It almost took us the same amount of time this year as it did last year. We think it's worth the wait. The results are in and we can't wait to share them with you! This year we've received a tremendous amount of help from u/gates0fdawn. She designed the whole infographic you'll see linked below, we're super grateful she took the time to create this, we think it looks super good. I would also like to shout out valuable community members who helped us out with both proofreading and giving valuable opinions. One of our Discord Mods: OldWhiskeyGuy from the subreddit discord server helped with proofreading a lot. u/SirBuckeye for valuable input and thoughts as well as industry officials who doesn't want to be named. Super thankful for all the help! Yet again we kept the age gate, so every account created after August 1st were not allowed to participate in the census.
Responses - We had a total of 5957 responses! That's 1977 less than last year's census. We started sticky commenting a link to the census in threads the final few days of the census which saw a large influx of participants taking the census.
Age - The 18-24 age group had the largest percentage of 51.5%. It declined from last years 56.7%. The 25-34 age group was the second largest with 33.4%, it has increased from 30.9% last year. The 13-17 age group increased from 8.7% to 9.9%. Yet again, it seems like we're getting older y'all.
Gender - Following last years gender identity change we've seen more users choosing more varied responses here. This one might be shocking to a few. 51.8% are Female, 43.6% are Male. Non Binary was the third largest with 1.7%.
Gender Part 2 - 91.9% are Cisgender. 1.9% are Transgender and 2.7% is an Other Gender Identity (Please let us know!) 3.5% didn't want to answer.
Sexuality - Last year about 62.5% chose Straight, this year it's lowered to 58%. 17.3% are Bisexual and 9.7% are Gay (6%) / Lesbian (3.7%).
Relationship Status - We kept the same options as last years census. We went from 76% Single to 75.6% Single! Let's keep the trend going! Last year 16.9% of users were in a relationship, this year it's at 16.5%. Married users increased from 4.7% to 5.3%
Ethnicity - 40.5% are White (Non-Hispanic), 16.6% are East Asian, 15.3% are Southeast Asian. 8.1% are Hispanic/Latino. 6% are mixed race.
Education - This question was first asked last year. This year we tried fixing this question because there were so many options that many users felt a little flabbergasted for what to choose. 34.5% are working on, or already have a Bachelor's Degree. 23.9% Are currently in Some College (No Degree) 8.3% are currently in High Scool and 13.1% are High School graduates. 8% have a Master's Degree. 1.3% has a Doctorate and 1% has a PhD.
Employment Status - With the current world situation we included the option "Covid-Related Uncertainty". 7.9% of you voted this. 34.1% are employed, 30% of students are employed and 13.8% of the students are unemployed. 6.8% are unemployed.
Employment Field - New question last year but updated a tiny amount this year. We see a majority of our users working with Computer Science and Maths, Healthcare, Financial Business, Engineering and Arts, Design & Entertainment.
Where Do You Currently Live?
World Region - 56.8% of the participants are based in North America, majority in the US. 22% are in Europe, majority in the UK. 10.3% in Asia, with most users in Philippines, Singapore and India.
Time Zones - Check the infographic for a better overview for this one. Majority of users are in UTC-05 and UTC-06.
K-Pop Engagement Questions
How were you first exposed to K-pop? - This first segment got divided into two questions this year. Most of our users had their first exposure to K-Pop through a friend, co-worker or classmate. A lot also had their first exposure to K-Pop through Youtube videos and recommendations. 10.6% were exposed to K-Pop through Gangnam Style.
What got you into K-pop? - 29.2% said that there were specific artists / groups that made you stay in the genre. 25.7% got into K-Pop from specific songs and MVs. 15.4 were interested in the songs and albums.
When did you start listening to K-Pop? - The users who started listening to K-pop 5-3 years ago was the largest % here at 19.5%. Last year, 7.8% of our users started listening to K-Pop less than a year ago, that's now gone down to 5.2%.
How do you listen to K-Pop? - Paid streaming rose from 62.2% last year to 63.8% this year. Piracy declined from 18.3% to 14.5%.
What other genres do you listen to? - New question this year. The largest three genres were Pop (80.5%), Hip-Hop / Rap (47.1%) and Rock (42.4%)
Do you know Korean? - 75.9% know very little to no Korean. This is roughly the same as last years census at 75.9%. 3.3% can speak conversational Korean.
Are you learning Korean? - 38.1% wants to learn but haven't taken it seriously yet. 13.5% are actively engaged in learning Korean.
Where do you get your K-Pop news? - 98.8% use kpop to get their news. Twitter, group subreddits, Youtube and Instagram also score high.
How often do you visit kpop? - 35.5% visit kpop multiple times a day. while 31.2% visit about once a day. 21.4% visit a few times per week.
What is your primary way to view kpop? - 44.5% use the official mobile app. This has decreased from last years 60%. 18.1% use Desktop Redesign (me included). This has now overtaken Desktop Old Design at 16.9%.
Is this your first kpop census? Not included as a question in the infographic. 50.8% said that this is their first census. 22.5% had their first census last year. 26.7% said that their first census was two or more years ago.
IU (2175 votes)
Chungha (2004 votes)
Sunmi (1782 votes)
Taeyeon (1442 votes)
Taemin (1080 votes)
Agust D / Suga (1046 votes)
Hwasa (1046 votes)
Baekhyun (900 votes)
Hyuna (879 votes)
Zico (700 votes)
IU (1st, 2175) reclaims the 1st place over Chungha (2nd, 2004). Sunmi (3rd, 1782), Taeyeon (4th, 1442) and Taemin (5th, 1080) keep their same position as last years census. Agust D (6th, 1046) has moved from last year's 8th place and moved up to a combined 6th place with newcomer Hwasa (6th, 1046) Hwasa was previously voted 17th place at last years census. Baekhyun (8th, 900) was placed at 16th place at last years census but now climbed up to 8th. Hyuna (9th, 879) was 7th place at last years census but is now at 9th place. Zico (10th, 700) was voted to 23rd place last year, he's now up to 10th place. Artists who dropped out of the top 10: RM (12th, 658), Heize (13th, 637), Dean (14th, 620).
Red Velvet (2857 votes)
TWICE (2410 votes)
BTS (1876 votes)
ITZY (1555 votes)
BLACKPINK (1550 votes)
MAMAMOO (1464 votes)
NCT (All Units) (1382 votes)
LOONA (All Units) (1345 votes)
(G)I-DLE (1334 votes)
EXO (1320 votes)
Red Velvet (1st, 2857) retakes their throne over TWICE (2nd, 2410) this year. BTS (3rd, 1876) is still topping the boy group vote. ITZY (4th, 1555) was placed 12th place last year. They have now moved up and taken the 4th place, they have pushed Girls' Generation (12th, 1155) out of the top 10. LOONA (8th, 1345) was 4th last year but has now been overtaken by NCT (7th, 1382), MAMAMOO (6th, 1464) and Blackpink (5th, 1550). EXO (10th, 1320) went from 8th last year to 10th this year. Artists who dropped out of the top 10: Girls' Generation (12th, 1155). I recommend checking the infographic for this one to see the differences in male and female voting in both favourite groups and favourite soloists.
Thank you all for participating in this years census! Sorry it took a little while for us to upload it, but we tried to do it as fast as possible. If there are any questions you'd like to see altered or improved for next years census then we're all ears. We think more data is better. Cheers, and stay safe during this crazy pandemic. Nish
Is nice to see that we have users from all around the world, even if nearly 50% are from English speaking countries. Image 1.
How old are you?
The average age of a /OnePiece user is 23.62 years old. We have roughtly 10% of users that are underaged, and 10% that are 30 years old or more. Image 2.
There is no surprise there. For the others, we have some Gender Fluids, transgenders, Bigenders, quite a lot of Non-binary, a Loli, a Furry, and nearly a 100 Oden (You wish), as well as some rude people, but I won't put up what they said.
Manga or Anime?
No real surprise here either. Considering the subreddit has a lot of spoilers and is focussed around the chapter release, it's obvious there are only a few Anime Only people here. So thank you for Sticking Around, even if it the best place to avoid spoilers.
For approximately how long have you been following One Piece?
1 Year or less
10 years or more
Nearly 40% of our users have followed the series for 10 years or more. (To give an idea, this mean they followed the series since Before the timeskip, as chapter 597 was released at the end of August 2010). For the rest, we have roughly the same number of new readers that stays with the series. So it's quite good to bring new blood and not have a decrease of new readers.
Where does One Piece rank on your list of favorite manga?
Bellow Top 10
Well, you are in /OnePiece after all. So it's kinda obvious the manga is either your favorite or in your top 3. If it isn't your number 1, what series are better than One Piece for you?
Do you own One Piece Merchandise?
Those are some good numbers I would say, 55.8% of users have some merchandise and are probably supporting the series (depending on where you bought those) For the OTHERS answers given, some good ones are : autograph from dub VA of brook, Alvida pre devilfruit bodypillow, Chopper teddy bear, Sountracks, Custom made and 3D printed Keychain, Databook.
Subreddit Section :
Do you visit OnePiece mostly on mobile or on desktop?
Mobile or Apps
If you are using desktop, are you using the old version of reddit? Or the redesign?
It seems like most users are using Mobile and Apps, as well as the redesign on desktop, so it's probably time to pay more attention to that than to the old version, this way we can get banners/flair for users that are on the new version of reddit.
How often do you make : a submission on OnePiece?/Comment?/read the rules?
Very often (Daily)
Very often (Daily)
Check the rules :
Very often (Daily)
This really shows that there are a lot of lurkers on the subreddit. Most of you won't ever post or comment on the subreddit. With 8% of users creating submission and 25% commenting. As for the rules, there isn't any surprise since nearly every post respect the rules. (Only 1/5 of the post needs to be removed), so thank you to all of those that read them.
