AFNPT The guest list, checked

The guest list, checked / Where she has a point

Where she has a point

The places the record is on her side, or open, and every attack we wrote against our own work.

Two of her Hansell charts agree with each other. Her July 9 stream and the chart she showed on Stew Peters put "Bradley Hansell" on the same dates. Google says the same request made on the same day returns the same sample, so two matching screenshots can also mean they were taken the same day. Nobody, including us, knows when she took each one. We have asked for the capture dates.

She said "sampling" herself. On the July 16 stream with @danksterintel she described Trends as a sampling method, on air. That is correct. It is also why a blip that vanishes the next day is a sample wobble, not a deletion.

She disclosed the Ondas timing on her own slide. Her slide says nobody on that list worked at Ondas in the 2025 window. The open question is why "ONDAS" is in the search term and on the 2025 rows anyway.

She hedges, often. "Allegedly", "in my opinion", "not proof", "I'm not accusing anyone" are all on tape. This site quotes the hedge and the claim together wherever both exist, because a hedge does not change what a slide says.

She does name outliers and warn about common names. Five outliers out of 43, a July 9 warning that a plain common name proves nothing. The filter removes people from her list; it never tests the method.

Google's written warning about noise is recent. The passage this site quotes most, that one-off spikes "should not be interpreted as real search activity or evidence of individual searches", is not in archived copies of Google's Trends FAQ from August 13, 2025 or April 20, 2026. It is in the copy from May 16, 2026. Anyone who says Google added that wording after September 2025 is right about the date. The earlier page already said Trends is a sample and that low-volume terms show as zero, and a Google spokesperson gave the same explanation to ABC News in Australia in December 2025.

Multiple dates for one person are not automatically a contradiction. Two rows can be two strings or two loads. The point made here is narrower: each date was presented as exact and meaningful.

Stew Peters' words are not hers. "Hard data that has been cross-checked" and "irrefutable" are his. They are labelled as his wherever they appear.

@danksterintel is on several of these clips. See What @danksterintel did in July.

And the limit that cuts both ways: nobody can show her total number of tries. The tests on this site show the method; they do not give her count.

The research team's own gap list, as written before publication (17 items)
G1 She hedges, a lot, on tape. "allegedly", "in my opinion", "not proof", "not accusing anyone", "I'm not saying he was". She will play those.
Our answer: quote the hedge AND the claim together - the hedge doesn't change the slide that says "SEPTEMBER 8, 2025 ... THE DRIVER OF THE SUV".
G2 She said "sampling" herself (collab 1:05:39; Aug 4). She'll say "I told you it was a sample."
Our answer: then a blip is a sample wobble, not a visit - and why "they wiped it" the next day?
G3 She disclosed the Ondas timing on her own slide. She'll say she was transparent.
Our answer: then why is "ONDAS" in the search term and on the 2025 rows?
G4 Sheet TITLE column is not the same as the typed search string. The 2026-title point is airtight only where the 2026 word is IN the search term ("Yoav Har Even ONDAS", "FMR DIR" rows).
G5 Multiple dates for one person aren't automatically a contradiction. Adams has two rows (Aug 10 + Sep 5); Davis's Sep 6/7/8 could be different strings or loads. The point is that each one was presented as exact and meaningful.
G6 Same-day matches are expected. Same request, same day = same sample (Google 2015).
Our answer: Ask for capture dates.
G7 She does name outliers and "normal official business." 5 outliers out of 43; Friday names maybe official. Shows some filtering - but the filter only ever removes people, never the method.
G8 She warned about common names (Jul 9 26:33). She'll cite her caution.
Our answer: Counter: "Justin Davis" plain.
G9 "Who's to say" anyone showed up (Oct 3 24:24). She'll say she never claimed attendance.
Our answer: Counter: same stream 2:29:16 "very high degree of certainty that we know who was there"; Davis slide.
G10 @danksterintel is on several of these clips. Jul 16 collab (live re-run, "they have wiped some"), Jul 17 "Denx and I tried to look it up yesterday. Totally gone" (OEsx 0:44:21), Aug 4 (@danksterintel supplies "sampling").
G11 Stew's words are not hers. "hard data that has been cross-checked" (STEW 0:49:48), "multiple massive spikes September 6th through the 9th" (STEW 2:12:19), "searched on September 8th and 9th" (Davis, STEW 2:10:56) - Stew's monologue.
Our answer: Label as Stew.
G12 Whisper vs captions disagree in places (e.g. Oct 3 37:55 "would" vs "wouldn't be expected").
FG1 Hansell match (her best card). Jul 9 stream (bmjVyIJelZc @1888) and her Stew chart (collab a1ObeHOaq1k @2251/@4138) show the same dates for Bradley Hansell ~Jul 12, Bradley Hansell O... ~Jul 14, Brad Hansell ~Jul 18 on different term sets (separate loads). Capture days unknown.
Our answer: Google - "the same request made on the same day will report data from the same sample." Ask her the capture dates of both screenshots.
FG2 Vegas loads agree. pET5yLlWcB4 @3426 (Jul 24 tooltip: Twiggs 87) and b0H3ekbYPpk (Jul 23: Kent 99) are different term sets with peaks in the same week.
Our answer: Same answer as G1 (capture days unknown; same-day = same sample).
FG3 Justin Davis twice. ~Sep 7 in Image Search (bmjVyIJelZc @4837) and ~Sep 8 in Web Search (kweYmsUrEUM @1264, Jul 13). Different search types, loads 4 days apart.t=1233, not @1264; the date Sep 8 is right.]
Our answer: very common name (thousands of Justin Davises), the week before the 10th; two blips a day apart in two different datasets isn't one person's search. Don't call it "random" as fact.
FG4 Same-session repeats (Oshri Lugassy ~Jul 4 + Sep 4 on two slides, an6dnXjnYwg 42:29 / 47:08) - expected; same sample.
FG5 F3/F4/F5 show the method; they don't give a count.

