[00:00] Gigi's wigging out. Gigi, if it's CIA
[00:03] bark, let me know.
[00:07] >> Information is the oxygen of the
[00:09] democracy.
[00:10] >> There's so much evidence out there that
[00:12] even if less than 1% is true,
[00:15] that will be enough to collapse the
[00:17] current paradigm and change the whole
[00:20] planet.
[00:26] I've been watching Baron Coleman's
[00:28] streams for like the last
[00:30] 20 hours or something catching up
[00:33] because I had seen his work here. Let me
[00:35] go to his channel. I had seen his work
[00:38] um you know being reported on by like
[00:40] James Lee and uh Redacted and all these
[00:42] other places and it's like legit. Um and
[00:44] I get it and so I never really went to
[00:46] his stream and actually watched the
[00:47] whole stream because I it's a lot of
[00:49] time. But it eventually caught up to me
[00:51] that like I should probably catch up
[00:52] with what Baron's doing and see what's
[00:53] going on here. And I've now watched
[00:55] almost all of every single video except
[00:57] for one of them.
[00:59] And what I realized
[01:02] is that someone's got to put this
[01:03] onto a timeline and figure out when all
[01:07] these searches were happening relative
[01:09] to the Charlie Kirk timeline, the TPUSA
[01:13] timeline. what's happening in the world
[01:15] while all these really weird Google
[01:17] searches are being done in Israel and
[01:20] Washington DC and probably the FBI
[01:23] office in Huntsville, Alabama. So, I
[01:26] built that um and I went through all of
[01:28] his videos and tabulated all of the
[01:30] relevant Google search trends that he's
[01:32] found and put it on a timeline that
[01:35] paints a pretty striking picture. If you
[01:38] have not if you somehow have been living
[01:40] under a rock and have not seen this
[01:41] dude's face and not seen what this dude
[01:43] is reporting on um
[01:46] I don't know where you've been but
[01:51] um we'll catch you up. I'll give you the
[01:52] fast version because the tough part when
[01:54] people's information is hidden within a
[01:57] live stream there's a huge time
[01:59] investment required to dig it out and to
[02:01] put it all together. and Baron's
[02:03] investigation has been going on for a
[02:05] month now over many live streams that
[02:08] build on each other and you kind of have
[02:09] to watch them all in order to really get
[02:11] the context of what he's talking about.
[02:13] I highly recommend you do that. I right
[02:15] now I would recommend it's easy. You
[02:17] have a computer in front of you right
[02:18] now. I would recommend you open a new
[02:20] YouTube tab, search for Baron Coleman,
[02:22] and go and subscribe to him right this
[02:24] minute because his shit's fire. He's
[02:27] really interesting. He's got a great
[02:28] mind on this. Um, and he's bringing some
[02:30] of the most concrete facts, not like
[02:34] it's proving anything about like that
[02:36] person did it, but concrete facts about
[02:38] things that did happen that are
[02:40] extremely suspicious, that are digital,
[02:43] that is a digital footprint of what
[02:45] looks an awful lot like the planning of
[02:48] an assassination, happening before the
[02:51] assassination.
[02:53] And so, I just want to introduce you to
[02:54] him a little bit so you can get a feel
[02:55] for who he is and how this works. and we
[02:57] can show you the tool that he's using to
[02:59] to grab this data and evidence. And then
[03:02] we'll skip ahead and we rather than
[03:04] watching, you know, the 15 hours of live
[03:06] streams or whatever that I spent the
[03:07] last two days watching, we'll skip ahead
[03:09] from there to some of the more
[03:11] significant ones and kind of put it all
[03:12] together quickly so you can understand
[03:14] how groundbreaking this stuff is. Um, so
[03:17] I just want to go to his intro
[03:20] real quick and let him speak his own. I
[03:23] don't want it to be painful. I want this
[03:24] as painless as possible, but I didn't
[03:27] know how else to get this information
[03:29] out into the public, and I think it is
[03:30] disturbing enough that it needs to be
[03:32] out in the public. It is uh frankly one
[03:35] of the more disturbing things I've run
[03:36] across. But let me give you the
[03:37] background of how I did this.
[03:40] There's a there's a search function in
[03:41] Google I learned about years ago.
[03:44] And everybody knows how to use you open
[03:46] google.com and you can you can uh you
[03:49] get a search window and you start typing
[03:50] in your stuff. A lot of it's a de a lot
[03:52] of you have it as the default browser.