Content you enjoy the MOST/the LEAST.
Content you enjoy the most :
Media (Photo and Video)
So without surprise, people in this subreddit enjoy the Theories/discussions the most out of every type of post, it's then followed by the Fanarts. Which is good since like 75% of posts made are Discussion (50% total)/Fanarts (25% total). Content you enjoy the least:
Here there aren't any content that most users enjoy the least, but it still seems like users don't want to see that much Merchandise or Cosplay post. (Youtuber video are very rare) Also, a quick reminder, Discussion/Theories are mostly found by sorting by New. This is where you will see all of them, as it's hard for them to show up on the front page of the subreddit (but if it shows up on Hot, then it's a very good one).
Do you only use the subreddit for the Spoiler and Chapter Discussion thread?
It's nice to see that roughly 2/3 of the users are here for more than just the Spoilers and Chapter discussion. But there is still a huge part that only use the subreddit for that.
Do you want the spoilers gone from this subreddit?
As it was expected, Luffy is the Favorite Straw Hat for a lot of peopel, he's also the Straw Hat with the fewest "Least Favorite". After him Zoro is second favorite, followed by Sanji, Robin, Usopp, Brook, with the other Straw Hat having very few votes (and Nami having the Least "Favorite" Straw Hat.) After that, it seems like Chopper, Usopp, and Franky are the one people like the least out of the Straw Hat. I know it was a hard question for some of you, but the result are still interesting to know.
Which Strawhat has the saddest backstory?
The Straw Hats with the saddest backstory is Robin! Followed by Brook, then Sanji, Chopper and Nami.
What is your favorite Yonko crew?
So the favorite Emperor's crew are the Red Hair Pirate! Which is very impressive since we haven't seen much of them. I guess Oda better delivers when it come to see them in action after Wano.
Who is your favorite Admiral?
While Garp was only a Vice Admiral, he was put in the poll, and he won it! Whitout him, it's Aokiji that is the favorite, followed by Fujitora. Image 4
Who is your favorite Supernova (outside the Straw Hat)
Who else than the character that nearly managed to defeat Luffy in the 5 popularity poll? Law is the Favorite Supernova outside of the Straw Hat!
Which is your favourite canon arc in One Piece?
The Favorite Canon Story arc are (You could vote for more than 1) :
Which is your least favourite canon arc in One Piece?
The Least Favorite Canon Story arc are (You could vote for more than 1) :
Long Ring Long Land Arc
Favorite Cover Story?
Enel's Great Space Operations
From the Decks of the World : "The 500.000.000 Man Arc"
The Stories of the Self-Proclaimed Straw Hat Grand Fleet
Ace's Great Blackbeard Search
Straw Hat's Separation Seria
Character Design in One Piece :
Do you like the female character designs in One Piece?
I have no opinion.
Do you like the male character designs in One Piece?
I have no opinion.
It's true that Oda isn't the best when it comes to Female character design. However it seems like the majority of users don't have a problem with that.
Are fight a determining factor for your enjoyment of the series/arc?
Now this is rather surprising I must say. What do ou thing about this?
What is/are your (absolute) favourite aspect(s) of One Piece?
From the result we have, it seems like the World-Building is the favorite part of One Piece (With 88.6% of voters choosing this). It's followed by The Adventure (69%), The characterization (54.4%), the Inter-character relationship (49.4%), the Action (36%) and the Art Style (26.2%). And those result are obvious. Some of the most upvoted chapters of this subreddit are when we have huge world building moment, like 907 (Shanks talks to the Elders), or 957 (ULTIMATE).
On Par with Pre-TS
Better than Pre-TS
Worse than Pre-TS
This question is one of the most asked. With a lot of vocal voices saying that post TS is worse than Pre-TS. It's different for sure, but now we know how the community feels about that.
If you could eat a Devil Fruit, what type would you want?
Most people could choose to eat a Logia, and it seems like becoming a Furry is the lesser choice in this subreddit.
The Final Antagonist of One Piece will be :
With 48.5% it's Blackbeard! Really? That is surprising for me since it's obvious that Oda will make the SH fight against the World Government after they find the One Piece. And I honestly don't see Blackbeard being the final Antagonist because of that. So people who voted for this, what was your reasoning for it?
What is One Piece Biggest Flaw?
Some of the biggest flaws mentionned are :
The Lack of characters' death outside of Flashback
Which are all fair flaws to the series.
Random Questions about the Series :
As of Wano, is Jimbei stronger than Zoro?
Yes but Zoro will be stronger soon
I guess people really want Zoro to always be the second strongest no matter what... I expected this result, but I was still disappointed...
Was Zoro as strong as Luffy just after the timeskip?
I... Really? 31.5% said yes?
Will Sanji get laid by the end of the story?
Nearly the perfect split, and it's easy to see why it's very divisive. (Also shows that every vote counts).
Will Usopp be part of the 1 Billion Club by the end of the story?
The Straw Hats will go to Laugh Tales :
Before fighting the WG
After Fighting the WG
It's been hinted at a lot that the SH will go to Laugh Tales before taking on the WG. So for me it feels rather strange to have more than 1/4 voting for them reaching the final island after.
Who will be the one to defeat Kaido? (So give the last hit)
With 66.3% of the votes the one who will give the last hit to Kaido is : Luffy! Followed by 11.5% with someone else (that isn't Law/Kid/Zoro/Big Mom/Scabbard/Admiral) and 11% by one of the Scabbard. Zoro received 6.4% of the votes.
Who will be the first SH to realize their dream?
Most users believe that Usopp will be the first one to realize his dream! I also think the same as it's the easiest Dream to realize really. I could bet you it will happen in Elbaf. After that, we have Luffy and Robin, and it make sense since their dreams are linked. Both can be done once they reach Laugh Tales.
How many members will the crew have at the end? (With Luffy)
And most people want 11 members total in the crew! (With 28.6%), 27.5% wants 12 members, wile 19.8% want the crew to be complete right now with Jinbe.
Who do you think wins in a 1v1 : An Emperor or an Admiral?
If you are active on the subreddit, you know it's one of the question that creates the most discussion/arguments about. So it's nice to know the overall opinion of the subreddit on this question (Doesn't mean it's always correct mind you).
Is Mihawk emperor's level?
Also a very divisive question on this subreddit.
Is Aokiji emperor's level?
Is Akainu emperor's level?
So they fight for 10 days in a very close battle. With Akainu winning in the end, but after a long and hard fight. And one is Emperor's level while the other isn't? Really? I find that hard to understand.
If Oden was alive would he be stronger than Mihawk
How strong was Oden at the time of his death?
< Top 20
I like Oden, but sometimes I feel like people are overestimating him.
Who is stronger between Shanks and Mihawk?
This is also one of the question creating the most arguments on this subreddit, after all Mihawk is the World Strongest Swordman. But Shanks is an Emperor and became one after losing his arm.
Is Kaido stronger now that 20 years ago?
Yes, he's stronger
Had Ace survived, would Wano be liberated by now?
Could the Marines take on ALL the Yonko at the same time ?
Yes in Marineford only
2 at the same time
3 at the same time
This question is also linked to how you see the Emperor vs Admiral. So depending on which side you are on, you are more likely to pick Yes or No.
Which character do you want focus on next?
All very good choices, and all of them are character we have known for a long time without really knowing.
Will Blackbeard find the One Piece before Luffy?
How strong is Monkey D. Dragon?
< Top 10
Here, most people seems to think that Luffy's father, Garp's son is part of the strongest characters of the series. Oda better respond to our expectations then. As for his Bounty : Well, 31.6% think it will be more than 6 Billions and 28.1% think it will be between 5-6 billions. That remind me, I once made a poll asking people what Sabo's bounty would be (since we knew it was getting revealed in a magazine soon). So maybe I will do the same for Dragon? That could be nice.
Who is currently the strongest Emperor?
I wonder if the recent chapters made people change their perception on this...
What are the fights you would want to see?
Blackbeard vs Shanks
Garp vs Rocks
Garp vs Roger
Mihawk vs Shanks
Akainu vs Aokiji
How long do you think One Piece has left? (At a rate of 40 chapters a year)
Image 5. As you can see, most people think One Piece has at least 5 years left to go on. We will know Oda is terrible with respecting his own objectives. And this is good. The more One Piece the better.
On a scale from Spandam to Whitebeard/Roger, How strong is Im?
For this question, it seems like most people put Im at the same level as Whitebeard/Roger with 28.6% voting Im being there. I honestly don't know how strong I want Im to be.
What arcs, after Wano, do you want?
The arcs people want the most are :
The Final War
Red Hair Pirates
So arcs teased for years (Elbaf/Laugh Tales/Final War) and about character that people want to see (Vegapunk/Red Hair pirates).
How is Blackbeard able to use multiples Devil Fruits?
More than 1 soul
It's one of those question were people have very different opinion about. And right now there isn't really a major concensus in the fandom, even if the theory about it being related to the Yami Yami is more popular. In the Other catergory, there was the Cerberus Devil Fruit option, Blackbeard being a Triplet, him being actually 2+ kids in a trenchcoat, him being a failed Vegapunk experiment, having several stomachs him being pregnant (Stop reading fanfiction), him putting the power inside his rings, being a great guy and him being a cunt.
Haki is :
Image 6 Overall, People like Haki in the series, with a 4.38 out of 5!
How many arcs are left after Wano?
Image 7 Here, it seems like the answer for the community would be 4-5 arcs left. Which would then make (base don the How long One Piece has left), like a year per arc on average.
