Automatically populated source index

Entities and events

Browse mentions, existing speaker labels, and event descriptions without a mandatory review step. Similar names and conflicting accounts are not automatically merged.

Release: derived_c624d7b14f990ba9292642a9
Corpus snapshot date: 23 Oct 2026

Entities 1,331

Speaker names, common places/platforms, and repeated name-like phrases. This is an incomplete mention index, not an identity register.

Find in entitiesOnly names with a speaker label

1,331 entries

Danielperson · 3963 recordings mentioning this name · 317 with a speaker label
TheName-like phrase · 3866 recordings mentioning this name · 0 with a speaker label
Japanplace · 2266 recordings mentioning this name · 0 with a speaker label
YouTubeplatform · 2160 recordings mentioning this name · 0 with a speaker label
Englandplace · 1339 recordings mentioning this name · 0 with a speaker label
Chihiroperson · 1101 recordings mentioning this name · 84 with a speaker label
Thailandplace · 1157 recordings mentioning this name · 0 with a speaker label
Londonplace · 969 recordings mentioning this name · 0 with a speaker label
Koreaplace · 947 recordings mentioning this name · 0 with a speaker label
Discordplatform · 930 recordings mentioning this name · 0 with a speaker label
Milaperson · 885 recordings mentioning this name · 27 with a speaker label
Instagramplatform · 901 recordings mentioning this name · 0 with a speaker label
Twitchplatform · 779 recordings mentioning this name · 0 with a speaker label
Chinaplace · 765 recordings mentioning this name · 0 with a speaker label
ChrisName-like phrase · 757 recordings mentioning this name · 0 with a speaker label
Osakaplace · 756 recordings mentioning this name · 0 with a speaker label
Iceperson · 744 recordings mentioning this name · 11 with a speaker label
Tokyoplace · 743 recordings mentioning this name · 0 with a speaker label
Chris BroadName-like phrase · 697 recordings mentioning this name · 0 with a speaker label
Germanyplace · 694 recordings mentioning this name · 0 with a speaker label
Hong Kongplace · 678 recordings mentioning this name · 0 with a speaker label
Ice PoseidonName-like phrase · 636 recordings mentioning this name · 0 with a speaker label
Rainbow SixName-like phrase · 564 recordings mentioning this name · 0 with a speaker label
Bangkokplace · 557 recordings mentioning this name · 0 with a speaker label
Elden RingName-like phrase · 514 recordings mentioning this name · 0 with a speaker label
BlackName-like phrase · 510 recordings mentioning this name · 0 with a speaker label
Samperson · 491 recordings mentioning this name · 2 with a speaker label
Turkish girlperson · 481 recordings mentioning this name · 2 with a speaker label
Elvisperson · 462 recordings mentioning this name · 2 with a speaker label
Piaperson · 458 recordings mentioning this name · 4 with a speaker label
TomokoName-like phrase · 439 recordings mentioning this name · 0 with a speaker label
Redditplatform · 425 recordings mentioning this name · 0 with a speaker label
DanName-like phrase · 415 recordings mentioning this name · 0 with a speaker label
Taiwanplace · 390 recordings mentioning this name · 0 with a speaker label
Georgeperson · 383 recordings mentioning this name · 3 with a speaker label
World WarName-like phrase · 377 recordings mentioning this name · 0 with a speaker label
Blood Bucketperson · 357 recordings mentioning this name · 7 with a speaker label
Steam DeckName-like phrase · 359 recordings mentioning this name · 0 with a speaker label
DavidName-like phrase · 355 recordings mentioning this name · 0 with a speaker label
Uber EatsName-like phrase · 355 recordings mentioning this name · 0 with a speaker label

Related accounts & descriptions 22,061

1,529 local similarity groups across 23,947 original descriptions. Multi-recording entries appear first. Related accounts may describe different occurrences or disagree; more links do not imply independent corroboration.