[03:54] So you just go up to your where you
[03:55] would normally type like uh
[03:57] baronolman.com or
[03:58] >> use Brave browser folks. Brave browser
[04:00] way better for your privacy. Way better
[04:02] platform.
[04:03] >> Whatever you would uh you go up there
[04:04] and you just start typing something, you
[04:06] know, uh closest grocery store and it'll
[04:08] pop up a Google search because Google is
[04:09] your default search engine. Uh, but if
[04:13] you actually go to the google.com page,
[04:15] it'll give you a search window, but
[04:16] there are a whole lot of functionality
[04:17] you can do in that search window that
[04:19] most people don't know about. And the
[04:21] reason I'm confident most people don't
[04:22] know about it is when I ran by several
[04:26] very sophisticated, again, household
[04:28] names in some instances, uh, names that
[04:30] have people that have advised
[04:32] presidents, uh, advised uh, on on mega
[04:36] national
[04:37] matters and instances.
[04:41] And I said, "Hey, have you ever heard of
[04:43] this search functionality in Google
[04:44] called Google Trends?"
[04:46] And several of them were like, "No,
[04:47] never heard of it. What is it? What does
[04:48] it do?" Some of them were like, "I kind
[04:50] of heard of it, but I don't really know
[04:51] what it was." I first heard of it when I
[04:53] was advising for a grocery store chain
[04:54] decade and a half ago, probably a long
[04:57] time ago. And uh I was a very small
[05:00] member of a team, but I was part of a
[05:01] team and the and the team had a very
[05:03] sophisticated guy on it. and he had
[05:04] discovered this functionality on Google
[05:06] where you could go and you could sort of
[05:07] view what it was people were searching
[05:09] and when and you could get
[05:11] >> makes a lot of sense why this tool would
[05:12] be useful for a grocery store chain
[05:14] >> trends related to it and so I'll
[05:16] demonstrate that for you on something
[05:18] random but it'll and I'll give you an
[05:20] idea of how it works and then I'll
[05:21] explain where I first applied this to
[05:23] any sort of breaking national story and
[05:25] then I'll explain how I applied it to
[05:27] Charlie Kirk and then I'll explain
[05:30] one of the most disturbing things I've
[05:32] come across in a very very long Okay.
[05:35] Um, so that's Baron. He's dope. And he
[05:38] says it a million times in his streams.
[05:40] Um, so I'm just going to say it for him
[05:41] right now. He is not making the claim
[05:43] that what we're about to talk about is
[05:45] proof of any specific guilt from any
[05:47] specific person. He's not claiming that
[05:48] like this is going to show you who who
[05:50] killed Charlie Kirk or who was it that
[05:52] was looking these things up. He's just
[05:54] showing you that this is what it is and
[05:56] it means what it means. So let's let's
[05:58] meet the tool Google Trends. Oh, you're
[06:01] getting a sneak peek. Um, so Google
[06:05] Trends tracks
[06:07] all of Google's searches all over the
[06:10] world all the time and you can pull that
[06:14] data in various ways. And so earlier
[06:16] today, um, just as an example for the I
[06:19] have never done this before about two or
[06:21] three hours ago. Um, as an example, it's
[06:23] like you can search yourself and see how
[06:25] many people are searching for you.
[06:28] And in the past day in the United
[06:30] States,
[06:32] there's two hits, two spikes
[06:36] at 1:28 p.m. and at 2:24 p.m. Uh, right
[06:41] before I went live earlier. Interesting.
[06:44] Um, all across the United States, just
[06:47] in the past day. If I expand it to the
[06:49] past seven days, um, because I'm
[06:51] relatively a public figure, there's, you
[06:53] know, some Google searches for me.
[06:56] What we are seeing on this chart is
[06:58] important to understand. The scale is 0
[07:00] to 100 on the left. And that doesn't
[07:03] mean zero searches, 100 searches. It
[07:07] means that in the time frame you're
[07:10] looking at, one of those days has the
[07:12] most searches. And here that is this
[07:15] day, October 24th.
[07:18] Today.
