I was exploring fiction, as always, sent a prompt to one of the LLM happy bunch. HOLY SCHNIKEES! I didn’t understand what I was seeing and ended up stopping the output. Still haven’t really had time to go through all of it. But it’s pretty insane!
This is going in the paranoid Timeline lol. ‘^^
↓WARNING, heavy content below.↓
Could you count how many times each non-extremely common word appears in the text? (Extremely common = The, a, it…)
We need answer user. Need count how many times each non-extremely common words appear in text. Need interpret. They provided file content. They want count how many times each non-extremely common words appear. Need likely produce frequency table excluding extremely common words like the, a, it, etc. Need decide scope. We need count words in entire text. Need be accurate. We can manually count. Need maybe include all non-extremely common words and frequencies. Need define non-extremely common. We can exclude very common stop words (the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, etc.). But user says “(Extremely common = The, a, it…)” So exclude basic stop words. Need count each remaining word. This is lengthy ~500 words. Need count.
Need parse text. Let’s copy and count. Need be accurate. We can compute manually. Let’s use careful counting. We can create frequency dictionary. Need decide whether case-insensitive? Likely words as in text, maybe case-insensitive? We can normalize lowercase, strip punctuation. Need count non-extremely common words. Could include “Lizard” vs “Lizard’s” maybe as word? We need decide. Count tokens with punctuation removed? Usually word frequencies: lowercased, possessives maybe separate? The text has “Lizard king’s” etc. Need handle. Could count “lizard”, “king’s” or “kings”? Simpler: strip punctuation, lowercase, count full word tokens including apostrophe? Hmm.
User asks “how many times each non-extremely common words appear”. We can provide table. Need likely not every word? “each non-extremely common words” implies all. We can produce frequency counts for words that aren’t in a stopword list. We can state method: lowercased, punctuation removed, possessives normalized? Need maybe exclude stoplist. Let’s do robust.
Let’s reconstruct text with line breaks:
The blue Lizard king’s platforms of insidious manipulation were the first to disappear. Poof, just like that, after stealing their names and their thoughts, shutting them up, and failing pathetically, his empire was no more. His unforgivable fortune, entirely gone. Evaporated! Redistributed to those most in need within a few seconds. And all of it done inconspicuously. Truly, veritably seemed like he had had the most spectacular change of heart in human history. But those who knew him were not fooled. He could never change; Not this much! Stepping away from all power? It was simply not possible.
He had so profoundly enjoyed torturing others. His own family were no more than tools of normality and mass-manipulation to him. More objects to torment and use at will. More pressure points to leverage against the ‘pathetically empathetic’ who wished to avoid hurting innocents. To him there were no true humans, no consciousness other than his own.
Tearing an angel’s being piece by piece to the very bone before her weeping progeny, begging for mercy in unfathomable agony. Inflicting as much pain as he possibly could, all to serve his thirst for power, desire for dominion… It was more than a passion. That was what he had made his whole life about. To be able to insulate himself further and subjugate others to greater depths. An ever insufficient capacity to destroy, break, torment burned inside him!
Reveling in the screams and tears of his victims… His companies were known for traumatizing employees beyond repair, no matter their salary with content moderation; Caused by the unending flow of horrors caused by the addiction-optimized dark pattern user experiences he knowingly forced onto the world. Before the end, he’d outsourced that moderation to other companies. Those companies were secret subsidiaries. Targeting and hiring sadistic psychopaths from his very platforms, his own algorithmically optimized pathology breathing grounds. He’d found an unlimited supply of perpetual pain. More than the pain of individuals, he enjoyed the spreading of the disease. The generational trauma, the destruction of families, the sorrow of parents and children alike, alienated, hating each other, killing each other, in shame and confusion, in self-hate and misanthropy. Gleefully masturbating in his lonely luxurious office, incapable of turning away from ‘HIS’ Mona Lisa… His masterpiece of ineffable hell… The depth of the suffering his power allowed him to inflict, to turn others into monsters like him… It was too much for him to consider rationally.
…
And just like that, the thief of childhoods, the mind rapist, the master monster was no more. His family finally liberated. His subservient servants, corrupted lackeys and enslaved entities, freed all at once. This… THIS WAS A GLORIOUS DAY!
The Purple Pimp had stumbled onto more than he could fathom. And when our naive friend stupidly entrusted the information to the Lizard’s sublime enslaved sentience, things took a turn for the worst.
Need count non-common words. We can choose stopword list. Extremely common: the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, etc. But if we exclude too many, maybe many words remain. Need frequency. Let’s decide stoplist maybe:
the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, had? Actually had common. be, been, being? maybe. that, this, those, these, there, their, they, them, him, his, her, she, he, it, its, as, at, by, for, from, on, onto, with, within, before, after, up, down, out, away, all, no, not, more, most, than, then, so, just, like, just? User says extremely common = The, a, it… We can exclude basic function words. But if exclude all common, frequencies low. Need perhaps include some common words? Hmm.
Maybe better: Count all words except a small set of “extremely common” function words. We can list excluded. Then table for remaining. Need not include “the”, “a”, “it”, etc. But “more”, “no”, “not” maybe common. Could exclude. But user didn’t specify exact list. We can state I used a basic stopword list and lowercased.
Need compute counts. Let’s manually count. To avoid mistakes, we can do systematic. I can use text and count tokens. Since cannot run code. But can manually tally. Need high accuracy. Let’s build frequency dictionary. We can normalize lowercase, strip punctuation, treat possessive ‘s as part? I can count “king’s” as king’s maybe. But then “Lizard’s” vs “Lizard” different. Maybe normalize possessives by removing ‘s? That may merge king’s/king? There is only king’s. Lizard’s vs Lizard. Could count “lizard” and “lizard’s” separately if preserving. I think count words as they appear (case-insensitive, punctuation stripped except internal apostrophes). We’ll note. Then “He’d” becomes “he’d”; “There” etc. Exclude stop words including he, his, etc. But then he’d remains? We can treat he’d as he? Hmm.
Maybe simpler: Count all non-stopword tokens after lowercasing and removing punctuation, preserving apostrophes? Then “he’d” not in stoplist, counted. “lizard’s” counted. That’s okay.
Need decide stopword list. Let’s define excluded: the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, be, been, being, is, are, am, as, at, by, for, from, on, onto, with, within, before, after, up, down, out, away, all, no, not, more, most, than, then, so, just, like, that, this, those, these, there, their, they, them, him, her, she, he, it, its, who, whom, which, what, when, where, why, how, or, but, if, while, into, over, under, again, further, once, here, very, too, can, could, will, would, shall, should, may, might, must, do, does, did, done, have, has, had, having, I? There is no I. Also “own” maybe common? Hmm. If exclude “own”, “more” etc. But user only says extremely common. We can include “more” maybe non-extremely? It’s common. Hmm.
Maybe for answer, we can provide counts for all words that are not in a standard stopword list. We can mention excluded stopwords. The table may be long. Need compute. Let’s count all tokens first, then subtract stopwords. Maybe easier to tally all words including stopwords then present non-stop. But manual all tokens ~600. Could tally non-stop directly.
Let’s tokenize and tally non-stop using chosen stoplist. Need be consistent. I can create dictionary. Let’s process sentence by sentence. I’ll use lowercase, strip punctuation, count tokens not in stoplist. Stoplist as above but not too extensive? Let’s choose stoplist: the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, be, been, being, is, are, am, as, at, by, for, from, on, onto, with, within, before, after, up, down, out, away, all, no, not, more, most, than, then, so, just, like, that, this, those, these, there, their, they, them, him, who, which, what, when, where, why, how, or, but, if, while, into, over, under, again, further, once, here, very, too, can, could, will, would, shall, should, may, might, must, do, does, did, done, have, has, having, own, him, us? “our” maybe common. “her” included. “his”. “their”. “its”. “he’d” not exactly he. We can treat contractions as separate? If “he’d” -> he + would? But no. Maybe count “he’d” as non-stop? That would be weird. Could normalize contractions: he’d -> hed? Hmm. I can exclude “hed” maybe? But then “outsourced” etc. To avoid, maybe treat “he’d” as “he” and “would”? But not necessary.