Find in eventsOnly entries with multiple source recordings

22,061 entries

Tim Schofield issued a copyright strike against Daniel for using one minute of Schofield's footage, barring Daniel from streaming for 90 days.Related accounts · 12 source recordings · 12 original descriptions
Daniel deleted his Discord server.Related accounts · 11 source recordings · 8 original descriptions
Elvis the Alien published a second video regarding Daniel.Related accounts · 8 source recordings · 10 original descriptions
Daniel removed a video discussing Chris Broad following a privacy request from Chris.Related accounts · 8 source recordings · 8 original descriptions
Daniel's father died in 2019.Related accounts · 8 source recordings · 5 original descriptions
Daniel cut his own hair.Related accounts · 8 source recordings · 4 original descriptions
Daniel married Chihiro.Related accounts · 7 source recordings · 7 original descriptions
Amazon Flex issued a ban to Daniel.Related accounts · 7 source recordings · 7 original descriptions
Daniel passed level 2 of the Japanese Language Proficiency Test.Related accounts · 7 source recordings · 6 original descriptions
Chihiro and Daniel got divorced.Related accounts · 6 source recordings · 6 original descriptions
Daniel bought an Apple Watch 6 as a birthday gift for Chihiro in 2021.Related accounts · 6 source recordings · 6 original descriptions
Chihiro removed all videos from her YouTube channel and deleted all posts on her Instagram account after Daniel released a video concerning her new boyfriend.Related accounts · 6 source recordings · 6 original descriptions
Daniel traveled to Germany and met up with Mila in Frankfurt.Related accounts · 6 source recordings · 5 original descriptions
Daniel broke up with Mila following repeated friction during outings together.Related accounts · 6 source recordings · 5 original descriptions
Daniel went shopping and purchased a Nintendo Switch.Related accounts · 5 source recordings · 5 original descriptions
Daniel bought approximately $1,000 of Tattooed Chef stock at $13.50.Related accounts · 5 source recordings · 5 original descriptions
Victoria and her sisters blocked Daniel and his mother on social media platforms after Daniel posted a video mentioning his childhood crush on Victoria.Related accounts · 5 source recordings · 5 original descriptions
Daniel and Mila slept in a tent in the garden during rain.Related accounts · 5 source recordings · 5 original descriptions
Daniel contracted chlamydia in Japan in 2017.Related accounts · 5 source recordings · 5 original descriptions
Daniel received a Super Chat donation during a livestream.Related accounts · 5 source recordings · 5 original descriptions
Daniel moved to Manchester two months prior.Related accounts · 5 source recordings · 5 original descriptions
Daniel purchased 56 shares of Corsair Gaming at $24.36 for $1,400.Related accounts · 5 source recordings · 5 original descriptions
Daniel moved out of Devon and returned to his mother's home.Related accounts · 5 source recordings · 5 original descriptions
Daniel met Ice Poseidon in person.Related accounts · 5 source recordings · 4 original descriptions
Daniel returned an iPhone 15.Related accounts · 5 source recordings · 3 original descriptions
Daniel traveled to Japan for the first time in 2010.Related accounts · 5 source recordings · 3 original descriptions
Daniel's father passed away on an unspecified date.Related accounts · 5 source recordings · 2 original descriptions
Chihiro messaged Daniel's mother complaining about his videos.Related accounts · 4 source recordings · 4 original descriptions
Daniel concluded his eight-hour livestream at roughly 2:30 in the morning.Related accounts · 4 source recordings · 4 original descriptions
Daniel returned to streaming after a two-day break.Related accounts · 4 source recordings · 4 original descriptions
Daniel paid £150 to an accountant from taxscouts.com.Related accounts · 4 source recordings · 4 original descriptions
David Bond visited Japan to meet Daniel in 2017.Related accounts · 4 source recordings · 4 original descriptions
Tim Schofield issued a copyright strike against Daniel in February.Related accounts · 4 source recordings · 4 original descriptions
Mila ended her relationship with Daniel in April.Related accounts · 4 source recordings · 4 original descriptions
Elvis the Alien published a video about Daniel that gained one million views.Related accounts · 4 source recordings · 4 original descriptions
Daniel sent Chihiro an Apple Watch for her birthday in January 2021 following their divorce.Related accounts · 4 source recordings · 4 original descriptions
Daniel passed his driving test with zero minor and zero serious faults at the end of September.Related accounts · 4 source recordings · 4 original descriptions
Chihiro struck Daniel once hard enough to knock off his glasses.Related accounts · 4 source recordings · 4 original descriptions
Daniel uninstalled Rainbow Six after starting to play New World the previous year.Related accounts · 4 source recordings · 4 original descriptions
Daniel began working at a petrol station in September.Related accounts · 4 source recordings · 4 original descriptions

Exploratory text research

Names in the archive: patterns over time

Explore the spread of tracked names and which names occur near each other. These are patterns in the selected transcripts—not a social network, evidence of relationships, or findings about anyone’s personality.

