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Guide to 6 Battlecast - Breaking out of the Big 3

Hi all,
It's no secret that the meta is rather stale with most people going for Vayne, Jinx, and Riven comps. In almost every game I play, I don't have a lot of success playing meta and usually prefer to find weird anti-meta/off-meta picks. I got really tired of playing one of the big three so started playing Mech to limited success. Then I started 6 Battlecast and climbed from ~70 LP Masters to now 320 LP (though I played other comps too in this climb). Here are my Battlecast stats below from about 11 games played.
https://imgur.com/a/nMYgpBt
https://lolchess.gg/profile/na/sakuchan39
Match History
This is my first guide written so let me know if there is anything I can improve on.
Why play 6 Battlecast
I think its a decently strong comp for climbing purposes only. As you can see, I have a really high top rate but really low win rate with this comp. To be honest, it is a bit player diff since this set I have had a low win rate in general. I think the comp is rather fun to play to see all of the battlecast procs, and is also easy due to how straightforward 6 trait comps are in general.
Pros
Cons
Early Game
The general indicators to play 6 battlecast are early upgrades to Illaoi, Nocturne, and components for Kogmaw. Kogmaw absolute core item is Red Buff and needs one of Shiv or Runaan's Hurricane. I prio Bow on first carousel because it can be either RH or Shiv, but I've seen ideas of Vest prio for Red Buff. If you get good items, but no upgrades, it may be worth it to lose streak early for carousel priority, and to stay lower level to complete Illaoi and Nocturne upgrades. Here are some early game boards.
Early Kog
Infil Open
In Early Kog opener, Lucian is replaceable to hold Kog items, or if early Ezreal then Graves can hold Kog items. Blitz can replace Malphite. Play what makes sense in the context of your game.
Mid Game
The biggest spike is at level 6 and getting 4 battlecast, 2 chrono, 2 blaster with one core item on Kogmaw. Until you get there, just play whatever you have that is strongest. Again, the purpose of this comp is to win streak. As soon as I can put in 4 battlecast, I level to 6. I avoid aggressively leveling to 7 as I like to stay at 6 for increased chances of upgrading Kogmaw. Stage 4-1 is always a level 7 and then roll an appropriate amount of gold to maintain econ while upgrading your board. Since this board is pretty self-explanatory, look to snipe carries with Blitz/Noc to cheese out wins. If you can't hit these units, or have bad items at this stage, look to pivot out. I pivot to Bang Bros (shares Runaans as core item), Jinx (if high roll early Jinx), or even once Mech (had really bad items). In the mid-game, you should also look to start building Urgot items (GA and mana items) as well has hopefully completing an Ionic Spark for Illaoi. GA is really good on Urgot to trade 1 for 1 in the endgame (saving health) as well as stalling for tie breakers.
Mid-game Board
End-game
Ideally, by the time it is time to level to 8 (between stage 4-3 to 5-1), you'll have generated a 50 health lead over the 7th and 8th place people. Now, the goal is to complete the trait with Viktor and Urgot to try and survive to 9. Until you hit these units, splashing traits like Mystic (Karma/Soraka/Lulu) or Infil (Fizz/Ekko) or front line (Gnar) are great to help you survive and can hold Urgot items. Similar to mid-game, you are looking to cheese out wins with Blitz/Infil/Urgot. Urgot targets the furthest unit in his range which is 3 hexes. Once you have hit 6 Battlecast, look to go 9 to add in Mystic/Asol/Ekko/any other broken unit. Battlecast matches up really bad against Sorcs so Mystic is usually my go to since it helps against Mech and Jinx.
End-game Board
Other Notes
I haven't played that many games with Battlecast, but the results have been very positive so far. Hopefully, this will increase the flavor of your games in the last few days of this flavorless meta. Let me know if there's anything I can improve in my guide; I realize I don't go over general Econ strategies or flex options. I think there's lots of good information in high-elo streamers on economy vs aggressive leveling. I find my playstyle to try and balance both but leaning more towards econ is king. I'll answer as many questions as I can below.
submitted by EverythingOP to CompetitiveTFT [link] [comments]

Using Deep Learning to Predict Earnings Outcomes

Using Deep Learning to Predict Earnings Outcomes
(Note: if you were following my earlier posts, I wrote a note at the end of this post explaining why I deleted old posts and what changed)
Edit: Can't reply to comments since my account is still flagged as new :\. Thank you everyone for your comments. Edit: Made another post answering questions here.
  • Test data is untouched during training 10:1:1 train:val:test.
  • Yes, I consider it "deep" learning from what I learned at my institution. I use LSTMs at one point in my pipeline, feel free to consider that deep or not.
  • I'll be making daily posts so that people can follow along.
  • Someone mentioned RL, yes I plan on trying that in the future :). This would require a really clever way to encode the current state parameters. Haven't thought about it too much yet.
  • Someone mentioned how companies beat earnings 61% anyway, so my model must be useless right? Well if you look at the confusion matrix you can see I balanced classes before training (with some noise). This means that the data had roughly 50/50 beat/miss and had a 58% test accuracy.
TLDR:
Not financial advice.
  • I created a deep learning algorithm trained on 2015-2019 data to predict whether a company will beat earning estimates.
  • Algorithm has an accuracy of 58%.
  • I need data and suggestions.
  • I’ll be making daily posts for upcoming earnings.
Greetings everyone,
I’m Bunga, an engineering PhD student at well known university. Like many of you, I developed an interest in trading because of the coronavirus. I lost a lot of money by being greedy and uninformed about how to actually trade options. With all the free time I have with my research slowing down because of the virus, I’ve decided to use what I’m good at (being a nerd, data analytics, and machine learning) to help me make trades.
One thing that stuck out to me was how people make bets on earnings reports. As a practitioner of machine learning, we LOVE binary events since the problem can be reduced to a simple binary classification problem. With that being said, I sought out to develop a machine learning algorithm to predict whether a company will beat earnings estimates.
I strongly suggest TO NOT USE THIS AS FINANCIAL ADVICE. Please, I could just be a random guy on the internet making things up, and I could have bugs in my code. Just follow along for some fun and don’t make any trades based off of this information 😊
Things other people have tried:
A few other projects have tried to do this to some extent [1,2,3], but some are not directly predicting the outcome of the earnings report or have a very small sample size of a few companies.
The data
This has been the most challenging part of the project. I’m using data for 4,000 common stocks.
Open, high, low, close, volume stock data is often free and easy to come by. I use stock data during the quarter (Jan 1 – Mar 31 stock data for Q1 for example) in a time series classifier. I also incorporate “background” data from several ETFs to give the algorithm a feel for how the market is doing overall (hopefully this accounts for bull/bear markets when making predictions).
I use sentiment analyses extracted from 10K/10Q documents from the previous quarter as described in [4]. This gets passed to a multilayer perceptron neural network.
Data that I’ve tried and doesn’t work to well:
Scraping 10K/10Q manually for US GAAP fields like Assets, Cash, StockholdersEquity, etc. Either I’m not very good at processing the data or most of the tables are incomplete, this doesn’t work well. However, I recently came across this amazing API [5] which will ameliorate most of these problems, and I plan on incorporating this data sometime this week.
Results
After training on about 34,000 data points, the model achieves a 58% accuracy on the test data. Class 1 is beat earnings, Class 2 is miss earnings.. Scroll to the bottom for the predictions for today’s AMC estimates.

https://preview.redd.it/fqapvx2z1tv41.png?width=875&format=png&auto=webp&s=05ea5cae25ee5689edea334f2814e1fa73aa195d
Future Directions
Things I’m going to try:
  • Financial twitter sentiment data (need data for this)
  • Data on options (ToS apparently has stuff that you can use)
  • Using data closer to the earnings report itself rather than just the data within the quarterly date
A note to the dozen people who were following me before
Thank you so much for the early feedback and following. I had a bug in my code which was replicating datapoints, causing my accuracy to be way higher in reality. I’ve modified some things to make the network only output a single value, and I’ve done a lot of bug fixing.
Predictions for 4/30/20 AMC:
A value closer to 1 means that the company will be more likely to beat earnings estimates. Closer to 0 means the company will be more likely to miss earnings estimates. (People familiar with machine learning will note that neural networks don’t actually output a probability distribution so the values don’t actually represent a confidence).
  • Tkr: AAPL NN: 0.504
  • Tkr: AMZN NN: 0.544
  • Tkr: UAL NN: 0.438
  • Tkr: GILD NN: 0.532
  • Tkr: TNDM NN: 0.488
  • Tkr: X NN: 0.511
  • Tkr: AMGN NN: 0.642
  • Tkr: WDC NN: 0.540
  • Tkr: WHR NN: 0.574
  • Tkr: SYK NN: 0.557
  • Tkr: ZEN NN: 0.580
  • Tkr: MGM NN: 0.452
  • Tkr: ILMN NN: 0.575
  • Tkr: MOH NN: 0.500
  • Tkr: FND NN: 0.542
  • Tkr: TWOU NN: 0.604
  • Tkr: OSIS NN: 0.487
  • Tkr: CXO NN: 0.470
  • Tkr: BLDR NN: 0.465
  • Tkr: CASA NN: 0.568
  • Tkr: COLM NN: 0.537
  • Tkr: COG NN: 0.547
  • Tkr: SGEN NN: 0.486
  • Tkr: FMBI NN: 0.496
  • Tkr: PSA NN: 0.547
  • Tkr: BZH NN: 0.482
  • Tkr: LOCO NN: 0.575
  • Tkr: DLA NN: 0.460
  • Tkr: SSNC NN: 0.524
  • Tkr: SWN NN: 0.476
  • Tkr: RMD NN: 0.499
  • Tkr: VKTX NN: 0.437
  • Tkr: EXPO NN: 0.526
  • Tkr: BL NN: 0.516
  • Tkr: FTV NN: 0.498
  • Tkr: ASGN NN: 0.593
  • Tkr: KNSL NN: 0.538
  • Tkr: RSG NN: 0.594
  • Tkr: EBS NN: 0.483
  • Tkr: PRAH NN: 0.598
  • Tkr: RRC NN: 0.472
  • Tkr: ICBK NN: 0.514
  • Tkr: LPLA NN: 0.597
  • Tkr: WK NN: 0.630
  • Tkr: ATUS NN: 0.530
  • Tkr: FBHS NN: 0.587
  • Tkr: SWI NN: 0.521
  • Tkr: TRUP NN: 0.570
  • Tkr: AJG NN: 0.509
  • Tkr: BAND NN: 0.618
  • Tkr: DCO NN: 0.514
  • Tkr: BRKS NN: 0.490
  • Tkr: BY NN: 0.502
  • Tkr: CUZ NN: 0.477
  • Tkr: EMN NN: 0.532
  • Tkr: VICI NN: 0.310
  • Tkr: GLPI NN: 0.371
  • Tkr: MTZ NN: 0.514
  • Tkr: SEM NN: 0.405
  • Tkr: SPSC NN: 0.465
[1] https://towardsdatascience.com/forecasting-earning-surprises-with-machine-learning-68b2f2318936
[2] https://zicklin.baruch.cuny.edu/wp-content/uploads/sites/10/2019/12/Improving-Earnings-Predictions-with-Machine-Learning-Hunt-Myers-Myers.pdf
[3] https://www.euclidean.com/better-than-human-forecasts
[4] https://cran.r-project.org/web/packages/edgaedgar.pdf.
[5] https://financialmodelingprep.com/developedocs/
submitted by xXx_Bunga_xXx to wallstreetbets [link] [comments]

Classified: Compiled Intelligence On the Lost Dolls Reclaimer Faction (OC Reclaimer Faction)

