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“I mean, what are they gonna say about him, when he’s gone, huh? What are they gonna say? Are they gonna say “he was a kind man”? “He was a wise man”? “He had plans”; “He had wisdom”? Bullsh**, man! What are they gonna do when he’s gone? … Am I gonna set them straight, NO…” Dennis Hopper, Apocalypse Now

I first heard about the really sad news concerning Chris Henry from Twitter and like a billion other people, googled his name to find out the latest news about him. Sure enough, Google was featuring real time results on Chris Henry SERPS since this qualified as a hot “Breaking News Story”. Now plenty of folks in our industry such as Lisa Barone, Rae Hoffman & Michael Gray were pretty down on this latest Google Initiative…I didn’t necessarily agree but I also hadn’t paid as much attention to the issue as them. However, when the Chris Henry tragedy hit, I really had a chance to evaluate Google’s offering in “optimum” conditions. I have to say that I was impressed…

No, I wasn’t just a little impressed…I was impressed to the level as if I were seeing John Coltrane, Charlie Parker, Dizzy Gillespie, Thelonius Monk, Leroy Vinnegar & Buddy Rich jamming together on the same celestial bandstand in the sky. I’ve scarcely seen anything more impressive online than what I viewed (and I suspect the real time results will only to get better).

Google’s Real Time SERPS brought the immense disjointed conversation surrounding the Chris Henry story into an easily digestible extremely compelling flow that anyone could follow just by watching them scroll…and that is one heck of an accomplishment.

In the relatively brief time I monitored the Real Time SERPS, here are some of the things that I saw:

Major News Sources like CNN, ESPN & TMZ reporting the breaking news (of which the details weren’t always consistent).

Local News Sources & Football Blogs also reporting the news.

Fake News Sources reporting erroneous news (and real news sources exposing the fakes).

Teammate Chad OchoCinco tweeting multiple times in anguish and other athletes like Nick Barnett who learned of the news on Twitter expressing their sadness.

Expressions of sorrow from random people in the Twitterverse.

Multiple people attempting to compare Henry to Tiger Woods in some manner…usually via lame attempts at humor.

Some spam but not enough to detract from the flow of information. The spam was no more noticeable than the ripples made by skipping a stone across a pond…slightly visible for a brief moment before vanishing for good.

Kurosawa’s Rashomon offers the lesson that relationship of a person telling a story to its action can greatly impact that person’s current perspective and future communication of the story. To best approach the actuality of “ultimate truth”, all available perspectives must be brought together as seamlessly as possible. Google’s Real Time Search gives searchers a super-mega-amphetamine Rashomon-like perspective of breaking news…a seemingly infinite number of viewpoints culled down to representative views from trusted sources reflective of the whole. These real-time SERPS show amazingly vibrancy compared to their static counterparts.

Todd Mintz is the Director of Internet Marketing & Information Systems for S.R. Clarke Inc. He also is on the Board of Directors at SEMpdx, runs his own side gigs and tweets quite a bit.

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Google Increases Locations Serving Search Requests By 600% From Last Year

Google has significantly increased the number of sites and ISPs it uses to serve search requests according to a study by researchers at the University of Southern California.

The study reports Google increased the number of locations serving search requests from less than 200 to more than 1,400 between October 2012 and July 2013. In addition, they have also expanded the number of ISPs used from just over 100 to more than 850.

As reported in the study:

Over the past 10 months, Google search has dramatically increased the number of sites around the world from which it serves client queries, repurposing existing infrastructure to change the physical way that Google processes web searches, according to a new study from USC.

Most of this expansion is simply Google using client networks that it already relied on for hosting content like YouTube videos and repurposing them to deliver faster responses to user requests for search queries.

The study’s lead author and USC PhD student Matt Calder explains it by saying:

Google already delivered YouTube videos from within these client networks, but they’ve abruptly expanded the way they use the networks, turning their content-hosting infrastructure into a search infrastructure as well.

Why Is This Important?