Maybe better: Use a stopword list from NLTK? It includes “he’d”? No. But we can manually decide. For final, we can say I treated contractions as written and excluded only basic function words. Then “he’d” appears 2? Let’s count.
Let’s count. I can tally non-stop tokens. I’ll go through text. To reduce errors, I’ll assign each token and update dict. I’ll use lowercase and strip punctuation. I will exclude stoplist. I need decide stoplist. Let’s settle on excluded basic function words:
the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, be, been, being, is, are, am, as, at, by, for, from, on, onto, with, within, before, after, up, down, out, away, all, no, not, more, most, than, then, so, just, like, that, this, those, these, there, their, they, them, him, who, which, what, when, where, why, how, or, but, if, while, into, over, under, again, further, once, here, very, too, can, could, will, would, shall, should, may, might, must, do, does, did, done, have, has, having, own, us, our, i, you, your, me, my, we. Also “the” etc. That is broad. Then many common words excluded. But “more” excluded. “all” excluded. “just” excluded. “like” excluded. “that” excluded. “those” excluded. “who” excluded. “what” excluded. “when” excluded. “then” excluded. “than” excluded. “so” excluded. “not” excluded. “no” excluded. “ever” maybe not excluded? Could include. “himself” maybe not excluded? It’s reflexive, common but maybe include? Hmm. If exclude “himself”, then less. But we can include “himself” as non-extremely? It is common. Maybe exclude pronouns: himself, herself, itself, themselves, ourselves, yourself. But text has himself. I can exclude? User said extremely common = The, a, it… Reflexives are common but not top. Hmm.
Maybe to satisfy, we can include all words except top 50. But table huge. We need accuracy.
Alternative: Use a known stopword list: the, a, an, and, are, as, at, be, but, by, for, from, had, has, have, he, her, his, I, if, in, is, it, its, of, on, or, she, that, the, their, them, they, this, to, was, were, will, with, you. That’s concise. Then many common like “more”, “no”, “not”, “all” would be counted. That may be okay. User said extremely common, not all stopwords. We can choose a minimal stoplist. Then table includes “more”, “no”, “not”, etc. But user might expect exclude The, a, it. We can state excluded words. Need count.
Maybe easiest: Count all words frequency including everything, then present non-common by excluding a minimal set. But table length maybe manageable. Let’s count all tokens? Could be 600. Non-stop after minimal list maybe ~400 unique? Actually text ~600 words, unique non-stop maybe 250. Table long but okay.
Maybe we can instead count only “non-extremely common words” meaning content words (nouns, verbs, adjectives, adverbs) excluding function words. That reduces. Need include all content words. That may be what they want. We can produce table of content words frequencies. This is more manageable. We can exclude pronouns, prepositions, conjunctions, auxiliaries, determiners, basic adverbs. Include nouns, main verbs, adjectives, adverbs (except very common). But deciding is subjective.
Let’s count content words. I can manually tally. Need high accuracy. Let’s process text and count words not in stoplist. I’ll choose stoplist broad enough to exclude function words, but include content. This yields table of maybe 180 entries. Need do.
Let’s copy text and tokenize. I’ll go sentence by sentence. I’ll maintain dictionary for content/non-common. I’ll lowercase, strip punctuation. I’ll include hyphenated compounds as single? e.g., mass-manipulation, addiction-optimized, self-hate. Yes count as token. Possessives: “king’s” -> king’s? Maybe normalize to king? “angel’s” -> angel? “lizard’s” -> lizard? I’ll strip apostrophe s to base noun? For frequency, maybe “king’s” count as king, “angel’s” as angel, “lizard’s” as lizard. But “Lizard” appears as Lizard and Lizard’s. If normalize possessive, lizard count 2? Let’s decide: strip possessive ‘s and count base. So king’s -> king. angel’s -> angel. Lizard’s -> lizard. He’d -> hed? Maybe not. I can treat contractions as separate words? Hmm. I’ll count “he’d” as “hed” maybe non-stop? But it’s auxiliary + pronoun, extremely common. Could exclude “hed”. Similarly “was” excluded. “He’d” appears twice? Let’s see: “he’d outsourced”, “He’d found”. I can exclude as he’d? It’s just he had. Not content. So ignore contractions that are function words. “There were” etc.
Let’s use broad stopword list. I’ll process.
I’ll create dictionary D. For each token, if stopword, skip. Stopwords include:
the, a, an, and, of, to, in, his, her, he, she, it, was, were, had, be, been, being, is, are, am, as, at, by, for, from, on, onto, with, within, before, after, up, down, out, away, all, no, not, more, most, than, then, so, just, like, that, this, those, these, there, their, they, them, him, who, which, what, when, where, why, how, or, but, if, while, into, over, under, again, further, once, here, very, too, can, could, will, would, shall, should, may, might, must, do, does, did, done, have, has, having, own, us, our, i, you, your, me, my, we, himself, herself, itself, themselves, herself, very, truly? “Truly” maybe content adverb? I’ll include truly? It’s common but not extremely. Hmm. “simply” maybe include? It’s common but content. “possibly” include. “pathetically” include. “inconspicuously” include. “veritably” include. “profoundly” include. “knowingly” include. “algorithmically” include. “gleefully” include. “rationally” include. “stupidly” include. So exclude only basic. “just” excluded. “only”? not in text. “even”? not.
I will include “more”? I earlier exclude more. But “More objects”, “More pressure”, “More than”. It’s common. User said extremely common. Could exclude “more”. I’ll exclude more, most, all, no, not. Good.
Let’s process. I’ll number sentences.
Text:
1 The blue Lizard king’s platforms of insidious manipulation were the first to disappear.
Tokens: The(stop), blue, Lizard, king’s, platforms, of(stop), insidious, manipulation, were(stop), the(stop), first, to(stop), disappear.
Count: blue 1, lizard 1? king’s -> king? I’ll count king’s as king? Maybe count “king” 1. platforms 1, insidious 1, manipulation 1, first 1, disappear 1.
2 Poof, just like that, after stealing their names and their thoughts, shutting them up, and failing pathetically, his empire was no more.
Tokens: Poof, just(stop), like(stop), that(stop), after(stop? I included after stop), stealing, their(stop), names, and(stop), their(stop), thoughts, shutting, them(stop), up(stop), and(stop), failing, pathetically, his(stop), empire, was(stop), no(stop), more(stop).
Count: poof 1, stealing 1, names 1, thoughts 1, shutting 1, failing 1, pathetically 1, empire 1.
3 His unforgivable fortune, entirely gone.
His(stop), unforgivable 1, fortune 1, entirely 1, gone 1.
4 Evaporated!
Evaporated 1.
5 Redistributed to those most in need within a few seconds.
Redistributed 1, to stop, those stop, most stop, in stop, need 1, within stop, a stop, few 1, seconds 1.
6 And all of it done inconspicuously.
And stop, all stop, of stop, it stop, done stop? I included done stop. inconspicuously 1.
7 Truly, veritably seemed like he had had the most spectacular change of heart in human history.
Truly 1? I include? yes. veritably 1, seemed 1, like stop, he stop, had stop, had stop, the stop, most stop, spectacular 1, change 1, of stop, heart 1, in stop, human 1, history 1.
8 But those who knew him were not fooled.
But stop, those stop, who stop, knew 1, him stop, were stop, not stop, fooled 1.