The final war of One Piece will be :
SH+RA vs WG+Marines vs BB
SH+RA vs WG+Marines
SH vs RA vs WG
I just don't see Blackbeard being in the final war, as my opinion is that he will be dealt with before it. For the other answers, there was Straw Hats vs Blackbeard Pirates, Family of D vs vs im sama, Total civil war in marines, Straw Hat vs Shanks, Straw hat vs Pound, Zoro vs World Goverment, Dugongs vs buggy.
Will Luffy die at the end of One Piece?
Will Luffy die?
An ending were Luffy died wouldn't be a good ending for me. He needs to survive and go on more adventures.
Are Shakky and Rayleigh Mihawk's parent?
Will the crew still be together at the end of the series?
Yes, they will keep going on adventure together.| 57.6% o, they will move on, like the Roger Pirates| 42.4% Like with Luffy living, I want the Crew to stay together, and sail together for many more adventures. I could see them taking breaks from time to time, but them staying together would be the best ending for me.
Can the Red Line be destroyed with Ancient Weapons?
What is the biggest mystery left to be revealed?
The most common answers were : The Void Century, the Will of D, Im, The One Piece, Joy Boy, Luffy's mother and Who is Pandaman?
What is the One Piece?
Here, there was plenty of : "No idea", The friends we made along the way, a Devil Fruit, Knowledge, Uranus, History, a book, my mom.
What sort of Devil Fruit do you want to see in the story?
The most common answer was : Water Logia! Followed by Wind Logia and people wanting more mythical Zoans.
What is the craziest theory you believe?
Here are a few of them :
Shanks is a Celestial Dragon
That Vegapunk is going to flip a switch in the Pacifista programming to fight the marines at the end.
Luffy's mom was a celestial dragon
Devil fruits are all artificial from the void century
That Finland doesn't exist
Zoro is going to get Rodger's disease
D's were the original Celestial Dragons
Weevil was made by Vegapunk using Whitebeard's cells and then was discarded until Bakkin picked him up
One of the Roger Pirates (probably Scopper Gaban) is on Laugh Tale waiting for whoever finds it, sort of like how Crocus and Rayleigh seem to be positioned to monitor rookie pirates
Onigashima is an Oarz like skeleton and Big Mom is gonna bring it to life.
The different races came from other planets/moons
Tama is a Kurozomi
Ussop is a descendant of Mont Blanc Nolan
Luffy hatched from an egg.
The fish that bit Shanks's arm off was Joyboy's pet
Bon chan is Kin'emon's son
Oda no longer draws the manga
bonney and ace having a child
That Perospero is going to help kill Big Mom.
Dragon being former Admiral
What are your favorites? And here it is, the 500K survey! Took me far too long to make, as I underestimated the time needed to sort the answer and create this post. Like damn. I hope you enjoyed it. The anwers for the Survey Saga will be up next in some time.
[OC] Punt Rank 2020: Week 5 - Brett Kern Appreciation Club, the continued painful existence of Kevin Huber, PUNTERS THROWING TDs and the birth of Air Townsend. All this and the best video highlights of the week...
Welcome back, Punt Fans, to your slightly later than usual but there's no Thursday Night Football so what else are you going to be doing edition of our weekly hunt for the King of Punt – it’s /NFL’s own Punt Rank. If you haven’t been here with me before, the concept is both simple and fantastically over-engineered. Lemme break it down: Each punter’s performance against five vital punting metrics is ranked against every other punter in the league. Those rankings are combined into a weighted average ranking – the 2020 NFL Punt Rank. Punt Heroes rise to the top; Punt Zeros sink to the bottom. Last week’s post and Week 4 standings are available here for the archivists, and all of this week’s stats analysis and highlights and lowlights in video form are just moments away. As always I’m excited to get your perspectives on your team’s punter, and you can point me to things that I may have missed or overlooked, so please hit me with your feedback and questions in the comments!
Brett Kern (TEN, +1 to #3). Eh what do you want to know. If you’re reading this it means you like punting. If you like punting, you know that Brett Kern is a really, really great punter. And, Q.E.D – Brett was demonstrably great against the Bills on (the other) TNF. His three punts this week for the no-longer-significantly-infectious-Titans pinned Josh Allen and his shorts at the 9, 9 and 3 yard lines – covering 86% of Average Available Field which is GOAT tier punting. Here’s the pick of the bunch (his 41 yard precisiobomb corralled at the 3 yard line by Chris Milton) covering 93% of Available Field, and measuring in 7.6 yards better than an average punt from the opposing 44 yard line. Tidy. In addition to his really really really great punting, the Kerninator also wrangled at least two uttely horrible snaps into decent holds for Gostkowski to continue his kicking renaissance tour, which is a majorly underrated part of the punter job description... Logan Cooke (JAX, +12 to #13). SPEAKING OF PUNTER HOLDS AND THE EFFECT IT HAS ON KICKERS. Now I’m not saying that Chef had anything to do with the end of Stephen Hauschka’s NFL career on Sunday (0 for 2 within less than two minutes at the end of the first half, not called upon again, then cut PDQ after the weekend), but then I’m not not saying that either. Luckily for Logan (shoot I think I used that joke last week as well) the punting element of his game was without such ugly question marks. 100% of his three punts ended inside the Houston 20 yard line, covering 73%, 83% and 89%of Available Field, sneaking him up to 13th overall. Now let’s see if he can hold onto it. Geddit? Hold?! Pah.
Bad Week for
Kevin Huber (CIN, -8 to #24). On a game where the Bengals only managed the paltry total of 12 first downs (an average of one, yes ONE first down on their 12 offensive drives), K-Hub’s Bad Day was at least somewhat salvaged by the first half holy trinity of Turnover on Downs, INT and Fumble on consecutive drives (2, 3 and 4 – if you’re counting). Without that magical offensive incompetence, he could have been looking at double figure punts (I see you, Tress Way in Washington). As it was, he escaped with just the seven (!), but he takes a slide in the Punt Rank rankings as two of those (admittedly 57 and 60 yard boots) snuck for touchbacks, taking his season touchback percentage total to 26.1% which is second last in the league, just behind Tommy Townsend (more on him later). None of the magnificent seven made it inside the 20, wiping 13% off his season long percentage. However, in Kev’s defence, the first of his two end-zone-botherers this week was another case of coulda woulda shoulda from his coverage team. Alex Erikson heroically made up all the ground to reach the ball as it took a hop into the end zone, but his flailing scoopitty-scoop only managed to floopitty-floop the ball into the wrong side of the pylon. Bengals bungle. Football is a game of inches, and those couple cost Kev. And, after last week’s feature in Egregious Touchback of the Week where basically exactly the same thing happened, it’s entirely possible that Kevin Huber is stuck in some kind of awful groundhog day based time loop. That would at least explain this instagram account. Ty Long (LAC, -5 to #23). Ty Long was the victim of the binary brain of Saints rookie receivereturnerobot automaton Marquez Callaway this week. In Marquez’s awesome little computer mind, he’s going: IF punt_catch_loc > 15THEN SELECTReturn_Like_CraycrayFROMReturn.Options ELSEFair_Catch_That_MF Unfortunately for Ty, six of his seven punts were outside that 15 yard threshold and the big red light on Robot Marquez's head went off like WOO WOO, and he went HAM on bringing those suckers back. 69 (nice) return yards on the day with a long of 19 wiped almost ten yards off Long's Gross Average for the day and left him at just 53% of Average Available Field covered. The Chargers have now leaked 149 return yards for the season which is second worst in the league (behind those irrepressibly awful Jets) and almost three times the league average of 56 through five weeks. Ty will be hoping that they can turn that around before… long. Sorry.
Punt of the week – Week 5
Corey Bojorquez (BUF) continues his wild oscillation between the sublime and the ridiculous. It’s an odd-week so I guess this week it’s Sublime Corey, whose 71 yard scud missile from his own ten yard line in the second quarter of this week’s edition of Tuesday Night Football Bought To You By COVID-19 was an astonishing 28.3 yards longer than my Expected Net Gain model for an average punt from that spot. Look at this baby fly! Bojorquez booms one.
Punters doin’ shit – Week 5
Hey, it’s Corey Bojorquez again! Guess he can do sublime AND ridiculous in a single week now. It’s Puntception. Corey’s first punt of the day was coming alllll the way back for 6 until he decided to put his face on the line to put an end to Kalif Raymond’s 40 yard return. BLOOF. Look at him putting on his cap all swag afterwards like yeah I blew that dude up… Yeah I think tackling with your head is good form? But that’s not all for Punters Doin’ Shit in Week 5, oh no. We have a bonus double edition! and I include this clip with great enjoyment but also great sadness. Gentlemen and Gentlemen (just being real here), this week Riley Dixon (NYG) threw a Touchdown pass! For Giants fans reading this is when someone on your team throws the ball into the big painted area at the end of the field and a player (also on your team) catches it. I know this sounds strange and unusual, but it can happen. And it did happen for Riley on this awesome fake field goal toss to Evan Engram, brilliantly narrated by the incomparable Tony Romo in the clip below. Seriously, this call is outstanding… Nobody look at me, doo doo do, you cant see me... Jim Nantz, don't talK to.. IM OPEN, THROW IT Unfortunately, the play itself was called back due to a player not lined up on the line of scrimmage and the Giants had to settle for a 50 yard field goal. For Chargers and Jags fans reading, this is when your kicker kicks the ball and it goes between the two big tall standy uppy line things. I know this sounds strange and unusual, but it can happen. No TD for Riley, but we have the memories…
Egregious touchback of the week – Week 5
I might start calling this the Kevin Huber Touchback Memorial Column, after ANOTHER narrow miss by the Bengals coverage left Kev high and dry this week against the Ravens (see Bad Week). Outside of that shambles, there were only 6 touchbacks on the other 102 punts in Week 5, and most of them were fairly ordinary so there isn’t much egregiousity (not a word but I’m going with it) to discuss. Instead today we’re going to take some time to appreciate Tommy Townsend (KC) who has apparently got some kind of nuclear powered leg and is playing a game called “look how far away I can kick a touchback from”. For those who haven’t been paying close attention, here’s how Tommy’s rookie season has gone so far in touchback terms. Week 1 – 44 yards, modest. Week 2 – 55 yards, expressive. Week 3 – only punted once so gave myself a week off from this. Week 4 – fucken LOLs this is, how about a 60 AND a 65! Week 5 –hold my beer… Oh my god Becky, look at this punt. 67 yards! SIXTY SEVEN! And that’s from the line of scrimmage - that sucker went almost EIGHTY YARDS in the AIR. It bounced at the two and I think the returner just never even saw it. He probably thought it went into orbit or something. Absolutely ludicrous distance and hangtime here from Tommy. And, thus, I think we have our new moniker for the lad: Air Townsend. Which is also funny because it sounds like hair and he has got long hair. I’m wasted doing this.