[07:20] Oh, because it's breaking up by
[07:22] timeline. So whatever time frame you
[07:24] choose, it'll segment that into time
[07:26] sections and then whichever time section
[07:28] has the most hits that becomes 100%. And
[07:32] then every other day is relative to the
[07:35] big day. So in this case if on this day
[07:38] October 20 if right here in this time
[07:40] frame I got 100 Google searches then all
[07:44] the others are relative to that time
[07:46] frame of 100. And so 21% means 21 out of
[07:49] 100 searches. If I expand my time frame
[07:52] to 90 days, the whole scale resets and
[07:54] now this is the biggest day, September
[07:56] 29th, 2025, that's the day out of this
[08:00] time frame, 90 days, where there were
[08:02] the most people Google searching me in
[08:04] the United States. And so all the other
[08:06] data points here are September 26, 54%
[08:11] of this biggest day. Okay, that's what
[08:14] this means. And you can look at it in
[08:17] all kinds of ways. U across whatever
[08:19] time frame you want. Um so over the last
[08:22] year, it's kind of interesting. I had
[08:24] the most Google searches March 2nd to
[08:26] March 8th of 2025. I don't remember what
[08:29] I was doing, but I'm sure I was causing
[08:30] trouble somewhere. Um then you can
[08:33] change it to be like in New York State.
[08:37] How many people are Google searching
[08:38] Ian? Interesting. It's that same time
[08:40] frame, March 2nd to March 8th. If anyone
[08:43] remembers in the chat what I was doing
[08:44] March 2nd through March 8th, let me know
[08:47] because I was probably starting trouble.
[08:48] I was probably talking to Elon or
[08:50] something like that, I would guess. Um,
[08:53] California,
[08:57] right? So, each different location with
[08:59] each different time frame will sort of
[09:01] yield a different window into it, but
[09:03] it's not terribly granular. You can't
[09:05] tell who's searching it. You can't tell
[09:07] exactly where it's coming from. Um, and
[09:10] you can't tell exactly how many searches
[09:11] it is. And with someone that's a public
[09:13] figure, it's not all that helpful in
[09:14] this context because there's going to be
[09:16] a lot of Google searches for someone in
[09:18] my position or for someone even more
[09:20] popular or famous than me. And so you
[09:22] got to take the tool for its own
[09:23] limitations is what it is. But it is all
[09:26] real data. It is all actual searches
[09:29] that actually happen. And if there is
[09:30] data on these charts, those were real
[09:33] searches.
[09:35] And so I wonder if it'll still show up
[09:37] because earlier today, just for the
[09:40] funny of it, I was like, you can also
[09:42] search internationally, right? And so
[09:43] over the past 12 months in Israel,
[09:46] there's no significant data to show that
[09:49] people in Israel are searching for Ian
[09:50] Carol. Thank God. Thank God. But then I
[09:54] reduced the time frame to 30 days and to
[09:56] 60 days, and I was like, cool, nothing's
[09:57] showing up. Nothing's showing up.
[09:58] Nothing's showing up.
[10:00] Um, and on one of the time frames, it
[10:02] showed me a little blip. And so I opened
[10:04] up the 7-day time frame and noticed that
[10:08] in Israel there are searches for me on
[10:10] October 20th at 11 p.m. and October 21st
[10:14] at 5 a.m.
[10:17] And it might just be a few searches. It
[10:19] might just be like four Google searches
[10:20] and one Google search kind of a thing.
[10:22] Although 21% doesn't really equal 1/4,
[10:25] but you know what I'm saying. So on
[10:28] October 20th, someone was searching for
[10:30] me in Israel. What was I doing on
[10:32] October 20th? I don't know. Maybe I was
[10:37] This is actually a slightly different
[10:38] day than we honed in on earlier. Um
[10:42] because it can be a little shifty as far
[10:44] as what
[10:46] six days ago.
[10:48] Yeah. So October 20th was two days after
[10:51] my last Free Speech Friday.
[10:54] Two days after I did this whole live
[10:57] free speech Friday about the Israeli
[10:59] propaganda machine and about all the
[11:01] Jewish donors and about all the
[11:03] organizations they have and their
[11:05] skirting of Farara. It was a very
[11:07] critical stream, let's just say. And so
[11:10] maybe it's a coincidence, but my best
[11:12] guess would be that people in Israel
[11:14] were probably Google searching me
[11:15] because they were not exactly stoked
[11:17] about the live stream that I had done.
[11:19] And I'm not saying that like MSAD was
[11:20] Google searching me. I'm just saying
[11:21] that people in Israel were Google
[11:23] searching me and maybe they're just
[11:24] regular civilians that are just curious.
[11:26] Maybe they're hyped. Maybe they're
[11:28] homies that are in the chat right now.