Every attack we wrote against our own work, with the answer and an honest rating

@danksterintel did this WITH her in July and was convinced. Now he flips? Who paid him?

, on camera. In July he typed her Stew chart in live and it did NOT match (collab frame 1:04:40, P8.2). Ana herself said "it is done through a sampling method" (~1:05:45). He kept checking; that's the job. Show the frame.

How good our answer is: STRONG if @danksterintel raises it himself early; WEAK if a critic raises it first.

@danksterintel said on his own stream the searches were being deleted. (collab 2:01:10, @danksterintel: "these google searches now they're being deleted it looks like possibly")

"I said that in July. I was wrong, and here's how I found out": Daffy Duck vanished the same way (P10 #1).

How good our answer is: MEDIUM-STRONG - this clip WILL be used against him; only a pre-emptive admission neutralizes it.

Controlled opposition / you're protecting Turning Point / Erika / the people named.

Attack the method, not people. Give the 60-second do-it-yourself so viewers don't need to trust @danksterintel. "People she named are real people" - good-place close.

How good our answer is: MEDIUM - motive attacks can't be disproven, only made irrelevant by "check it yourself."

They wiped the searches - they vanish within 24 hours.

The cartoons vanish too. Daffy Duck Sep 5 (02:52) -> "not enough data" (17:59), 7 of 9 cartoon blips gone, 2 moved (P2 R4). 42 blips -> 24 gone, 17 moved in ~2 h. Researcher: "exactly what to expect with Google Trends data." Her own "within 24 hours" matches Google's own once-a-day sample description (2015).

How good our answer is: STRONG.

The government CAN remove data - Google's Transparency Report shows 7.8 million removals. (collab 2:14-2:15)

That report is about "blog posts or YouTube videos"; the word Trends isn't on it. The Trends FAQ: "Unlike Google Trends, Autocomplete is subject to Google's removal policies" (since 2019). The Google AI answer on her own screen said Trends "does not delete historical search data". And no takedown order explains Daffy Duck.

How good our answer is: STRONG. Careful: Google DOES filter some searches (spam, duplicates, low volume, its own AI searches) - never say "Google never touches Trends data."

38 of 43 on the same three days. That can't be chance.

(a) The 43 are the survivors of "hundreds and hundreds" of names - the 38/43 is calculated AFTER the sieve. (b) She picked the three days after looking ("as I narrowed in on these three dates"). (c) Each name was tried with titles, misspellings, other spellings, other windows - every try is another ticket (P9). (d) Our public numbers: 468 tries -> 5 exactly on her three days.

How good our answer is: MEDIUM. Honest gap: we don't know her total tries, so we cannot show 38 is what chance gives. Real officials' names may draw some real searches. Never claim "the math proves it's chance."

Cartoons in her 'ISRTF-PLTR' format are a strawman. Her names are real officials with real titles.

We also ran her exact strings and real Army-documented visitors: 0 hits on their visit days (P2 R3). Re-running her exact strings gives other dates (Hansell: her Sep 8 -> Aug 17 x3; May 25 live in July).

How good our answer is: STRONG.

Other people pulled up her results on their own devices.

Same request, same day, same sample (Google, 2015) - checking the same day shows the same draw, not a real search. The test is checking a day or more later: July 16 and Oct 4 both failed (P8.2).

How good our answer is: If someone reproduced it days later with the same dates, we need to look at it honestly.

