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.
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