Future of Punt Rank: desperate data plea
So part of my data collection for this analysis used to come from the brilliant Pro Football Reference gameplay finder. Which, as of this week, appears to have been absorbed into Stathead. And they’re now charging $8 a month for access to these individual play description tables, which is a massive punt in the balls. Without this data, I’ve got no way to calculate Average Available Field coverage, no plus/minus performance against the Punt Expected Net Gain, and no data on punts inside the 5 and 10 yard lines – all of which come from that analysis of the individual punt plays. Whilst this data doesn’t feed the actual rankings (which come from free NFL.com data tables), they are all metrics that really help add context to the basic stats, and are things that people reading have commented on in the past and said they found interesting. So, if anyone knows of anywhere else where I can access and download these play descriptions for each individual punt (without manually sifting the ESPN play by play reports!!), then please please let me know in the comments below. Alternatively if the eight people who read this each wanna chip in a buck a month on an ongoing basis so we can pay Stathead then that’d be cool too. A sad day for punt stat fans to be sure. Fucken big corporate… And on that note, all that's left is to say I will see you again next week for a likely more analytically constrained but still enthusiastically trying my bestest edition of Punt Rank. Yours, Eyebrows.
Gentlemen, Ladies and those otherwise addressed - we know you've been waiting for a good thing, and the survey results are finally ready! The answers were collected from you all during August 2020 with 1428 unique replies. That's a participation of 0.5% of all subscribers! That's really not too bad, when you keep in mind how popular these kind of surveys are. But we here at /peloton want to show you that this is all about presenting the information in the subreddit to cater better to our audience! Updated after a few hours to include some more historical data the final edit that for some reason wasn't copied properly
Without further ado, let's get cracking on the response
You and Cycling
1. Where do you live?
Largely the same picture as ever, with the US leading the way, the UK in second and then a sliding scale of Europeans countries. Slovenia continues to pick its way up the pile for obvious reasons! World Map to demonstrate
2. What's your age?
Pretty much the same as last year, with the usual reddit demographics of majority 20 somethings dominating.
3. What's your gender?
More normality here for reddit.
4. How much of the men's season do you watch/follow?
March '18 (%)
August '18 (%)
WT Stage races
WT One day races
Non WT Stage races
Non WT One day races
Literally everything I can consume
Whilst GT following may be down (somehow), all the lower level stuff is up, which makes sense considering how desperate we have been for any racing during the season shutdown.
5. Do you maintain an interest in women's professional road racing?
Do you maintain an interest in women's professional road racing?
Still very much a half/half interest in women's cycling on the subreddit.
6. How much of the women's season do you follow?
The following is true for the half of you that follows womens cycling.
Just the biggest televised events
Most of the live televised/delayed coverage stuff
All televised racing
Down to .Pro & beyond
7. How long have you been watching cycling?
Under a year
25 years +
Simplified the years a little this time, but whilst we have a fair number of newbies, most people have picked the sport up since around 2013/14.
8. Do you have like/dislike feelings about WT teams?
Once more, 14.4% of people really don't have feelings on the subject. Of those that do:
So, the most popular team this year is Jumbo-Visma, followed by Quick-Step & Bora-hansgrohe. Least popular are Ineos & UAE. As per usual, no one cares about NTT & CCC, with nearly 81% of users rating NTT as meh. Pretty damning stuff. Lastly, we have the usual historical comparison of how teams have fared over time, normalised to respondents to that question on the survey. Things to note then, firstly that the Astana redemption arc is over, seeing them back in the negative, maybe Fulgsangs spring issues helped aid that? The petrodollar teams of UAE & Bahrain are stubbornly negative too, with Israel keeping up the Katusha negative streak. Meanwhile, at the top end, EF & Jumbo go from strength to strength, whilst some others like Sunweb are sliding over time - their transfer policies no doubt helping that.
10. Do you ride a bike regularly?
No, I don't
Still a fairly small group of racers out of all of us
11. Out of the sports you practice, is cycling your favourite?
A new addition to the survey prompted by a good point last time, just over half of us rate cycling as the favourite sport we actually do.
12. What other sports do you follow?
Association Football / Soccer
Track & Field
Esports (yes, this includes DotA)
Motorsports (Not including F1)
Football always tops the charts, and Formula 1 continues to rank extremely highly among our userbase. Those who have a little following below 5% include Sailing, Fencing, Surfing, Boxing & Ultra-Running. Other cycling disciplines
13. Out of the sports you follow, is cycling your favourite sport?
Good. Makes sense if you hang out here.
14. How often do you participate in a /Peloton Race Thread whilst watching a race?
I always participate in Race Threads during races
I follow Race Threads during races
I often participate in Race Threads during races
I rarely/never participate in Race Threads during races
Slightly less invested than before, reverting back to an older trade.
15. How do you watch Races?
Free Local TV
Desperately scrabbling for Youtube highlights
Paid Streaming services
Year on year, paid streaming services go up - the increasing availability of live content legally continues to improve, and so do the numbers on the survey.
16. Where else do you follow races live (in addition to watching them)?
We can safely say that most of us were wrong about this one. That's not a lot of confidence in Richie Porte either, the man who was to finish on the third spot of the podium. Alexander Foliforov (0,23%) had just a tiny number of votes less, and that man wasn't even in the race.
24. What for you was the defining cycling moment of the previous decade?
We had a lot of brilliant suggestions, but these were the clear five favourites when we tabulated the results.
2018 Giro - Chris Froome Solo Attack
2016 TDF - Chris Froome Running up Ventoux
2019 TDF - Landslides, First Columbian Winner, Pinot's bitter abandon - This was one race for the ages
2016 Paris-Roubaix - Mostly known for Tom Boonen losing. Also, some guy called Mat won.
2019 AGR - MvdP with his incredible catch-up for the win.
Honorable mentions go to the Giro 2018, which had Tom Dumoulin winning, and of almost identical fascination to many of you - Tom Dumoulin going on someones porta-potty in the middle of the stage. Little bit of recency bias perhaps, but that's better than ignoring that this was for the last decade and firmly insisting Tom Boonens 2005 WC win was the biggest thing. Special shoutout to almost all the Danes present in /peloton who voted for Mads Pedersens WC win last year. It's an understandable reaction.
25. Any suggestions for the Survey?
Could you add a section on rider popularity, same as for the teams?
Ask how people became interested in cycling
Ask how people watch cycling (e.g. TV Channels/Streaming etc.)
If you could be an animal for one day, which one would it be?
Would you wear a facemask while watching a cycling race live?
Which race do you look forward to see the most every year?
Favourite riders of your own country?
How many bikes do you own?
We promise to feature one of these suggestions in the next survey Suggestions
Always have a “no” or “not interested” option
We will try to implement this. But it will also skew results. About the Survey
More questions about womens cycling would be nice.
Less questions about womens cycling
The subscribers are torn on Women's cycling, nearly a 50/50 split there as the survey showed - The moderators at /peloton are firmly in the "more cycling is better" basket, and we will continue to get as good coverage of womens cycling as possible.
Are you trying to give the moderators PTSD? Because this is how you give the moderators PTSD.
26. Any suggestions for the sub?
More stationary fitness bike related content
ALSJFLKAJSLDKJAØLSJKD:M:CSAM)=#/()=#=/")¤=/)! - Your moderator seems to be out of function. Please stand by while we find you a new moderator
The Weekly threads are great for these types of questions, where several people can contribute and build up once it is understood which information is relevant.
Allow limited doping talk in result threads.
Our experience is that "limited" will never be so, if we're going to moderate it fairly. Moderating is not a popularity contest, but believe it or not, we're actually trying to be as fair as possible. and for that, we need rules that are not subjective. Unless you have a stationary exercise bike.
Written original content is always great - recaps, old race reviews or interesting rider bios, etc.
More non-race threads
Try and do some AMAs with pro cyclists, coaches, trainers, etc
All of these are good suggestions, but remember that all of you can also contribute - The mods are sometimes stretched thin, specially in the middle of hectic race schedules. It's easier if one of you has a way to contact a rider or a person of interest and can facilitate the initial communication.
Standardize major event thread titles for better search.
We've worked on this! The Official Standard is now as follows: [Race Thread] 202x Race Name – Stage X (Class)
A wiki that explains how races work. Roles of diff riders/support staff. History of racing.
This sounds as a nice community project for the after-season, and hopefully many of you subscribers can contribute.
Tidy up the sidebar!
Come with suggestions on how to tidy it up!
Don't assume everyone reading is a man, "thanks, bro". But that goes for all of Reddit. I know you can't fix that.
We have chastised all the mods. They are now perfectly trained in gender-neutral pronouns. Be well, fellow being.
