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mortal-sarah · 6 months
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Bridge Theatre/National Theatre “A Midsummer Night’s Dream” cast being talented as hell and having fun
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Broadway Divas Tournament: Poll Results
Round 1A: Debra Monk vs. Kate Baldwin (61 to 48) Carolee Carmello vs. Julie White (73 to 35) Laura Linney vs. Katie Finneran (91 to 36) Audra McDonald vs. Rebecca Luker (146 to 23) Jan Maxwell vs. Jayne Houdyshell (50 to 55) Stephanie J. Block vs. Cherry Jones (81 to 79) Janet McTeer vs. Brenda Braxton (50 to 53) Paula Leggett Chase vs. Patricia Clarkson (55 to 54)
Round 1B: Lea Salonga vs. Christine Baranski (188 to 216) Emily Skinner vs. Judy Kuhn (25 to 128) Susan Blackwell vs. Harriet Harris (33 to 63) Carmen Cusack vs. Vanessa Williams (54 to 47) Beth Leavel vs. Donna Murphy (27 to 147) Andrea Burns vs. Mary Beth Peil (41 to 82) Judith Light vs. Tonya Pinkins (77 to 62) Karen Ziemba vs. Marin Mazzie (19 to 107)
Round 1C: Bebe Neuwirth vs. Laurie Metcalf (116 to 20) Veanne Cox vs. Charlotte d'Amboise (37 to 44) Mary Testa vs. Betty Buckley (33 to 55) Kerry O'Malley vs. Joanna Gleason (16 to 91) Anika Noni Rose vs. Dee Hoty (82 to 19) Tyne Daly vs. Katrina Lenk (61 to 36) Linda Emond vs. Jennifer Simard (45 to 34) LaChanze vs. Ann Harada (40 to 35)
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gwendolynlerman · 2 years
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Mid-year book tag
Thank you so much for tagging me, @fluencylevelfrench! 💜
Amount of books you've read so far: 19
Best book you’ve read so far in 2022: Atlas der verlorenen Sprachen by Rita Mielke
Best sequel you’ve read so far in 2022: El dominio mundial: Elementos del poder y claves geopolíticas by Pedro Baños Bajo
New release you haven’t read yet but want to: House of Sky and Breath by Sarah J. Maas (Although I haven’t yet read the first part.)
Most anticipated release for the second half of the year: A Court of Thorns and Roses #5 by Sarah J. Maas (Although it is not confirmed that it will be released this year 😕)
Biggest surprise favorite new author (debut or new to you): I loved John McWhorter’s Our Magnificent Bastard Tongue: The Untold History of English and can’t wait to read something else by him.
Newest fictional crush: None, I’ve mainly been reading nonfiction.
Book that made you cry: Cien años de soledad by Gabriel García Márquez made me drop a tear.
Book that made you happy: Linguistics for Dummies by Rose-Marie Dechaine, Strang Burton, and Eric Vatikiotis-Bateson
Most beautiful book you’ve bought so far this year (or received): Lonely Planet’s Guide to Life by Lonely Planet (I got it for Christmas.)
What books do you need to read by the end of the year? I need to read 40 books (besides the one I’m currently reading) to meet my Goodreads goal. According to my TBR list, they are the following:
Fifty Inventions That Shaped the Modern Economy by Tim Harford
Gefährlicher Einkauf by Volker Borbein
Language Families of the World by John McWhorter
The Third Pillar: How Markets and the State Leave the Community Behind by Raghuram G. Rajan
Grenzverkehr am Bodensee by Felix & Theo
Why I’m No Longer Talking to White People About Race by Reni Eddo-Lodge
Dermo!: The Real Russian Tolstoy Never Used by Edward Topol
Language Interrupted: Signs of Non-Native Acquisition in Standard Language Grammars by John McWhorter
The Importance of Being Earnest by Oscar Wilde
Dirty Russian: Everyday Slang from “What’s Up” to “F*%# Off!” by Erin Coyne
Predicting New Words: The Secrets of Their Success by Allan Metcalf
Jeder ist käuflich by Marie-Claire Lohéac-Wieders
Pop Culture Russia!: Media, Arts, and Lifestyle by Birgit Beumers
Ukraine in Conflict: An Analytical Chronicle by David R. Marples
Kalt erwischt in Hamburg by Cordula Schurig
Brave New World by Aldous Huxley
Lea? Nein danke! by Franz Specht
Shady Characters: The Secret Life of Punctuation, Symbols & Other Typographical Marks by Keith Houston
Liebe bis in den Tod by Christian Baumgarten
Streetwise Russian: Speak and Understand Everyday Russian by Jack Franke
Mord auf dem Golfplatz by Felix & Theo
How to Save Your Planet One Object at a Time by Tara Shine
A Darker Shade of Magic by V.E. Schwab
Sicher ist nur eins by Franz Specht
A Gathering of Shadows by V.E. Schwab
Tödlicher Irrtum by Volker Borbein
A Conjuring of Light by V.E. Schwab
Siegfrieds Tod by Franz Specht
The Secret Life of Bees by Sue Monk Kidd
Tatort Frankfurt by Felix & Theo
Mrs. Dalloway by Virginia Woolf
Tod in der Oper by Volker Borbein
Children of Blood and Bone by Tomi Adeyemi
Tödlicher Cocktail by Volker Borbein
Children of Virtue and Vengeance by Tomi Adeyemi
Till Eulenspiegel byErich Kästner
My Fourth Time, We Drowned by Sally Hayden
Flame in the Mist by Renée Ahdieh
Tödlicher Schnee by Felix & Theo
I Am Malala: The Story of the Girl Who Stood Up for Education and Was Shot by the Taliban by Malala Yousafzai
I’m tagging @guillemelgat and @tealingual (if they want to) :)
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Since Jan 2020, your payment to Sweaty Mama Stroud and Cirencester, £1 has donated to Rushton Dog Rescue.