Condensed intelligence overview detailing currently known information on the Reclaimer faction known as ‘Lost Dolls.’ Information contained therein has been compiled by Sky Union Intelligence Officer ‘MB.’
Sources consist largely of Sky Union’s own records, as well as shared intelligence reports on the matter, compiled battle data, and found footage shared by Orbital. MB was also able to covertly interview the pilot ‘Port’ directly, though it’s believed that she understood the general purpose of MB’s questioning, and so her testimony must be accepted with a degree of scrutiny.
OVERVIEW
Unit Name: Lost Dolls
“Bringing you the bleeding edge of technology from thirty years ago, today. Let’s get started.”
-MB, initial debriefing.
Time of Operation: Officially, only four hundred and seventy three days. Compiled intelligence suggests that the group has been active in the Oval Link for far longer, with upward estimates reaching as high as twenty years. At the very least, all members were alive at the time of the Moonfall.
Pilots: Five
Affiliations: No known Consortium ties. Joint operations alongside other Reclaimer factions are uncommon, though Steel Knights show up most often with Bullet Works and Immortal Innocence tied for a distant second.
Preferred Mission Profile: Lost Dolls’ mission profile trends toward humanitarian missions. Primarily defensive or retributive actions against Corrupted A.I. incursions, particularly those concerning civilian populations within the Oval Link. It’s generally accepted that this is one of the primary factors contributing to their work alongside Steel Knights.
They are less likely than average to pursue high-risk, high-payout missions such as deep-dives into A.I. territory or the escort of VIPs, such as political or military personnel, out of high risk areas. Conversely, they are more likely to take on high-risk missions with lower pay, such as escorting civilian evacuation caravans in the event of a Corrupted A.I. incursion. This behavior matches with the Dolls’ preference for humanitarian work, as missions fitting these criteria tend to be posted by lower level governmental officials, or even civilians with pooled resources, who have come under sudden attack.
Quirks: All five pilots typically show to missions, in violation of the four-per-squad standard. Normally this would be in violation of the Consortium Treaty, but so far Orbital has refused to take action. It is theorized that this is due to the Dolls’ reluctance to hit military targets, and that Orbital may be letting the behavior slide in the interest of protecting civilian lives.
The Dolls have no known home base. Port has made reference to a ‘bus’ in interviews that she says they use for field repair and transportation; it’s possible she’s referring to an old rapid deployment Arsenal carrier like the ones that were used before the Consortiums established proper infrastructure in the Oval Link, but it’s hard to say where a group like the Dolls could have found an operational one, much less one capable of fielding five arsenals. It’s almost more likely that they actually have two, puttering somewhere around the Neutral Zone. Even that’s a hard pill to swallow, since the old carriers have been out of production for almost thirty years now.
Very little of the Dolls’ equipment is up-to-date. Their plugsuits are all defunct prototype models and in varying states of disrepair; most of their pilots don’t even use the actual connections in the suits themselves, opting instead for permanent ports connecting directly to their nervous systems. I’ve never seen any of them sporting a Blitz, either. At least one, Port, has been observed with what appears to be a traditional slug-throwing sidearm.
The Lost Dolls claim to be a family unit of five sisters. The physical differences between them would imply that this is in a purely symbolic manner (excepting Protoca and Hope. Possibly Port if our facial analysis data is reliable), but the effect is the same. Their loyalty to each other is hard to call into question.
Every one of their pilots has had their age frozen by Outer Syndrome.
It should be noted that all pilots, excepting Earwax, have pilot rankings that do not properly reflect their overall level of competency. The Dolls’ propensity for low-sensitivity missions and unwillingness to work closely to further any Consortium goals aside from preservation of human life has left them low on the leaderboard. In cases where this information is used for planning operations against or alongside the Lost Dolls, assume all pilots are at the level of A rank or higher.
PILOTS/MECHS
“I’ll start off with saying that the Dolls have the most ‘ware I’ve ever seen packed into a unit of this size. Two pilots are almost entirely cybernetic. And I do mean entirely.”
-MB
Callsign: Tachi
Real Name: Tachi Hanamura
Age: Unknown. Appears to be in her late teens.
Height: 197cm outside of Arsenal, 76cm while embarked, 167cm when utilizing her ‘emergency legs.’
Rank: C
Handed: Both
Family: Four sisters
Outer Ability: Unknown. Though she is remarkably receptive to cybernetic augmentations and displays an unusual level of synchronicity with her Arsenal, hovering at anywhere between 91% and 95% at any time.
Piloting Tendences: Aggressive. Highly aggressive. Tachi’s typical M.O. involves charging directly into an enemy formation and smashing the thing to bits before moving onto the next cluster. She often acts as the Dolls’ line breaker and attack dog, flushing high priority targets out of the press or just bowling down the chaff so that the other pilots can focus on more important things.
“The armor is 600mm of over a dozen different laminates and they didn’t include a single thermal dispersion layer for laser fire...”
-Tachi, picking over the husk of a disabled Genbu
Physical Description: Where to start? First, brown hair, cropped into a messy bowl cut. Wide build for a girl. Her entire right arm is cybernetic. Her torso ends above her hips, which have been replaced by a massive version of the nerve-interface hubs found on standard plugsuits. Outside of her Arsenal this is plugged into the top of a massive set of ‘spider legs,’ complete with abdomen, which she uses as her normal mode of transport. When embarked on a mission, she’s lifted off her leg hub and simply plugged into a custom seat in her Arsenal, with a secondary connection at the base of her neck; the normal shoulder connections aren’t used.
The arm and leg hub don’t match any known manufacturer of prosthetics, and the connection format at her hip is dated by at least a full twenty years. A pair of more modern legs are integrated into her piloting seat and act as part of her ejection system should her Arsenal be put out of commission in the middle of combat.
She has a set of rocket thrusters implanted into her back. Actual rocket thrusters; the vents are mostly flush with her shoulder blades, protruding perhaps 5-6cm. Footage loaned from Orbital demonstrates her leaping almost one hundred meters utilizing them while under full load (read: attached to the massive spider leg assembly). Using her Arsenal ejection system, combined with the lighter weight of her backup legs, it’s estimated she could travel as far as three hundred meters on a burst from the thrusters.
Arsenal: Arachne
Weapon Compliment:
Arsenal Characteristics: Beat half to death and heavy.
Arachne’s one of the two Arsenals in the Dolls’ employ that we have a decent technical read on, mostly because Tachi’s a shameless showboat and likes to show off all the tinkering she’s done on the thing. A decent example of the Dolls’ construction strategy, no two armor components on Arachne are from the same model. The left arm is optimized for melee strikes (both the base model, and the aftermarket modifications that have been made by the pilot) while the right is oriented for handling firearms. The unit is sluggish in the air and has middling mobility on foot for it’s durability; fine enough for Tachi’s preferred method of brawling. Combat footage shows she’s the type of pilot that tries to stay grounded anyway.
Tachi’s normal plan of attack is to get in close and personal with the Raven II and Ohabari and shred whatever’s in front of her. The Reaper II is typically reserved for plinking Strais or aerial targets that have gotten spread out. The Agni Flame appears to be used purely as backup.
Frankly, the Reaper II and Ogre Break II are squandered here. With a maximum lock range of only two hundred and one meters, Arachne is right on the edge of it’s rangeband with the Reaper and hopelessly short of the Ogre. That hasn’t stopped the pilot from eyeballing slower moving AI from farther out, but the Arsenal really shows the slapdash nature of the pilot.
“She doesn’t stop. Not for anything. While pouring over the combat footage I actually stumbled onto a sequence where she took a Failnaught round right through the cockpit and all it did was make her angry.”
-MB.
Callsign: Protoca
Real Name: Protoca [no known surname]
Age: Unknown. Appears to be in her late teens.
Height: 182cm
Rank: B
Handed: Left
Family: Four sisters
Outer Ability: Rapid regeneration from injuries, as well as being prone to physical mutation. She can apparently recover from injuries that even most Outers would find lethal; we have combat footage of an ejected Protoca taking a cannon round to the legs, obliterating everything from her hips downward. I met her face-to-face in my interview with Port and she had made a full recovery, complete with a set of genuine flesh and blood legs. You wouldn’t even know it’d happened.
Her mutations appear to be a side-effect of her regeneration, and do not directly benefit her while piloting outside of her absurd physical strength and enhanced reflexes.
Piloting Tendencies: Measured and deliberate, but outrageously dogged. She keeps a wide engagement profile and usually plays mop-up alongside Port when dealing with traditional corrupted AI forces, otherwise she’s running interference when facing off against Arsenals. She’s particularly skilled at close urban combat and swaps between playing rifleman and melee roles fluidly. She also rarely retreats from engagement, regardless of the tactical situation. On at least one occasion, her Arsenal was reduced down to it’s torso, head, and one leg in an engagement with a hostile Arsenal pilot. Instead of withdrawing, Protoca engaged afterburners and tackled her opponent, which bought enough time for Lost Dolls’ other pilots to reach her position and disable the enemy.
Generally speaking, it seems she simply will not withdraw from an engagement unless one of the other pilots is under direct threat or Port herself calls for an immediate withdrawal.
“You don’t take one step further. Not one.”
-Protoca, staring down three fresh Strais after dispatching their forward wing.
Physical Description: A real mess. For the basics; brown hair, trimmed into an angled bob cut. She’s wide shouldered, but nowhere near as broad as Tachi. Her torso and leg profiles are slim, arguably emaciated. Musculature is extremely visible, as if she’s constantly tensing her entire body with every movement. It’s possible that’s the case, as her movement patterns have a habit of being twitchy and erratic.
As for the aforementioned mutations: her right leg is covered in dark, hard scales. An atrophied wing, like that of a bat, shares a dual joint at the shoulder with her right arm. Numerous scars, some clearly surgical in nature. There’s a kind of plant-like symbiont that wraps around her left arm, up her neck, and ends in her hair, sprouting into a pair of green, bioluminescent flowers; it’s unclear if this is a mutation to her person or if it’s a separate entity.
A note about the wing and scales: they’re proofed against small arms. How Protoca’s body is able to produce organic compounds capable of standing up to Femto weaponry is currently a subject of heated debate in R&D’s breakroom. I’m sure more than a few whiteboards have been broken over it, considering how loud they get.
Arsenal: One More
Weapon Compliment:
  • OAW-P54 Aegis
  • OAW-BL74 Cronus Break
  • SAW-RP90F Splendor
  • HAW-CF22 Chaff Flare
  • HAW-R26F Guilty Throne
  • HAW-L05F Stargazer
Arsenal Characteristics: One More is the type of Arsenal you could smack upside the head with a Buster Doom and it would ask for seconds.
True, it doesn’t have the bulk of a true heavy-weight, but the chassis itself is strong enough to take a hit and keep on coming and the Splendor repair system means the Arsenal has fantastic staying power over the course of an extended engagement. And the Aegis shield in the off-hand gifts the pilot considerable bulk in the context of a contained duel.
Like Arachne, One More has a lopsided chassis with a horrendously overengineered sword arm while the other is optimized for handling firearms. Unlike Arachne, One More has access to a far more advanced set of weaponry. Between the Guilty Throne, Aegis, Cronus Break, and Stargazer, Protoca is running a veritable buffet of high performance, low availability equipment. The manufacturers of the Cronus Break and Aegis models aren’t even public knowledge, so it’s an open question where the Dolls could have procured such serious tech with their relatively bare income and (reportedly) spartan operational facilities.
Operationally, One More often acts as the anvil to Port and Tachi’s hammer; a hard to remove obstacle for any conventional AI force and a dogged pursuer for most arsenal-based forces.
“The team’s tactical leader and designated marksman. Methodical, cordial, and a complete horror show like all the others.”
-MB
Callsign: Port
Real Name: Samantha Thampson
Age: Unknown. Appears to be in her late teens.
Height: 167cm
Rank: B
Handed: Left
Family: Four sisters.
Outer Ability: Port’s brain is innately capable of understanding binary code which allows her unparalleled levels of synchronicity with her Arsenal, fluctuating between 99%-100%. It also allows her to eschew the traditional connecting ports in her plug suit (which is good, because they’re all visibly broken) and instead opt for a surgically installed plug that connects directly to her brain stem. Connected this way, her Arsenal effectively becomes an extension of her physical body.
This ability also extends to binary converted into other formats other than a direct electrical feed; Port has often been caught having verbal, and apparently quite in-depth, conversations with the AI unit of her Arsenal via the unit’s external audio systems, with bursts of static standing in for the unit's speech. How coherent/intelligent this ‘dialogue’ from the unit is still up in the air, but analysis of the few samples we do have shows definite patterns in the unit’s ‘speech’ and in how it reacts to Port herself.
Piloting Tendencies: Port’s preferred method of engagement appears to be skirmishing at distance; she fits the rifleman archetype to a T. Unlike Protoca, Tachi, and Lily, Port has no measures for melee combat installed on her Arsenal aside from its fists, and even the one shotgun she keeps on the rear pylons is a choked down, longer range model.
Her usual M.O. when deployed amongst her sisters is to hang back behind Tachi or Protoca and plink. Well, ‘plink.’ The DMR and high performance assault rifle she’s managed to scrounge out of the Neutral Zone could blow through a Rebellion’s kneecap with sustained fire, and her sisters are good at giving her the required openings. While going over the combat footage, I saw her put a round down the barrel of a Slay Dog more than once.
“Oh, we’re just a merry little band of misfits, Sergeant. Looking out for each other, trying to make the world a better place. I’m sure you’ve heard the old song and dance.”
-Port, early in her interview with Intelligence Officer MB.
Physical Description: The most immediately striking thing about Port is arguably her albinism; snow white from head to toe except for her eyes, which are pink from lack of pigment. After that might be the fact that she’s a quadruple amputee with a full suite of military grade replacement limbs (or rather, Port claims that they’re military grade). The hardware itself appears very dated, to the point where our intelligence teams have not actually been able to pinpoint a make or model. Aside from being old, they’re clearly several sizes too large for her. Approximating by their overall scale, we estimate they’re intended for an 180cm adult male. The size difference is exaggerated somewhat by the fact that her legs have actually been installed too low, connecting part way down her thighs rather than at the hip. The limbs themselves don’t appear to be anything special; the arms are conventional replacement limbs with a fully articulated wrist, hand, and fingers while the legs are set up for sprinting, the feet having been replaced with a flexible running fin. The legs also boast a pneumatic jumping apparatus on par with modern Outer modifications.
Port has also undergone extensive cranial modifications, some of which she claims she’s performed herself. These include a large radio antenna mounted behind her right ear and connected via ribbon cable to the base of her skull, a set of four high definition cameras implanted into the ridges of her cheekbones, a manually operated combat stimulant pump on the bottom left portion of her skull, and two white ‘dog ears’ surgically implanted over her ear canals (breed and origin undetermined; possibly vat grown and purchased off the black market).
Moving on from augmentations; Port herself is slightly built. Thin frame, long face, little visible muscle to speak of. Her torso is thin enough that it almost appears emaciated, though there’s some contention on whether this is actually due to nutritional deficit or rather a result of further augmentation or Outer Syndrome. She’s covered in scars and has permanent iris damage in her left eye.
Arsenal: B3-206 (though Port often shortens this to ‘Bee’)
Weapon Compliment:
  • SAW-SR53 Beluga Beam
  • Agni Flame M
  • HAW-R26F Guilty Throne
  • HAW-SH35 Hoggish Spriggan
  • HAW-AM01L Scarlet Star
And a reserve magazine for an expanded ammunition compliment.
Arsenal Characteristics: A solid, all around trooper unit.
B3-206 excels in the roles of medium range fire support and skirmisher. Between the Beluga Beam and Scarlet Star, B3-206 has excellent firepower at range to harass hostile targets while the Guilty Throne and M model Agni Flame offer solid mid-range options for when the fighting gets in a little closer. Port appears to keep the Spriggan on hand as a sidearm more than anything else, usually only resorting to it once her other weapons have depleted their ammunition stores.
As for the Arsenal itself, B3-206 is very much a jack of all trades. Construction focuses on striking a balance between durability, maneuverability, and memory capacity with some minor sacrifices to overall firepower. Of particular note are the Arsenal’s arms, the make of which don’t appear in any of our internal records. Construction closely resembles the make of an old, defunct Zen prototype from over twenty years ago but declassified documents suggest that those never made it past the drawing board before the project was canceled; we’re currently doing some more thorough digging to try and figure out where Port may have picked them up but the current theory is that she found a fabricator on the black market who developed the design independently.
As mentioned previously, B3-206 is on recording having apparently complex conversations with Port via audibly broadcast binary noise. We don’t have enough data to synthesize a translation at this time, but the patterns are definite and subtle variations in the machine’s tone do closely mirror subtleties in human speech resulting from shifts in mood. Port herself has been cryptic on the subject but the implications of a sapient AI operating directly under Orbital authority are something the intelligence community is still exploring.
“Arguably the team’s ace pilot, she ties Port and Protoca combined for Arsenal downs. She lags behind in Corrupted AI kills but then, that isn’t her job.”
-MB
Callsign: Lily
Real Name: Liliana [no known surname]
Age: Unknown. Appears to be in her early teens.
Height: 160cm
Rank: A
Handed: Right
Family: Four sisters
Outer Ability: Instantaneous reaction time. She has a true reaction time of 0.00000000 seconds, meaning she is only limited by the inertia of her own body or Arsenal when maneuvering in combat. This has given rise to some truly hair-raising maneuvering from Lily, as she can change her plan of attack at any point for any reason as long as her Arsenal is capable of putting up with the mechanical stress.
Piloting Tendencies: Highly aggressive, arguably moreso than Tachi. Her ability to outthink and out-react even her own teammates mean that Lily is often extending far beyond them before they can even realize it. The good news for her is that the enemy won't realize it either; not until she's put two full magazines from her Silver Raven IIs right into their back, anyway.
“A real firecracker, this one. You wouldn’t guess by how quiet she is off the field.”
-MB
Physical Description: Short, slightly built (though not so much as Port), with the physicality one might expect of a professional dancer. Her hair is sandy brown and kept braided.
Like Port, Lily is highly augmented. Both her legs have been replaced with prosthetics and, like Port, the make and model are unknown. Visually, they resemble Outer-issue dedicated leaping prosthetics in that they taper sharply down to the feet which appear to be a pair of springloaded fins, not dissimilar to Port’s running fins. Her left arm has also been replaced with an arm of a similar make to Port’s, though it’s not identical. It’s detachable, with the shoulder socket doubling as Lily’s primary connection port while embarked in the Rabbit.
Also like Port, she has a pair of animal ears implanted into her head, though in this case they are in addition to her normal ones as opposed to replacing them; they’re a pair of large rabbit ears matching her hair color.
Some miscellaneous notes: Lily is completely mute. She communicates primarily through a form of one-handed sign language, heavily favoring her right hand. Per Port, all pilots in the unit are fluent enough to understand the broad strokes of whatever it is Lily is signing but only Tachi has put in the time to learn the language properly. Her and Lily will sometimes utilize it to have private conversations. In the field she gets by with a limited set of synthesized voice commands that Port has uploaded into a soundboard in her cockpit.
Lily is also quite near-sighted. A rare condition for an Outer, let alone an Arsenal pilot. She can commonly be found sporting a pair of cokebottle glasses when not in her Arsenal.
Arsenal: Red Rabbit
Weapon Compliment:
  • HAW-M05 Silver Raven II x 2
  • SAW-EB10 Prominence
  • SAW-EB10L Prominence
  • SAW-RP95 Devotion
  • HAW-CS09 Cooling System
Arsenal Characteristics: Red Rabbit is what most experienced Arsenal pilots would describe as ‘selfish.’
Even as part of a cohesive unit, Red Rabbit’s role typically involves acting alone, striking forward ahead of the advancing unit or around the opposition’s flank to pick out high priority targets before the enemy can properly react. Where Arachne’s application is as a blunt instrument, Red Rabbit is a dagger sinking into the enemy’s unguarded flank. Hot shots flock to these sorts of machines because it means they get to wrack up the killmarks, though Lily doesn't seem the type to keep score.
About every aspect of Red Rabbit’s handling characteristics have been redlined for the sake of keeping up with its daring pilot. It’s bleeding fast, turns on a dime, and is practically air-weight as far as Arsenals are concerned. This also means it’s exceptionally fragile but, with Lily at the helm, it’s rare for the Rabbit to incur significant battle damage at all.
A minor note: Red Rabbit is the only Arsenal in the unit to use an after-market body kit. This has made visually identifying the make and model essentially impossible. Femto expulsion readings and in-depth handling analyses have been carried out by our boys in the Intelligence office but I can only speculate as to their conclusion, as the particular details haven’t been cleared for my viewing. I hear it made some of the higher ups break into a cold sweat, for whatever that’s worth.
“Cute kid. Not really sure what she’s doing hanging out in a Reclaimer unit, shy as she is.”
-MB
Callsign: Earwax
Real Name: Hope [no known surname]
Age: Unknown. Her age was frozen while quite young; appears to be about nine or ten.
Height: 121cm
Rank: E
Handed: Right
Family: Four sisters
Outer Ability: Currently unknown. Port has hinted that she might have empathic capabilities.
Piloting Tendencies: Earwax is the team’s high altitude reconnaissance and communications expert. She spends every moment of flight time high over the battlefield, coordinating the other pilots and keeping a bird’s eye view of the battle. There is no known record of Earwax engaging in combat directly.
“Don’t call me that! Ugh. I asked Port not to make that my nickname . . .”
-Earwax apparently doesn’t like her callsign.
Physical Description: The spitting image of Protoca, if Protca were seven years younger and lacking mutations. Going theory in the intelligence circuit is that Earwax and Protoca are twins, with Earwax contracting Outer Syndrome at an earlier date than her sister. Sadly, at this stage all we have is conjecture.
Notable visual distinctions between the two, aside from height, mostly come down to personal style. Earwax wears her hair longer and is more likely to wear ornaments such as hair clips or bands. She is also the team’s only member to be commonly found in civilian clothing, with a penchant for ribbons and frilly dresses. All told, Earwax is almost aggressively ‘normal’ in contrast with the rest of her team, wholly lacking her sister’s enhanced musculature as well as any cybernetic augmentation.
Arsenal: Eden
Weapon Compliment: A single HAW-H05L Trickster and all the sensor equipment you can reasonably jam into the torso chassis.
Arsenal Characteristics: Eden is the Dolls’ high altitude recon and overwatch unit.
Just about every spare or redundant part has been pulled off the frame in favor of saving weight and increasing the maximum operational ceiling of the unit well beyond standard combat load parameters. As a result, Eden is capable of operating above an AO almost indefinitely, feeding the team’s other pilots a steady stream of intel while high and away from any real danger.
Frankly, there isn’t much more to say on the subject. Eden is so pared down that it’s barely more than a trainer unit with a bunch of sensors strapped to the hood. Which is good, because Hope has none of the typical neural implants that normally facilitate handling Arsenal movement, nor any secondary method of connection like most of her sisters. She flies almost purely by instruments.
There isn’t even much evidence to suggest she’s ever fired her Trickster, which is meant as a last resort defensive measure in case something gets by the defensive screen formed by the rest of the unit. There have been all of five occasions where her Arsenal was purposefully pursued by enemy contacts and, the three times they got away from Lily, said contacts burned their own engines out while trying to exceed their operational ceiling.
Closing Statement: The Lost Dolls represent a valuable asset in the fight against the Corrupted AI in that they are a reliable and high-uptime asset dedicated to safeguarding vulnerable towns and cities across the Oval Link. That said, they show no interest in working closely with any Consortium; at this time it is my estimation that we would only ever look to the Lost Dolls as a stabilizing measure in the event of a crisis, rather than a resource to exploit proactively.
If you made it this far, thanks for reading over my post. And thanks to u/Muteki_____ for translating DxM's supplementary materials and ultimately giving me the idea for this writeup.
I sure hope the formatting doesn't break.
submitted by o0m-9 to DaemonXMachina [link] [comments]