Have a buy you a beer link for the mods for all the work you do.
If we can implement this for hard liquor, you know we will.
Remove the spoiler rule during grand tours. It kills the hype.
The spoiler rule is one that is discussed frequently - in general - some users absolutely hate it, but a majority love it. Perhaps we'll include a question in the next survey to see how this divide is exactly.
Lose the spoiler tag when it is for serious things; Lambrecht death, Jakobsen fall.
We actually do - whenever there is a matter of life or death, we think public information is more important than a spoiler rule. But at the same time, we try to collect all the different posts into one main thread, so to keep things focused and letting very speculative posts meet with hard evidence from other sources.
Less downvoting of opinions that differ from the fashionable consensus.
This is a tough ask of the internet. While we can agree that voting should be done accordingly to what insights they bring, not subjective opinions, it is very hard to turn that type of thinking around. We can ask of you, our subscribers, that you please think twice about hitting that downvote button, and only do so because of you think a post is factually incorrect, not because it differs with your own subjective opinion. That's the primary analysis of the survey! Feel free to contribute with how you experience things here!
No gods, no kings, only NOPE - or divining the future with options flows. [Part 3: Hedge Winding, Unwinding, and the NOPE]
Hello friends! We're on the last post of this series ("A Gentle Introduction to NOPE"), where we get to use all the Big Boy Concepts (TM) we've discussed in the prior posts and put them all together. Some words before we begin:
This post will be massively theoretical, in the sense that my own speculation and inferences will be largely peppered throughout the post. Are those speculations right? I think so, or I wouldn't be posting it, but they could also be incorrect.
I will briefly touch on using the NOPE this slide, but I will make a secondary post with much more interesting data and trends I've observed. This is primarily for explaining what NOPE is and why it potentially works, and what it potentially measures.
My advice before reading this is to glance at my prior posts, and either read those fully or at least make sure you understand the tl;drs: https://www.reddit.com/thecorporation/collection/27dc72ad-4e78-44cd-a788-811cd666e32a Depending on popular demand, I will also make a last-last post called FAQ, where I'll tabulate interesting questions you guys ask me in the comments! --- So a brief recap before we begin. Market Maker ("Mr. MM"): An individual or firm who makes money off the exchange fees and bid-ask spread for an asset, while usually trying to stay neutral about the direction the asset moves. Delta-gamma hedging: The process Mr. MM uses to stay neutral when selling you shitty OTM options, by buying/selling shares (usually) of the underlying as the price moves. Law of Surprise [Lily-ism]: Effectively, the expected profit of an options trade is zero for both the seller and the buyer. Random Walk: A special case of a deeper probability probability called a martingale, which basically models stocks or similar phenomena randomly moving every step they take (for stocks, roughly every millisecond). This is one of the most popular views of how stock prices move, especially on short timescales. Future Expected Payoff Function [Lily-ism]: This is some hidden function that every market participant has about an asset, which more or less models all the possible future probabilities/values of the assets to arrive at a "fair market price". This is a more generalized case of a pricing model like Black-Scholes, or DCF. Counter-party: The opposite side of your trade (if you sell an option, they buy it; if you buy an option, they sell it). Price decoherence ]Lily-ism]: A more generalized notion of IV Crush, price decoherence happens when instead of the FEPF changing gradually over time (price formation), the FEPF rapidly changes, due usually to new information being added to the system (e.g. Vermin Supreme winning the 2020 election). --- One of the most popular gambling events for option traders to play is earnings announcements, and I do owe the concept of NOPE to hypothesizing specifically about the behavior of stock prices at earnings. Much like a black hole in quantum mechanics, most conventional theories about how price should work rapidly break down briefly before, during, and after ER, and generally experienced traders tend to shy away from playing earnings, given their similar unpredictability. Before we start: what is NOPE? NOPE is a funny backronym from Net Options Pricing Effect, which in its most basic sense, measures the impact option delta has on the underlying price, as compared to share price. When I first started investigating NOPE, I called it OPE (options pricing effect), but NOPE sounds funnier. The formula for it is dead simple, but I also have no idea how to do LaTeX on reddit, so this is the best I have: https://preview.redd.it/ais37icfkwt51.png?width=826&format=png&auto=webp&s=3feb6960f15a336fa678e945d93b399a8e59bb49 Since I've already encountered this, put delta in this case is the absolute value (50 delta) to represent a put. If you represent put delta as a negative (the conventional way), do not subtract it; add it. To keep this simple for the non-mathematically minded: the NOPE today is equal to the weighted sum (weighted by volume) of the delta of every call minus the delta of every put for all options chains extending from today to infinity. Finally, we then divide that number by the # of shares traded today in the market session (ignoring pre-market and post-market, since options cannot trade during those times). Effectively, NOPE is a rough and dirty way to approximate the impact of delta-gamma hedging as a function of share volume, with us hand-waving the following factors:
To keep calculations simple, we assume that all counter-parties are hedged. This is obviously not true, especially for idiots who believe theta ganging is safe, but holds largely true especially for highly liquid tickers, or tickers will designated market makers (e.g. any ticker in the NASDAQ, for instance).
We assume that all hedging takes place via shares. For SPY and other products tracking the S&P, for instance, market makers can actually hedge via futures or other options. This has the benefit for large positions of not moving the underlying price, but still makes up a fairly small amount of hedges compared to shares.
Winding and Unwinding
I briefly touched on this in a past post, but two properties of NOPE seem to apply well to EER-like behavior (aka any binary catalyst event):
NOPE measures sentiment - In general, the options market is seen as better informed than share traders (e.g. insiders trade via options, because of leverage + easier to mask positions). Therefore, a heavy call/put skew is usually seen as a bullish sign, while the reverse is also true.
NOPE measures system stability
I'm not going to one-sentence explain #2, because why say in one sentence what I can write 1000 words on. In short, NOPE intends to measure sensitivity of the system (the ticker) to disruption. This makes sense, when you view it in the context of delta-gamma hedging. When we assume all counter-parties are hedged, this means an absolutely massive amount of shares get sold/purchased when the underlying price moves. This is because of the following: a) Assume I, Mr. MM sell 1000 call options for NKLA 25C 10/23 and 300 put options for NKLA 15p 10/23. I'm just going to make up deltas because it's too much effort to calculate them - 30 delta call, 20 delta put. This implies Mr. MM needs the following to delta hedge: (1000 call options * 30 shares to buy for each) [to balance out writing calls) - (300 put options * 20 shares to sell for each) = 24,000net shares Mr. MM needs to acquire to balance out his deltas/be fully neutral. b) This works well when NKLA is at $20. But what about when it hits $19 (because it only can go down, just like their trucks). Thanks to gamma, now we have to recompute the deltas, because they've changed for both the calls (they went down) and for the puts (they went up). Let's say to keep it simple that now my calls are 20 delta, and my puts are 30 delta. From the 24,000 net shares, Mr. MM has to now have: (1000 call options * 20 shares to have for each) - (300 put options * 30 shares to sell for each) = 11,000 shares. Therefore, with a $1 shift in price, now to hedge and be indifferent to direction, Mr. MM has to go from 24,000 shares to 11,000 shares, meaning he has to sell 13,000 shares ASAP, or take on increased risk. Now, you might be saying, "13,000 shares seems small. How would this disrupt the system?" (This process, by the way, is called hedge unwinding) It won't, in this example. But across thousands of MMs and millions of contracts, this can - especially in highly optioned tickers - make up a substantial fraction of the net flow of shares per day. And as we know from our desk example, the buying or selling of shares directly changes the price of the stock itself. This, by the way, is why the NOPE formula takes the shape it does. Some astute readers might notice it looks similar to GEX, which is not a coincidence. GEX however replaces daily volume with open interest, and measures gamma over delta, which I did not find good statistical evidence to support, especially for earnings. So, with our example above, why does NOPE measure system stability? We can assume for argument's sake that if someone buys a share of NKLA, they're fine with moderate price swings (+- $20 since it's NKLA, obviously), and in it for the long/medium haul. And in most cases this is fine - we can own stock and not worry about minor swings in price. But market makers can't* (they can, but it exposes them to risk), because of how delta works. In fact, for most institutional market makers, they have clearly defined delta limits by end of day, and even small price changes require them to rebalance their hedges. This over the whole market adds up to a lot shares moving, just to balance out your stupid Robinhood YOLOs. While there are some tricks (dark pools, block trades) to not impact the price of the underlying, the reality is that the more options contracts there are on a ticker, the more outsized influence it will have on the ticker's price. This can technically be exactly balanced, if option put delta is equal to option call delta, but never actually ends up being the case. And unlike shares traded, the shares representing the options are more unstable, meaning they will be sold/bought in response to small price shifts. And will end up magnifying those price shifts, accordingly.