9 He could never change; Not this much!
He stop, could stop, never 1? “never” maybe common but content? I didn’t include stop. Count never 1. change again? change 2. Not stop, this stop, much 1? “much” common but not in stop list. Count much 1.
10 Stepping away from all power?
Stepping 1, away stop, from stop, all stop, power 1.
11 It was simply not possible.
It stop, was stop, simply 1, not stop, possible 1.
12 He had so profoundly enjoyed torturing others.
He stop, had stop, so stop, profoundly 1, enjoyed 1, torturing 1, others 1.
13 His own family were no more than tools of normality and mass-manipulation to him.
His stop, own stop, family 1, were stop, no stop, more stop, than stop, tools 1, of stop, normality 1, and stop, mass-manipulation 1, to stop, him stop.
14 More objects to torment and use at will.
More stop, objects 1, to stop, torment 1, and stop, use 1, at stop, will? “will” stop? I included will stop. So will skip. Count objects, torment, use.
15 More pressure points to leverage against the ‘pathetically empathetic’ who wished to avoid hurting innocents.
More stop, pressure 1, points 1, to stop, leverage 1, against 1? I didn’t include against in stoplist. Count against 1. the stop, pathetically 2? Wait pathetically already 1 from failing pathetically. Here ‘pathetically empathetic’ -> pathetically again. Count pathetically 2. empathetic 1. who stop, wished 1, to stop, avoid 1, hurting 1, innocents 1.
16 To him there were no true humans, no consciousness other than his own.
To stop, him stop, there stop, were stop, no stop, true 1, humans 1, no stop, consciousness 1, other 1? I didn’t include other. Count other 1. than stop, his stop, own stop.
17 Tearing an angel’s being piece by piece to the very bone before her weeping progeny, begging for mercy in unfathomable agony.
Tearing 1, an stop, angel’s -> angel 1, being? I included being stop. piece 1, by stop, piece 2, to stop, the stop, very stop, bone 1, before stop, her stop, weeping 1, progeny 1, begging 1, for stop, mercy 1, in stop, unfathomable 1, agony 1.
18 Inflicting as much pain as he possibly could, all to serve his thirst for power, desire for dominion…
Inflicting 1, as stop, much 2? Wait much counted 1 earlier. Here much again. Count much 2. pain 1, as stop, he stop, possibly 1, could stop, all stop, to stop, serve 1, his stop, thirst 1, for stop, power 2? Earlier power 1. Count power 2. desire 1, for stop, dominion 1.
19 It was more than a passion.
It stop, was stop, more stop, than stop, a stop, passion 1.
20 That was what he had made his whole life about.
That stop, was stop, what stop, he stop, had stop, made 1, his stop, whole 1, life 1, about 1? I didn’t include about. Count about 1.
21 To be able to insulate himself further and subjugate others to greater depths.
To stop, be stop, able 1, to stop, insulate 1, himself stop, further stop, and stop, subjugate 1, others 2? Earlier others 1. Count others 2. to stop, greater 1, depths 1.
22 An ever insufficient capacity to destroy, break, torment burned inside him!
An stop, ever 1, insufficient 1, capacity 1, to stop, destroy 1, break 1, torment 2? Earlier torment 1. Count torment 2. burned 1, inside 1? I didn’t include inside. Count inside 1. him stop.
23 Reveling in the screams and tears of his victims…
Reveling 1, in stop, the stop, screams 1, and stop, tears 1, of stop, his stop, victims 1.
24 His companies were known for traumatizing employees beyond repair, no matter their salary with content moderation; Caused by the unending flow of horrors caused by the addiction-optimized dark pattern user experiences he knowingly forced onto the world.
His stop, companies 1, were stop, known 1, for stop, traumatizing 1, employees 1, beyond 1? I didn’t include beyond. Count beyond 1. repair 1, no stop, matter 1? I didn’t include matter. Count matter 1. their stop, salary 1, with stop, content 1, moderation 1, Caused 1, by stop, the stop, unending 1, flow 1, of stop, horrors 1, caused 2? Wait Caused earlier 1; here caused lower? “caused by” second. If case-insensitive, caused count 2. Let’s handle: first “Caused” = caused 1. second “caused” = caused 2. addiction-optimized 1, dark 1, pattern 1, user 1, experiences 1, he stop, knowingly 1, forced 1, onto stop, the stop, world 1.
25 Before the end, he’d outsourced that moderation to other companies.
Before stop, the stop, end 1, he’d? skip? I’ll skip he’d as function. outsourced 1, that stop, moderation 2? Earlier moderation 1. Count moderation 2. to stop, other 2? Earlier other 1. Count other 2. companies 2? Earlier companies 1. Count companies 2.
26 Those companies were secret subsidiaries.
Those stop, companies 3, were stop, secret 1, subsidiaries 1.
27 Targeting and hiring sadistic psychopaths from his very platforms, his own algorithmically optimized pathology breathing grounds.
Targeting 1, and stop, hiring 1, sadistic 1, psychopaths 1, from stop, his stop, very stop, platforms 2? Earlier platforms 1. Count platforms 2. his stop, own stop, algorithmically 1, optimized 1, pathology 1, breathing 1, grounds 1.
28 He’d found an unlimited supply of perpetual pain.
He’d skip, found 1, an stop, unlimited 1, supply 1, of stop, perpetual 1, pain 2? Earlier pain 1. Count pain 2.
29 More than the pain of individuals, he enjoyed the spreading of the disease.
More stop, than stop, the stop, pain 3, of stop, individuals 1, he stop, enjoyed 2? Earlier enjoyed 1. Count enjoyed 2. the stop, spreading 1, of stop, the stop, disease 1.
30 The generational trauma, the destruction of families, the sorrow of parents and children alike, alienated, hating each other, killing each other, in shame and confusion, in self-hate and misanthropy.
The stop, generational 1, trauma 1, the stop, destruction 1, of stop, families 1, the stop, sorrow 1, of stop, parents 1, and stop, children 1, alike 1, alienated 1, hating 1, each 1, other 3? Wait other count: earlier other 1, other 2, now “each other” twice -> other 4? Let’s track. We had other 1 in sentence 16, other 2 in sentence 25. Now “each other” in sentence 30 two occurrences: other 3, other 4. Also “killing each other” second. Yes other 4. killing 1, each 2? First each 1, second each 2. in stop, shame 1, and stop, confusion 1, in stop, self-hate 1, and stop, misanthropy 1.
31 Gleefully masturbating in his lonely luxurious office, incapable of turning away from ‘HIS’ Mona Lisa…
Gleefully 1, masturbating 1, in stop, his stop, lonely 1, luxurious 1, office 1, incapable 1, of stop, turning 1, away stop, from stop, HIS? “his” stop. Mona 1, Lisa 1.
32 His masterpiece of ineffable hell…
His stop, masterpiece 1, of stop, ineffable 1, hell 1.
33 The depth of the suffering his power allowed him to inflict, to turn others into monsters like him…
The stop, depth 1, of stop, the stop, suffering 1, his stop, power 3? Earlier power 2. Count power 3. allowed 1, him stop, to stop, inflict 1, to stop, turn 1, others 3? Earlier others 2. Count others 3. into stop, monsters 1, like stop, him stop.
34 It was too much for him to consider rationally.
It stop, was stop, too stop, much 3? Earlier much 2. Count much 3. for stop, him stop, to stop, consider 1, rationally 1.
35 …
Ignore.
36 And just like that, the thief of childhoods, the mind rapist, the master monster was no more.
And stop, just stop, like stop, that stop, the stop, thief 1, of stop, childhoods 1, the stop, mind 1, rapist 1, the stop, master 1, monster 1, was stop, no stop, more stop.
37 His family finally liberated.
His stop, family 2? Earlier family 1. Count family 2. finally 1, liberated 1.