Subreddit Demographic Survey 2019 : The Results

Subreddit Demographic Survey 2019

1. Introduction

Once a year, this subreddit hosts a survey in order to get to know the community a little bit and in order to answer questions that are frequently asked here. Earlier this summer, a few thousand of you participated in a massive Subreddit Demographic Survey.
Unfortunately during the process of collating results we lost contact with SailorMercure, who in previous years has completed all of the data analysis from the Google form responses. We were therefore required to collate and analyse the responses from the raw data via Excel. I attach the raw data below for those who would like to review it. For 2020 we will be rebuilding the survey from scratch.
Raw Data
Multiple areas of your life were probed: general a/s/l, education, finances, religious beliefs, marital status, etc. They are separated in 10 sections:
  1. General Demographics
  2. Education Level
  3. Career and Finances
  4. Child Status
  5. Current Location
  6. Religion and Spirituality
  7. Sexual and Romantic Life
  8. Childhood and Family Life
  9. Sterilization
  10. Childfreedom

2. Methodology

Our sample is people from this subreddit who saw that we had a survey going on and were willing to complete the survey. A weekly stickied announcement was used to alert members of the community that a survey was being run.

3. Results

5,976 participants over the course of two months at a subscriber count of 588,488 (total participant ratio of slightly >1%)

3.1 General Demographics

5,976 participants in total

Age group

Age group Participants # Percentage
18 or younger 491 8.22%
19 to 24 1820 30.46%
25 to 29 1660 27.78%
30 to 34 1107 18.52%
35 to 39 509 8.52%
40 to 44 191 3.20%
45 to 49 91 1.52%
50 to 54 54 0.90%
55 to 59 29 0.49%
60 to 64 15 0.25%
65 to 69 4 0.07%
70 to 74 2 0.03%
75 or older 3 0.05%
84.97% of the sub is under the age of 35.

Gender and Gender Identity

4,583 participants out of 5,976 (71.54%) were assigned the gender of female at birth, 1,393 (23.31%) were assigned the gender of male at birth. Today, 4,275 (70.4%) participants identify themselves as female, 1,420 (23.76%) as male, 239 (4.00%) as non binary and 42 (0.7%) as other (from lack of other options).

Sexual Orientation

Sexual Orientation Participants # Percentage
Asexual 373 6.24%
Bisexual 1,421 23.78%
Heterosexual 3,280 54.89%
Homosexual 271 4.53%
It's fluid 196 3.28%
Other 95 1.59%
Pansexual 340 5.69%

Birth Location

Because the list contains over 120 countries, we'll show the top 20 countries:
Country of birth Participants # Percentage
United States 3,547 59.35%
Canada 439 7.35%
United Kingdom 414 6.93%
Australia 198 3.31%
Germany 119 1.99%
Netherlands 72 1.20%
France 68 1.14%
Poland 66 1.10%
India 59 0.99%
Mexico 49 0.82%
New Zealand 47 0.79%
Brazil 44 0.74%
Sweden 43 0.72%
Philippines 39 0.65%
Finland 37 0.62%
Russia 34 0.57%
Ireland 33 0.55%
Denmark 31 0.52%
Norway 30 0.50%
Belgium 28 0.47%
90.31% of the participants were born in these countries.