A MASSIVE THANK YOU to all the Mamas who renewed, our Monthly Mamas and new signed up.
THANK YOU FOR SAVING DOGS FROM MEAT TRADE.
Our Aug 2023 🐕 donation to Rushton Dog Rescue 🌺
On behalf of Rushton Dog Rescue and the 🐾, they Woof Woof their thanks to you. ❤️
Nyssa Hartin
Anna Jones
Hester Bullock
Grace Harrison
Grace Sharp
Rosie Jheeta
Maggie Kilbey
Alice Studd
Xenia Shevchenko
Georgina Riches
Alexandra Boyle
Alisa Holt
Lyndsey Robinson
Tania Walker
Zoe Monk
Zoe Leah
Katy Costigan
Helena Metcalfe
Tabitha Webb
Jessica Arthurs
Sophie Bell
Spasija Speak
Jade Gwilliam
Pru Foley
Natalie Eaton
Jennifer Leman
Laura Webb
Alice Ingledew
Hannah Neale
Kimberley Willett
Hannah Thompson
Emma Ramsay
You can make donation again via -
PayPal - http://paypal.me/RushtonDogRescue
Bank details-
Name- Rushton dog rescue
Account number- 65399196
Sort code- 08 92 99
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nancylou444 · 3 years
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@deanscarlett It's Sheldon's mom with a worse wig than Jared's. 😁
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jackbatchelor3 · 5 years
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‘I’m not about to ruin Harry’s life.’ - Mercedes McQueen
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myhauntedsalem · 5 years
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Wymering Manor Portsmouth, England
It’s steep history and active paranormal happenings make Wymering Manor the winner of this year’s Most Spooky House award. Known as Britain’s most haunted house, the Manor is supposedly home to upwards of 18 ghosts. In fact the home, which was up for sale since 2006, was eventually given away by the City Council to the Wymering Manor Trust in 2013 since the home was seen by potential home-buyers as too haunted to inhabit.
Wymering Manor is the oldest building in Portsmouth. The land that it was built on was once the site of an ancient Roman settlement. The original building was eventually built in 1048 when it was owned by King Edward the Confessor. In 1084 the home was owned by King William the Conqueror after the Battle of Hastings. During the 16th century the house underwent new construction. Although most of the Manor today dates back to the 16th century, there are still parts that feature its original Saxon and Roman materials. In more recent times, the home was turned into a country house, used by the army during WWII, and served as a YHA Hostel.
With all of its history, it is perhaps of little surprise that the home is extremely haunted. There have been countless reports of hauntings, as well as numerous legends surrounding the building, over the years. During the early 1900’s the owner of the time, Thomas Parr, woke up one night to see his deceased cousin’s spirit standing at the foot of his bed. After talking to Thomas about other members of the family, who were also deceased, she told him goodbye. Before fading away she said that the deceased family was getting ready to “greet their Aunt Em.” The next morning Parr received a telegram stating that his Aunt Em had died during the night.
Another relative of Thomas Parr who visited the manor used to keep her bedroom door locked at night while she slept due to a fear of burglar’s. Upon waking up one morning she was astonished to see that her door was unlocked and wide open.
Then next owner, Leonard Metcalf, had several strange occurrences while he lived at the Manor. Metcalf’s room used to be in the “Paneled Room,” which is one of the homes most feared rooms. One day while Metcalf was using the washbasin, he felt a hand place itself upon his shoulder. Quickly turning, he was shocked to find that no one was standing there. Others who have visited the home have felt that the atmosphere is oppressive. Many people felt fear surrounding the room, and had a powerful urge to run out of its doors.