Transcript renditions retained: 3,9884,582 considered before exact-text exclusions
Tracked public labels: 40
Weighted name matches: 37,044
Undated recordings: 639Excluded from calendar charts

1,143,254 eligible words have a selected Daniel label; 24,830,900 have no assigned speaker. Neither a label nor an explicit name match proves who spoke or whom it refers to.

184 identical-transcript groups have inconsistent or partly missing date metadata and are treated as undated in the main calendar series.

How concentrated are the tracked on-channel names?

Higher spread means matches are distributed more evenly across the tracked labels; lower spread means fewer names dominate. This curated group includes names used on the channel, handles and pets, not an inferred personal circle. Public-creator labels are excluded from this measure.

Measure

Shaded bands are conditional 95% resampling ranges—not confidence in identities or transcript accuracy. Weighted point estimates can fall outside these ranges. Sparse years must be read with their word coverage below.

Annual values and source coverage

Tracked on-channel label concentration by recording year
Year	Eligible words	Spread [conditional 95% range]	Top-name share	Active names	Matches / 10k words
2015	24,720	0.28 [0–0.24]	0.51	0	0.47
2016	206,490	0.44 [0.16–0.5]	0.4	2	0.98
2017	475,730	0.28 [0.16–0.34]	0.7	2	2.03
2018	261,809	0.64 [0.53–0.65]	0.22	6	2.69
2019	1,581,624	0.69 [0.64–0.72]	0.26	10	3.73
2020	1,394,010	0.57 [0.52–0.62]	0.39	12	12.46
2021	2,032,922	0.5 [0.47–0.52]	0.41	13	14.02
2022	2,372,050	0.47 [0.44–0.49]	0.55	14	10.83
2023	2,508,016	0.48 [0.43–0.53]	0.54	14	9.73
2024	1,711,143	0.67 [0.62–0.71]	0.37	18	14.03
2025	6,038,847	0.6 [0.58–0.64]	0.49	19	11.58
2026	171,737	0.83 [0.69–0.86]	0.22	6	4.95

Compare exact-transcript exclusions with all renditions retained

The main series collapses identical selected public transcript sequences. Where their date metadata is inconsistent or partly missing, the retained content is left undated. The comparison retains every rendition with its original admitted date metadata. Differences reflect repeated transcript weight and date choices together—not a validated count of distinct videos.

Same matching rules: main versus all-renditions scenario
Year	Main eligible words	All-renditions words	Main spread	All-renditions spread	Main rate / 10k	All-renditions rate / 10k
2015	24,720	30,158	0.28	0.28	0.47	0.39
2016	206,490	214,493	0.44	0.46	0.98	1.01
2017	475,730	540,355	0.28	0.28	2.03	2.16
2018	261,809	387,787	0.64	0.64	2.69	2.24
2019	1,581,624	1,713,731	0.69	0.68	3.73	3.75
2020	1,394,010	1,962,944	0.57	0.61	12.46	10.98
2021	2,032,922	3,063,974	0.5	0.51	14.02	12.77
2022	2,372,050	3,949,984	0.47	0.47	10.83	11.47
2023	2,508,016	4,125,050	0.48	0.5	9.73	10.29
2024	1,711,143	1,711,143	0.67	0.67	14.03	14.03
2025	6,038,847	6,038,847	0.6	0.6	11.58	11.58
2026	171,737	171,737	0.83	0.83	4.95	4.95

Which names are mentioned near each other?

A link means two tracked names appear within the same two-minute window. It does not imply the people know each other, were present, agree, or participated together. Layout and proximity are illustrative, not additional evidence.

Find a name and explore its links

Choose a complete tracked label or select a node to focus on its direct co-mention links. Clear the name to return to the overview. Filters change this illustration and its values table, not the underlying research.

Label group Minimum weighted co-mentions Minimum lift above baseline Clutter limit

Which links are included?

The aggregate includes links with at least three weighted co-mentions. “All published links” removes only the extra support filter; it cannot restore lower-support links omitted from the aggregate. The label-group, lift and clutter filters still apply.

Circle: curated on-channel label (includes handles and pets)
Triangle: public-creator label
Thicker link: more weighted co-mentions, not higher lift
Larger node: more weighted co-mentions among displayed links

100%

Drag nodes or pan empty space; wheel/pinch zooms. Arrow keys move a focused node or pan the focused map; + / − zoom and 0 fits. Click/tap or Enter/Space focuses a name. View and layout resets keep your data filters.

