Bad Dreams and Flying Machines
Feels like years since we woke up last Saturday to find nightmares do come true, as the Uniparty kept control of the RNC safely out of members’ hands for three more years. But not a minute to wonder why rank and file meekly submits before SPY BALLOONS were suddenly discovered, floating everywhere.
In this edition of Malwords Weekly, we size up the keywords driving the news, take a closer look at ChatGPT, and finally take a swing at quantifying the Censorship AI (Asymmetric Information) Gap.
Player(s) of the Week
Some lively goings on the past few days—SOTU heckling, Twitter exec testimony, sacking of James O’Keefe, stray Chinese party balloons…
But from the malwords you’d never know it.
Total WPM for all 20 terms in the Global Malwords Index (GMI), peaked at 1275.50 before settling back to 1001, a drop of 40 points for the week.
Most active Primary (>100 WPM) terms were CHINA, at 224.40 WPM, -39% for the week; INFLATION swung wildly between 327.10 and135.00 WPM but managed to finish at 178.90, +33%; while UKRAINE gained 15% to finish at 199.5.
In the Secondaries (10-100 WPM), CHATGPT continues on a tear, breaking briefly into Primary territory at 125.30, before finishing at 82.20 up 237% in one week—more on that below. TERRORISM, SPY BALLOON, and AIRSHIP were all down double digits, with politically correct AIRSHIP losing 90% of its wind to pffffinish in tertiary space at 5.3 WPM. We all saw that one coming.
Tertiaries saw DEBT CEILING break through the floor to finish at 2.40, down 80% after House Speaker Kevin McCarthy argued for a “responsible increase coupled with spending cuts.” Looks like that debate is over.
All This Chitter Chatter Chitter Chatter
CHATGPT came out of nowhere at the end of December as a next generation bot to which you can outsource homework and deskwork, striking fear into bosses and teachers, and joy into students and knowledge workers everywhere.
While the more traditionally-minded may prefer learning survival skills to letting Zuckerberg, Bezos or Big Brother rent ad-free in their heads, a gap that is getting overlooked is training. A bot has to learn not just to perform duties but how to take responsibility before it can replace you.
And those who see that gap will jump on the bandwagon to outsource the gruntwork their paymasters have been outsourcing to them for all these years— tell your bots to talk to my bots—and head to the beach.
In the hustings, ChatGPT continues to sha-doo-bee up the ranks, shattering records as it goes. For the month of January it was testing the 50 WPM threshold, the level at which news consumers are hearing a term at least once daily.
Last week, ChatGPT broke briefly into Primary territory, with the announcement of competitor Google Bard. Both bots are backed by Woke companies, so look for an immediate demand for a badass AI out of China or Trump.
ChatGPT is still pretty new in the news corpus, so no collocates yet. We will share as soon as we have them.
EXTRA: How Ginevra de’Benci Beat The Reaper and Became Immortal
AND NOW: Back to our scheduled programming—
The Censorship AI Gap
Ed Dowd at Phinance has posited a second AI Gap— The Asymmetric Information Gap—between the Criminally Skeptical and the Willfully Ignorant over the safety and effectiveness of the mRNA vaccines
The concept is tantalizing, and our first instinct as predictive linguists was to find that gap and measure it. But to measure something you need to string a line between two points, and the far side of the information gap sits on MAGA social media. That’s where the censorship has driven it— to platforms that are privacy-minded, and do not sell their data or provide API’s. That’s how they stay in business.
So not only is most of the actionable information clustered to one side, so is nearly all of the metadata that would allow us to quantify whether this gap is a crack or a chasm. It’s like trying to calculate a ratio without a numerator. You have to work with what you’ve got, and make your best guess.
The gap we wanted to measure was between selected malword frequencies in the legacy news corpus and on alternate social media. We selected Gettr for two reasons:
Centrality. Gettr is a watering hole not merely a news aggregator for MAGA and Vaxx Skeptic communities in much the same way as NY Times, CNN, MSNBC function for theirs, the Woke Left and Willfully Ignorant
Accessibility. Gettr was by far the easiest of the platforms from which to pull the metadata on malwords.