NOPE and Earnings
So we have a new shiny indicator, NOPE. What does it actually mean and do? There's much literature going back to the 1980s that options markets do have some level of predictiveness towards earnings, which makes sense intuitively. Unlike shares markets, where you can continue to hold your share even if it dips 5%, in options you get access to expanded opportunity to make riches... and losses. An options trader betting on earnings is making a risky and therefore informed bet that he or she knows the outcome, versus a share trader who might be comfortable bagholding in the worst case scenario. As I've mentioned largely in comments on my prior posts, earnings is a special case because, unlike popular misconceptions, stocks do not go up and down solely due to analyst expectations being meet, beat, or missed. In fact, stock prices move according to the consensus market expectation, which is a function of all the participants' FEPF on that ticker. This is why the price moves so dramatically - even if a stock beats, it might not beat enough to justify the high price tag (FSLY); even if a stock misses, it might have spectacular guidance or maybe the market just was assuming it would go bankrupt instead. To look at the impact of NOPE and why it may play a role in post-earnings-announcement immediate price moves, let's review the following cases:
Stock Meets/Exceeds Market Expectations (aka price goes up) - In the general case, we would anticipate post-ER market participants value the stock at a higher price, pushing it up rapidly. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the positive move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worthless (due to price decoherence). This means that to stay delta neutral, market makers need to close out their sold/shorted shares, buying them, and pushing the stock price up. b) If NOPE is high positive - This means a ton of call buying, which means a lot of puts are now worthless (see a) but also a lot of calls are now worth more. This means that to stay delta neutral, market makers need to close out their sold/shorted shares AND also buy more shares to cover their calls, pushing the stock price up. 2) Stock Meets/Misses Market Expectations (aka price goes down)- Inversely to what I mentioned above, this should push to the stock price down, fairly immediately. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the negative move since: a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worth more, and a lot of calls are now worth less/worth less (due to price decoherence). This means that to stay delta neutral, market makers need to sell/short more shares, pushing the stock price down. b) If NOPE is high positive - This means a ton of call buying, which means a lot of calls are now worthless (see a) but also a lot of puts are now worth more. This means that to stay delta neutral, market makers need to sell even more shares to keep their calls and puts neutral, pushing the stock price down. --- Based on the above two cases, it should be a bit more clear why NOPE is a measure of sensitivity to system perturbation. While we previously discussed it in the context of magnifying directional move, the truth is it also provides a directional bias to our "random" walk. This is because given a price move in the direction predicted by NOPE, we expect it to be magnified, especially in situations of price decoherence. If a stock price goes up right after an ER report drops, even based on one participant deciding to value the stock higher, this provides a runaway reaction which boosts the stock price (due to hedging factors as well as other participants' behavior) and inures it to drops.
NOPE and NOPE_MAD
I'm going to gloss over this section because this is more statistical methods than anything interesting. In general, if you have enough data, I recommend using NOPE_MAD over NOPE. While NOPE in theory represents a "real" quantity (net option delta over net share delta), NOPE_MAD (the median absolute deviation of NOPE) does not. NOPE_MAD simply answecompare the following:
How exceptional is today's NOPE versus historic baseline (30 days prior)?
How do I compare two tickers' NOPEs effectively (since some tickers, like TSLA, have a baseline positive NOPE, because Elon memes)? In the initial stages, we used just a straight numerical threshold (let's say NOPE >= 20), but that quickly broke down. NOPE_MAD aims to detect anomalies, because anomalies in general give you tendies.
I might add the formula later in Mathenese, but simply put, to find NOPE_MAD you do the following:
Calculate today's NOPE score (this can be done end of day or intraday, with the true value being EOD of course)
Calculate the end of day NOPE scores on the ticker for the previous 30 trading days
Compute the median of the previous 30 trading days' NOPEs
Find today's deviation as compared to the MAD calculated by: [(today's NOPE) - (median NOPE of last 30 days)] / (median absolute deviation of last 30 days)
This is usually reported as sigma (σ), and has a few interesting properties:
The mean of NOPE_MAD for any ticker is almost exactly 0.
[Lily's Speculation's Speculation] NOPE_MAD acts like a spring, and has a tendency to reverse direction as a function of its magnitude. No proof on this yet, but exploring it!
Using the NOPE to predict ER
So the last section was a lot of words and theory, and a lot of what I'm mentioning here is empirically derived (aka I've tested it out, versus just blabbered). In general, the following holds true:
3 sigma NOPE_MAD tends to be "the threshold": For very low NOPE_MAD magnitudes (+- 1 sigma), it's effectively just noise, and directionality prediction is low, if not non-existent. It's not exactly like 3 sigma is a play and 2.9 sigma is not a play; NOPE_MAD accuracy increases as NOPE_MAD magnitude (either positive or negative) increases.
NOPE_MAD is only useful on highly optioned tickers: In general, I introduce another parameter for sifting through "candidate" ERs to play: option volume * 100/share volume. When this ends up over let's say 0.4, NOPE_MAD provides a fairly good window into predicting earnings behavior.
NOPE_MAD only predicts during the after-market/pre-market session: I also have no idea if this is true, but my hunch is that next day behavior is mostly random and driven by market movement versus earnings behavior. NOPE_MAD for now only predicts direction of price movements right between the release of the ER report (AH or PM) and the ending of that market session. This is why in general I recommend playing shares, not options for ER (since you can sell during the AH/PM).
NOPE_MAD only predicts direction of price movement: This isn't exactly true, but it's all I feel comfortable stating given the data I have. On observation of ~2700 data points of ER-ticker events since Mar 2019 (SPY 500), I only so far feel comfortable predicting whether stock price goes up (>0 percent difference) or down (<0 price difference). This is +1 for why I usually play with shares.
Some statistics: #0) As a baseline/null hypothesis, after ER on the SPY500 since Mar 2019, 50-51% price movements in the AH/PM are positive (>0) and ~46-47% are negative (<0). #1) For NOPE_MAD >= +3 sigma, roughly 68% of price movements are positive after earnings. #2) For NOPE_MAD <= -3 sigma, roughly 29% of price movements are positive after earnings. #3) When using a logistic model of only data including NOPE_MAD >= +3 sigma or NOPE_MAD <= -3 sigma, and option/share vol >= 0.4 (around 25% of all ERs observed), I was able to achieve 78% predictive accuracy on direction.
Like all models, NOPE is wrong, but perhaps useful. It's also fairly new (I started working on it around early August 2020), and in fact, my initial hypothesis was exactly incorrect (I thought the opposite would happen, actually). Similarly, as commenters have pointed out, the timeline of data I'm using is fairly compressed (since Mar 2019), and trends and models do change. In fact, I've noticed significantly lower accuracy since the coronavirus recession (when I measured it in early September), but I attribute this mostly to a smaller date range, more market volatility, and honestly, dumber option traders (~65% accuracy versus nearly 80%). My advice so far if you do play ER with the NOPE method is to use it as following:
Buy/short shares approximately right when the market closes before ER. Ideally even buying it right before the earnings report drops in the AH session is not a bad idea if you can.
Sell/buy to close said shares at the first sign of major weakness (e.g. if the NOPE predicted outcome is incorrect).
Sell/buy to close shares even if it is correct ideally before conference call, or by the end of the after-market/pre-market session.
Only play tickers with high NOPE as well as high option/share vol.
--- In my next post, which may be in a few days, I'll talk about potential use cases for SPY and intraday trends, but I wanted to make sure this wasn't like 7000 words by itself. Cheers. - Lily
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AMZN Trade Retrospective: Collecting a $.37 Credit for the Potential to Make Another $50
There are different ways to trade in a choppy environment. Here’s a deep dive on how I attempted to use weekly options to trade a potential bounce in AMZN, and collected $.37 initially, for the possibility of making $50 more, even though the trade ended up being only an $.81 winner.
Last Thursday, 9/24, when $AMZN was trading at about $3000 a share, I was looking for a cheap way to play a bounce in the stock. During that time, my bias in the markets had begun to shift to a more bullish stance after seeing how the market had difficulty grinding lower. With that in mind, I wanted to play a potential bounce in tech. But I knew I didn’t want to pay a debit at all to play for a bounce that might not even happen, given how uncertain and choppy the markets had been, but I still wanted to set myself up to capture some large gains if AMZN did indeed bounce. Therefore, the strategy that made the most sense to me, was a Call broken wing butterfly. Given that I’m a very short-term options trader who loves trading weeklies, I was trying to look for a cheap butterfly for the upcoming week that I could put on for a net credit. After exploring the options chain, I came across the +1/-2/+1 3300/3350/3450 call broken wing butterfly for the Oct 2 series. This fly, at the time (on Sept 24), was trading for a total of $.37 credit. Meaning, by putting on that butterfly, I would get paid $.37, and the following scenarios could happen:
If AMZN decided to tank or hang out sideways and never get up close enough to the butterfly to expand the spread in my favor, then I’d walk away pocketing the $.37 credit
If AMZN slowly crept up to reach exactly 3350 by expiration, I’d not only get to keep the credit, but also be able to sell the butterfly back out for $50. Of course, it doesn’t need to reach exactly 3350 by expiration. If AMZN slowly worked its way up to near 3300, then the butterfly would expand very nicely as well.
If AMZN blew past 3400 by expiration, I’d see a loss, up to a maximum of $50 / spread (if $AMZN moves past 3450). That’s because the 3300/3350 long call vertical of the fly provides 50 points of coverage before I essentially start losing money from the 3350/3450 short vertical, up until that 3450 kicks in to cap off further upside losses.
