Categories
Research

Q interpretations: Q clock demystified

Q is not very complicated to figure out, but the true meaning is buried beneath layers of fantasy and role playing.

Q is the president of the United States. (Or someone extremely close to him) There. Easy enough, isn’t it?

Of all the confusing evidence, nothing is more convoluted that the “Q clock”. I first heard about it in the fall cabal video series. I was fascinated, but I wanted more information on the origin of the clock. The clues that led to the creation of said clock were vague. There seed to be pretty heavy use of creative liberty.

Some of you may have read my previous post regarding the Q posts and word frequency analysis. It’s frustrating as a researcher being told repeatedly to “go read the posts”. No one had a clear answer to give me. You can search for all the references to the word clock by using this link: https://qalerts.app/?q=clock

The simplest explanation is most often correct. In this case, let’s look at two cryptic phrases used by Q.

1) Line up the markers
What are the markers? A few posts mention markers. They are in my opinion the time stamps of the Q drops. Q is trying to tell us to pay attention to the TIME.

2) Think mirror. An overly complex explanation of this is provided by proponents of the Q clock theory, using diving lines across the clock face. However, much more simple explanation exists: The president’s tweet when lined up with the markers MIRROR the content of the drop.

Proof. Q talks about proofs more than once. These proofs are quite simply time based proofs that mirror the president’s future tweet. (Future proves past).

So what about the clock? As much you might want to believe in an elaborate time traveler’s clock, a simple explanation makes much more sense! I’m not ruling out time travel just yet but I do urge caution when coming to conclusions. Let’s also remember another quintessential Q point: “Disinformation is necessary.”

Categories
Research

Q Posts Decoded Using Word Frequency Analysis

Using Python and the NLTK library (Natural Language Tool Kit) I analyzed all of Q’s posts up to May 16th 2020. I wanted to see which words were used the most often and which phrases come back more than once. I think you will find it quite interesting.

Here are the top 11 relevant words in Q’s posts:

Q (4735 times)
POTUS (513 times)
Think (487 times)
people (339)
about (326 times)
more (279 times)
been (214 times)
believe (203 times)
against (201 times)
FAKE (173 times)
NEWS (169 times)

And just for good measure, WWG1WGA!!! (99 times)

You probably noticed I’m not counting the stop words. Stop words are words such as I, you, is, can, be, etc. Stop words are generally ignored in natural language processing. I kept them intact for this exercise but I did not use them in the top 11 words. You’ll also notice that I kept the capital letters. Normally text is converted to all lowercase before doing analysis, (normalization) but because so much meaning is placed on little details such as capitalization, I left it intact. Let’s run the code again but this time we will include the line lower_text = data.lower() from the second part of the code below. Let’s see what it gives us.

q (4737 times)
have (648 times)
think (601 times)
potus (523 times)
people (456 times)
news (384 times)
public (292 times)
being (265 times)
fake (226 times)
believe (217 times)
against (216 times)

Now we’re getting somewhere. It’s clear from this analysis so far that the words POTUS and THINK are the most frequently used words.
In this next part, we will look at complete sentences or groups of words that re-appear in the text. We will use normalization for this analysis since we want to know the subject of the words. We won’t concern ourselves with capitalization in the next part and we’ll normalize the entire text to lower case first.

Some of the top 13 word phrases used in Q’s posts are:
What has been said about the US military? The speech yesterday verified and…. (and unlocked so much).
News in all forms unlocks the map. Expand your thinking. The great awakening.
for our struggle is not against flesh and blood but against the rulers…
the powers of this dark world and against the spiritual forces of evil…
be strong in the lord and his almighty power. Put on the full (armor of god)…

This is using groups of 13 words. As you can see below, these phrases keep coming back again and again in various forms.

Let’s look at a few more groups of words. First, let’s look at some of the top groups of 3 words together:
Why is this (158 times)
Is this relevant? (144 times)
Do you believe (139 times)
Believe in coincidences? (106 times)
These people are (104 times)
more than you (70 times)
have more than (57 times)
the great awakening (54 times)
the fake news (54 times)
future proves past (46 times)

and for good measure:
trust the plan (37 times)
fake news media (36 times)
not a game (35 times)
enjoy the show (24 times)

Let’s keep it going with groups of 4 words. Here are some of the top groups of 4 words:
Why is this relevant? (141 times)
Do you believe in (109 times)
you believe in coincidences (106 times)
more than you know (65 times)
have more than you (55 times)
of the united states (42 times)
these people are stupid (40 times)
this is not a (40 times)
not good enough – (impeach potus) (36 times)
enjoy the show. q (32 times)
president of the united (29 times)
the great awakening. q (29 times)
the fake news media (29 times)
full armor of god (20 times)

Ok. So where does that leave us? It leaves us with a general knowledge of what Q is trying to say (in my humble opinion). Here is the condensed version of the recurring themes:
1) POTUS and united states military. This is a recurring subject in many forms.
2) You have more than you know. Whatever this means, it seems important.
3) Do you believe in coincidences?
4) Put on the full armor of God
5) The fake news media
6) We have it all

These are fragments of text that keep showing up. I think the 13 word groupings analysis gives some good hints about how to proceed. It’s clear that yesterday’s speech is important. Q says a few times that you need to connect the markers and that news in all forms unlocks the map. It’s quite clear to me that these messages are the most important bits since they keep repeating. What does it mean exactly? I don’t know. I plan to analyze this further.