Connection-driven layout places connected names near each other and separates disconnected parts of the displayed map. Dragging changes only the illustration. Shapes and colors indicate curated label groups—not inferred social communities. Node size uses displayed weighted degree; it changes with filters. Lift compares the count with a within-recording circular-shift baseline; the filter is descriptive, not a significance test.

Co-mention values (accessible alternative to the graph)

Strongest 40 qualifying links: at least 5 weighted co-mentions and 1.5× baseline
Name	Name	Weighted co-mentions	Baseline	Lift
Chihiro	Mila	669.4	266.7	2.51×
Mila	Sunny	166.1	71.8	2.31×
Sunny	Blood Bucket	161.5	37.3	4.33×
Chihiro	Tomoko	140.2	39.3	3.57×
Chihiro	Pia	125.2	40.8	3.07×
Mila	Pia	88	30.1	2.92×
Deepak	Ice Poseidon	81.8	20.6	3.97×
Ice Poseidon	Sam Pepper	79.6	17.7	4.5×
Sunny	Faster	70.1	22.7	3.09×
Chihiro	Blood Bucket	61.6	35.2	1.75×
Chihiro	Elvis	52.2	28.4	1.84×
Sunny	Dave Gibson	49.5	25.7	1.93×
Chihiro	Faster	47.5	9.4	5.04×
Mila	Tomoko	45.4	24.2	1.88×
Chihiro	Nobita	44.5	16.2	2.74×
Chris Broad	Anime Man	42.8	6.1	7.07×
Mimo	Toffee	42.2	2.6	16.46×
Sunny	Pia	40.3	20.9	1.93×
Kimberly	Ice Poseidon	36.5	4	9.21×
Elvis	Onision	34.5	4.5	7.73×
Chris Broad	Trash Taste	34.1	5.3	6.43×
Elvis	Ice Poseidon	32.8	9.9	3.31×
Chris Broad	Sharla	32.3	3.1	10.37×
Anime Man	Trash Taste	29.9	2.5	12.21×
Mila	Faster	28.4	6.6	4.28×
Nobita	Chris Broad	21.4	5.6	3.81×
Ice Poseidon	Johnny Somali	19.9	4.8	4.13×
Anime Man	Sharla	19.4	3.6	5.33×
Pushkin	Mimo	19	0.9	22.29×
Ice Poseidon	Trash Taste	18.3	7.9	2.31×
Deepak	Sam Pepper	17.1	8	2.13×
Eugene	George	16.7	0.6	27.82×
Chihiro	Cammie (mother)	14.9	7.6	1.97×
Sunny	Tomoko	13.7	9.1	1.51×
Elvis	Chris Broad	13.6	4.2	3.23×
Pia	Tomoko	13.2	4.2	3.14×
Sunny	Sabrina	13	8	1.62×
Chris Broad	Sam Pepper	12.9	3.5	3.7×
Mila	Cammie (mother)	12.8	4.5	2.84×
Pushkin	Toffee	11.5	1.2	9.69×

Follow a tracked name over time

Weighted matches per 10,000 eligible words, by recording month. A zero means no retained match—not that someone was absent. Months with fewer than three recordings are omitted from the chart. Unknown recording dates are not replaced with upload dates.

Tracked label

Changes can reflect archive coverage, recording format, transcript engines, spelling, or conversation topic. A peak is not a dated event or an independently verified life change.