Ethnicity

That one was difficult for many reasons and didn't encompass all possibilities simply from lack of knowledge.
Ethnicity Participants # Percentage
Caucasian / White 4,583 76.69%
Hispanic / Latinx 332 5.56%
Multiracial 188 3.15%
East Asian 168 2.81%
Biracial 161 2.69%
African Descent / Black 155 2.59%
Indian / South Asian 120 2.01%
Other 83 1.39%
Jewish (the ethnicity, not the religion) 65 1.09%
Arab / Near Eastern / Middle Eastern 40 0.67%
American Indian or Alaskan Native 37 0.62%
Pacific Islander 24 0.40%
Aboriginal / Australian 20 0.33%

3.2 Education Level

5,976 participants in total

Current Level of Education

Highest Current Level of Education Participants # Percentage
Bachelor's degree 2061 34.49%
Some college / university 1309 21.90%
Master's degree 754 12.62%
Graduated high school / GED 721 12.06%
Associate's degree 350 5.86%
Trade / Technical / Vocational training 239 4.00%
Did not complete high school 238 3.98%
Professional degree 136 2.28%
Doctorate degree 130 2.18%
Post Doctorate 30 0.50%
Did not complete elementary school 8 0.13%

Future Education Plans

Educational Aims Participants # Percentage
I'm good where I am right now 1,731 28.97%
Master's degree 1,384 23.16%
Bachelor's degree 1,353 22.64%
Doctorate degree 639 10.69%
Vocational / Trade / Technical training 235 3.93%
Professional degree 214 3.58%
Post Doctorate 165 2.76%
Associate's degree 164 2.74%
Graduate high school / GED 91 1.52%
Of our 5,976 participants, a total of 1,576 (26.37%) returned to higher education after a break of 3+ years, the other 4,400 (73.76%) did not.
Degree (Major) Participants # Percentage
I don't have a degree or a major 1,010 16.90%
Other 580 9.71%
Health Sciences 498 8.33%
Engineering 455 7.61%
Information and Communication Technologies 428 7.16%
Arts and Music 403 6.74%
Social Sciences 361 6.04%
Business 313 5.24%
Life Sciences 311 5.20%
Literature and Languages 255 4.27%
Humanities 230 3.85%
Fundamental and Applied Sciences 174 2.91%
Teaching and Education Sciences 174 2.91%
Communication 142 2.38%
Law 132 2.21%
Economics and Politics 101 1.69%
Finance 94 1.57%
Social Sciences and Social Action 84 1.41%
Environment and Sustainable Development 70 1.17%
Marketing 53 0.89%
Administration and Management Sciences 52 0.87%
Environmental Planning and Design 24 0.40%
Fashion 18 0.30%
Theology and Religious Sciences 14 0.23%
A number of you commented in the free-form field at the end of the survey, that your degree was not present and that it wasn't related to any of the listed ones. We will try to mitigate this in the next survey!

3.3 Career and Finances

Out of the 5,976 participants, 2,199 (36.80%) work in the field they majored in, 953 (15.95%) graduated but do not work in their original field. 1,645 (27.53%) are still studying. The remaining 1,179 (19.73%) are either retired, currently unemployed or out of the workforce for unspecified reasons.
The top 10 industries our participants are working in are:
Industry Participants # Percentage
Health Care and Social Assistance 568 9.50%
Retail 400 6.69%
Arts, Entertainment, and Recreation 330 5.52%
College, University, and Adult Education 292 4.89%
Government and Public Administration 258 4.32%
Finance and Insurance 246 4.12%
Hotel and Food Services 221 3.70%
Scientific or Technical Services 198 3.31%
Software 193 3.23%
Information Services and Data Processing 169 2.83%
*Note that "other", "I'm a student" and "currently unemployed" have been disgregarded for this part of the evaluation.
Out of the 4,477 participants active in the workforce, the majority (1,632 or 36.45%) work between 40-50 hours per week, 34.73% (1,555) are working 30-40 hours weekly. Less than 6% work >50 h per week, and 23.87% (1,024 participants) less than 30 hours.
718 or 16.04% are taking over managerial responsibilities (ranging from Jr. to Sr. Management); 247 (5.52%) are self employed or partners.
On a scale of 1 (lowest) to 10 (highest), the overwhelming majority (4,009 or 67.09%) indicated that career plays a very important role in their lives, attributing a score of 7 and higher.
Only 663 (11.09%) gave it a score below 4, indicating a low importance.
The importance of climbing the career ladder is very evenly distributed across all participants and ranges in a harmonized 7-12% range for each of the 10 steps of importance.
23.71% (1,417) of the participants are making extra income with a hobby or side job.
From the 5,907 participants not already retired, the overwhelming majority of 3,608 (61.11%) does not actively seek early retirement. From those who are, most (1,024 / 17.34%) want to do so between 55-64; 7 and 11% respectively in the age brackets before or after. Less than 3.5% are looking for retirement below 45 years of age.
1,127 participants decided not to disclose their income brackets. The remaining 4,849 are distributed as follows:
Income Participants # Percentage
$0 to $14,999 1,271 26.21%
$15,000 to $29,999 800 16.50%
$30,000 to $59,999 1,441 29.72%
$60,000 to $89,999 731 15.08%
$90,000 to $119,999 300 6.19%
$120,000 to $149,999 136 2.80%
$150,000 to $179,999 67 1.38%
$180,000 to $209,999 29 0.60%
$210,000 to $239,999 22 0.45%
$240,000 to $269,999 15 0.31%
$270,000 to $299,999 5 0.10%
$300,000 or more 32 0.66%

3.4 Child Status

5,976 participants in total
94.44% of the participants (5,644) would call themselves "childfree" (as opposed to 5.56% of the participants who would not call themselves childfree. However, only 68.51% of the participants (4,094) do not have children and do not want them in any capacity at any point of the future. The other 31.49% have a varying degree of indecision, child wanting or child having on their own or their (future) spouse's part.
The 4,094 participants were made to participate in the following sections of the survey.

3.5 Current Location

4,094 childfree participants in total

Current Location

There were more than 200 options of country, so we are showing the top 10 CF countries.
Current Location Participants # Percentage
United States 2,495 60.94%
United Kingdom 331 8.09%
Canada 325 7.94%
Australia 146 3.57%
Germany 90 2.20%
Netherlands 66 1.61%
France 43 1.05%
Sweden 40 0.98%
New Zealand 33 0.81%
Poland 33 0.81%
The Top 10 amounts to 87.98% of the childfree participants' current location.

Current Location Qualification

These participants would describe their current city, town or neighborhood as:
Qualification Participants # Percentage
Urban 1,557 38.03%
Suburban 1,994 48.71%
Rural 543 13.26%

Tolerance to "Alternative Lifestyles" in Current Location

Figure 1
Figure 2
Figure 3

3.6 Religion and Spirituality

4094 childfree participants in total

Faith Originally Raised In

There were more than 50 options of faith, so we aimed to show the top 10 most chosen beliefs..
Faith Participants # Percentage
Christianity 2,624 64.09%
Atheism 494 12.07%
None (≠ Atheism. Literally, no notion of spirituality or religion in the upbringing) 431 10.53%
Agnosticism 248 6.06%
Judaism 63 1.54%
Other 45 1.10%
Hinduism 42 1.03%
Islam 40 0.98%
Buddhism 24 0.59%
Paganism 14 0.34%
This top 10 amounts to 98.3% of the 4,094 childfree participants.

Current Faith

There were more than 50 options of faith, so we aimed to show the top 10 most chosen beliefs:
Faith Participants # Percentage
Atheism 2,276 55.59%
Agnosticism 829 20.25%
Christianity 343 8.38%
Other 172 4.20%
Paganism 100 2.44%
Satanism 67 1.64%
Spiritualism 55 1.34%
Witchcraft 54 1.32%
Buddhism 43 1.05%
Judaism 30 0.73%
This top 10 amounts to 96.95% of the participants.

Level of Current Religious Practice

Level Participants # Percentage
Wholly secular / Non religious 3045 74.38%
Identify with religion, but don't practice strictly 387 9.45%
Lapsed / Not serious / In name only 314 7.67%
Observant at home only 216 5.28%
Observant at home. Church/Temple/Mosque/Etc. attendance 115 2.81%
Church/Temple/Mosque/Etc. attendance only 17 0.42%

Effect of Faith over Childfreedom

Figure 4

Effect of Childfreedom over Faith

Figure 5

3.7 Romantic and Sexual Life

4,094 childfree participants in total

Current Dating Situation

Status Participants # Percentage
Divorce 37 0.90
Engaged 215 5.25
Long term relationship, living together 758 18.51
Long term relationship, not living with together 502 12.26
Married 935 22.84
Other 69 1.69
Separated 10 0.24
Short term relationship 82 2.00
Single and dating around, but not looking for anything serious 234 5.72
Single and dating around, looking for something serious 271 6.62
Single and not looking 975 23.82
Widowed 6 0.15

Ethical Non-Monogamy

Non-monogamy (or nonmonogamy) is an umbrella term for every practice or philosophy of intimate relationship that does not strictly hew to the standards of monogamy, particularly that of having only one person with whom to exchange sex, love, and affection.
82.3% of the childfree participants do not practice ethical non-monogamy, as opposed to 17.7% who say they do.

Childfree Partner

Regarding to currently having a childfree or non childfree partner, excluding the 36.7% of childfree participants who said they do not have a partner at the moment. For this question only, only 2591 childfree participants are considered.
Partner Participants # Percentage
Childfree partner 2105 81.2%
Non childfree partner 404 9.9%
More than one partner; all childfree 53 1.3%
More than one partner; some childfree 24 0.9%
More than one partner; none childfree 5 0.2%

Dating a Single Parent

Would the childfree participants be willing to date a single parent?
Answer Participants # Percentage
No, I'm not interested in single parents and their ties to parenting life 3693 90.2
Yes, but only if it's a short term arrangement of some sort 139 3.4
Yes, whether for long term or short term, but with some conditions 161 3.9
Yes, whether for long term or short term, with no conditions 101 2.5

3.8 Childhood and Family Life

On a scale from 1 (very unhappy) to 10 (very happy), how would you rate your childhood?
Answer Participants # Percentage
1 154 3.8%
2 212 5.2%
3 433 10.6%
4 514 12.6%
5 412 10.1%
6 426 10.4%
7 629 15.4%
8 704 17.2%
9 357 8.7%
10 253 6.2%

3.9 Sterilization

4,094 childfree participants in total
Sterilization Status Participants # Percentage
No, I am not sterilized and, for medical, practical or other reasons, I do not need to be 687 16.8
No. However, I've been approved for the procedure and I'm waiting for the date to arrive 119 2.9
No. I am not sterilized and don't want to be 585 14.3
No. I want to be sterilized but I have started looking for a doctor (doctor shopping) 328 8.0
No. I want to be sterilized but I haven't started doctor shopping yet 1896 46.3
Yes. I am sterilized 479 11.7

Already Sterilized

479 sterilized childfree participants in total

Age when starting doctor shopping or addressing issue with doctor

Age group Participants # Percentage
18 or younger 37 7.7%
19 to 24 131 27.3%
25 to 29 159 33.2%
30 to 34 92 19.2%
35 to 39 47 9.8%
40 to 44 9 1.9%
45 to 49 1 0.2%
50 to 54 1 0.2%
55 or older 2 0.4%

Age at the time of sterilization

Age group Participants # Percentage
18 or younger 4 0.8%
19 to 24 83 17.3%
25 to 29 181 37.8%
30 to 34 121 25.3%
35 to 39 66 13.8%
40 to 44 17 3.5%
45 to 49 3 0.6%
50 to 54 1 0.2%
55 or older 3 0.6%

Elapsed time between requesting procedure and undergoing procedure

Time Participants # Percentage
Less than 3 months 280 58.5
Between 3 and 6 months 78 16.3
Between 6 and 9 months 20 4.2
Between 9 and 12 months 10 2.1
Between 12 and 18 months 17 3.5
Between 18 and 24 months 9 1.9
Between 24 and 30 months 6 1.3
Between 30 and 36 months 4 0.8
Between 3 and 5 years 19 4.0
Between 5 and 7 years 9 1.9
More than 7 years 27 5.6

How many doctors refused at first, before finding one who would accept?

Doctor # Participants # Percentage
None. The first doctor I asked said yes 340 71.0%
One. The second doctor I asked said yes 56 11.7%
Two. The third doctor I asked said yes 37 7.7%
Three. The fourth doctor I asked said yes 15 3.1%
Four. The fifth doctor I asked said yes 8 1.7%
Five. The sixth doctor I asked said yes 5 1.0%
Six. The seventh doctor I asked said yes 4 0.8%
Seven. The eighth doctor I asked said yes 1 0.2%
Eight. The ninth doctor I asked said yes 1 0.2%
I asked more than 10 doctors before finding one who said yes 12 2.5%

Approved, not Sterilized Yet

119 approved but not yet sterilised childfree participants in total. Owing to the zero participants who were approved but not yet sterilised in the 45+ age group in the 2018 survey, these categories were removed from the 2019 survey.

Age when starting doctor shopping or addressing issue with doctor

Age group Participants # Percentage
18 or younger 11 9.2%
19 to 24 42 35.3%
25 to 29 37 31.1%
30 to 34 23 19.3%
35 to 39 5 4.2%
40 to 45 1 0.8%

How many doctors refused at first, before finding one who would accept?

Doctor # Participants # Percentage
None. The first doctor I asked said yes 77 64.7%
One. The second doctor I asked said yes 12 10.1%
Two. The third doctor I asked said yes 12 10.1%
Three. The fourth doctor I asked said yes 5 4.2%
Four. The fifth doctor I asked said yes 2 1.7%
Five. The sixth doctor I asked said yes 4 3.4%
Six. The seventh doctor I asked said yes 1 0.8%
Seven. The eighth doctor I asked said yes 1 0.8%
Eight. The ninth doctor I asked said yes 0 0.0%
I asked more than ten doctors before finding one who said yes 5 4.2%

How long between starting doctor shopping and finding a doctor who said "Yes"?