I hope you enjoyed this analysis. If you would like to preform your own analysis using Python and NLTK, I have provided the source code below.

Here is the python code to extract the text from the webpage:

import codecs
def remove_html_tags(text):
    """Remove html tags from a string"""
    import re
    clean = re.compile('<.*?>')
    return re.sub(clean, '', text)

from bs4 import BeautifulSoup
with open("posts.html", encoding="utf-8", errors="ignore") as f:
	data = f.read()
	soup = BeautifulSoup(data, 'html.parser')
	post_list = soup.findAll("div", {"class": "dont-break-out"})
	for post in post_list:
		cleantext=remove_html_tags(str(post))
		file1="qposts.txt" 
		text_file = codecs.open(file1,mode='a',encoding='utf-8', errors='ignore')
		text_file.write(cleantext)
		print(cleantext)

Once the text is extracted and separated from the HTML, you can use this code to do your own frequency analysis:

import nltk
with open ("qposts.txt", "r", encoding="utf-8", errors="ignore") as myfile:
    data=myfile.read().replace('\n', ' ')
lower_text = data.lower()
data = lower_text.split(' ')
fdist1 = nltk.FreqDist(data)
#Use the command below to print single words
#print (fdist1.most_common(200))
#The next section is used to analyze groups of words 
from nltk import ngrams, FreqDist
all_counts = dict(fdist1)
for size in 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13:
    all_counts[size] = FreqDist(ngrams(data, size))
#Change the number 13 to any number from the list above
print(all_counts[13].most_common(100))

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Thank you! Where we go one, we go all!
– Dan Joseph

Categories
Research

Ozone kills SARS

Corona discharge: High voltage electricity that creates ozone.

Some good news today. Ozone kills the SARS virus.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312702/#sec1-3title

Several researchers have pointed out that the new coronavirus (COVID-19) is similar to SARS in it’s structure:
https://www.thailandmedical.news/news/ozone-can-be-used-to-destroy-the-new-coronavirus-and-disinfect-areas

This new disease may be susceptible to ozone. What is ozone? It’s 3 atoms of oxygen: O3. I’ve also seen it called trioxygen. We all know that oxygen is O2, so what happens when we add another atom to make this new molecule? It becomes unstable and now has the ability to oxidize other molecules.

Oxidation is the process of sharing electrons, which can destabilize microorganisms.

Viruses are very delicate. They are threatening because once inside the body they replicate very fast. However, outside the body they can’t replicate. They can only live a short time. They are easily destroyed with simple chemicals.

Ozone is one of those chemicals. You are going to laugh at this next part, because it’s very ironic! Ozone generators use a high voltage spark gap to create ozone. What this looks like is a purple electric spark. You’ve seen this before. Any time high voltage is used you might smell ozone. What’s so funny about that? The name for this type of electrical discharge is… Corona discharge.

Corona discharge is a 4rth state of matter known as plasma. This plasma is electrically charged gas. The term for this is ionized gas. The high voltage electricity rips apart oxygen molecules (O2) into single oxygen atoms. The result is is a bunch of single O atoms, that eventually collide with O2 molecules and join it temporarily to create O3. O3 is unstable and eventually degrades to O2. This is known as the ozone-oxygen cycle.

How do you generate ozone? Many UV air filters will generate ozone as a byproduct of the UV light hitting the oxygen molecules. This won’t generate a lot of ozone. If you’re going to get an air filter I’d get one that also does HEPA. This will clean a room’s air but you’ll need something else if you want pure ozone.

Many ozone air generators can be purchased cheaply and they will do the job but you probably want to limit your use of this to sanitization.

Medical grade ozone is free from impurities and that’s what is used for some forms of alternative therapy. You can’t patent ozone gas since it exists naturally, everywhere.

It may not be the cure, but it could turn out to be an effective and less toxic form of prevention.

I don’t want to breathe pure ozone gas, but I will use it to sanitize bedspreads and freshen them up by putting them in a plastic bin along with the ozone generator for a few minutes.

I also gas my living area and leave for a walk. I turn the fan on to circulate the ozone gas. By the time I get back, the gas has dispersed and reacted with any potentially harmful airborne pathogens lurking about my apartment.