While you may be reading this and asking, “Why is this news?” it’s important because it shows that search is still a high priority for Google while it expands in different directions.

Google still values the search experience of its end users, otherwise they wouldn’t be making this kind of investment if search wasn’t still a critical component of their business.

The strategy seems to have benefits for webusers, ISPs and Google, according to the team. Users have a better web browsing experience, ISPs lower their operational costs by keeping more traffic local, and Google is able to deliver its content to webusers quicker.

Rest assured that Google hasn’t forgotten where they came from. Delivering the best search experience to users is still a top priority, as this study indicates.

Sequential For Ipad Review: Mix Dubstep Loops In Real Time

I love music. I am a big fan of all genres. Whether its orchestral music from the 1950s, 1980s Goth, thrash metal, or hardcore punk, I’ll give just about anything a spin at least once. I also love music-based apps, especially the ones that let you create music.

I love music. I am a big fan of all genres. Whether its orchestral music from the 1950s, 1980s Goth, thrash metal, or hardcore punk, I’ll give just about anything a spin at least once. I also love music-based apps, especially the ones that let you create music.

Sequential for iPad is a music app that lets you create dance-friendly sampling loops that can be added to tracks you are already working on in other programs. Don’t be intimidated. You don’t have to know how to write music to have fun. You just have to feel the beat…


What caught my eye when I first saw Sequential in the App Store was its similarity with Yamaha’s Tenori-on. The digital musical instrument allows users to create sounds by pushing different buttons. Although this app doesn’t have quite the variety of the Tenori-on, it definitely has the same visual-performance feel. Sequential also lets you fine-tune each effects track with a few additional effects.

The screen is made up of four sets with either three or four columns in each. There are 12 rows, each with a slider bar for fine-tuning the individual effect. There are eight different “scenes” so you can create different loops and move between them during your performance. Below the fine-tuning sliders sits three modulation buttons that adjust the sliders all at once in a particular order while you hold them down.

There are 34 effects packages, including four demos. However, you are not limited to what comes with the app. You can import loops from other apps, and even import your own, customized loop that you’ve created in Sequential.

You can also alter the way the effects playback by adjusting the duration, playback and timing of the audio file and playback rate. Change the length, duration, or crossfade time of effects with shuffle, strobe, and transition.

When you are ready, you can record real-time performances and then copy and paste them into another app, or export them to your computer using iTunes file sharing.

App Use

The first thing I did when I opened the app was to push a bunch of buttons to see what would happen. The results were awesome, which shows that you don’t have to know what you are doing to make some sweet sounds. After goofing off for about 10 minutes, I actually read the user guide to check for features I hadn’t already figured out from just playing around with the app.

The first thing you will need to do is load a sound file. Tap the file at the top of the screen to get started. If I remember correctly, the default file is Acid Bassline. Tap it.

Then, select a sound file to get started. If you don’t know what to do, try a demo file to get an idea of what Sequential is capable of.

Then, select the particular effect you want to add to the sound for each beat. You can add four different spectrum-based effects, four different oscillator effects, or two different time-based effects. You can also keep the sound in its original form by leaving it at the top of the grid under the “clean” effect.

To change an effect, tap the row that is related to the change. Categories are clearly labeled with different colors. Blue is for spectrum. Green is for oscillator. Pink is for time. Fine-tune the row by adjusting the parameter slider. Unipolar sliders are based on minimum to maximum adjustments, while bipolar sliders will apply a different effect to the left or right side.

The three buttons at the bottom left side of the screen give you the ability to change the parameters to either rising, falling, or random modulations in real time. They only work when you hold them down. Use them during a life performance, or while recording your loop.

There are eight separate scenes so you can switch between different effects. Create different parameters for the sound file for multiple scenes to create changing effects in real time. The scenes are available by tapping one of the number buttons at the bottom of the screen.

In addition to altering the effects of each beat that the sound makes, you can also adjust the transport settings. Some audio files are longer than others, so you will need to change one or more setting. Drag the duration setting from left to right to adjust it. Tap the playback setting to switch between forward and backward.