You get different results because you use a different account / IP / the new Explore page. Hers is the classic one. (she claims the new Explore has "manipulation", collab 0:59:39)

Our captures are on the classic Explore page (the "Try the new experience" banner is visible). Repeated loads within minutes give identical answers; differences follow TIME, not device (04 section C). @danksterintel's July run and her Stew chart were one day apart and different.

How good our answer is: MEDIUM-STRONG (Google's "same sample" statement is from 2015; no current official doc on per-user differences).

Looking it up on Trends counts as a search - your own testing created the cartoon blips (or her viewers created hers).

Trends measures "searches people make on Google," and a search is dated the day it's made. Nothing typed in 2026 can land on a 2025 date. Our cartoon blips are on 2025 dates.

How good our answer is: STRONG on the date point.

You cherry-picked your cartoon hits too!

Yes - that's the demonstration. We publish the whole count: 468 tried, 177 blipped, 5 on her three days. We show our denominator; she doesn't show hers.

How good our answer is: STRONG - turn it into the lesson.

Your own number says 2 in 3 names show NOTHING. So when her names show something, it means something.

Search hundreds and one in three still blips somewhere - that's dozens. Real visitors' names don't land on their real visit days. And a blip on the same name moves between loads (P8.2).

How good our answer is: MEDIUM-STRONG.

The noise paragraph was added in May 2026 - Google rewrote its FAQ to cover this up.

Google spokespeople said it to ABC and AAP in Dec 2025; Google's own economists wrote in 2009 that sampling "adds some additional noise"; researchers documented it in 2010, 2022, 2023, 2024. The "Autocomplete is subject to removal policies, unlike Trends" line has been there since 2019.

How good our answer is: STRONG.

Google is compromised - you can't trust Google's own FAQ.

Then you can't trust Google Trends either - her whole case is Google's numbers. Plus independent sources: Univ. of Sydney biostatistician, Central Bank of Chile working paper, peer-reviewed journals, two fact-checkers.

How good our answer is: STRONG (logic), though some viewers are unreachable.

The Cyprus searches for the Timpanogos hospital address prove foreknowledge.

Our control "Utah Valley University to Timpanogos hospital" blipped May 13, 2025 in the Tucson market. By her logic, Arizona had foreknowledge in May too. Hospitals' addresses are things people look up.

How good our answer is: MEDIUM-STRONG (our phrase was a Georgian translation from one pull; say so).

An escort on base looked up each VIP's face with Image Search - that's why it's Image Search and Sierra Vista.

"Tucson (Sierra Vista) AZ" is a TV market of ~1.27M people, not a base. Visitors are ID-checked at the gate (REAL ID + NCIC-III, photo taken there); VIP bios come from the visitor's own office. Real visitors don't show.

How good our answer is: STRONG.

The Army AI (GenAI.mil, 'web grounding') ran the searches automatically at midnight.

GenAI.mil launched Dec 9 2025, after her 2025 dates. Google's deployment guide tells government customers to switch the Google-Search grounding off; the approved version uses Google Cloud's stored web index. Trends filters searches made by Google products.

How good our answer is: MEDIUM-STRONG (Google hasn't published which grounding GenAI.

Mitch Snow was proven to be there.

Separate question, separate video. Even if every word he said were true, a blip can't add a name - the same blip shows up for Daffy Duck. (Harpole's complaint alleges travel records put Harpole in Texas - an allegation.)

How good our answer is: MEDIUM - we don't litigate Snow here, on purpose.

She never said it was proof - she says 'hypothetically' and 'I can't rule it out'.

Her: "this isn't just random noise ... so far past random" (wmLljWb4bcM 1:17:58); she named "the inside man" (1:28:26). Stew: "irrefutable" (02:07:41 / 02:09:07 / 02:14:52), "hard data that has been cross-checked. It has been verified." (00:49:48), "absolutely 0%" coincidence (00:50:53).

How good our answer is: STRONG.

She does live searches - you said she only shows screenshots because she can't replicate them.

Correct her record precisely: she did search live (5 Sep 2026) and said "before it gets wiped ... I know it's going to disappear." She expects the blips to vanish. Never say "she never searches live."

How good our answer is: STRONG if worded right; WEAK if the script says "never live."

Johnnie Moore's July spike lines up with real events - it's not random.

The same five names gave three different date sets on three loads: Jul 10/15 (her chart), ~Jul 13/~Aug 2 (July 16 live), ~May 31 (Oct 4). Which one lines up?

How good our answer is: STRONG once shots_C is recaptured with parsed dates (until then the Oct 4 dates are pixel-read).

@danksterintel is calling her a fraud - that's defamation / he's attacking a woman.

No claims about her motive or money.

How good our answer is: STRONG if the script follows P9; WEAK if VO says "fraud" as a statement of fact.