"Died Suddenly" in AI Numbers Tell a Story

A couple of days ago, I just happened to see several reports about young people that had collapsed and/or suddenly died. What baffles me is that there are a lot of people walking around that don’t seem to think there’s anything different about this.

There was one report about the wife of a musician named, Nu Breed. His beautiful wife died suddenly—she could not have been older than her 30’s. Another report was about Tori Kelly, a 30-year-old Country music singer that is a two time Grammy Award winner—she collapsed suddenly. There were a couple others that actually died that were young. I could not remember who they were, but I did find a Canada Press report about a hockey player, 18-years-old named, Tyson Downs, it said he died a sudden death. All of these reports were on a news feed on the same day.

It seems like most of the people were in their 30s or younger, which is also not a common thing until the last, say, couple of years. So what else has happened in the last couple of years?

They never seem to know what caused these deaths just that they either died unexpectedly or died suddenly. Sometimes they do mention cardiac arrest.

I decided to use Bard Google.com, an AI tool by Google. I wanted to see statistics on the instances of the “died suddenly” or “died unexpectedly.”

 
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I asked the AI tool, how many times do the phrases died unexpectedly or died suddenly appear in Google searches before November 2020? The reason I picked this date was because it was just before the pharma products were released to the public. December 2020 through around February 2021, was about the timeline of the rollout.

The tool wrote that in total there were 11.5 million searches before November 2020–these were searches in time before the release of the product and earlier. The summary mentioned this could be due to deaths of several named celebrities.

Then I asked, how many times do the phrases appear in Google searches after January 2021?

The summary said there was a total of 8.2 million searches. When you compare the first question before November 2020, although it is higher, it covers a much longer time period—this could include searches that could have gone back decades, right?

Post product release, it went down to 8.2 million, but that only covered the timeline from January 2021 to present. After January 2021, is a much shorter time period, so the 8.2 million in a shorter span of time tells a story.

Then I started plugging in date ranges.

Google searches between November 2019 and December 2020? A 13 month-period just prior to the product release and that number was 6.6 million.

Google searches between January 2021 and February 2022? The 13-month period just after the product release and it drops to 2.5 million.
                                               
I decided to change the questions, because we’re talking about the end users doing searches on what phrases were top of mind of the time. But what could I find in terms of what numbers were actually out there from reports using those phrases?

To get more granular, I wanted to find out how many pieces of content were out on the Internet during these ranges, meaning what articles, blog posts, or major news outlets such as CNN and Fox, could have been reporting using these phrases?.

So I changed up the question and asked the following:

How many times did the phrase died unexpectedly or died suddenly appear in an article or news story online after January 2021?

 I did several ranges before and after product release, but then decided to compare apples to apples I would go on to query 2 ½ years before and 2 ½ years after product release.

Here are the results:

Between June 2018 and December 2020, this is just before release, back 2 ½ years. The answer was 2.9 million.
 

Between January 2021 and June 2023, this is just after release, 2 ½ years up to present time. The answer was 4.6 million.

Which timeline has the higher number? Before or after product release?

To reiterate, these numbers are the number of times these phrases were specifically mentioned in online content—they do not indicate or prove number of deaths.

Do you ever remember a time in Internet history going online and every day seeing 18 and 20 and 30 somethings just collapsing?
 

Again, this report does NOT prove anything. It just gives indicators relative to reports of deaths.

It’s basically just measuring the amount of times that these phrases appeared in reports that were relative to those deaths that were reported on.

Take a step back, what could these numbers tell you? They tell me something.

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