[11:29] Um or maybe they were people like that
[11:32] don't like me. Um who knows? You can
[11:35] only ascribe as much as you can ascribe
[11:36] to it. And it's really all speculation
[11:38] beyond the fact that Google searches
[11:40] happened. Okay, that's layer one
[11:47] of this idea a very long time. And I
[11:50] just go
[11:51] >> and Baron
[11:52] walks us slowly into this idea like I
[11:55] did where he shows us he used the
[11:57] Atlanta Braves as a basic search to show
[11:59] what trend lines tend to look like and
[12:01] why you can't use this technique on big
[12:05] things that are popular that get lots of
[12:07] Google searches. You have to use it on
[12:08] things like someone's full name or an
[12:11] address or, you know, stuff like that.
[12:15] Um,
[12:19] so then he searched Tyler James
[12:21] Robinson,
[12:23] which is Tyler Robinson's full name.
[12:24] Most of us don't know Tyler Robinson's
[12:26] full name, but it is Tyler James
[12:28] Robinson.
[12:28] >> Tyler James Robinson. So, I did a search
[12:30] for Tyler James Robinson nationally over
[12:33] the entire United States for the past
[12:34] seven days. And you'll notice the
[12:37] gigantic spike right after the news
[12:38] broke. But I noticed right over here
[12:39] there was a little blip on September 9th
[12:40] at 7 p.m.
[12:43] Damn, that's weird. That is weird.
[12:45] >> And keep in mind, this is a blip large
[12:47] enough to show up
[12:49] on a on an index at a two. Now, granted,
[12:52] I'm going to keep going. You're going to
[12:53] be surprised by what I've show you here
[12:54] in a few minutes. It's a blip large
[12:56] enough to show up as a two the day
[13:00] before the Kirk shooting. The day before
[13:02] the Kirk shooting, someone in the United
[13:03] States searched Tyler James Robinson,
[13:06] the full name, first, middle, last name
[13:08] of the shooter. Now, what's interesting
[13:09] about that is I've not seen him listed
[13:10] anywhere as Tyler James Robinson. I've
[13:12] seen Tyler Robinson a lot. I've seen his
[13:15] name, his mom's name. I think her name
[13:17] was Amber.
[13:18] >> Okay. So, not going to sit around and
[13:21] watch the whole thing. Um, I recommend
[13:23] that you do go watch the whole thing.
[13:25] Um, because he gets into more granular
[13:26] detail and he looks up different
[13:29] locations and he hones in and he he also
[13:31] looks for other locations where there is
[13:32] no data and he shows you that. And so
[13:34] the granularity of watching his whole
[13:35] stream is important because you get the
[13:37] context that it's not ju he's not just
[13:39] like cherrypicking random things and
[13:41] being like look there's a crazy trend.
[13:43] He's looking all over and he's showing
[13:44] you that like no it's just searched in
[13:47] this one place at this one time not
[13:49] anywhere else not any other time. That's
[13:51] weird. And what he realizes is that
[13:54] Tyler James Robinson was searched the
[13:56] day before the shooting in the United
[13:58] States. and he hones in on realizing
[14:00] that Tyler James Robinson was searched
[14:01] in Washington DC at 12:00 p.m. the day
[14:04] before the shooting. And he was searched
[14:06] in Huntsville, Alabama at 4 p.m. the day
[14:08] before the shooting. And Huntsville,
[14:09] Alabama is a weird place, but he knows
[14:11] from his time looking into Thomas
[14:13] Matthew Krooks, which is where he first
[14:14] started applying this technique to
[14:17] crimes like this to high-profile cases.
[14:20] He knows that in Huntsville, Alabama,
[14:22] there's an enormous FBI field office.
[14:25] And so Huntsville, Alabama shows a lot
[14:27] of blips on a lot of searches that he
[14:28] winds up doing. And then also the
[14:30] District of Columbia at 900 p.m. there
[14:32] was a huge signal. And that is not
[14:36] what's on screen there. That's District
[14:38] of Columbia.
[14:40] District of Columbia.
[14:42] And then he shows Oh, then he's on to
[14:46] something else. I must have skipped over
[14:48] it. Um,
[14:50] so
[14:52] that's the technique that's being used
[14:53] here. And this is just the start. Tyler
[14:56] James Robinson is just the start.
[14:59] That would be enough to collapse the
[15:01] current paradigm and change the whole
[15:04] planet.