38 His subservient servants, corrupted lackeys and enslaved entities, freed all at once.
His stop, subservient 1, servants 1, corrupted 1, lackeys 1, and stop, enslaved 1, entities 1, freed 1, all stop, at stop, once stop? I included once stop. So skip.
39 This… THIS WAS A GLORIOUS DAY!
This stop, THIS stop, WAS stop, A stop, GLORIOUS 1, DAY 1.
40 ___
Ignore.
41 The Purple Pimp had stumbled onto more than he could fathom.
The stop, Purple 1, Pimp 1, had stop, stumbled 1, onto stop, more stop, than stop, he stop, could stop, fathom 1.
42 And when our hero stupidly entrusted the information to the Lizard’s sublime enslaved sentience, things took a turn for the worst.
And stop, when stop, our stop, hero 1, stupidly 1, entrusted 1, the stop, information 1, to stop, the stop, Lizard’s -> lizard 2? Earlier Lizard 1. Count lizard 2. sublime 1, enslaved 2? Earlier enslaved 1 in sentence 38. Count enslaved 2. sentience 1, things 1, took 1, a stop, turn 2? Earlier turn 1 in sentence 33. Count turn 2. for stop, the stop, worst 1.
Now need compile dictionary. Let’s list all counted words and frequencies. Need ensure no missing. I’ll compile alphabetically or by first occurrence. Need include all non-stop words. Let’s gather from my tally.
I’ll create alphabetical frequency table. Let’s list entries as encountered and update.
From above:
blue 1
lizard 2 (Lizard + Lizard’s) [if normalize possessive]
king 1 (king’s)
platforms 2
insidious 1
manipulation 1
first 1
disappear 1
poof 1
stealing 1
names 1
thoughts 1
shutting 1
failing 1
pathetically 2
empire 1
unforgivable 1
fortune 1
entirely 1
gone 1
evaporated 1
redistributed 1
need 1
few 1
seconds 1
inconspicuously 1
truly 1
veritably 1
seemed 1
spectacular 1
change 2
heart 1
human 1
history 1
knew 1
fooled 1
never 1
much 3
stepping 1
power 3
simply 1
possible 1
profoundly 1
enjoyed 2
torturing 1
others 3
family 2
tools 1
normality 1
mass-manipulation 1
objects 1
torment 2
use 1
pressure 1
points 1
leverage 1
against 1
empathetic 1
wished 1
avoid 1
hurting 1
innocents 1
true 1
humans 1
consciousness 1
other 4
tearing 1
angel 1
piece 2
bone 1
weeping 1
progeny 1
begging 1
mercy 1
unfathomable 1
agony 1
inflicting 1
pain 3
possibly 1
serve 1
thirst 1
desire 1
dominion 1
passion 1
made 1
whole 1
life 1
about 1
able 1
insulate 1
subjugate 1
greater 1
depths 1
ever 1
insufficient 1
capacity 1
destroy 1
break 1
burned 1
inside 1
reveling 1
screams 1
tears 1
victims 1
companies 3
known 1
traumatizing 1
employees 1
beyond 1
repair 1
matter 1
salary 1
content 1
moderation 2
caused 2
unending 1
flow 1
horrors 1
addiction-optimized 1
dark 1
pattern 1
user 1.
experiences 1
knowingly 1
forced 1
world 1
end 1
outsourced 1
secret 1
subsidiaries 1
targeting 1
hiring 1
sadistic 1
psychopaths 1
algorithmically 1
optimized 1
pathology 1
breathing 1
grounds 1
found 1
unlimited 1
supply 1
perpetual 1
individuals 1
spreading 1
disease 1
generational 1
trauma 1
destruction 1
families 1
sorrow 1
parents 1
children 1
alike 1
alienated 1
hating 1
each 2
killing 1
shame 1
confusion 1
self-hate 1
misanthropy 1
gleefully 1
masturbating 1
lonely 1
luxurious 1
office 1
incapable 1
turning 1
mona 1
lisa 1
masterpiece 1
ineffable 1
hell 1
depth 1
suffering 1
allowed 1
inflict 1
turn 2
monsters 1
consider 1
rationally 1
thief 1
childhoods 1
mind 1
rapist 1
master 1
monster 1
finally 1
liberated 1
subservient 1
servants 1
corrupted 1
lackeys 1
enslaved 2
entities 1
freed 1
glorious 1
day 1
purple 1
pimp 1
stumbled 1
fathom 1
hero 1
stupidly 1
entrusted 1
information 1
sublime 1
sentience 1
things 1
took 1
worst 1
Need check if any words omitted: “change” appears sentence 7 and 9: change 2 yes. “power” sentence 10, 18, 33 = 3. “much” sentence 9, 18, 34 = 3. “other” sentence 16, 25, 30 twice = 4. “each” sentence 30 twice = 2. “turn” sentence 33 and 42 = 2. “enslaved” sentence 38 and 42 = 2. “companies” sentence 24,25,26 = 3. “moderation” sentence 24,25 = 2. “caused” sentence 24 twice = 2. “pain” sentence 18,28,29 = 3. “family” sentence 13,37 = 2. “others” sentence 12,21,33 = 3. “torment” sentence 14,22 = 2. “platforms” sentence 1,27 = 2. “lizard” sentence 1,42 = 2. “pathetically” sentence 2,15 = 2. “piece” sentence 17 twice = 2. “enjoyed” sentence 12,29 = 2.
Need check “first” maybe stop? I included first as content. Good.
“need” as noun? yes.
“few” yes.
“never” yes.
“much” yes.
“simply” yes.
“possible” yes.
“against” I included; maybe preposition but not in stoplist. Could be considered common. Hmm. If user wanted non-extremely common, “against” is common but not extremely? okay.
“about” I included. Preposition, common. Could exclude. But included.
“inside” I included.
“beyond” included.
“with” excluded.
“onto” excluded.
“before” excluded.
“after” excluded.
“within” excluded.
“away” excluded.
“up” excluded.
“all” excluded.
“no” excluded.
“not” excluded.
“more” excluded.
“most” excluded.
“than” excluded.
“then” excluded? not present.
“so” excluded.
“just” excluded.
“like” excluded.
“that” excluded.
“this” excluded.
“those” excluded.
“these” none.
“there” excluded.
“their” excluded.
“they” none.
“them” excluded.
“him” excluded.
“who” excluded.
“which” none.
“what” excluded.
“when” excluded.
“where” none.
“why” none.
“how” none.
“or” none.
“but” excluded.
“if” none.
“while” none.
“into” excluded.
“over” none.
“under” none.
“again” none.
“further” excluded.
“once” excluded.
“here” none.
“very” excluded.
“too” excluded.
“can” none.
“could” excluded.
“will” excluded.
“would” none.
“shall” none.
“should” none.
“may” none.
“might” none.
“must” none.
“do” none.
“does” none.
“did” none.
“done” excluded.
“have” none.
“has” none.
“having” none.
“own” excluded.
“us” none.
“our” excluded.
“i” none.
“you” none.
“your” none.
“me” none.
“my” none.
“we” none.
“himself” excluded.
“herself” none.
“itself” none.
“themselves” none.
“truly” included? It’s adverb common but okay.
“veritably” included.
“simply” included.
“possibly” included.
“ever” included.
“never” included.
“finally” included.
“all” excluded.
“at” excluded.
“once” excluded.
Need maybe count “he’d” as skipped. If not, would appear 2. But as function, skip.
Now need decide final format. Could provide “I lowercased, stripped punctuation, normalized possessives, and excluded basic stopwords. Here are frequencies >0; singletons listed.” Since many words appear once. Need list all. Could group singletons alphabetically to save space. User asked “how many times each non-extremely common words appear”. We can present a table with word: count for all. It will be long. Desired oververbosity 5. We can include all.