Monthly rates and source coverage

Chihiro: monthly name matches
Recording month	Matches / 10k words	Recordings	Project-cloud transcript share
2015-07	0 (sparse month)	1	Unavailable
2015-08	Unavailable (sparse month)	0	Unavailable
2015-09	Unavailable (sparse month)	0	Unavailable
2015-10	0	15	Unavailable
2015-11	0	6	Unavailable
2015-12	0	6	Unavailable
2016-01	0 (sparse month)	2	Unavailable
2016-02	0	7	Unavailable
2016-03	0 (sparse month)	1	Unavailable
2016-04	0	15	Unavailable
2016-05	0	10	Unavailable
2016-06	0	8	Unavailable
2016-07	0	7	Unavailable
2016-08	0	10	Unavailable
2016-09	0	11	Unavailable
2016-10	0	14	Unavailable
2016-11	0	10	Unavailable
2016-12	0	18	Unavailable
2017-01	0	24	Unavailable
2017-02	0	14	Unavailable
2017-03	0	16	Unavailable
2017-04	0	12	Unavailable
2017-05	0	20	Unavailable
2017-06	0	12	Unavailable
2017-07	0	13	Unavailable
2017-08	0	13	Unavailable
2017-09	0	18	Unavailable
2017-10	0	66	Unavailable
2017-11	0	36	Unavailable
2017-12	0	11	Unavailable
2018-01	0	16	Unavailable
2018-02	0	11	Unavailable
2018-03	0	43	Unavailable
2018-04	0	9	Unavailable
2018-05	0	12	Unavailable
2018-06	0	14	Unavailable
2018-07	0	6	Unavailable
2018-08	0	10	Unavailable
2018-09	0.81	8	Unavailable
2018-10	0	28	Unavailable
2018-11	2.14	181	Unavailable
2018-12	0.54	69	Unavailable
2019-01	1.57	50	Unavailable
2019-02	0	16	Unavailable
2019-03	0.1	22	Unavailable
2019-04	0.5	25	Unavailable
2019-05	0.87	19	Unavailable
2019-06	0.69	24	Unavailable
2019-07	0.54	60	Unavailable
2019-08	1.5	63	Unavailable
2019-09	1.19	18	Unavailable
2019-10	0.26	18	Unavailable
2019-11	0	16	Unavailable
2019-12	3	22	Unavailable
2020-01	0.47	28	Unavailable
2020-02	0.7	34	Unavailable
2020-03	1.36	32	Unavailable
2020-04	8.77	30	Unavailable
2020-05	5.53	30	Unavailable
2020-06	5.52	13	Unavailable
2020-07	0.26	25	Unavailable
2020-08	1.39	27	Unavailable
2020-09	6.02	35	Unavailable
2020-10	3.53	34	Unavailable
2020-11	3.03	27	Unavailable
2020-12	8.14	27	Unavailable
2021-01	5.98	10	Unavailable
2021-02	0	8	Unavailable
2021-03	7.45	17	Unavailable
2021-04	5.81	32	Unavailable
2021-05	7.85	36	Unavailable
2021-06	4.12	16	Unavailable
2021-07	3.01	28	Unavailable
2021-08	9.49	22	Unavailable
2021-09	1.51	11	Unavailable
2021-10	3.79	15	Unavailable
2021-11	3.03	23	Unavailable
2021-12	4.75	15	Unavailable
2022-01	3.15	27	Unavailable
2022-02	6.16	34	Unavailable
2022-03	3.66	14	Unavailable
2022-04	5.04	16	Unavailable
2022-05	4.38	5	Unavailable
2022-06	0.59	10	Unavailable
2022-07	1.73	14	Unavailable
2022-08	0.65	7	Unavailable
2022-09	6.38	47	Unavailable
2022-10	8.07	29	Unavailable
2022-11	4.8	34	Unavailable
2022-12	7.24	34	Unavailable
2023-01	8.54	24	Unavailable
2023-02	8.71	35	Unavailable
2023-03	6.85	19	Unavailable
2023-04	4.97	14	Unavailable
2023-05	2.01	20	Unavailable
2023-06	1.51	40	Unavailable
2023-07	3.16	33	Unavailable
2023-08	1.23	68	Unavailable
2023-09	1.37	43	Unavailable
2023-10	0.23	28	Unavailable
2023-11	0.67	32	Unavailable
2023-12	0	34	Unavailable
2024-01	0.59	34	Unavailable
2024-02	1.34	54	Unavailable
2024-03	9.75	60	Unavailable
2024-04	23.1 (sparse month)	2	Unavailable
2024-05	0	21	Unavailable
2024-06	0	52	Unavailable
2024-07	0	45	Unavailable
2024-08	0	7	Unavailable
2024-09	1.16	4	Unavailable
2024-10	3.54	12	Unavailable
2024-11	5.87	17	Unavailable
2024-12	2.06	51	Unavailable
2025-01	1.28	30	Unavailable
2025-02	4.9	37	Unavailable
2025-03	3.29	31	Unavailable
2025-04	3.11	49	Unavailable
2025-05	3.12	41	Unavailable
2025-06	1.58	79	Unavailable
2025-07	0.96	73	Unavailable
2025-08	0.93	42	Unavailable
2025-09	0.2	38	Unavailable
2025-10	0.81	107	Unavailable
2025-11	0.46	49	Unavailable
2025-12	0	5	Unavailable
2026-01	Unavailable (sparse month)	0	Unavailable
2026-02	Unavailable (sparse month)	0	Unavailable
2026-03	Unavailable (sparse month)	0	Unavailable
2026-04	Unavailable (sparse month)	0	Unavailable
2026-05	Unavailable (sparse month)	0	Unavailable
2026-06	Unavailable (sparse month)	0	Unavailable
2026-07	3.1	4	Unavailable
2026-08	0.11	9	Unavailable
2026-09	0.34	4	Unavailable

How much does removing question-shaped name matches change this series?