Change the timing from normal four-four beats to triplets. When you tap the timing toggle, the grid will switch between sets of three or four columns. Additional transition features will alter the length ratio, decrease the duration, and adjust the crossfade time between effects. Experiment with each to get the sound you like the most.

When you are ready, record your loop. To do so, activate the feature by tapping the record button at the top left of the screen. The button will blink, letting you know that it is ready in standby. Then, press the play button and it will automatically record your performance. Then, press the play button to stop the loop and stop the recording.

The file will automatically be saved to your recorded file browser. You can then tap the copy button at the bottom, which will copy the file to the general pasteboard so you can paste it into another app that supports the copy/paste feature. You can also export the file by connecting your iPad to your computer and syncing with iTunes file sharing.

Loops that you’ve recorded can also be used as sounds that you can extend the effects adjustments. For example, I recorded a dubstep track and then used it to add more effects. The recorded track will have the new effects as the “clean” effect and you can add more tweaks to the sound file. You could, potentially, add more and more effect to the original sound file until it is a completely distorted mish-mash of sound.

The Good

The app is very easy to use. Experimenting with possibilities helps you learn everything Sequential is capable of. The few features you can’t figure out on your own are clearly explained in the user guide.

Files can be easily exported. It can be as simple as a copy-and-paste action in some compatible apps. Export through iTunes file sharing makes it possible for you to send the loop to any app that supports .aif files.

The Bad

Some of the user interface actions are awkward. For example, whenever you load a new file, it automatically starts it from the clean effect. I’d love to be able to switch between files while the effects I’ve created remain the same throughout. That way, you can see what it sounds like with different sounds.


Sequential for iPad costs $4.99, which is the perfect price for an app like this. It offers unlimited sound options without being overwhelming or hard to understand. It may seem basic on the surface, but after delving into the features, you will see that it offers lots of components with deeply integrated effects tweaks.


I love it when a music-making app is so easy to figure out that anyone can use it. If you have any interest in creating sound loops, even just for fun, this is a great app for experimenting with the various effects alterations that are used for producing and mixing interesting samples. Sure, five bucks is a lot for an app just to mess around with. But, maybe you will discover that you were meant to be a deejay. Download it in the App Store today.

Related Apps

Yamaha’s TNR-i – US is another sequencer that lets you activate sounds by pushing buttons on a grid. The TNR-e – US features electronica and dub step beats.

Google Confirms Search Console Reporting Is Delayed

Google Search Console is affected by an issue that’s causing delays in updating the Index Coverage report.

This was confirmed by Google on Twitter at 5:11 am EST on September 14.

We’re currently experiencing longer than usual delays in the Search Console Index Coverage report. This only affects reporting, not crawling, indexing, or ranking of websites. We’ll update here once this issue is resolved. Thanks for your patience!

— Google Webmasters (@googlewmc) September 14, 2023

The Index Coverage report in Search Console shows which pages on a site have been indexed, as well as any problems encountered with indexing.

Note that this issue does not affect Google’s ability to crawl, index, or rank web pages.

This particular issue only impacts reporting.

That means recently published pages may be omitted from the Index Coverage report even though they are, in fact, indexed.

Until the problem is fixed, the best way to check if a page is indexed is to use the “site:” operator in Google Search.

For example, if you recently published a page on video conferencing tips, you would search for it like this:

If Google can find it with the ‘site:’ operator then your content is being indexed just fine.

Still, it would certainly be more convenient if the Index Coverage report was working as designed.

When Will This Be Fixed?

It’s difficult to say when this problem will be resolved. Even Google hasn’t been able to provide an accurate estimation.

If you look at your Index Coverage report right now you’ll see it was last updated on August 31.

Google’s John Mueller acknowledged the issue on September 9, saying the report should be caught up “soon.”

It looks like they’re a bit behind, but I heard they should be catching up soon again. Sorry for the delay!