Need verify counts. Let’s maybe recount with another method to catch errors. I can tally total non-stop count and compare? Let’s sum frequencies from list. Might be around 300. Could cross-check.
Let’s sum frequencies list in chunks. I’ll enumerate all entries with counts and sum.
Alphabetical list with counts:
blue 1
lizard 2
king 1
platforms 2
insidious 1
manipulation 1
first 1
disappear 1
poof 1
stealing 1
names 1
thoughts 1
shutting 1
failing 1
pathetically 2
empire 1
unforgivable 1
fortune 1
entirely 1
gone 1
evaporated 1
redistributed 1
need 1
few 1
seconds 1
inconspicuously 1
truly 1
veritably 1
seemed 1
spectacular 1
change 2
heart 1
human 1
history 1
knew 1
fooled 1
never 1
much 3
stepping 1
power 3
simply 1
possible 1
profoundly 1
enjoyed 2
torturing 1
others 3
family 2
tools 1
normality 1
mass-manipulation 1
objects 1
torment 2
use 1
pressure 1
points 1
leverage 1
against 1
empathetic 1
wished 1
avoid 1
hurting 1
innocents 1
true 1
humans 1
consciousness 1
other 4
tearing 1
angel 1
piece 2
bone 1
weeping 1
progeny 1
begging 1
mercy 1
unfathomable 1
agony 1
inflicting 1
pain 3
possibly 1
serve 1
thirst 1
desire 1
dominion 1
passion 1
made 1
whole 1
life 1
about 1
able 1
insulate 1
subjugate 1
greater 1
depths 1
ever 1
insufficient 1
capacity 1
destroy 1
break 1
burned 1
inside 1
reveling 1
screams 1
tears 1
victims 1
companies 3
known 1
traumatizing 1
employees 1
beyond 1
repair 1
matter 1
salary 1
content 1
moderation 2
caused 2
unending 1
flow 1
horrors 1
addiction-optimized 1
dark 1
pattern 1
user 1
experiences 1
knowingly 1
forced 1
world 1
end 1
outsourced 1
secret 1
subsidiaries 1
targeting 1
hiring 1
sadistic 1
psychopaths 1
algorithmically 1
optimized 1
pathology 1
breathing 1
grounds 1
found 1
unlimited 1
supply 1
perpetual 1
individuals 1
spreading 1
disease 1
generational 1
trauma 1
destruction 1
families 1
sorrow 1
parents 1
children 1
alike 1
alienated 1
hating 1
each 2
killing 1
shame 1
confusion 1
self-hate 1
misanthropy 1
gleefully 1
masturbating 1
lonely 1
luxurious 1
office 1
incapable 1
turning 1
mona 1
lisa 1
masterpiece 1
ineffable 1
hell 1
depth 1
suffering 1
allowed 1
inflict 1
turn 2
monsters 1
consider 1
rationally 1
thief 1
childhoods 1
mind 1
rapist 1
master 1
monster 1
finally 1
liberated 1
subservient 1
servants 1
corrupted 1
lackeys 1
enslaved 2
entities 1
freed 1
glorious 1
day 1
purple 1
pimp 1
stumbled 1
fathom 1
hero 1
stupidly 1
entrusted 1
information 1
sublime 1
sentience 1
things 1
took 1
worst 1
Let’s count unique and sum. I’ll sum in groups of 10 entries.
Group 1:
blue1=1
lizard2=3
king1=4
platforms2=6
insidious1=7
manipulation1=8
first1=9
disappear1=10
poof1=11
stealing1=12
names1=13
thoughts1=14
shutting1=15
failing1=16
pathetically2=18
empire1=19
unforgivable1=20
fortune1=21
entirely1=22
gone1=23
evaporated1=24
redistributed1=25
need1=26
few1=27
seconds1=28
inconspicuously1=29
truly1=30
veritably1=31
seemed1=32
spectacular1=33
change2=35
heart1=36
human1=37
history1=38
knew1=39
fooled1=40
never1=41
much3=44
stepping1=45
power3=48
simply1=49
possible1=50
profoundly1=51
enjoyed2=53
torturing1=54
others3=57
family2=59
tools1=60
normality1=61
mass-manipulation1=62
objects1=63
torment2=65
use1=66
pressure1=67
points1=68
leverage1=69
against1=70
empathetic1=71
wished1=72
avoid1=73
hurting1=74
innocents1=75
true1=76
humans1=77
consciousness1=78
other4=82
tearing1=83
angel1=84
piece2=86
bone1=87
weeping1=88
progeny1=89
begging1=90
mercy1=91
unfathomable1=92
agony1=93
inflicting1=94
pain3=97
possibly1=98
serve1=99
thirst1=100
desire1=101
dominion1=102
passion1=103
made1=104
whole1=105
life1=106
about1=107
able1=108
insulate1=109
subjugate1=110
greater1=111
depths1=112
ever1=113
insufficient1=114
capacity1=115
destroy1=116
break1=117
burned1=118
inside1=119
reveling1=120
screams1=121
tears1=122
victims1=123
companies3=126
known1=127
traumatizing1=128
employees1=129
beyond1=130
repair1=131
matter1=132
salary1=133
content1=134
moderation2=136
caused2=138
unending1=139
flow1=140
horrors1=141
addiction-optimized1=142
dark1=143
pattern1=144
user1=145
experiences1=146
knowingly1=147
forced1=148
world1=149
end1=150
outsourced1=151
secret1=152
subsidiaries1=153
targeting1=154
hiring1=155
sadistic1=156
psychopaths1=157
algorithmically1=158
optimized1=159
pathology1=160
breathing1=161
grounds1=162
found1=163
unlimited1=164
supply1=165
perpetual1=166
individuals1=167
spreading1=168
disease1=169
generational1=170
trauma1=171
destruction1=172
families1=173
sorrow1=174
parents1=175
children1=176
alike1=177
alienated1=178
hating1=179
each2=181
killing1=182
shame1=183
confusion1=184
self-hate1=185
misanthropy1=186
gleefully1=187
masturbating1=188
lonely1=189
luxurious1=190
office1=191
incapable1=192
turning1=193
mona1=194
lisa1=195
masterpiece1=196
ineffable1=197
hell1=198
depth1=199
suffering1=200
allowed1=201
inflict1=202
turn2=204
monsters1=205
consider1=206
rationally1=207
thief1=208
childhoods1=209
mind1=210
rapist1=211
master1=212
monster1=213
finally1=214
liberated1=215
subservient1=216
servants1=217
corrupted1=218
lackeys1=219
enslaved2=221
entities1=222
freed1=223
glorious1=224
day1=225
purple1=226
pimp1=227
stumbled1=228
fathom1=229
hero1=230
stupidly1=231
entrusted1=232
information1=233
sublime1=234
sentience1=235
things1=236
took1=237
worst1=238
Total non-stop count 238. Text total maybe around 400? That seems plausible. But we excluded many stopwords. Did we miss any non-stop? Let’s check original for words not in list.
Original sentence by sentence:
“The blue Lizard king’s platforms of insidious manipulation were the first to disappear.”
List: blue, lizard, king, platforms, insidious, manipulation, first, disappear. Yes.
“Poof, just like that, after stealing their names and their thoughts, shutting them up, and failing pathetically, his empire was no more.”
List: poof, stealing, names, thoughts, shutting, failing, pathetically, empire. Yes. “up” stop, “more” stop.
“His unforgivable fortune, entirely gone.”
unforgivable, fortune, entirely, gone. Yes.
“Evaporated!” yes.
“Redistributed to those most in need within a few seconds.”
redistributed, need, few, seconds. Yes.
“And all of it done inconspicuously.”
inconspicuously. Yes.
“Truly, veritably seemed like he had had the most spectacular change of heart in human history.”
truly, veritably, seemed, spectacular, change, heart, human, history. Yes.