So that is a rough outline of the potential scenarios that would happen with this trade. Given the choppy market conditions, I was ok with risking $50/spread (point #3), in order to not lose money if I’m wrong on direction (point #1), while at the same time, keeping myself open to the possibility of the butterfly expanding in my favor (point #2) for some potentially very large gains. But satisfying point #3 is tricky. I needed more data points suggesting that $AMZN wouldn’t surge higher early on in the trade. Because if $AMZN did surge higher early on in the trade, then while the 3300 long call would rise in value, those two 3350 short calls would also rise in value, and because there’d still be some time value left, they could be very juiced up and eat away at the profits of that 3300 long call, so much so that the 3450 long call won’t even be able to offset those losses, especially given how far out of the money that 3450 call is. AMZN on 9/24, daily timeframe Looking at the chart above on 9/24, we can see that AMZN was trading at around $3000/share. In order to reach $3300 (where the first long call of the broken wing butterfly is), the stock would need to
Breach the 38% fib retracement (~AMZN=3131) of the move from the 9/2 high to the 9/21 low,
Breach the 20MA and 50MA
Breach the 50% fib retracement (~AMZN=3211)
Breach the 61.8% fib retracement (~AMZN=3292)
before finally reaching the 3300 long call. All of these levels, I felt, should provide some resistance for AMZN to have to chew thru over the following week, before it even gets to the long call. And by that time, if AMZN did reach 3300, then the 3300 long call would still have a lot of extrinsic value left (somewhere around $20 on the last day), while the 3350 short calls would be very cheap (each around $5), so the entire spread could be roughly worth $10. Which would be great, because that means I’d be getting paid $.37 to make another $10. So with all of the above considered, I chose to take on that upside risk, for a chance to make potentially $50 (realistically I try to aim for just half of the max profit: $25, and start harvesting profits and peeling off the flies at around $5-$10), and that day on 9/24, entered the Oct2 3300/3350/3450 call broken wing butterfly for a $.37 credit. After entry, on Friday 9/25 and Monday 9/28, AMZN made steady progress upwards, from 3000 to 3175, breaching the 31.8% retracement and tagging the 20MA and 50MA from below. AMZN on 9/28, daily timeframe but this move wasn’t large and fast enough to expand the value of the 3350 short calls. In fact, theta did a great job draining those short calls, while the 3300 long call did a good job retaining its premium, so the butterfly had already expanded a bit in my favor, and I was sitting at about a small $1.00 profit.
However, on Tuesday and Wednesday, AMZN began to stall out. By the end of Wednesday 9/30, when it looked like AMZN was putting in a topping tail, I decided that AMZN might not be able to make it near 3300 by expiration Friday, so I wanted to take in a bit more credit while I still could, before theta drained more of that 3300 long call. At the time, the spread was trading for almost $2. That’s when I made a slight adjustment to the spread and sold the 3300/3310 call vertical. AMZN on 9/30, daily timeframe This essentially rolled the 3300 long call up to 3310, and I was able to collect a small $.44 credit for it. However, this adjustment did open me up to an additional $10 of risk to the upside, because now, the long call vertical portion of the butterfly is only $40 wide (instead of $50). Still, with only 2 days left for AMZN to go higher, I felt comfortable taking on a bit more upside risk knowing that theta is going to be working hard to drain those 3350 short calls if AMZN did decide to surge higher. And at that moment, I actually wanted AMZN to move more towards my fly. My deltas were still positive, and the risk graph showed that a move towards the short strikes of the fly would expand it by another $4-5 by Thursday. So after this adjustment, the trade stood at a $.81 credit, and the profit potential on the fly was now $40 instead of $50. Which is still pretty good.
On Thursday, AMZN showed some strength and closed above the 50% fib (3211), which meant that if on Friday, AMZN worked its way up to around 3300, the fly could potentially be worth $5-10. Things were looking good (on any continued bullishness, the next target for AMZN was the 61.8% fib retracement at ~3300). So I left the trade alone without making any more adjustments. AMZN on 10/1, daily timeframe
Unfortunately, on Thursday night, news broke out that Trump was diagnosed with Coronavirus, and the market fell lower. By the open, AMZN was already trading at around 3150, roughly 150 points below the fly. The spread had instantly lost all of its value, so I basically let it expire worthless and walked away pocketing the $.81 credit. https://preview.redd.it/mpwrkjpk6xq51.png?width=4096&format=png&auto=webp&s=8dd7f4da7b000b2266ab57a3c23c1863f9423704 While the trade did not work out as well as I had liked, the important thing to note is that I was able to get paid even when the trade didn’t go in my favor. With options, there are ways to trade an underlying to a certain target without ponying up a debit, albeit at the cost of introducing tail risk, while offering the possibility of very large upside. This may be a style of trading that one can consider employing when the outlook of the markets is uncertain, as long as the trader is willing to make the necessary adjustments to control risk. Which leads me to the following section:
What if AMZN decided to surge very early on during the trade? What if AMZN had surged to 3300 with 4-5 DTE, hence juicing up the short calls and causing the butterfly to take on large negative deltas?
Even though the position would be very theta positive, I would pony up the debit to cap off the upside risk by buying the 3400/3450 call vertical, hence turning the 3300/3350/3450 broken wing butterfly into the 3300/3350/3400 balanced butterfly. From there on out until expiration, I would look for ways to reduce the debit incurred from that adjustment.
But what if AMZN tanked afterwards? You could end up getting whipsawed.
I’d rather be safe than sorry and make the necessary adjustments to avoid getting run over, because I don’t like playing the hope card. I could always undo the adjustment and look for ways to collect back more credit (at the cost of introducing risk elsewhere), depending on my new directional bias on AMZN at the time.
Your maximum loss is so large, $5000. I’d never make that bet, I would never risk $5000 to make $5000.
This style of trading is not for everyone. There are different ways to perceive risk. I don't really think of risk as binary as “max gain vs max loss”. If the trade goes against me, I’m not going to open myself up to the possibility of eating the maximum loss. I’m going to manage that risk and make sure that I don’t lose any money at all on the trade. Basically, I’m not going to just put on the trade, walk away to the prayer room, and come back at expiration and hope that AMZN expired at 3350.
Why not just join thetagang and slap on iron condors / credit spreads in this environment? You could’ve collected more credit by selling a 50 point wide put vertical with your bounce thesis.
Different traders have different styles. I personally don’t like pure premium selling strategies. I’d rather have long options in front of the shorts to open myself up for some large upside and convexity in the P/L curve, rather than limit myself to the concavity of pure premium selling strategies. Having long options in front of the shorts also helps me sleep better at night.
It’s hard to read this. Is there a more visual explanation?
Here’s a video on it: https://www.youtube.com/watch?v=8uq76fZ3EME TL;DR - I used weekly options to trade a potential bounce in AMZN, and got paid $.37 initially to do so, for the possibility of making $50 more. While the trade did not pan out, I walked away pocketing $.81 for being wrong.
RESULTS of the State of the Game Survey: September 2020
Hi all, It’s time for the results! Thank you to everyone who took the time to respond - we had over 1,750 responses, which is great! These insights wouldn’t be possible without your time and support. As always, neither myself nor this survey are associated with Intelligent Systems or Nintendo in any way. Please direct feedback about the game itself to the official channels. Now let’s get into it!
PreviousSurveyResults: April_2020_State_of_the_Game_Survey ~ Demographics ~ 53.8% began playing FE:H in February 2017, with 20.0% more joining during the first year of the game. 12.0% of respondents joined during the second year, 8.7% joined during the third, and 4.0% joined during the fourth year (the last ~7 months). The age range breakdown of respondents is as follows:
(2.6%) 12 – 15 years old
(15.0 %) 16 – 18 years old
(23.4 %) 19 – 21 years old
(21.8 %) 22 – 24 years old
(25.8 %) 25 – 30 years old
(8.2 %) 31 – 40 years old
(1.0 %) 40+ years old
75.8% of respondents identified as Male, 18.4% as Female, and 3.0% as Non-binary. 24.6% of respondents have never missed a daily login, while a further 38.8% have missed less than a month’s worth of logins, 11.7% missed 1-2 months, 9.9% missed 3-6 months, 5.8% missed 7-12 months, and 4.7% missed over a year’s worth. 33.5% report being F2P, while 28.7% have spent less than $100, 18.3% spent between $100 - $499, 7.3% spent between $500 - $999, and 8.7% have spent over $1000. 46.6% last spent money on FE:H during the fourth year of the game (the last 3 months), while 6.6% last spent money during the third year of the game, 5.8% last spent during the second year of the game, and 5.1% last spent money during the first year of the game. ~ Summoning ~ “Which of the following banners have you used orbs on at least once?”
~ Summoning Mechanics ~ 33.7% spent orbs on the Hero Fest banner AFTER Intelligent Systems announced how they would be compensating players for the Hero Fest banner glitch, compared to 61.7% who did not. 30.5% say that knowing about the compensation for the Hero Fest banner glitch caused them to spend more orbs on the banner than they would have otherwise, compared to 41.5% who say it did not. 28.0% did not spend orbs on the Hero Fest banner. 34.3% feel positively or very positively about the quality of 4* focuses on regular banners, compared to 26.9% who feel negatively or very negatively. 69.7% feel positively or very positively about the quality of 4* focuses on seasonal banners, compared to 7.8% who feel negatively or very negatively. 53.8% report that the system guaranteeing a free 5* after 40 summons generally makes them summon more, while 5.4% report that it generally makes them summon less and 36.1% report no change in their summoning habits on New Heroes banners. “If all New Heroes Banners used the permanent 40-summons-for-a-guaranteed-5* system that CYL4 used, how would your orb-spending habits on New Heroes banners change?”
(1.8%) I would spend fewer orbs than I did before
(22.3%) I would spend the same amount of orbs I usually do
(10.3%) I would spend more orbs than I did before
(62.2%) My spending would depend more on the Heroes offered
~ Choose Your Legends IV ~ “Which CYL4 Brave Heroes have you summoned, whether from the guaranteed choice banner or the regular banner?”
Of the summoning milestones on the CYL4 banner:
(20.2%) did not reach any of these summoning milestones
(79.7%) reached 40 summons
(41.0%) reached 80 summons
(19.8%) reached 120 summons
(11.1%) reached 160 summons
45.7% say that the free 5* hero at 40, 80, 120 and 160 summons caused them to spend more on CYL4 than they would have otherwise, while 50.3% say it did not. 22.8% say that the potential use of a new Brave Hero in future F2P Guides for content such as Hero Battles influenced their Brave Heroes summons, compared to 74.0% who say it did not. “If you could only get ONE of the new Brave Heroes, which one would you choose?”
“Which Brave Hero do you believe is the overall strongest?”
“Which Brave Hero do you believe is the overall weakest?”