— 🍌 John 🍌 (@JohnMu) September 9, 2023

Here we are 5 days later and still no sign of the issue being fixed.

Unfortunately, a delay like this is not unheard of. Search Console reporting has been delayed several times in the past, with issues lasting from days to weeks.

In all cases, Google tweeted updates as reporting was up to date.

So the only thing site owners can do is remain patient and continue to wait.

This article will be updated when Google confirms a fix has been implemented.

Google Search Patent Update – February 18, 2023

What can I say? It’s been damned slow as far as search-related patent awards over the last while – which is actually quite odd.

I was joking with fellow patent hound, Bill Slawski, recently that Google figures we’re on to them… and stopped filing stuff.

Just kidding!

But here’s a few from the past few weeks.

Latest Google Patents of Interest

Filed: December 20, 2023

Awarded: February 18, 2023


“Systems and methods of providing content for display on a computing device via a computer network using a location feature index are provided. A data processing system can receive a request for content from the computing device, and can determine a geographic location of the computing device associated with the request for content. The data processing system can identify a keyword indicating a non-geographic semantic feature of the determined geographic location. The identification can be based on the determined geographic location and from a location feature index that maps geographic areas to keywords that indicate non-geographic semantic features of the geographic areas. The data processing system can select, based on the keyword, a candidate content item for display on the computing device.”


“The data processing system can determine a geographic location of the computing device associated with a request for content. The data processing system can to identify a keyword indicating a non-geographic semantic feature of the determined geographic location. The data processing system can make the identification based on the determined geographic location and using a location feature index that maps geographic areas to keywords that indicate non-geographic semantic features of the geographic areas.”

“For example, the data processing system can determine that a geographic location has high end retail clothing stores. From a semantic analysis of this information, the data processing systems can identify keywords “diamonds” “luxury car” or “tropical beach vacation” and associate or map these keywords to the geographic area. The data processing system can receive a request for content to display on a computing device in the geographic area, e.g., the computing device is in the vicinity of the high end retail clothing stores. Responsive to the request, the data processing system can use the “tropical beach vacation” keyword to select a content item for a luxury tropical resort as a candidate for display on the computing device responsive to the request. In this example, the geographic area having high end clothing stores can be unrelated to any tropical location, although a user of a computing device (e.g., a smartphone) walking down a street having high end clothing stores may also be interested in high end luxury vacations. Thus, the data processing system can identify a group of keywords for one or more geographic areas based on semantic features or characteristics of those areas, and content providers can select content for a type of geographic area (e.g., high end retail areas) in general rather than focusing on a single area such as one set of latitude and longitude coordinates near a particular clothing store.”

Filed: December 16, 2023

Awarded: February 4, 2023


“An assistant executing at, at least one processor, is described that determines content for a conversation with a user of a computing device and selects, based on the content and information associated with the user, a modality to signal initiating the conversation with the user. The assistant is further described that causes, in the modality, a signaling of the conversation with the user.”


“… a user interface from which a user can chat, speak, or otherwise communicate with a virtual, computational assistant (e.g., also referred to as “an intelligent personal assistant” or simply as an “assistant”) to cause the assistant to output useful information, respond to a user’s needs, or otherwise perform certain operations to help the user complete a variety of real-world or virtual tasks.”

“The assistant may proactively guide the user to interesting information, even in instances where there was no explicit user request for the information. For instance, in response to the assistant determining that a flight reservation for the user indicates that the flight is delayed, the assistant may notify the user without the user requesting that the assistant provide information about the flight status.”

“The assistant may generate a single notification representing multiple notifications and multiple types of user experiences, based on an importance of the notifications. For instance, the assistant may collapse multiple notifications into a single notification (e.g., Jon, you have four alerts. Your package is on time, your flight is still on time, and your credit card was paid.”) for trivial notifications.”