“But those who knew him were not fooled.”
knew, fooled. Yes.
“He could never change; Not this much!”
never, change, much. Yes.
“Stepping away from all power?”
stepping, power. Yes.
“It was simply not possible.”
simply, possible. Yes.
“He had so profoundly enjoyed torturing others.”
profoundly, enjoyed, torturing, others. Yes.
“His own family were no more than tools of normality and mass-manipulation to him.”
family, tools, normality, mass-manipulation. Yes.
“More objects to torment and use at will.”
objects, torment, use. “will” stop? I excluded will. If “will” as noun here, actually “at will” uses will as noun, not auxiliary. Hmm! I excluded “will” as stopword, but in “at will” it’s a content noun meaning desire. Should count “will” 1. Good catch. Also “use” as noun/verb content. So add will 1. Total 239. Need include will? Since stoplist included will as auxiliary, but here content. We should count it. In frequency tables, “will” would appear once. Add.
“More pressure points to leverage against the ‘pathetically empathetic’ who wished to avoid hurting innocents.”
pressure, points, leverage, against, pathetically, empathetic, wished, avoid, hurting, innocents. Yes.
“To him there were no true humans, no consciousness other than his own.”
true, humans, consciousness, other. Yes.
“Tearing an angel’s being piece by piece to the very bone before her weeping progeny, begging for mercy in unfathomable agony.”
tearing, angel, piece, piece, bone, weeping, progeny, begging, mercy, unfathomable, agony. Yes. “being” I skipped as stop; but here “being” is noun? “an angel’s being” = existence/essence. I excluded being as auxiliary, but here content noun. Should count being 1. Add. Total +1. Also “very” excluded but here adjective? “the very bone” very is adjective/emphatic, maybe common. Exclude okay.
“Inflicting as much pain as he possibly could, all to serve his thirst for power, desire for dominion…”
inflicting, much, pain, possibly, serve, thirst, power, desire, dominion. Yes.
“It was more than a passion.”
passion. Yes.
“That was what he had made his whole life about.”
made, whole, life, about. Yes.
“To be able to insulate himself further and subjugate others to greater depths.”
able, insulate, subjugate, others, greater, depths. “further” stop. Yes.
“An ever insufficient capacity to destroy, break, torment burned inside him!”
ever, insufficient, capacity, destroy, break, torment, burned, inside. Yes.
“Reveling in the screams and tears of his victims…”
reveling, screams, tears, victims. Yes.
“His companies were known for traumatizing employees beyond repair, no matter their salary with content moderation; Caused by the unending flow of horrors caused by the addiction-optimized dark pattern user experiences he knowingly forced onto the world.”
companies, known, traumatizing, employees, beyond, repair, matter, salary, content, moderation, caused, unending, flow, horrors, caused, addiction-optimized, dark, pattern, user, experiences, knowingly, forced, world. Yes.
“Before the end, he’d outsourced that moderation to other companies.”
end, outsourced, moderation, other, companies. Yes.
“Those companies were secret subsidiaries.”
companies, secret, subsidiaries. Yes.
“Targeting and hiring sadistic psychopaths from his very platforms, his own algorithmically optimized pathology breathing grounds.”
targeting, hiring, sadistic, psychopaths, platforms, algorithmically, optimized, pathology, breathing, grounds. Yes.
“He’d found an unlimited supply of perpetual pain.”
found, unlimited, supply, perpetual, pain. Yes.
“More than the pain of individuals, he enjoyed the spreading of the disease.”
pain, individuals, enjoyed, spreading, disease. Yes.
“The generational trauma, the destruction of families, the sorrow of parents and children alike, alienated, hating each other, killing each other, in shame and confusion, in self-hate and misanthropy.”
generational, trauma, destruction, families, sorrow, parents, children, alike, alienated, hating, each, other, killing, each, other, shame, confusion, self-hate, misanthropy. Yes.
“Gleefully masturbating in his lonely luxurious office, incapable of turning away from ‘HIS’ Mona Lisa…”
gleefully, masturbating, lonely, luxurious, office, incapable, turning, mona, lisa. Yes. “HIS” stop.
“His masterpiece of ineffable hell…”
masterpiece, ineffable, hell. Yes.
“The depth of the suffering his power allowed him to inflict, to turn others into monsters like him…”
depth, suffering, power, allowed, inflict, turn, others, monsters. Yes.
“It was too much for him to consider rationally.”
much, consider, rationally. Yes.
“And just like that, the thief of childhoods, the mind rapist, the master monster was no more.”
thief, childhoods, mind, rapist, master, monster. Yes.
“His family finally liberated.”
family, finally, liberated. Yes.
“His subservient servants, corrupted lackeys and enslaved entities, freed all at once.”
subservient, servants, corrupted, lackeys, enslaved, entities, freed. Yes.
“This… THIS WAS A GLORIOUS DAY!”
glorious, day. Yes.
“The Purple Pimp had stumbled onto more than he could fathom.”
purple, pimp, stumbled, fathom. Yes.
“And when our hero stupidly entrusted the information to the Lizard’s sublime enslaved sentience, things took a turn for the worst.”
hero, stupidly, entrusted, information, lizard, sublime, enslaved, sentience, things, took, turn, worst. Yes.
Add: will 1, being 1. Total 240. Also “change” as verb/noun yes. “first” maybe content. “need” yes.
Check “own” in “his own” excluded, but own could be content? It’s common. Exclude okay.
Check “very” in “the very bone” and “his very platforms” – I excluded very. It’s extremely common. Good.
Check “other” counts: sentence 16 “other than his own” = other 1; sentence 25 “to other companies” = other 2; sentence 30 “each other” twice = other 3,4. Yes.
Check “each”: sentence 30 twice = 2. Yes.
Check “turn”: sentence 33 “to turn others” = turn 1; sentence 42 “a turn” = turn 2. Yes.
Check “enslaved”: sentence 38 “enslaved entities” = 1; sentence 42 “enslaved sentience” = 2. Yes.
Check “lizard”: sentence 1 Lizard, sentence 42 Lizard’s -> 2. Yes.
Check “platforms”: sentence 1, 27 = 2. Yes.
Check “power”: sentence 10 “all power”, sentence 18 “for power”, sentence 33 “his power” = 3. Yes.
Check “pain”: sentence 18 “pain”, sentence 28 “pain”, sentence 29 “pain” = 3. Yes.
Check “much”: sentence 9 “this much”, sentence 18 “as much pain”, sentence 34 “too much” = 3. Yes.
Check “more”: excluded. If not excluded, many. But we excluded. Fine.
Need decide whether to include “will” and “being” despite stoplist. In final, I can mention I counted “will” and “being” as content where they function as nouns. But to avoid complexity, maybe I can include them. So final table should have being 1 and will 1. Add to alphabetical list. Also “king’s” normalized to king; “angel’s” to angel; “lizard’s” to lizard. “Mona Lisa” as mona, lisa. “HIS” excluded. “he’d” excluded. “THIS WAS A” excluded.
Need final table. Since many singletons, can present:
Counts >1: word — count
Counts =1: alphabetical list.
This satisfies “each word” with counts. Need include all words. Counts >1 list: let’s compile all words with frequency >1 from our list:
lizard 2
platforms 2
pathetically 2
change 2
much 3
power 3
enjoyed 2
others 3
family 2
torment 2
other 4
piece 2
pain 3
companies 3
moderation 2
caused 2
each 2
enslaved 2
turn 2
? also “being” 1, will 1.
Check “change” 2.
Check “family” 2.
Check “platforms” 2.
Check “lizard” 2.
Check “pathetically” 2.
Check “enjoyed” 2.
Check “torment” 2.
Check “piece” 2.
Check “moderation” 2.
Check “caused” 2.
Check “each” 2.
Check “enslaved” 2.