The terms that we targeted were DIED SUDDENLY, EXCESS MORTALITY, and DIRECTED EVOLUTION.
Based on SEO traffic as well as posting distributions of a sampling of red-check and rank & file accounts, we saw an average of 150,000 unique visits per day, with 53% of visitors averaging five posts per day at 7.7 words per post, producing just north of 80,000 posts and an ingest of about 617,000 words daily.
Legacy Media, by comparison, produces between 60-100 million words daily.
So this is a comparatively small sampling. But remember— we are measuring gap here. We expect to see a lot of information, like a lot of wealth, concentrated in obscenely few hands.
While Gettr metadata is not granular down to the day, we can calculate averages over identical periods of performance for the same terms in Legacy Media to compare average WPMs.
For DIED SUDDENLY we see 1.41 WPM in Legacy Media vs 3.21 WPM on Gettr (DIED SUDDENLY-G)— a gap of 228%.
EXCESS MORTALITY registers 0.34 WPM in Legacy Media vs 5.29 WPM on Gettr (EXCESS MORTALITY-G), a 1555% differential:
Most eye-popping is the gap opened by DIRECTED EVOLUTION, a chasm of 3,300%:
While DIED SUDDENLY and EXCESS MORTALITY are terms that have been kicking around for a while, TARGETED EVOLUTION burst out of nowhere courtesy of a James O’Keefe bombshell dropped, complete with barroom brawl, on January 30.
To which Pfizer responded the next day saying, Yeah, we do GAIN OF FUNCTION experimentation. What are you going to do about it? The media took this as the cue from their biggest advertiser and shut down all mention of DIRECTED EVOLUTION.
How else do you explain that kind of Asymmetrical Information Gap?
Analysis
While DIED SUDDENLY is increasingly used to lampoon a regime desperate to explain away a mounting body count, it registers the smallest AI gap. Because it is a known malword and can be neutralized with name-calling.
EXCESS MORTALITY and DIRECTED EVOLUTION are actuary and pharma industry terms. They can’t be catcalled away, but require much more lethal treatment to neutralize and keep from escaping the labs where they were created— to prevent Vaxx Defenders from asking questions and Vaxx Skeptics from feeling comfortable with using these “harmful” terms.
The point of the suppression is that nobody will have any idea of what you’re talking about and, to save face in front of their friends, pretend you are a babbler advocating some kind of foreign god.
That is how the Censorship AI Gap works. It’s an artificial asymmetry of information concentration—designed to make the intelligent look stupid by magnitudes of order. In other words, it’s a bluff to keep you from playing your asymmetrically superior hand and walking away with all the chips.
About Malwords
Malwords are keywords weaponized for information warfare. They function within public discourse as intellectual malware, verbal viruses designed to spread quickly for the purposes of a) silencing dissent through control of language, narrative, and speech, b) increasing public tolerance for government-sanctioned atrocity and c) emboldening officials to commit acts of atrocity.
Malword strength is measured by their frequency of appearance in the published body of language (corpus), and expressed in words per million (WPM) linguistic units (words, numbers, symbols, acronyms, etc).
Malword WPM’s typically follow a three-phase lifecycle: Pre-Curve test-markets the new term and puts up the store front; Curve, is launch phase, characterized by a rapid, exponential liftoff and sudden plunge; Post-Curve is a long, asymptotic tail and is the period in which primary-objective atrocities are implemented.
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Harvey Oxenhorn, is a cybersecurity consultant, founder of Malwords Weekly, and author of the upcoming book, The Atrocity Algorithm, How The Media Became The Enemy of The People. He writes The Five Stages of Unf*ck, Red Pill Journey to January 2.0. , also on Substack. Follow him on Gettr, Gab, and MeWe @HarveyOxenhorn