“Which Brave Hero do you believe has the best art?”
“Which set of Brave Heroes is your favorite overall?”
23.6% feel positively or very positively about the addition of Jorge as the CYL4 GHB hero, compared to 33.0% who feel negatively or very negatively. 86.3% believe CYL5 should add further protections against vote botting, compared to 4.4% who do not. 70.1% believe CYL5 should require Nintendo Account sign-in to vote, compared to 12.6% who do not. ~ Feh Pass and Resplendent Heroes ~ 41.2% feel negatively about the addition of the Feh Pass (down 15.8% from the last survey), compared to 11.6% who feel positively (up 1.5% from the last survey). 46.1% are neutral (up 14.3% from the last survey). 40.2% have purchased the Feh Pass, compared to 59.8% who have not. This is a 9.5% increase compared to the last survey, following a 6.7% increase before that. Of those who have subscribed to Feh Pass, 17.4% have purchased Resplendent Heroes separately (up 12.9% from the last survey), compared to 82.6% who have not. “Which Resplendent Hero has your favorite art?”
“Which Resplendent outfit theme is your favorite?”
~ Miscellaneous ~ 15.8% feel positively about the introduction of Harmonized Heroes, compared to 31.3% who feel negatively. 29.5% have a Harmonized Hero, compared to 70.1% who do not. 14.6% feel positively or very positively about the Resonant Battles game mode, compared to 51.5% who feel negatively or very negatively. 4.6% say that the Resonant Battles game mode influenced them to pull for Harmonized Heroes, compared to 94.5% who say it has not. 34.8% believe the new Arena maps are better than the maps they replaced, while 7.4% believe they are worse, and 36.7% believe they are about the same. “How often do you use Auto Dispatch in Aether Raids?”
(34.3%) All of them, always
(0.2%) All of them, in Light Season
(3.6%) All of them, in Astra season
(24.3%) Only sometimes
(37.6%) I never use it
“IV Mango” is the preferred term for Trait Fruit according to 32.2% of respondents, followed by “IVcado” at 28.9%, “Fruit” at 7.6%, and “Dragonfruit” at 6.6%. The remaining 24.7% prefer to just call them Trait Fruit. 39.3% say they will use their first Trait Fruits on a Heroic Grails unit, while 32.9% say they will use them on a Summonable unit, and 1.3% say they will use them on an Askr unit. 58.7% prefer Stat Boosts for Legendary Heroes, compared to 26.3% who prefer Pair-Up. 56.5% generally prefer Regular Duo Heroes, compared to 8.8% who prefer Harmonized Duo Heroes. 1.8% say that the update that raised the minimum hardware/software required to play the game affected their ability to play FE:H, compared to 95.8% who say it did not. ~ Recurring Miscellaneous ~ “Which game do you want a New Heroes banner from the most?”
(26.0%) Three Houses (-1.9%)
(9.7%) Radiant Dawn (+0.5%)
(7.7%) Sacred Stones (+0.2%)
(7.5%) Awakening (-3.1%)
(6.4%) Genealogy of the Holy War (-1.3%)
(6.1%) Path of Radiance (-0.9%)
(6.0%) Gaiden / Shadows of Valentia (+2.7%)
(5.9%) TMS #FE (+1.9%)
(5.4%) Blazing Blade (+1.3%)
(5.0%) Fates (+1.0%)
(4.2%) Thracia 776 (+0.8%)
(2.4%) Binding Blade (+0.6%)
(0.8%) Shadow Dragon and the Blade of Light / Shadow Dragon (-1.0%)
(0.8%) Mystery of the Emblem / New Mystery of the Emblem (-1.1%)
“How much do you care about your rank in the following modes?”
(2.90/5.00 average) Arena
(2.82/5.00 average) Aether Raids
(2.48/5.00 average) PvE game modes with player ranking boards
(1.82/5.00 average) Arena Assault
“How have recent changes to FE:H changed your opinion on the game as a whole?”
(39.3%) My opinion was positive and has stayed positive
(5.7%) My opinion used to be negative, but has turned positive
(9.9%) My opinion used to be positive, but has turned negative
(5.1%) My opinion was negative and has stayed negative
~ Intelligent Systems Approval Ratings ~ The approval ratings are calculated by the proportion of Approve responses compared to the number of both Approve and Disapprove responses. Percent who approve of the way Intelligent Systems is handling:
74.6% - The addition of new heroes / characters to the game (+11.9)
69.4% - The gacha mechanics and summoning banners (+5.5)
59.2% - The story/plot (+9.4)
85.2% - Unranked PvE game modes (Hero Battles, Forging Bonds, Tactics Drills, Lost Lore, Hall of Forms) (-1.2)
50.7% - Ranked PvE game modes (Voting Gauntlets, Tempest Trials, Grand Conquest, Allegiance Battles, Rokkr Sieges, Mjolnir's Strike) (-2.6)
34.6% - Arena (-6.2)
48.0% - Arena Assault (+6.7)
45.8% - Aether Raids (+12.7)
40.5% believe Intelligent Systems cares about its Free to Play userbase (up 10.1% from the last survey), while 34.7% do not. This continues the upward trend from the previous survey, bringing us to 8.8% down from where we were before the February drop). 42.9% approve of the way Intelligent Systems is handling Fire Emblem: Heroes as a whole (up 14.8% from the last survey), while 16.9% disapprove. This continues the upward trend from the previous survey, bringing us to only 2.5% down from where we were before the February drop).
A NOTE ABOUT METHODOLOGY: The overall approval ratings question above has traditionally been the exact percent of Approve responses, as a proportion with both Neutral and Disapprove responses. Note that this is different than the way approval is calculated for individual modes (the proportion of Approve responses compared to the number of both Approve and Disapprove responses), where Neutral responses are excluded. The difference in calculation has continued this way in order to maintain comparability with previous survey results. For comparisons sake, the overall approval rating trend going by raw Approval percentage over the last 4 surveys is: 50.6% (Dec) -> 22.9% (Feb) -> 28.1% (Apr) -> 42.9% (Sept) Whereas the overall approval rating trend going by proportion of Approve/Disapprove with the Neutrals excluded over the last 4 surveys is: 82.2% (Dec) -> 41.0% (Feb) -> 51.3% (Apr) -> 71.7% (Sept).
~ Bonus Questions ~ “Who is your Favorite Hero added since the last survey?”
Dimitri (Brave) is the winner, followed by Edelgard (Brave), then Claude (Brave).
“What would be the best Harmonized Hero (a pair of two heroes from different games) and why?”: Rather than selecting a subset of responses this time, the link below is to a google sheet of almost all unique responses. I cleaned it up a little bit to remove “idk” type answers, duplicates, and partial string duplicates, so don’t worry if you don’t see your exact response in it. [Full Responses]. ~ Feedback ~ As always, I received lots of great feedback, both in your survey responses and in the thread itself. A heartfelt thank you to all participants for your encouragements and criticisms - these surveys wouldn’t be where they are without your feedback. But it’s not all serious; feedback messages also included:
“There once was a CYL4 banner / That hit my orbs hard like a hammer / The very next day / FloomMom Duo came our way / Now I'm stuck bartering with a loan planner”
“bonk, go to survey jail”
“Am I also allowed to put in "Norne and Azura" for a Harmonized Hero pair? No reason.”
“Brace yourself. Winter (armours) are coming!” “Brave Hector's refine has made me so very happy with it's inclusion. Go shove your bow up your butt Legendary Chrom.”
“Give me villager alts or give me death”
“I expect the next survey to come with +12 to attack, null follow up, and special cooldown reduction.”
“The true best Harmonized Hero would be Azura and Roy since it would make me uninstall the game and never want to play a gacha ever again”
“My headcanon for the dream storyline is that the evil fairies have the Summoner off picking up pebbles that look like orbs. Fredrickson would be proud.”
“Where's the most wanted unit to add to the game question so I can shout my want for Seteth into the void?”
“I no longer dab, for Legendary Seliph has finally appeared.”
And greetings from Argentina, the Bahamas, Brazil, Chile, Colombia, Finland, Germany, Greece, Hong Kong, Ireland, Russia, South Korea, Sweden, the UK, Vietnam, the Pacific Northwest, Alaska, Toronto, and St. Louis, as well as from many fictional locations!
And some personal/meta comments:
“Any chance we end up seeing another Super Serious Survey in the not-so-distant future?” -> I could not believe it’s been over a year since the last one! We’ll have to do one soon!
“Feels like the end of an era, not having to count all my five stars” -> I know, right? I may have it return in a side survey for the most hardcore of respondents at some point, since some people are asking about it and it would be good to get data on it every once in a while.
“I was looking through your Nornes skills and saw you haven't given her live for bounty yet! It's the best skill for her, what are you doing!?” -> I am a fraud :( I have given her Live for Honor though :P
“What do you hope for in FEH?” -> Norne alt, Resplendent Jaffar, and Shamir
Multiple people mentioned that they had returned after a long break and were surprised to see Norne instead of Azura! Welcome back!
I also missed a bunch of other possible Trait Fruit nicknames, which I knew would inevitably happen. Sorry!
Note: Please don’t ask me to feature your feedback comment; it’s the only guaranteed way to not have your comment added! Finally, the suggestion to have separate options for serious vs non-serious feedback was a good idea, I’ll try that out on the next survey! ~ Closing Remarks ~ If you missed out on responding to this survey when it was available, consider subscribing to FEHSurveys. This subreddit serves as a place to organize FE:H-related surveys, make new releases more visible, and make it easier for users to see when surveys are active. Thanks again to everyone who participated! I hope you find the results interesting, and if there’s anything else you think can be discovered from the data, let me know and I’ll do my best to oblige!
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