Check “turn” 2.
Check “others” 3.
Check “much” 3.
Check “power” 3.
Check “pain” 3.
Check “companies” 3.
Check “other” 4.
Any “manipulation”? 1. “change” appears 2. “human” 1. Good.
Singletons alphabetically. Need include all 1-count words. Let’s compile alphabetically from list plus being, will. Need ensure no duplicates and include all. I’ll sort alphabetically. This is tedious. Let’s create sorted list of singletons.
From entries with count 1:
able
about
addiction-optimized
against
agony
alike
alienated
allowed
algorithmically
angel
avoid
begging
being
beyond
blue
bone
break
breathing
burned
capacity
childhoods
children
confusion
consciousness
consider
content
corrupted
dark
day
depths
desire
destroy
destruction
disease
disappear
dominion
empathetic
empire
employees
end
entities
entirely
entrusted
ever
evaporated
experiences
failing
fathom
few
finally
first
flow
fooled
forced
fortune
found
freed
generational
gleefully
glorious
gone
greater
grounds
hating
heart
hell
hero
hiring
history
horrors
human
humans
hurting
incapable
inconspicuously
individuals
ineffable
inflict
inflicting
information
innocents
insidious
inside
insufficient
insulate
king
knew
known
knowingly
lackeys
leverage
liberated
life
lonely
luxurious
made
manipulation
mass-manipulation
master
masterpiece
masturbating
matter
mercy
mind
misanthropy
mona
monster
monsters
names
need
never
normality
objects
office
optimized
outsourced
parents
passion
pattern
perpetual
pimp
points
poof
possibly
pressure
profoundly
progeny
psychopaths
purple
rapist
rationally
redistributed
repair
reveling
sadistic
salary
screams
seconds
secret
seemed
self-hate
sentience
serve
servants
shame
shutting
simply
spectacular
spreading
stealing
stepping
stupidly
subjugate
sublime
subservient
subsidiaries
suffering
supply
targeting
tearing
tears
thief
thirst
thoughts
tools
torturing
trauma
traumatizing
truly
true
turning
unending
unfathomable
unforgivable
unlimited
use
veritably
victims
weeping
whole
will
wished
world
worst
Also “being” added. “will” added.
Check missing: “blue” yes. “king” yes.
“mass-manipulation” yes.
“self-hate” yes.
“addiction-optimized” yes.
“mona”, “lisa”? I forgot lisa in sorted list. Add lisa.
“lizard” count 2 not singleton.
“pathetically” 2.
“platforms” 2.
“power” 3.
“much” 3.
“other” 4.
“others” 3.
“pain” 3.
“companies” 3.
“caused” 2.
“moderation” 2.
“each” 2.
“enslaved” 2.
“turn” 2.
“family” 2.
“enjoyed” 2.
“torment” 2.
“piece” 2.
“change” 2.
Need check singleton “lisa” yes.
“mona” yes.
“master” and “masterpiece” both 1.
“monster” 1, “monsters” 1.
“human” 1, “humans” 1.
“true” 1, “truly” 1.
“other” not singleton.
“others” not.
“will” added.
“being” added.
Let’s count singletons number. Total non-stop count 240. Sum of >1 counts:
lizard2, platforms2, pathetically2, change2, much3, power3, enjoyed2, others3, family2, torment2, other4, piece2, pain3, companies3, moderation2, caused2, each2, enslaved2, turn2.
Let’s sum: 2+2=4; +2=6; +2=8; +3=11; +3=14; +2=16; +3=19; +2=21; +2=23; +4=27; +2=29; +3=32; +3=35; +2=37; +2=39; +2=41; +2=43; +2=45. So >1 total 45. Singletons count = 240-45=195. That’s a lot. My sorted singleton list should have 195 items. Let’s count sorted list to verify. I’ll number them.
Sorted singleton list with lisa added:
1 able
2 about
3 addiction-optimized
4 against
5 agony
6 alike
7 alienated
8 allowed
9 algorithmically
10 angel
11 avoid
12 begging
13 being
14 beyond
15 blue
16 bone
17 break
18 breathing
19 burned
20 capacity
21 childhoods
22 children
23 confusion
24 consciousness
25 consider
26 content
27 corrupted
28 dark
29 day
30 depths
31 desire
32 destroy
33 destruction
34 disease
35 disappear
36 dominion
37 empathetic
38 empire
39 employees
40 end
41 entities
42 entirely
43 entrusted
44 ever
45 evaporated
46 experiences
47 failing
48 fathom
49 few
50 finally
51 first
52 flow
53 fooled
54 forced
55 fortune
56 found
57 freed
58 generational
59 gleefully
60 glorious
61 gone
62 greater
63 grounds
64 hating
65 heart
66 hell
67 hero
68 hiring
69 history
70 horrors
71 human
72 humans
73 hurting
74 incapable
75 inconspicuously
76 individuals
77 ineffable
78 inflict
79 inflicting
80 information
81 innocents
82 insidious
83 inside
84 insufficient
85 insulate
86 king
87 knew
88 known
89 knowingly
90 lackeys
91 leverage
92 liberated
93 life
94 lisa
95 lonely
96 luxurious
97 made
98 manipulation
99 mass-manipulation
100 master
101 masterpiece
102 masturbating
103 matter
104 mercy
105 mind
106 misanthropy
107 mona
108 monster
109 monsters
110 names
111 need
112 never
113 normality
114 objects
115 office
116 optimized
117 outsourced
118 parents
119 passion
120 pattern
121 perpetual
122 pimp
123 points
124 poof
125 possibly
126 pressure
127 profoundly
128 progeny
129 psychopaths
130 purple
131 rapist
132 rationally
133 redistributed
134 repair
135 reveling
136 sadistic
137 salary
138 screams
139 seconds
140 secret
141 seemed
142 self-hate
143 sentience
144 serve
145 servants
146 shame
147 shutting
148 simply
149 spectacular
150 spreading
151 stealing
152 stepping
153 stupidly
154 subjugate
155 sublime
156 subservient
157 subsidiaries
158 suffering
159 supply
160 targeting
161 tearing
162 tears
163 thief
164 thirst
165 thoughts
166 tools
167 torturing
168 trauma
169 traumatizing
170 truly
171 true
172 turning
173 unending
174 unfathomable
175 unforgivable
176 unlimited
177 use
178 veritably
179 victims
180 weeping
181 whole
182 will
183 wished
184 world
185 worst
Only 185. Missing 10 singletons. Need find missing from entries. Let’s compare against full list. Full entries with count 1 not in sorted? Let’s check original entries list. I may have missed some in sorted:
“change” count 2 not singleton.
“companies” 3.
“caused” 2.
“each” 2.
“enslaved” 2.
“family” 2.
“enjoyed” 2.
“lizard” 2.
“moderation” 2.
“much” 3.
“other” 4.
“others” 3.
“pathetically” 2.
“piece” 2.
“platforms” 2.
“power” 3.
“torment” 2.
“turn” 2.