Time Participants # Percentage
Less than 3 months 65 54.6%
3 to 6 months 13 10.9%
6 to 9 months 9 7.6%
9 to 12 months 1 0.8%
12 to 18 months 2 1.7%
18 to 24 months 2 1.7%
24 to 30 months 1 0.8%
30 to 36 months 1 0.8%
3 to 5 years 8 6.7%
5 to 7 years 6 5.0%
More than 7 years 11 9.2%

Age when receiving green light for sterilization procedure?

Age group Participants # Percentage
18 or younger 1 0.8%
19 to 24 36 30.3%
25 to 29 45 37.8%
30 to 34 27 22.7%
35 to 39 9 7.6%
40 to 44 1 0.8%

Not Sterilized Yet But Looking

328 searching childfree participants in total

How many doctors did you ask so far?

Doctor # Participants # Percentage
1 204 62.2%
2 61 18.6%
3 29 8.8%
4 12 3.7%
5 7 2.1%
6 6 1.8%
7 1 0.3%
8 1 0.3%
9 1 0.3%
More than 10 6 1.8%

How long have you been searching so far?

Time Participants # Percentage
Less than 3 months 117 35.7%
3 to 6 months 44 13.4%
6 to 9 months 14 4.3%
9 to 12 months 27 8.2%
12 to 18 months 18 5.5%
18 to 24 months 14 4.3%
24 to 30 months 17 5.2%
30 to 36 months 9 2.7%
3 to 5 years 35 10.7%
5 to 7 years 11 3.4%
More than 7 years 22 6.7%

At what age did you start searching?

Age group Participants # Percentage
18 or younger 50 15.2%
19 to 24 151 46.0%
25 to 29 86 26.2%
30 to 34 31 9.5%
35 to 39 7 2.1%
40 to 44 2 0.6%
45 to 54 1 0.3%

3.10 Childfreedom

4,094 childfree participants in total
Only 1.1% of the childfree participants (46 out of 4094) literally owns a jetski, but 46.1% of the childfree participants (1889 out of 4094) figuratively owns a jetski. A figurative jetski is an expensive material possession that purchasing would have been almost impossible had you had children.

Primary Reason to Not Have Children

Reason Participants # Percentage
Aversion towards children ("I don't like children") 1222 29.8
Childhood trauma 121 3.0
Current state of the world 87 2.1
Environmental (it includes overpopulation) 144 3.5
Eugenics ("I have "bad genes" ") 62 1.5
Financial 145 3.5
I already raised somebody else who isn't my child 45 1.1
Lack of interest towards parenthood ("I don't want to raise children") 1718 42.0
Maybe interested for parenthood, but not suited for parenthood 31 0.8
Medical ("I have a condition that makes conceiving/bearing/birthing children difficult, dangerous or lethal") 52 1.3
Other 58 1.4
Philosophical / Moral (e.g.: antinatalism) 136 3.3
Tokophobia (aversion/fear of pregnancy and/or chidlbirth) 273 6.7

4. Discussion

Section 1 : General Demographics

The demographics remain largely consistent with the 2018 survey. 85% of the participants are under 35, compared with 87.5% of the subreddit in the 2018 survey. 71.54% of the subreddit identify as female, compared with 70.4% in the 2018 survey. This is in contrast to the overall membership of Reddit, estimated at 74% male according to Reddit's Wikipedia page [https://en.wikipedia.org/wiki/Reddit#Users_and_moderators]. There was a marked drop in the ratio of members who identify as heterosexual, from 67.7% in the 2018 survey to 54.89% in the 2019 survey. Ethnicity wise, 77% of members identified as primarily Caucasian, a slight drop from the 2018 survey, where 79.6% of members identified as primarily Caucasian.
Further research may be useful to explore the unusually high female membership of /childfree and the potential reasons for this. It is possible that the results are skewed towards those more inclined to complete a survey.
In the 2018 survey the userbase identified the following missing ethicities:
This has been rectified in the current 2019 survey.

Section 2 : Education level

As it did in the 2018 survey, this section highlights the stereotype of childfree people as being well educated. 4% of participants did not complete high school, which is a slight increase from the 2018 survey, where 3.1% of participants did not graduate high school. This could potentially be explained by the slightly higher percentage of participants under 18. 5.6% of participants were under 18 at the time of the 2018 survey, and 8.2% of participants were under 18 at the time of the 2019 survey.
At the 2019 survey, the highest percentage of responses under the: What is your degree/major? question fell under "I don't have a degree or a major" (16.9%) and "other" (9.71%). However, of the participants who were able to select a degree and/or major, the most popular responses were:
Response Participants # Percentage
Health Sciences 498 8.33%
Engineering 455 7.61%
Information and Communication Technologies 428 7.16%
Arts and Music 403 6.74%
Social Sciences 361 6.04%
Compared to the 2018 survey, health sciences have overtaken engineering, however the top 5 majors remain the same. There is significant diversity in the subreddit with regards to chosen degree/major.

Section 3 : Career and Finances

The highest percentage of participants (17.7%) listed themselves as a student. However, of those currently working, significant diversity in chosen field of employment was noted. This is consistent with the 2018 survey. The highest percentage of people working in one of the fields listed remains in Healthcare and Social Services. This is slightly down from the 2018 survey (9.9%) to 9.5%.
One of the stereotypes of the childfree is of wealth. However this is not demonstrated in the survey results. 72.4% of participants earn under $60,000 USD per annum, while 87.5% earn under $90,000 per annum. 26.2% are earning under $15,000 per annum. The results remain largely consistent with the 2018 survey. 1127 participants, or 19% chose not to disclose this information. It is possible that this may have skewed the results if a significant proportion of these people were our high income earners, but impossible to explore.
A majority of our participants work between 30 and 50 hours per week (71.2%) which is markedly increased from the 2018 survey, where 54.6% of participants worked between 30 and 50 hours per week.

Section 4 : Child Status

This section solely existed to sift the childfree from the fencesitters and the non childfree in order to get answers only from the childfree. Childfree, as it is defined in the subreddit, is "I do not have children nor want to have them in any capacity (biological, adopted, fostered, step- or other) at any point in the future." 68.5% of participants actually identify as childfree, slightly up from the 2018 survey, where 66.3% of participants identified as childfree. This is suprising in reflection of the overall reputation of the subreddit across reddit, where the subreddit is often described as an "echo chamber".

Section 5 : Current Location

The location responses are largely similar to the 2018 survey with a majority of participants living in a suburban and urban area. 86.7% of participants in the 2019 survey live in urban and suburban regions, with 87.6% of participants living in urban and suburban regions in the 2018 survey. There is likely a multifactorial reason for this, encompassing the younger, educated skew of participants and the easier access to universities and employment, and the fact that a majority of the population worldwide localises to urban centres. There may be an element of increased progressive social viewpoints and identities in urban regions, however this would need to be explored further from a sociological perspective to draw any definitive conclusions.
A majority of our participants (60.9%) live in the USA. The United Kingdom (8.1%), Canada (7.9%), Australia (3.6%) and Germany (2.2%) encompass the next 4 most popular responses. Compared to the 2018 survey, there has been a slight drop in the USA membership (64%), United Kingdom membership (7.3%) Canadian membership (8.1%), Australian membership (3.8%). There has been a slight increase in German membership, up from 1.7%. This may reflect a growing globalisation of the childfree concept.

Section 6 : Religion and Spirituality

A majority of participants were raised Christian (64.1%) however the majority are currently aetheist (55.6%) or agnostic (20.25%). This is consistent with the 2018 survey results.
A majority of participants (62.8%) rated religion as "not at all influential" to the childfree choice. This is consistent with the 2018 survey where 60.9% rated religion as "not at all influential". Despite the high percentage of participants who identify as aetheist or agnostic, this does not appear to be related to or have an impact on the childfree choice.

Section 7 : Romantic and Sexual Life

60.7% of our participants are in a relationship at the time of the survey. This is an almost identical result to the 2018 survey, where 60.6% of our participants were in a relationship. A notable proportion of our participants are listed as single and not looking (23.8%) which is consistent with the 2018 survey. Considering the frequent posts seeking dating advice as a childfree person, it is surprising that such a high proportion of the participants are not actively seeking out a relationship.
Participants that practice ethical non-monogamy are unusual (17.7%) and this result is consistent with the results of the 2018 survey. Despite the reputuation for childfree people to live an unconventional lifestyle, this finding suggests that a majority of our participants are monogamous.
84.2% of participants with partners of some kind have at least one childfree partner. This is consistent with the often irreconcilable element of one party desiring children and the other wishing to abstain from having children.

Section 8 : Childhood and Family Life

Overall, the participants skew towards a happier childhood.

Section 9 : Sterilization

While just under half of our participants wish to be sterilised, 46.3%, only 11.7% have been successful in achieving sterilisation. This is likely due to overarching resistance from the medical profession however other factors such as the logistical elements of surgery and the cost may also contribute. This is also a decrease from the percentage of participants sterilised in the 2018 survey (14.8%). 31.1% of participants do not wish to be or need to be sterilised suggesting a partial element of satisfaction from temporary birth control methods or non-necessity from no sexual activity.
Of the participants who did achieve sterilisation, a majority began the search between 19 and 29, with the highest proportion being in the 25-29 age group (33.2%) This is a drop from the 2018 survey where 37.9% of people who started the search were between 25-29.
The majority of participants who sought out and were successful at achieving sterilisation, were again in the 25-29 age group (37.8%). This is consistent with the 2018 survey results.
Over half of the participants who were sterilised had the procedure completed in less than 3 months (58.5%). This is a decline from the number of participants who achieved sterilisation in 3 months in the 2018 survey (68%). The proportion of participants who have had one or more doctors refuse to perform the procedure has stayed consistent between the two surveys.

Section 10 : Childfreedom

The main reasons for people chosing the childfree lifestyle are a lack of interest towards parenthood and an aversion towards children. Of the people surveyed 63.8% are pet owners, suggesting that this lack of interest towards parenthood does not necessarily mean a lack of interest in all forms of caretaking. The community skews towards a dislike of children overall which correlates well with the 81.4% of users choosing "no, I do not have, did not use to have and will not have a job that makes me heavily interact with children on a daily basis" in answer to, "do you have a job that heavily makes you interact with children on a daily basis?".
A vast majority of the subreddit identifes as pro-choice (94.5%). This is likely due to a high level of concern about bodily autonomy and forced parenthood. However only 70% support financial abortion for the non-pregnant person in a relationship to sever all financial and parental ties with a child.
45.9% identify as feminist, however many users prefer to identify with egalitarianism or are unsure. Only 8% firmly do not identify as a feminist.
Most of our users realised that did not want children young. 60% of participants knew they did not want children by the age of 18, with 96% of users realising this by age 30. This correlates well with the age distribution of participants. Despite this early realisation of our childfree stance, 80.4% of participants have been "bingoed" at some stage in their lives. Only 13% of participants are opposed to parents making posts on this subreddit.
Bonus section: The Subreddit
In light of the "State of the Subreddit" survey from 2018, some of the questions from this survey were added to the current Subreddit Survey 2019.
By and large our participants were lurkers (66.17%). Our participants were divided on their favourite flairs with 33.34% selecting "I have no favourite". The next most favourite flair was "Rant", at 20.47%. Our participants were similarly divided on their least favourite flair, with 64.46% selecting "I have no least favourite". Potentially concerningly were the 42.01% of participants who selected "I have never participated on this sub", suggesting a disparity between members who contributed to this survey and members who actually participate in the subreddit. To further address this, next year's survey will clarify the "never participated" option by specifying that "never participated" means "never up/downvoting, reading posts or commenting" in addition to never posting.
A small minority of the survey participants (6.18%) selected "yes" to allowing polite, well meaning lectures. An even smaller minority (2.76%) selected "yes" to allowing angry, trolling lectures. In response to this lectures remain not tolerated, and removed on sight or on report.
Almost half of our users (49.95%) support the use of terms such as breeder, mombie/moo, daddict/duh on the subreddit, with a further 22.52% supporting use of these terms in context of bad parents only. In response to this use of the above and similar terms to describe parents remains permitted on ths subreddit.
55.3% of users support the use of terms to describe children such as crotchfruit on the subreddit, with a further 17.42% of users supporting the use of this and similar terms in context of bad children only. In response to this use of the above and similar terms to describe children remains permitted on ths subreddit.
56.03% of participants support allowing parents to post, with a further 28.77% supporting parent posts dependent on context. In response to this, parent posts will continue to be allowed on the subreddit. Furthermore 66.19% of participants support parents and non childfree making "I need your advice" posts, with a further 21.37% supporting these dependent on context. In light of these results we have decided to implement a new "regret" flair to better sort out parents from fencesitters, which will be trialed until the next subreddit survey due to concern from some of our members. 64.92% of participants support parents making "I support you guys" posts. Therefore, these will continue to be allowed.
71.03% of participants support under 18's who are childfree participating in the subreddit. Therefore we will continue to allow under 18's that stay within the overall Reddit age requirement.
We asked participants their opinion on moving Rants and Brants to a stickied weekly thread. Slightly less than half (49.73%) selected leaving them as they are in their own posts. In light of the fact that Rants are one of the participant's favourite flairs, we will leave them as they are.
There was divide among participants as to whether "newbie" questions should be removed. An even spread was noted among participants who selected remove and those who selected to leave them as is. We have therefore decided to leave them as is.

5. Conclusion

Thank you to our participants who contributed to the survey. To whoever commented, "Do I get a donut?", no you do not, but you get our appreciation for pushing through all of the questions!
Overall there have been few significant changes in the community from 2018.