Filed: March 20, 2023

Awarded: February 18, 2023


“Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextually disambiguating queries are disclosed. In an aspect, a method includes receiving an image being presented on a display of a computing device and a transcription of an utterance spoken by a user of the computing device, identifying a particular sub-image that is included in the image, and based on performing image recognition on the particular sub-image, determining one or more first labels that indicate a context of the particular sub-image. The method also includes, based on performing text recognition on a portion of the image other than the particular sub-image, determining one or more second labels that indicate the context of the particular sub-image, based on the transcription, the first labels, and the second labels, generating a search query, and providing, for output, the search query.”


“(…) a graphical interface being presented on a display of a computing device and a transcription of an utterance spoken by a user of the computing device; identifying two or more images that are included in the graphical interface; for each of the two or more images, determining a number of entities that are included in the image; based on the number of entities that are included in each of the two or more images and for each of the two or more images, determining an image confidence score that reflects a likelihood that the image is of primary interest to the user;”

“For example, a user may ask a question about a photograph that the user is viewing on the computing device, such as “What is this?” The computing device may detect the user’s utterance and capture a respective image of the computing device that the user is viewing.”

Filed: July 26, 2023

Awarded: February 18, 2023

NOTE: This seems to be targeted at Google Plus, as such may have no bearing in current approaches with Google.


“Systems and methods for determining a user engagement level for a content item are provided. In some aspects, indicia of one or more user interactions with a content item are received. Each user interaction in the one or more user interactions has an associated time and an interaction type. A user engagement level for the content item is determined based on the one or more user interactions, the associated times, and the interaction types. The user engagement level for the content item is stored in association with the content item.”


“The subject technology generally relates to social networking services and, in particular, relates to determining a quality score for a content item in a social networking service.”

“A recentness score of the content item is determined based on the time stamp. An affinity score representing an affinity of the first user to the second user in the web-based application is also determined. A popularity score of the content item is determined based on user interactions with the content item. A quality score of the content item is generated based on the recentness score of the content item and a combination of the affinity score and the popularity score of the content item.”

And there we have it for another week.

Drop back next week for more (unless Google decides to rain on our parade again).

More Resources:

Image Credits

In-Post Images: USPTO

Twitter’s Title Replaced In Google Search Results

Google mysteriously began showing the wrong result for Twitter on Thursday December 6, 2023. Multiple theories on why immediately popped up. The real reason turned out to be surprising and also led to even more questions.

Google Shows Wrong Title for Twitter

I discovered this earlier in the day and didn’t think about it until I saw a tweet by Bill Hartzer (@bhartzer) about it on Twitter, where he asked,

“Why is Google showing a random Twitter account in the SERPS for Twitter?”

The most immediate suspect was that a rogue hacker had hijacked Twitter and was redirecting it.

Another theory pointed the finger at Google, that it was Google’s fault.

Google’s become so complex, it wasn’t entirely unreasonable to assume that Google was the culprit. Google accidentally removed an entire website from the index just a few days ago.

When you reverse the search and search for the ReallySlowMotion Twitter account, here is what Google showed:

Who was to blame?

Ex-Googler Pedro Dias (@pedrodias) suggested the culprit might be canonicals. In the world of SEO, canonicals are like the butlers in those mystery novels who always seem suspicious.

Pedro tweeted,

“Probably, for some reason Google chose that url as canonical for Twitter root URL.”

Cache Adds to the Mystery

Then another clue made the whole mystery clear as mud.

Then Martin MacDonald (@searchmartin) stepped in. He managed to view a version of Twitter without JavaScript enabled, a version that Google may have seen.

I’m not sure how he did it because Twitter tried to redirect me to a legacy version of Twitter when I tried to view Twitter with JavaScript disabled.

Here’s what Martin tweeted:

“The canonical, on the non JS enabled version of the desktop twitter homepage (that took a while to actually get to) points at the wrong page for some reason.”

And there you have it! The answer may be that Twitter is showing the wrong canonical.

Twitter Title Mystery Solved?

How did that wrong canonical end up on Twitter’s home page?

Was Twitter hacked?

Was it an innocent mistake?

What has been suggested is that Twitter’s canonical tag is incorrect.  How that happened is a mystery.

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