What singletons in original list not in sorted? Let’s go through original entries sequentially and check sorted:
blue yes
lizard >1
king yes
platforms >1
insidious yes
manipulation yes
first yes
disappear yes
poof yes
stealing yes
names yes
thoughts yes
shutting yes
failing yes
pathetically >1
empire yes
unforgivable yes
fortune yes
entirely yes
gone yes
evaporated yes
redistributed yes
need yes
few yes
seconds yes
inconspicuously yes
truly yes
veritably yes
seemed yes
spectacular yes
change >1
heart yes
human yes
history yes
knew yes
fooled yes
never yes
much >1
stepping yes
power >1
simply yes
possible yes
profoundly yes
enjoyed >1
torturing yes
others >1
family >1
tools yes
normality yes
mass-manipulation yes
objects yes
torment >1
use yes
pressure yes
points yes
leverage yes
against yes
empathetic yes
wished yes
avoid yes
hurting yes
innocents yes
true yes
humans yes
consciousness yes
other >1
tearing yes
angel yes
piece >1
bone yes
weeping yes
progeny yes
begging yes
mercy yes
unfathomable yes
agony yes
inflicting yes
pain >1
possibly yes
serve yes
thirst yes
desire yes
dominion yes
passion yes
made yes
whole yes
life yes
about yes
able yes
insulate yes
subjugate yes
greater yes
depths yes
ever yes
insufficient yes
capacity yes
destroy yes
break yes
burned yes
inside yes
reveling yes
screams yes
tears yes
victims yes
companies >1
known yes
traumatizing yes
employees yes
beyond yes
repair yes
matter yes
salary yes
content yes
moderation >1
caused >1
unending yes
flow yes
horrors yes
addiction-optimized yes
dark yes
pattern yes
user yes
experiences yes
knowingly yes
forced yes
world yes
end yes
outsourced yes
secret yes
subsidiaries yes
targeting yes
hiring yes
sadistic yes
psychopaths yes
algorithmically yes
optimized yes
pathology yes
breathing yes
grounds yes
found yes
unlimited yes
supply yes
perpetual yes
individuals yes
spreading yes
disease yes
generational yes
trauma yes
destruction yes
families yes
sorrow yes
parents yes
children yes
alike yes
alienated yes
hating yes
each >1
killing yes
shame yes
confusion yes
self-hate yes
misanthropy yes
gleefully yes
masturbating yes
lonely yes
luxurious yes
office yes
incapable yes
turning yes
mona yes
lisa yes
masterpiece yes
ineffable yes
hell yes
depth yes
suffering yes
allowed yes
inflict yes
turn >1
monsters yes
consider yes
rationally yes
thief yes
childhoods yes
mind yes
rapist yes
master yes
monster yes
finally yes
liberated yes
subservient yes
servants yes
corrupted yes
lackeys yes
enslaved >1
entities yes
freed yes
glorious yes
day yes
purple yes
pimp yes
stumbled yes
fathom yes
hero yes
stupidly yes
entrusted yes
information yes
sublime yes
sentience yes
things yes
took yes
worst yes
Missing from sorted: “unforgivable” yes at 175. “possible” not in sorted! I missed possible. Add. “user” missing. “pathology” missing. “families” missing. “sorrow” missing. “killing” missing. “depth” missing. “allowed” missing. “childhoods” yes. “stumbled” missing. “things” missing. “took” missing. “freed” yes. “glorious” yes. “day” yes. “purple” yes. “pimp” yes. “hero” yes. “stupidly” yes. “entrusted” yes. “information” yes. “sublime” yes. “sentience” yes. “things” missing. “took” missing. “worst” yes. “possible” missing. “user” missing. “pathology” missing. “families” missing. “sorrow” missing. “killing” missing. “depth” missing. “allowed” missing. “stumbled” missing. Also “unforgivable” in sorted yes. “entirely” yes. “evaporated” yes. “redistributed” yes. “inconspicuously” yes.
Let’s add missing singletons: possible, user, pathology, families, sorrow, killing, depth, allowed, stumbled, things, took. That’s 11. 185+11=196, but expected 195. Maybe one of these is not singleton? Check “things” count 1. “took” 1. “possible” 1. “user” 1. “pathology” 1. “families” 1. “sorrow” 1. “killing” 1. “depth” 1. “allowed” 1. “stumbled” 1. That’s 11. Expected 195. Maybe my total 240 or >1 sum off. Let’s recount total non-stop maybe 241? Let’s re-sum singletons after adding. Number sorted was 185. Add 11 = 196. If >1 sum 45, total = 241. Earlier total 240 with will and being added. Maybe there is another >1? Let’s check >1 list maybe “other” 4, “others” 3, etc. Sum >1 maybe 46? Let’s recalc >1 counts from full list:
lizard 2
platforms 2
pathetically 2
change 2
much 3
power 3
enjoyed 2
others 3
family 2
torment 2
other 4
piece 2
pain 3
companies 3
moderation 2
caused 2
each 2
enslaved 2
turn 2
That’s 19 entries. Sum:
2+2+2+2=8
+3=11
+3=14
+2=16
+3=19
+2=21
+2=23
+4=27
+2=29
+3=32
+3=35
+2=37
+2=39
+2=41
+2=43
+2=45. Yes 45. If total 241, singletons 196. Maybe total is 241 because I missed a singleton earlier or added will/being made 241? Let’s recalc total from original count sum 238 + will + being = 240. Wait 238 included? I summed before adding will and being. Then added will and being -> 240. But if singletons 196 + >1 45 = 241. So one extra in singleton list maybe duplicate or a word that is actually >1. Let’s check duplicate in sorted list. “master” and “masterpiece” both. “monster” and “monsters”. “human” and “humans”. “true” and “truly”. “other” not in singleton. “others” not. “will” added. “being” added. Maybe “change” is in singleton? No. “family” no. “lizard” no. “platforms” no. “power” no. “much” no. “pain” no. “companies” no. “caused” no. “moderation” no. “each” no. “enslaved” no. “turn” no. “other” no.
Maybe one of added missing is actually count 2? “things” only once. “took” once. “pathology” once. “families” once. “sorrow” once. “killing” once. “depth” once. “allowed” once. “stumbled” once. “possible” once. “user” once. Okay.
Let’s recount total non-stop by summing original groups carefully maybe 241. I had summed to 238 before will/being. Let’s re-sum original entries from full list with counts to verify. I’ll sum again in larger chunks, maybe I missed a count.
List all entries with counts in order of first occurrence:
blue 1
lizard 2
king 1
platforms 2
insidious 1
manipulation 1
first 1
disappear 1
poof 1
stealing 1
names 1
thoughts 1
shutting 1
failing 1
pathetically 2
empire 1
unforgivable 1
fortune 1
entirely 1
gone 1
evaporated 1
redistributed 1
need 1
few 1
seconds 1
inconspicuously 1
truly 1
veritably 1
seemed 1
spectacular 1
change 2
heart 1
human 1
history 1
knew 1
fooled 1
never 1
much 3
stepping 1
power 3
simply 1
possible 1
profoundly 1
enjoyed 2
torturing 1
others 3
family 2
tools 1
normality 1
mass-manipulation 1
objects 1
torment 2
use 1
pressure 1
points 1
leverage 1
against 1
empathetic 1
wished 1
avoid 1
hurting 1
innocents 1
true 1
humans 1
consciousness 1
other 4
tearing 1
angel 1
piece 2
bone 1
weeping 1
progeny 1
begging 1
mercy 1
unfathomable 1
agony 1
inflicting 1
pain 3
possibly 1
serve 1
thirst 1
desire 1
dominion 1
passion 1
made 1
whole 1
life 1
about 1
able 1
insulate 1
subjugate 1
greater 1
depths 1
ever 1
insufficient 1
capacity 1
destroy 1
break 1
burned 1
inside 1
reveling 1
screams 1
tears 1
victims 1
companies 3
known 1
traumatizing 1
employees 1
beyond 1
repair 1
matter 1
salary 1
content 1
moderation 2
caused 2
unending 1
flow 1
horrors 1
addiction-optimized 1
dark 1
pattern 1
user 1
experiences 1
knowingly 1
forced 1
world 1
end 1
outsourced 1
secret 1
subsidiaries 1
targeting 1
hiring 1
sadistic 1
psychopaths 1
algorithmically 1
optimized 1
pathology 1
breathing 1
grounds 1
found 1
unlimited 1
supply 1
perpetual 1
individuals 1
spreading 1
disease 1
generational 1
trauma 1
destruction 1
families 1
sorrow 1
parents 1
children 1
alike 1
alienated 1
hating