Thank you also for all of your patience!

submitted by CFmoderator to childfree [link] [comments]

This is a draft you idiots

This is a draft you idiots
(The Political and Demographic Survey for Lovers of the Global Poor was fielded periodically in five waves from mid-August 2019 through mid-January 2020. It was made possible with a generous grant from the Open Society Foundations, a philanthropic venture founded by George Soros.)
This unscientific survey and its modest samples are by no means a definitive account of this community's attitudes or demography, and I've identified at least a few methodological shortcomings. Two of them — namely, the limited answer selection for favorability questions and the wording of one option in the religious affiliation query — are described below.
More significantly, however, my decision to prioritize insights about the demographic makeup of this subreddit (wherein I limited each respondent to one wave to prevent duplicates) necessarily came at the expense of revelations about its political opinions. As a result, it is impossible to exclude the possibility that apparent trends between one wave and the next are not due at least in part to a response pool whose politics are systematically different from previous ones.
But with the above caveats laid out, I present to you — at long last — the topline findings and corresponding analyses from my personal contribution to the Neoliberal Project!
Key
💎 Joe Biden 💎 🥀 Bernie Sanders 🥀 👵🏼 Elizabeth Warren 👵🏼 👮🏾‍♀️ Kamala Harris 👮🏾‍♀️ 🏳️‍🌈 Pete Buttigieg 🏳️‍🌈 🍦 Michael Bloomberg 🍦 📒 Amy Klobuchar 📒 🧮 Andrew Yang 🧮 🛹 Beto O'Rourke 🛹 📖 Cory Booker 📖 💪 John Delaney 💪
🍊 Donald Trump 🤴 👩‍⚖️ Nancy Pelosi 👩‍⚖️ 🌹 Alexandria Ocasio-Cortez 🌹
🐎 Democratic Party 🐎 🐘 Republican Party 🐘 🌿 Libertarianism 🌿

Wave 1 (N=222 | August 11–13, 2019)

https://preview.redd.it/9e9bkuw54do41.png?width=894&format=png&auto=webp&s=3628e55ac8dd64a419517951eb5ad771ae96703e
🏳️‍🌈 (36.9%) earns a large plurality, with 🛹 (19.8%) taking second place. 💎 (10.8%) and 💪 (9.0%) follow up in third and fourth, while the fiercely progressive 👵🏼 (5.9%) earns a fair share as well. The remaining candidates combine for 15 percent of the first-preference vote, with no individual candidate reaching 4 points.
Favorability¹
Opinions of 🏳️‍🌈 (91.6) soar sky-high, with nearly 9 in 10 expressing a favorable view. In a not-so-close second is 👩‍⚖️ (84.2) for whom close to 8 in 10 have a positive opinion. 💎 (80.9) is the second-placed Democratic candidate, with nearly 3 in 4 offering a positive view, with nobody else even remotely close.
👵🏼 (46.1) finds herself slightly underwater, with a –7.7% net rating, and 👮🏾‍♀️ (43.2) is close behind. Of the five highest-polling candidates at the time of the survey, 🥀 (12.1) finds himself in an ignominious last, with just under a mere 1 in 10 giving a favorable view.
However, nobody on the left side of the aisle can come close to 🍊🤴 (1.4), who lands just a hair above being universally despised.
Subject Favorable Neither Unfavorable Index²
🏳️‍🌈 88.7 5.9 5.4 91.6
👩‍⚖️ 78.4 11.7 9.9 84.2
🐎 76.1 13.5 10.4 82.8
💎 73.0 15.8 11.3 80.9
👵 36.9 18.5 44.6 46.1
👮🏾‍♀️ 30.6 25.2 44.1 43.2
🌿 27.4 18.0 54.5 36.4
🌹 21.6 18.0 60.4 30.6
🥀 9.0 6.3 84.7 12.1
🐘 1.8 5.9 92.3 4.7
🍊🤴 0.5 1.8 97.7 1.4

Wave 2 (N=140 | October 11–15, 2019)

https://preview.redd.it/ckpx1vo94do41.png?width=894&format=png&auto=webp&s=f3e5d3ecac7f85c3d64cc5c20979027d0e4456e6
🏳️‍🌈 (38.6%) once again lands on top, more than tripling niche-favorite 💪's (12.1%) share, who is in a tight cluster for runner-up with 🛹 (11.4%) — who suffered a steep decline — 💎 (11.4%), and 👵🏼 (10.7%), who nearly doubled her vote. The rest take a little under 1/7th of the vote, with nobody breaking 4 percent.
Favorability
🏳️‍🌈 (92.8) hurdles the 9 in 10 threshold for favorability. 👩‍⚖️ (89.6) sees her already stellar standing improve substantially, while 💎 (83.1) trades places with his party.
👵🏼 (55.4) surges into positive territory, while 👮🏾‍♀️ (33.9) takes a big hit. 🥀 (14.9) is once again dead last.
Subject Favorable Neither Unfavorable Index²
🏳️‍🌈 90.7 4.3 5.0 92.8
👩‍⚖️ 85.0 9.3 5.7 89.6
💎 77.1 12.1 10.7 83.1
🐎 77.4 9.3 13.6 82.0
👵🏼 48.6 13.6 37.9 55.4
🌿 27.1 25.0 47.9 39.6
👮🏾‍♀️ 24.3 19.3 56.4 33.9
🌹 17.1 17.1 65.7 25.6
🥀 11.4 7.1 81.4 14.9
🐘 3.6 5.0 91.4 6.1
🍊🤴 0.7 2.9 96.4 2.1

Wave 3 (N=165 | November 11–14, 2019)

https://preview.redd.it/0bqavm8d4do41.png?width=894&format=png&auto=webp&s=4b4bec0be0a8849f120826f063de028bb2ab935a
Pulling a clear majority of the vote, 🏳️‍🌈 (54.5%) obliterates the field. 💎 (18.8%) substantially increases his share, while 👵🏼 (5.5%) has her percentage halved and 💪 (4.2%) cut by a brutal two-thirds. The remaining candidates take 14 percent, with no individual candidate surpassing the 4-point threshold.
Favorability
🏳️‍🌈 (93.9) inches still closer to the mathematical limit, as 👩‍⚖️ (84.2) recedes and 💎 (83.0) replicates his previous robust showing.
👵🏼 (38.5) nosedives, and 👮🏾‍♀️ (38.1) recoups some of her losses. 🥀 (12.1) returns to his abysmal rating in the first wave.
🍊🤴 (2.7) climbs further, doubling his Wave 1 standing in an impressive show of newfound popularity.
Subject Favorable Neither Unfavorable Index²
🏳️‍🌈 92.1 3.6 4.2 93.9
👩‍⚖️ 78.2 12.1 9.7 84.2
💎 76.4 13.3 10.3 83.0
🐎 72.7 12.7 14.5 79.0
👵🏼 28.5 20.0 51.5 38.5
👮🏾‍♀️ 24.2 27.9 47.9 38.1
🌿 28.5 15.2 56.4 36.1
🌹 12.7 17.6 69.7 21.5
🥀 9.1 6.1 84.8 12.1
🐘 1.8 5.5 92.7 4.5
🍊🤴 2.4 0.6 97.0 2.7

Wave 4 (N=150 | December 23–26, 2019)

https://preview.redd.it/7ozcxrue4do41.png?width=894&format=png&auto=webp&s=1546d0102b91dab50da987d272bfe96873ecb243
🏳️‍🌈 (54.0%) repeats his dominating performance, while 💎 (22.0%) earns twice his initial share. A meaningful minority contingent selects the otherwise broadly reviled 🥀 (4.7%), and late-entrant 🍦 (4.7%) matches. 🧮 (4.0%) earns his mention with a number of votes, 👵🏼 (2.7%) loses another half off her support, and 💪 (1.3%) fades into the background.
Favorability
🏳️‍🌈 (91.3) loses a bit of his still-vibrant luster, and 👩‍⚖️ (91.3) draws right even with him as her skeptics are slashed by no less than half. 💎 (87.6) significantly improves his already excellent numbers.
The now-departed 👮🏾‍♀️ (48.3) surges to near-even favorability, while 👵🏼 (34.0) is further depressed. 🥀 (17.3) rises somewhat from the abyss.
Subject Favorable Neither Unfavorable Index²
🏳️‍🌈 90.0 2.7 7.3 91.3
👩‍⚖️ 88.0 6.7 5.3 91.3
💎 84.0 7.3 8.7 87.6
🐎 73.3 18.0 8.7 79.0
👮🏾‍♀️ 36.0 24.7 49.3 48.3
🌿 29.3 21.3 49.3 36.1
👵🏼 26.0 16.0 58.0 34.0
🌹 13.3 18.7 68.0 22.6
🥀 12.7 9.3 78.0 17.3
🐘 1.3 9.3 89.3 5.9
🍊🤴 0.7 2.7 96.7 2.0

Wave 5 (N=187 | January 12–14, 2020)

https://preview.redd.it/va1ly13i4do41.png?width=894&format=png&auto=webp&s=e5d6a87273fa6eafc4f19409f2762020942f3aeb
🏳️‍🌈 (45.5%) loses his outright majority as 💎 (28.9%) significantly increases his vote share for the fourth consecutive wave. 📒 (4.8%) rises to the top of the second tier, with 📖 (4.3%) just behind.
Favorability
💎's (91.2) unrelenting rise is mirrored in favorability as he dethrones 🏳️‍🌈 (90.3) for the first place in the metric.
👮🏾‍♀️ (55.8) rides cleanly into positive territory, and 👵🏼 (45.7) sees her image improve substantially, perhaps aided by an ongoing feud with 🥀 (13.8), who falls from his personal high.
🍊🤴 (1.0), for his part, kisses the floor.
Subject Favorable Neither Unfavorable Index²
💎 87.7 7.0 5.3 91.2
🏳️‍🌈 86.6 7.5 5.9 90.3
👩‍⚖️ 84.5 10.2 5.3 89.6
🐎 74.3 15.0 10.7 81.8
👮🏾‍♀️ 42.2 27.3 30.5 55.8
👵🏼 34.2 23.0 42.8 45.7
🌿 26.2 25.1 48.7 38.7
🌹 11.8 20.3 67.9 21.9
🥀 11.2 5.3 83.4 13.8
🐘 3.2 8.6 88.2 7.5
🍊🤴 0.5 1.1 98.4 1.0

Bernie Sanders vs. Donald Trump

https://preview.redd.it/mve7hnyfodo41.png?width=427&format=png&auto=webp&s=6dc3f26f3106411133c5e830746f1e9aab1fc7be
The overwhelming majority — 8 in 10 — of neoliberal are willing to hold their noses and vote for 🥀 were he the nominee, but the percentage shrunk by just over 1 percent in every successive wave but one, while the number of defectors reached a high of 8 percent in the fourth before receding somewhat. This is perhaps due to the increasingly bitter nature of the primary.
Candidate Wave 1 Wave 2 Wave 3 Wave 4 Wave 5
🥀 82.0 80.7 80.6 79.3 78.1
Neither 15.8 12.9 13.3 12.7 16.6
🍊🤴 2.3 6.4 6.1 8.0 5.3

Policies

https://preview.redd.it/phl3ug4fpdo41.png?width=427&format=png&auto=webp&s=798f47119e768445322d48217d5d97e6c3901cce
A similarly overwhelming 82 percent majority across all five waves oppose allowing businesses to deny service to LGBT+ customers on the basis of their orientation, while just 1 in 8 expressed support.
Policy Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Total
Yes 12.2 9.3 14.5 15.3 10.2 12.3
Neither 3.6 5.7 8.5 4.0 7.2 5.7
No 84.2 85.0 77.0 80.3 82.9 82.1

https://preview.redd.it/bbg0cm14qdo41.png?width=427&format=png&auto=webp&s=0cbfede1b1f25601d9b018e6e28a178163bb7aeb
By a 7215 margin, neoliberals support changing the individual income tax schedule in the United States to add 40 and 45 percent brackets for respective annual incomes over $1,000,000 and $2,500,000. (The difference between the waves with highest and lowest margins in favor are statistically significant, although the reason behind this is unclear.)
Policy Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Total
Yes 71.2 73.6 69.7 68.7 75.9 71.9
Neither 14.9 12.9 9.7 14.0 12.8 13.0
No 14.0 13.6 20.6 17.3 11.2 15.2

https://preview.redd.it/rm2xubohsdo41.png?width=427&format=png&auto=webp&s=a245ffa57b65799c1795ad6dd6b7990d15331b56
An incredible 3 in 4 respondents offer support for the politically suicidal stance of no government restrictions on abortion rights, with just 1 in 6 opposed — yet more evidence that neoliberal's moderation applies only to economics and not social and cultural issues, where its orientation is solidly leftist.
Policy Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Total
All cases 77.9 74.3 72.1 72.7 74.3 74.5
Neither 6.3 10.7 8.5 9.3 11.2 9.0
Less often 15.8 15.0 19.4 18.0 14.4 16.4

https://preview.redd.it/6x2px4s32eo41.png?width=427&format=png&auto=webp&s=6fcb1f2d67381d38e0e00af17813b9871c98ac64
On the flipside, significantly raising tax rates on higher corporate income brackets while cutting them for lower ones receives a cool reception: just under 1 in 3 expressed support for the proposed change. Many (1 in 5) were unsure, however, and the percentage of opponents falls short of majority level.
Notably, following an initial dip, approval of the proposition increased significantly from Wave 2 to Wave 5. Again, it is not clear what was behind this shift.
Policy Wave 1 Wave 2 Wave 3 Wave 4 Wave 5
Yes 28.4 27.1 30.9 30.9 39.3
Neither 21.6 19.3 20.0 20.0 18.0
No 50.0 53.6 48.1 49.1 44.7

https://preview.redd.it/95m4unun2eo41.png?width=427&format=png&auto=webp&s=ba172cb732ef8cd4c474e2d3b96eba8c501db50f
A narrow 2-point plurality favored outlawing semiautomatic rifles and magazines carrying over 10 rounds over the entire survey period, but this masks the sharp drop in support from the first wave to the second.
There is an explanation that likely accounts for this precipitous change: 🛹's politically risky proposal for a mandatory buyback of AR–15s, as well as perhaps prior preference for sub-favorite 🏳️‍🌈, who was its most vocal opponent.
Policy Wave 1 Wave 2 Wave 3 Wave 4 Wave 5
Yes 51.4 43.6 40.6 41.3 43.3
Neither 13.1 10.7 12.1 13.3 14.4
No 35.6 45.7 47.3 45.3 44.2

https://preview.redd.it/4bp3y2hs3eo41.png?width=424&format=png&auto=webp&s=d82df066af647380fe3d3b55809e201cfaa9acfc
No policy proposal saw a greater consensus than the introduction of a public option for Medicare, with an impressive 7 in 8 in support. The unequivocal figure is emblematic of the observation that the disagreement between the center-left and the hard-left is typically over the means — not the end.
Policy Wave 1 Wave 2 Wave 3 Wave 4 Wave 5
Yes 86.5 85.7 87.3 86.0 89.8
Neither 6.3 6.4 6.1 4.7 3.7
No 7.2 7.9 6.7 9.3 6.4