This aligned sensitivity check uses the same admitted transcripts, duplicate exclusions and word denominator. It removes name matches in question-shaped segments; questions can be genuine dialogue, and viewer readouts can be non-questions. Neither scenario identifies the speaker or reliably isolates viewer messages.

Chihiro: annual name rates, main versus question-filtered scenario
Year	Main rate / 10k words	Question-filtered rate / 10k words
2015	0	0
2016	0	0
2017	0	0
2018	0.33	0.3
2019	0.96	0.71
2020	4.1	3.81
2021	5.81	5.29
2022	5.92	5.52
2023	5.27	4.92
2024	5.19	4.86
2025	1.86	1.73
2026	1.07	0.96

Heuristic high-rate episodes for the selected name

A flagged month has at least ten weighted matches and three recordings, with a rate at least three times the surrounding ±12-calendar-month median (at least three eligible neighbour months; baseline floor 0.2 per 10,000 words). Adjacent calendar months are grouped. These thresholds are descriptive—not a significance test, a life-event date, or a prediction.

Chihiro: heuristic high-rate episodes
First recording month	Last recording month	Consecutive months
2019-01	2019-01	1
2020-04	2020-05	2
2023-02	2023-02	1
2024-03	2024-03	1
2024-10	2024-11	2
2025-02	2025-05	4
2026-07	2026-07	1

Methods, coverage and uncertainty

This is descriptive, heuristic research on admitted public transcript text. It is separate from the sourced wiki and does not verify the wording, identify unnamed speakers, infer private relationships, or evaluate a person.

How the estimates are constructed

Explicit name strings and selected spelling variants are matched using contextual rules and hand-set weights. Pronouns and roles such as “my mum” are not resolved to people; ambiguous names and aliases can be wrong.
Eligibility excludes other explicitly labelled speakers, playback, text-to-speech and uncertain audio where marked. Unlabelled material remains unidentified, and automatic readout filtering is incomplete.
594 identical selected public transcript renditions are excluded by matching their segment text, timing and labels. This does not prove that their complete media or recording identities are identical.
Rates use eligible transcript words, not recording duration or real-world attention. Recording dates come from corpus metadata and may themselves be uncertain.
200 resampling draws combine matching weights with recording resampling. Ranges are conditional on those assumptions; they exclude unknown ASR errors, registry mistakes, unresolved speakers and missing recordings. They are not calibrated probabilities or prediction intervals.
The co-mention baseline circularly shifts each name’s positions within a recording, retaining within-name temporal clustering. Lift is a descriptive comparison, not a corrected statistical test.
Model-rated per-person tone, diagnostic interpretations, alleged relationships, early-warning predictions and historical model-score joins are not presented. Heuristic high-rate episodes describe only the retained text and recording-date metadata.

Snapshot and reproducibility bindings

Generated: 2026-10-23T21:22:41.615Z
Corpus release: release_3adcd996790b191e838207d0
Summary release: summaries_d4b0c9de954d89c75415f742
Source archive checksum: 894ca60927b95b048a79a83845ef8f8413ab75d30eeb9f7f07461038614db4ca
Corpus manifest checksum: 6006096b14c922b3f90ffea27453f24a1066b6fd2a8d5f3bb05b9a55abdc7753
Transcript input digest: d8d9e3d1cb0f6e98ed98d6f4ebcb351dbf48dc790e7531ba71bdb55190f34a48
Name-registry checksum: 0448e1f47c66715d8e52220526e5b84c071cc622aa79fa92f19f8ee10798866a
Builder checksum: 57b94045274dfc784795ae4e975765ec9dc209d9892590bd81690950d7110198
Methods: mention-dynamics-public-v1
Aggregate payload checksum: 42a318f24bdb590625ed4eda40ae1b9184a6c1f787cc4a090d9353418cb056c9

Only this validated aggregate projection is included here. Research excerpts, samples, raw media, private review records and voice/face data are not included. This text-only study does not join historical model-rated passage scores.