God bless you and keep you from harm, this day and forever.
"We at LAX hope you have had an acceptable experience."
New mask orders blasting on PAs, and 70+ % compliance.
‘’’Non-linear or Information war’’’ uses social subversion tactics to gradually degrade the whole information infrastructure, from popular entertainment media content and news to textbooks and even local or regional historical records.
Historical frauds are legitimized, self-destructive behaviors are promoted as fashionable, mental illnesses and perversions like pedophilia are induced by repeated suggestion publicity and gradually normalized by stages by seditious, subverted “Mockingbird” news and entertainment industry.
Gradually, over decades, cultists reduce our public vocabulary, promote social division, emphasize inequities, fan flames of old grievances and use false flag terrorism to foster or rekindle resentments.
By falsifying historical records satanic cultists produce evidence to support a shameful, cult-created US history that never happened. Destroying the story of a nation destroys that nation; values and principles for which men died for are discarded with astroturfed support, endorsed by meaningless elections with no ID required votes. The nation falls apart.
Information warfare destroys people and countries from within. By controlling the minds of citizens, by exploiting conditioned responses with prepared information packages, targeted individuals or nations can be (and have been) brought to take ANY specified action (including 'genocide') voluntarily. It doesn’t have to be that way, but it is that way.
DIG MEME PRAY
>16440123
Legacy Media shills
MSM media shills are not just covering up for common criminals, they are covering up decades of crimes against children.
MSM media shills had ample reason and repeated opportunities to investigate Pizzagate and dozens of similar previous scandals.
MSM media shills not only failed to investigate but actively covered up, campaigned extensively to suppress and to discredit the evidence others uncovered, defaming honest researchers, making them objects of scorn, ridicule and contempt.
MSM media shills did this in both dramatic entertainment and in news content across multiple platforms; all while knowing the stories about the traffic in and ritual sexual abuse of children were and are true.
“I didn’t know,” is not a valid or feasible defense for MSM media shills. Our enemies have exposed themselves and the contemptible kayfabe of legacy media.
We the People are awake.
Justice is coming
DIG MEME PRAY
>>16440307 <<<<<<<<<<<<
The Babylon system is talismanic magic, it invests material objects with social significance, making them objects of desire. NPCs are programmed from infancy to desire material consumer goods and to preform slave work for the cultists to acquire them.
What we can tell about a person, just using data from a mobile device.
We can map the room, identify furniture, objects, animals and other people. We can tell if the user is male or female. If female we can tell when they are cycling naturally, or using birth control. And we can know what you are feeling, a based on your interests, marital and economic circumstances, browser history and from all that data know exactly what, placed in your newsfeed, or in dynamic adverts targeting (you) will motivate you to preform, voluntarily, the behavior we desire.
"We" in this case means the operators of (for example) an in-game AI, or a reddit chatbot called H.A.N.K . This device data is the same data continuously harvested by social media, big tech, gaming companies, researchers in cognitive science, and dozens of intelligence agencies.
This is not a future scenario, this technology has existed for some time, is in use now in popular gaming environments.
Here are three papers which when integrated with AI give the operator enormous control of target's decision making in any chosen area.
Predicting Latent Narrative Mood using Audio and Physiologic Data
Human communication depends on a delicate interplay between the emotional intent of the speaker, and the linguistic content of their message. While linguistic content is delivered in words, emotional intent is often communicated
though additional modalities including facial expressions, spoken intonation, and body gestures. Importantly, the same message can take on a plurality of meanings, depending on the emotional intent of the speaker. The phrase ”Thanks a lot” may communicate gratitude, or anger, depending on the tonality, pitch and intonation of the spoken delivery. Given it’s importance for communication, the consequences of misreading emotional intent can be severe, particularly in high-stakes social situations such as salary negotiations or job interviews…¨
"… Machine-aided assessments of historic and real-time interactions…"
"In this paper, we present the first steps toward the realization of such a system. We present a novel multi-modal dataset containing audio, physiologic, and text transcriptions from 31 narrative conversations. As far as we know, this is the first experimental set-up to include individuals engaged in natural dialogue with the particular combination of signals we collected and processed: para-linguistic cues
from audio, linguistic features from text transcriptions (average postive/negative sentiment score), Electrocardiogram (ECG), Photoplethysmogram (PPG), accelerometer, gyroscope, bio-impedance, electric tissue impedance, Galvanic Skin Response (GSR), and skin temperature.
https://groups.csail.mit.edu/sls/publications/2017/TukaAlHanai_aaai-17.pdf
If there are 10 people talking or background, say–
Segregating Event Streams and Noise with a Markov Renewal Process Model
We describe an inference task in which a set of timestamped event observations must be clustered into an unknown number of temporal sequences with independent and varying rates of observations. Various existing approaches to multi-object tracking assume a fixed number of sources and/or a fixed observation rate; we develop an approach to inferring structure in timestamped data produced by a mixture of an unknown and varying number of similar Markov renewal processes, plus independent clutter noise. The inference simultaneously distinguishes signal from noise as well as clustering signal observations into separate source streams. We illustrate the technique via synthetic experiments as well as an experiment to track a mixture of singing birds. Source code is available.
https://jmlr.csail.mit.edu/papers/volume14/stowell13a/stowell13a.pdf
Voice in different phases of menstrual cycle among naturally cycling women and users of hormonal contraceptives
Riding theredcotton pony? The DARPA AI knows.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0183462
Well I've got to move on now to Gemini Junction
And that clock full of good times awaiting me there.
Lord, I hope that I find it this side of the Jordan
and if I don't – well it won't be like I didn't care.
There'll be mountains to pass full of many a hazard,
where riders lose heart and horses go lame,
there'll be rivers to cross and a terrible desert,
but I know where to go. It's the way that I came.
There's a man in the moon over Gemini Junction
and the Mexicans call him primero ladrone
what that means, I believe, is the thief who's forgiven:
I should think that he'll wink when he sees I've come home.
I've dreamed of that man with the stars all around him;
I've dreamed of a dawn that would quicken the dead,
but I've dreamed far too long – It's time that I found them,
Or went bust. So there's just one more thing to be said:
I'd admire to see you in Gemini Junction
and I'll send you a letter if I ever get there;
It'll say "What a day for my love to come calling!
My best to the rest. I'm enclosing your fare."