Demography

https://preview.redd.it/wd03n92q4eo41.png?width=424&format=png&auto=webp&s=365a52b4516f591c2a1340bd68bc3e932d957627
neoliberal is a downright fraternity, with over 9 in 10 respondents identifying themselves as male and just 6 percent as female. The remaining 1 in 40 or so identified beyond the gender binary.
(I did not try to break out transgender males and females specifically, fearing that the small figures might convey more noise than signal.)

https://preview.redd.it/gqpsmokr4eo41.png?width=424&format=png&auto=webp&s=640a30c8db352ca992ce08e95205752b7b49ca6f
An alternate tagline for this community could be "Zoomer Nation," as a 3 in 5 majority are too young to be included in the Census Bureau's calculation of the percentage of Americans with a college degree. The pattern in the remainder of the sample was scarcely any less stark: 1 in 3 were between the ages of 25 and 34. A vanishing 1 percent — 9 respondents — were 45 or older.

https://preview.redd.it/da6qct947eo41.png?width=424&format=png&auto=webp&s=dc80a11a299662cc5f8737de9879ba10bf5641d8
Limited to the 40 percent of respondents aged at least 25, this subsample offers yet another indication of how vastly different the userbase of neoliberal is from the general population. With nearly 6 in 7 seniors harboring a bachelor's degree — and 3 in 8 having at taken courses further beyond — the community comprises an elite stock. (As of 2018, 35 percent of Americans in the same age range have graduated college.)

https://preview.redd.it/ja1o5tiu4eo41.png?width=424&format=png&auto=webp&s=1d5fa218d660066b20644aa2112cc7b4cffaff88
Somewhat over 3 in 4 of the sample identified their ethnic background as white — likely a few Taylor Swifts short of what the community has seemed to envision as a battle against a polar bear in a snowstorm at the 90° parallel.
Considering the proportion of respondents from the United States ⬇️, Asian neoliberals (8.4%) were overrepresented and users of mixed ancestry (7.0%) even more so, while Hispanic (4.5%) and Black (3.2%) members fell far short of their representation in the general population.

https://preview.redd.it/8gndqetw4eo41.png?width=424&format=png&auto=webp&s=2a562687baaec05f41651d115a6f8c5b11f1400f
neoliberal is a highly secular community, with 2 in 3 stating their irreligiosity, while about 23 percent identified as Christians and 10 percent professed their affiliation with another religion.
(It's worth pointing out that these numbers are meaningfully out of line with a survey conducted of this subreddit two years ago, wherein a full 80 percent selected one of the religiously unaffiliated options and just 5 percent reported identification with another religion. It is possible that the use of "Unaffiliated" instead of "No religion" as the third selection confused certain respondents.)

https://preview.redd.it/w7ix2c635eo41.png?width=424&format=png&auto=webp&s=bcae5fdbdb89918b7227bcbceb7682064d156ca2
Perhaps a sign of the generational times, right between 1/5 and 1/4 of respondents identified as a sexual minority. This is far higher than surveys of the public report for the youngest generation, however, so other major factors are certainly at play.

https://preview.redd.it/24xvb2f77eo41.png?width=424&format=png&auto=webp&s=a1f462e3c691e9ff727b027f3b4d0ff62babd02d
In an attempt to limit the sample to those for which the questionnaire would be most relevant, I discouraged non-Americans from taking the survey, so these figures are not intended to be representative. (A follow-up poll strongly suggests that few heeded the request.)
However, I have included it to contextualize the rest of the data.
~ ~ ~ ~ ~
All Graphical Representations
Detailed Responses by Individual (useful for those who would like to do analyses of their own)
——————
¹ I discovered in a poll following up my wave survey that the lack of options for different intensities of positive/negative opinion omitted critical nuance in the data. Relatively speaking, 🏳️‍🌈 suffered most because of this, while 💎 benefitted a fair bit.
² Favorable = 100 | Neither = 50 | Unfavorable = 0
submitted by IncoherentEntity to u/IncoherentEntity [link] [comments]

Using Deep Learning to Predict Earnings Outcomes

Using Deep Learning to Predict Earnings Outcomes
(Note: if you were following my earlier posts, I wrote a note at the end of this post explaining why I deleted old posts and what changed)
TLDR:
Not financial advice.
  • I created a deep learning algorithm trained on 2015-2019 data to predict whether a company will beat earning estimates.
  • Algorithm has an accuracy of 58%.
  • I need data and suggestions.
  • I’ll be making daily posts for upcoming earnings.
Greetings everyone,
I’m Bunga, an engineering PhD student at well known university. Like many of you, I developed an interest in trading because of the coronavirus. I lost a lot of money by being greedy and uninformed about how to actually trade options. With all the free time I have with my research slowing down because of the virus, I’ve decided to use what I’m good at (being a nerd, data analytics, and machine learning) to help me make trades.
One thing that stuck out to me was how people make bets on earnings reports. As a practitioner of machine learning, we LOVE binary events since the problem can be reduced to a simple binary classification problem. With that being said, I sought out to develop a machine learning algorithm to predict whether a company will beat earnings estimates.
I strongly suggest TO NOT USE THIS AS FINANCIAL ADVICE. Please, I could just be a random guy on the internet making things up, and I could have bugs in my code. Just follow along for some fun and don’t make any trades based off of this information 😊
Things other people have tried:
A few other projects have tried to do this to some extent [1,2,3], but some are not directly predicting the outcome of the earnings report or have a very small sample size of a few companies.
The data
This has been the most challenging part of the project. I’m using data for 4,000 common stocks.
Open, high, low, close, volume stock data is often free and easy to come by. I use stock data during the quarter (Jan 1 – Mar 31 stock data for Q1 for example) in a time series classifier. I also incorporate “background” data from several ETFs to give the algorithm a feel for how the market is doing overall (hopefully this accounts for bull/bear markets when making predictions).
I use sentiment analyses extracted from 10K/10Q documents from the previous quarter as described in [4]. This gets passed to a multilayer perceptron neural network.
Data that I’ve tried and doesn’t work to well:
Scraping 10K/10Q manually for US GAAP fields like Assets, Cash, StockholdersEquity, etc. Either I’m not very good at processing the data or most of the tables are incomplete, this doesn’t work well. However, I recently came across this amazing API [5] which will ameliorate most of these problems, and I plan on incorporating this data sometime this week.
Results
After training on about 34,000 data points, the model achieves a 58% accuracy on the test data. Class 1 is beat earnings, Class 2 is miss earnings.. Scroll to the bottom for the predictions for today’s AMC estimates.

https://preview.redd.it/qmeig6of3tv41.png?width=875&format=png&auto=webp&s=c8ba4a34294b7388bf1b9e64150d7375da959ac2
Future Directions
Things I’m going to try:
  • Financial twitter sentiment data (need data for this)
  • Data on options (ToS apparently has stuff that you can use)
  • Using data closer to the earnings report itself rather than just the data within the quarterly date
A note to the dozen people who were following me before
Thank you so much for the early feedback and following. I had a bug in my code which was replicating datapoints, causing my accuracy to be way higher in reality. I’ve modified some things to make the network only output a single value, and I’ve done a lot of bug fixing.
Predictions for 4/29/20 AMC:
A value closer to 1 means that the company will be more likely to beat earnings estimates. Closer to 0 means the company will be more likely to miss earnings estimates. (People familiar with machine learning will note that neural networks don’t actually output a probability distribution so the values don’t actually represent a confidence).
  • Tkr: AAPL NN: 0.504
  • Tkr: AMZN NN: 0.544
  • Tkr: UAL NN: 0.438
  • Tkr: GILD NN: 0.532
  • Tkr: TNDM NN: 0.488
  • Tkr: X NN: 0.511
  • Tkr: AMGN NN: 0.642
  • Tkr: WDC NN: 0.540
  • Tkr: WHR NN: 0.574
  • Tkr: SYK NN: 0.557
  • Tkr: ZEN NN: 0.580
  • Tkr: MGM NN: 0.452
  • Tkr: ILMN NN: 0.575
  • Tkr: MOH NN: 0.500
  • Tkr: FND NN: 0.542
  • Tkr: TWOU NN: 0.604
  • Tkr: OSIS NN: 0.487
  • Tkr: CXO NN: 0.470
  • Tkr: BLDR NN: 0.465
  • Tkr: CASA NN: 0.568
  • Tkr: COLM NN: 0.537
  • Tkr: COG NN: 0.547
  • Tkr: SGEN NN: 0.486
  • Tkr: FMBI NN: 0.496
  • Tkr: PSA NN: 0.547
  • Tkr: BZH NN: 0.482
  • Tkr: LOCO NN: 0.575
  • Tkr: DLA NN: 0.460
  • Tkr: SSNC NN: 0.524
  • Tkr: SWN NN: 0.476
  • Tkr: RMD NN: 0.499
  • Tkr: VKTX NN: 0.437
  • Tkr: EXPO NN: 0.526
  • Tkr: BL NN: 0.516
  • Tkr: FTV NN: 0.498
  • Tkr: ASGN NN: 0.593
  • Tkr: KNSL NN: 0.538
  • Tkr: RSG NN: 0.594
  • Tkr: EBS NN: 0.483
  • Tkr: PRAH NN: 0.598
  • Tkr: RRC NN: 0.472
  • Tkr: ICBK NN: 0.514
  • Tkr: LPLA NN: 0.597
  • Tkr: WK NN: 0.630
  • Tkr: ATUS NN: 0.530
  • Tkr: FBHS NN: 0.587
  • Tkr: SWI NN: 0.521
  • Tkr: TRUP NN: 0.570
  • Tkr: AJG NN: 0.509
  • Tkr: BAND NN: 0.618
  • Tkr: DCO NN: 0.514
  • Tkr: BRKS NN: 0.490
  • Tkr: BY NN: 0.502
  • Tkr: CUZ NN: 0.477
  • Tkr: EMN NN: 0.532
  • Tkr: VICI NN: 0.310
  • Tkr: GLPI NN: 0.371
  • Tkr: MTZ NN: 0.514
  • Tkr: SEM NN: 0.405
  • Tkr: SPSC NN: 0.465
[1] https://towardsdatascience.com/forecasting-earning-surprises-with-machine-learning-68b2f2318936
[2] https://zicklin.baruch.cuny.edu/wp-content/uploads/sites/10/2019/12/Improving-Earnings-Predictions-with-Machine-Learning-Hunt-Myers-Myers.pdf
[3] https://www.euclidean.com/better-than-human-forecasts
[4] https://cran.r-project.org/web/packages/edgaedgar.pdf.
[5] https://financialmodelingprep.com/developedocs/
submitted by xXx_Bunga_xXx to u/xXx_Bunga_xXx [link] [comments]

