from source names to the shipped
gb-IND-ADM1 shapeNames.
- plugin-designs/cities-internet/scripts/build-adm1-internet.mjs (`bun run
internet:adm1`) writes data/tables/internet-by-adm1.json. It is GENERIC, one
row per iso3 x adm1 x measure x sex x area, with meta naming measures,
sources, boundary files and the national figures, so go-int and other plugins
can reuse it. It fails on an unmatched name or a value outside 0-100: a name
is never guessed.
- The map draws India's states in a blue ramp (0-25-40-55-70%+), leading with
women, with a Women / Men toggle. A tapped state shows both halves, urban /
rural / total. Its own legend block names the measure, survey, years and ages,
and says it counts people, not subscriptions, so it is never read as the
World Bank country bands. India's national band is taken out under its states.
- The shipped boundary file is the UPG-100 partition (34 of 36 units): Mizoram
and Nagaland have data but no geometry. They stay in the table and the legend
names them.
- 8 new strings under connectivity.adm1, in all 11 locales (library change:
consumers need rebuilding).
Headless: build and tree OK, and the table and gb-IND-ADM1 are staged under
assets/. The fill expression validates with maplibre-gl-style-spec, and all 34
shipped states get a colour (e.g. Bihar women 20.6 -> 0-25, Delhi men 85.2 ->
70+). A crosswalk poisoned to a wrong shapeName fails the generator. Passing:
universal-props, no-free-identifiers, i18n-parity, i18n-never-translated,
profiles-mount, composites-mount, no-orphan-gates, script-flags, quoted-scripts.
Not rendered in a browser.
The credit line said who translated the Scripture and called them "the likeliest
people to ask", then stopped at a name. 838 of the 929 credited groups now reach
that organisation's own homepage from the sheet.
The URL does not come from eBible's homeDomain field, which is still dropped: it
comes from a hand-screened list of 16 organisations, every one fetched on the run
that wrote the table. Where a credit names two, the one it LEADS with wins, so
"Pioneer Bible Translators and The Word for the World International" reaches
Pioneer and not the other way round.
National Bible Societies hold 89+ credits and are deliberately linked to none of
them: several UBS members publish editions carrying the deuterocanonicals, so
whether a Society contact sits inside the 66-book filter is a ruling to be made,
not one to assume. They keep the name without the link, and the count says so.
A contact is screened as somewhere to write to, not as a publisher this map reads
text from — two separate lists, so wycliffe.org appearing as a scripture link is
still a failure. Four organisations answered a datacentre IP with a bot challenge
while serving browsers normally; those are proved by robots.txt and the table
records which method proved which.
P1, data layer. 855 of Doxa's 2,107 groups are in India and 154 in China — 47.9%
of everything this map draws, rendered until now as two flat fills. No other
country is close; the third is Sudan at 105. Each group is placed into a province
by point-in-polygon on its coordinate: 44 provinces with groups, 998 assigned,
13 provinces holding groups with nothing.
China's ADM1 file carries 12 provinces, not 31+, and I expected that to lose
groups. Measured instead: 152 of 154 Chinese groups fall inside them and all
twelve are used. The file was cut to the provinces where the unreached peoples
are, so the subset is the right subset.
The 11 groups that land outside every polygon are COUNTED, not dropped — nine
Indian and two Chinese, every one of them coastal or an island. That is the
predicted failure of placing a people by a single point, and it belongs in the
output rather than in a silence.
Every row is flagged approximate, because a province here comes from a coordinate
that marks where a people is found rather than a settlement, and 108 groups in
the roster share a coordinate with another group.
Going below the border also exposed something the country view was hiding:
Arunachal Pradesh, in the far north-east, is offered TELUGU as its way in,
because the curated bridge table names it and a curated bridge outranks the
computed one. India's computed default is Hindi, defensible nationally and still
wrong for much of the north-east. This table does not fix that. It records it, and
says to read the ways-in column as "a language with Scripture and film somewhere
in this country" until a bridge can be chosen per province.
Two things, and the second was found by the first disagreeing with itself.
The CSV is what a team prints onto a poster or turns into a QR code, and it was
the only surface that did not say when the bridge language carries the Zume
course. 179 rows now do. Same URL the sheet already shows and the verification
already proved; nothing new is fetched.
"Candidate groups" is removed rather than renamed. It counted people groups
speaking the candidate language, which only the old pins-derived proxy could
produce; since candidates came from CLDR it has shipped as 0 on all 108 candidate
rows, and an empty column in an exported CSV reads as missing data rather than as
one that stopped applying. CLDR does give whether the language is official there,
which is a real fact about how likely it already is to be taught, so that takes
its place.
THE BUG. 182 rows had a bridge carrying Zume and only 179 could export one. The
three were Deaf groups speaking Auslan, and codes.asf has no sg flag — it is set
from the sign-language catalogues and asf is in none of them. So the pin index
built a SPOKEN bridge for them and the map offered it, because the map's is_sign
test reads that same flag. The access table refused it, because it also matches
the group name. A spoken bridge is not a weak bridge for a Deaf community, it is
not a bridge; this is the residue of the finding that already removed 89.
Suppressed on either signal now, so the two builders agree and the map cannot
offer what the table refuses.
Still 369 with nothing and still none of them without a way in.