Significant Dualities, in Nature and in Societies

Caution: This article is a long read, and goes in many directions. For the curious mind, it's a lively mindfield to explore and come back again and again. If you prefer poster images, never mind.
Some links occur here mostly because they're interesting, and somehow are part of a duality.
For me, duality means at least two things which are associated somehow, but considered separately are different. We don't need to count above 2, like say 'polyality' because obviously the idea of divergence, or fork, is able to have many 'tines' or separate paths. (See Tuning Fork, below.) We don't have time to cover every possibility, so let's just stick with 2, the most simple case of multiple. (See Rhizome Philosophy for an interesting alternative to this binary association structure. Also the paragraph titled "Association Schemes" in Exploiting the Pyramid.)
We aren't considering pairs of identicals, like dual wheels, two of exactly the same thing, but maybe if there is a small difference, or doubtful meaning between similar things (see dual internal organs under anatomy, below).
Sometimes the association between things is not obvious, in which case we better explain, but most dualities are obviously two tined. Let it go at that.
Tuning Fork, a synchronous dynamic opposition, and also an acoustic device having a dual nature similar to both stringed eg. Piano and other percussion devices (eg. Glockenspiel. See also disambiguation of similar percussion instruments. Tuning forks have the advantage of needing no containment structure because their duality counter-balances the vibrations. All the other devices have a single resonator for each tone.
Dualism (disambiguation index) | wkpd
Fake Word Similarities Dual not confused with duel Dual not confused with do all. (Obvious.)
Duality expressions
flip side
double edged sword
Janus faced
dark side-- bright side
balance equilibrium equation
opposites (word list)
positive-negative (photography))
bilateral symmetry
mirror
images, real vs virtual
paired symbols
yin-yang (principle) yin-yang (history)
Dual Obelisks, ancient Egypt (had different inscriptions on each)
duality as found on tumblr (index)
hypocrisy vs sincerity (philosophical mirror) hypocrisy sincerity sin cere means without wax, not a crackpot idea
Being a Leftist Means never having to Say You’re Sorry title of this essay inspired by a 1970s witticism
dual-process theory of human intelligence
The Balance (disambiguation index) | wkpd, in the physical, a two-sided weight comparator, in the abstract, the equation... possibly the most significant model (3) of reality ever conceived.
Exercising Equations, For Example...
How can things fly, and boats sail upwind?
Bernoulli's two-path model of lift vs Newton's Reaction of air-inertia model of force
Previous link models a lifting surface as a flat-plane and air is deflected in a single direction. Modeling a lifting surface as an arc also works, but no simple reference explaining this is found. So I'm going to do it, very briefly...
Imagine a wing, or sail, is a simple arc, and a small sample of air passing by it is like a stone on a string.. Air has mass, therefore thrusting it around a curve causes a reaction force opposite the center of the curve (aka lift.)
This is an important example because large commercial aircraft wings are complex mechanical devices that change shape depending on speed (scroll down to Flaps). At low speed, the wing simulates an arc, and a sail is made loose to form a larger curve. (Sailing in light airs, reduce tension on halyards, while a tight (more flat) sail configuration is called 'close-hauled').
Binary Thinking, True or False?
What is it? | qra
Binary opposition WARNING: Cultural Marxism, deconstruction
False dilemma, an obstacle to effective negotiation, in which nuances and concessions should be considered, not "take it or leave it" ultimatums
GOOD, BAD, UGLY? 2015 | stnfd
Example: Evolution vs Religious Tradition (Creationism) Purpose or no Purpose, that's the question: Darwinism: Survival without Purpose 2007 Another example from Mark Driscoll
Biblical Christianity requires black-and-white thinking because it is dualistic... Mainstream culture refuses to allow any categories because that would mean making distinctions, which ultimately ends in making value judgments. (which is DISCRIMINATION!) For the record, I am in favor of discrimination, not by race, but by behavior record. Discriminating Evolution from Intelligent Design (the flaws clause) 7 min
Boolean Logic
technical: Bifurcation theory
Binary Options
Nature
Wave–particle duality | wkpd Wave–particle duality (article index) | scidly Light and Sound CGI video, wave-particle duality 25 min
position vs momentum (uncertainty principle)
observer vs object observed (anthropic principle)
Energy-mass duality | wkpd
Mutual-Influence Orbital Oscillation Patterns
Mass Duality vs Time, Effects
Lunacy; tidal lock one side seen, one side hidden
Orbital resonance
Example: Earth-Luna orbit each other; Luna's mass is 0.0123 of earth's. Earth oscillates due to Luna, but radius of orbit is less than Earth's radius, so it's less obvious. See Barycenter. See also NASA, Moon, Luna's orbit, and Libration. https://music.stackexchange.com/questions/24243/what-is-the-difference-between-a-xylophone-a-glockenspiel-marimba-a-xylorimba#24245
Earth Mother Goddess Duo: Gaia/Medea Hypothesis
anatomy
Internal Organ Duals, Why? What are paired organs? (lists) 2018 | qra Symmetry Why do we have two of some organs, but not all? 2014 | stkxchg
Respiratory-Circulatory System Overlap (dual function) Venous Blood forced by thoracic-ambient pressure differential... Heart and lungs are together in the pulmonary cavity, experience simultaneous pressure fluctuations (scroll down to 'Respiratory Pump'), thus fluid influx and egress (air is a fluid). Respiration includes blood circulation, the respiratory and circulatory systems are inextricably linked.
Note that previous articles omit hydrostatic pressure which influences venous circulation (fluid pressure is higher at lower elevations, depending on density; eg. Hg (used in barometers) is 13.534g/cm3, blood is 1.06 g/cm3 (slightly more than water)). When you experience tingling, numbness or swelling due to inactivity, raise the inactive limbs above heart, gravity will help the circulation. Also, dizziness might be due to pressure variations in brain, such as suddenly standing upright after kneeling for awhile. Move more slowly.
Notice that we have only indirect control over heart-rate. We can increase physical activity (especially respiration) voluntarily, then the autonomous nerve system takes care of the rates.
Sex
Origin of Sex
Reproduction, Evolution of
When Did Sex Become Fun? 2016 | spns
A Brief History of Human Sex 2006 | lvsci
Chromosome Duality predicts longevity, reliably Scientists Discover Why women live longer Petrov 8 min
The sex with the reduced sex chromosome dies earlier: a comparison across the tree of life Mar.2020
polarity
electrical
chemical
Polarization (waves) see also Introduction to Polarized Light
magnetic geomagnetic pole
geographic
antipodes
Bi-polar Disorder (mental health)
Dysphoric Mania in Bipolar Disorder (reality IS bipolar, see previous links)
dysphoria is a profound state of unease or a general dissatisfaction with life
split personality, eg. Dr. Jekyll and Mr. Hyde
Euphoria vs Dysphoria
psycho-active stimulants create euphoria 10 BEST LEGAL EUPHORIC HIGH HERBS 2017 See also 4 Most Euphoric Nootropics
What are Nootropics?
What Is Rejection Sensitive Dysphoria?
Society
DUO - Animation Short Film (Fr) 2014 - GOBELINS (for some performance artists, life is a matter of trust) 3.5 min
Dual inheritance theory
Moral Duality
Bi-polar Disorder (social inequality), topic continues under heading "Double Standard of Morality" (scroll down)... A simple two-tier arrangement of mucked-up social "order" which originated in prehistoric times, a result of a conquering group, aka "ruling class" which maintains a dominant position (see Dominance as social construct). The privileged class takes advantage in several ways, one of which allows THEM to commit crimes against US without consequence, but the reverse situation is dealt with harshly.
Assuming there is an ecological crisis, Culture Dysphoria 2015
The historic task of cultural change is to resolve throughout the dominant culture the distortions of rationalist human/nature dualisms that deny our ecological embodiment and membership of the global ecological community.
In Reality, trends toward the Cosmopolitan Cluster are profoundly dissatisfying to conservative individuals. The CC issue is a case of 'the melting pot'. see also Cosmopolitan Cluster
The urban rural divide in the US and other complexities of polarization JUL.17,2019 | ToL
Indivi-DUAL
New idea: 'indivi', I'm going to premise means not divided, a singleton, and dual means two. That leads us to... a person is an undivided twosome, let's assume it means mind-body.
What exactly is the duality of human nature? | qra (trick question, see answer by Mike Brant, also good, Marcos Sheldon Padilla (per mind-body), see next link)
More about Mind-Body
UR2 CGPGrey 5 min
Dual Citizenship
list of, a good place to look for spies Editorial: The problem of dual citizenship 2014... “dual citizenship can present a security issue whether to permit access to classified information which affects recruitment, employment and assignments.” -US State Dept. In some cases, dual citizenship could disqualify an applicant for a sensitive position with the CIA or the State Department. (But not so for Israelis?)... List Israeli Dual Citizens in the US. 114th Congress; Bernie Sanders is on it 2016 | SotN
Binary Competition US vs THEM
Right vs Left (politics)
angels and demons 2 Class Social Hierarchy (Social Order Simplified)
Double Standard of Morality
... is a necessary adjunct to an US vs THEM ethic... because conflating US with THEM gives us cognitive dissonance; (social) equality is oblivion
The Dual Code of Morality
CHINA Strategy; moral dualities
Double Standard of Morality A necessary adjunct to US vs THEM ethic
social equality is oblivion
Bite the Hand that FED you; Ferried by kin-dness from Diaspora to Serendip, then They try to sink that "kin"ship
How the Jews Destroyed Germany | rjn
Jewish Declaration of War on Nazi Germany 1933
How The Jews Destroyed America | rjn
Nazi Jews- “Jew's own worst enemy!” 2007 Makow\rense
Cabalist Bankers Funded Hitler Via Wehrmacht Sep.2019 | svmls
Jewish Origins of Communism
For (Moses) Hess, the cardinal sin of the Judaic people was to abandon their heritage, while the cardinal objective of his Communism was to persuade all other people to abandon theirs…
Communism was the means for achieving Judaic supremacy over the gentiles. The gentiles were fated to be reduced to a faceless, deracinated mass. Capitalism was also capable of producing this effect, through free trade and the unfettered financialization of society, in which the management of money becomes a vast business in itself, and where the highest virtue, after obeisance to Judaism, is profit.
Israel’s New Ideology of Genocide 2018
ve’ahavta (“love your neighbor as yourself”) admonition to Goyim for regarding their Jewish neighbors; as for the Jews themselves, haba le-horgecha, hashkem le-horgo (“he who comes to kill you, rise early and kill him first” as told in 3 Little Pigs))
(wolf) attempts to trick third pig out of his (brick) house by asking to meet him at various places, but he is outwitted each time (3rd pig rises early, does the suggested task, and saves himself from being eaten)
Juice Dualities Juice, and DNA Melting Plot 1
back pages
A take-down of religious "morality" by a "believer"
To Serve the Greater Good, a Moral Philosophy for today++
Survey of Creativity and Destruction 1 Westciv
Garrett Hardin writes: "The essential characteristic of a tribe is that it should follow a double standard of morality -- one kind of behavior for in-group relations, another for out-group." -Wild Taboo "It is a tragic irony that discrimination has produced a species (homo sapiens) that now proposes to abandon the principle responsible for its rise to greatness."
Survey of Creativity and Destruction 8; Survival is Objective #1 in Evolution
Wild Taboo; Hardin/Masters
Competitive Exclusion Principle In the competition for living space and resources between two species (or two groups that occupy the same ecological niche), one will inevitably and inexorably eliminate the other. “In a finite universe – and the organisms of our world know no other – where the total number of organisms of both kinds cannot exceed a certain number… one species will necessarily replace the other species completely if the two species are “complete competitors, i.e., live the same kind of life.”
Historic Walls: Segregation and Security, defensive duo Disapproval of US.MX Border Barrier Design
Musical Duets (entertainment break from difficult study)
2x(Tico) no Fubá - Duo Siqueira Lima - guitar 4 Hands 3 min (includes brief encore) otra vez... 22x (Tico) Zequinha de Abreu arr. N Kossinskaya guitar quartet 4 min Anabel Montesinos & Marco Tamayo | Mozart, Rondo Alla Turca (w/audience) 3 min
Delibes, Lakmé - Duo des fleurs, Sabine Devieilhe & Marianne Crebassa, 3.8m views since Nov2017 4.5 min
Sun Quan The Emperor (Guzheng & Drum Ver.) 9.6m views since 2015 5 min
MUSA - Chandelier(Sia) & Wrecking Ball Mash - Guzheng and Zhongruan 3.3m views since 2015 3.5 min
Irish Senior Citizen Plays London Mall Piano... Then Magic Occurs; spontaneous Irish duet, Galway and Kerry 582k views since Jun.3.2019 (today is Jun.10) 7 min
Rasputin (Boney M) (viol/cello)- The Ayoub Sisters 3.4 min
A.Montesinos & M.Tamayo-Tres canciones de The Beatles-Stagione Internazionale di Chitarra Classica 9.9 min
Fool on the Hill; She's Leaving Home; Penny Lane;
Crazy - Patsy Cline Cover (Allison Young vocals, Josh Turner Guitar) 8.5k views 3.3 min
Dancing, an exercise in aesthetic, social duality
Grace on Ice Gabriella PAPADAKIS, Guillaume CIZERON, 2016 WC's music: Perfect- Ed Sheeran 4.3 min
A family exercise Derek and Julianne, music: "Unsteady" 2 min
Piano Duet, + 3 couples in traditional form Andrea & Matteo Bocelli, music: "Fall On Me" 2.6 min
Memorabilia (skips emotional intro) Jordan​ and​ ​Lindsay contemporary style, music: “Take Me Home” 1.3 min dance episode ends at 3:00
study notes
https://lorenzo-thinkingoutaloud.blogspot.com/2019/
https://simplicable.com/new/anti-competitive-practices
https://duckduckgo.com/?q=reality+dysphoria&atb=v81-4__&ia=web
submitted by acloudrift to todayplusplus [link] [comments]

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