Other than his experience in the Paneled Room, Leonard Metcalf would also occasionally see a choir of nuns crossing the Manor’s hall at midnight. Each of the nuns would be chanting to music that could clearly be heard. Leonard could never understand why he would see the nuns, and he could never get his family to believe him. Although he never knew it, it was eventually discovered that the Sisterhood of Saint Mary the Virgin had visited the house in the mid-1800s.
The ghostly choir of nuns is not the only nun sightings in the home. Outside of the Manor’s small attic bedroom, directly above the Paneled Room, the spirit of a nun with hands dripping with blood can be seen peering down the staircase leading to the attic. Some believe that the attic was where abortions for illegal pregnancies between monks and nuns were held before the infant bodies were later buried in the garden.
Another spirit seen at Wymering Manor is that of Sir Francis Austen, a distinguished Naval officer and brother of the famous novelist, Jane Austen. He was at one point the churchwarden of St. Peter and St. Paul, so he may have visited the Manor when the manor was a vicarage. After his passing, he was buried in a nearby churchyard of the Wymering Manor Church. Now it is believed that he haunts Wymering. One paranormal investigation group caught the figure of a tall man walking around whom they believed to be Sir Francis Austen.
The Legend of Reckless Roddy also surrounds Wymering Manor. According to legend, during the Middle Ages a newlywed couple came to the Manor. However, the husband was soon called away and the bride was left alone. Upon hearing this, Sir Roderick of Portchester, AKA Reckless Roddy, went to Wymering to try and seduce the young woman. The husband then returned home unexpectedly, chased Roddy out of the house, and killed him as he attempted to mount his horse. Now legend states that whenever a newly married couple comes to stay at the Manor, they will hear the sound of Reckless Roddy’s Horse galloping down the Lane. Despite not being aware of the legend, Leonard Metcalf and his new wife, sometime right after their marriage, were awakened by the sound of a horse galloping down the lane. Mr. E. Jones, the warden of the youth hostel, also reported hearing a horse galloping around the manor at night, although he was not newly married.
Finally, other than specific spirits inhabiting the home, both visitors and paranormal investigators have felt cold spots, heard disembodied voices, a piano playing, a baby crying, and sounds of children laughing. Apparitions of men and women can be seen descending the manor’s staircases, and poltergeist activity has also been reported.
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lotrewrite · 6 years
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LOT Chat Summaries (Sep-Oct)
Sorry this took so long! Find below the LOT Chat Summaries for the chats held on 16 September and 1 October. Includes the song recs and fanfic/fanart etc moments we’d like to see, as mentioned in the chats :-)
Episode 1
A gifset of Kendra flying, a flashback to a sepia-toned image, and then her saying “not another flashback
Gifset of Kendra saying she dumped Carter
One with Mick and Nate, with nate realising he’s travelling on his own
Something of Nate waving his pencil in Oliver’s face and complaining about his thesis
Run Boy Run by Woodkid
Don’t Let ‘Em Grind You Down by motörhead for Nate
Dust in the Wind by Kansas for Mick
Centuries by FOB just in general
Do it like a Dude for Queen Bee
Europa - Globus should be for WWII
40s music! There’s Torched Song from the L.A. Noire soundtrack and it’s so good for Mick
You Turn Me Right Round for the Lichtenstein anomaly Hello by Adele for Coldwave
Postmodern Jukebox
for the 40s in France music, there should definitely be Le Temps des Cerises
Legendary by Welshly Arms for the rewrite in general
Welshly Arms - Legendary for the whole season 
"Look What you made me do” theme for the Legion
 Our Corner of the Universe by KS Rhoads for Team Legends
 https://www.youtube.com/watch?v=yjiupe-odRQ Goldberg Variations
“Sexual Healing” for Queen Anne/Sara…
“House of Memories” by Panic at the Disco for 2 or 3
way to the future by kate herzig
Episode 2
Bambi
Bambi and Ray eating together
Ratigan riding bambi at one point
Bambi meeting Ratigan
Bambi in the remains of the other raptors
Ratigan standing on Bambis head, pointing one paw: ONWARDS, Waverider in the background, Ray and Mick screaming of screen “Come back you little shits!”, “Join the Legends of Tomorrow” text above, “Save the Timeline” underneath, think like an old style Soviet propaganda poster, Waverider in the background, Ratigan and Bambi up front, “Join the Legends of Tomorrow” text above, “Save the Timeline” underneath
Coldwave song idea- Whispers by Dave Baxter)
Angel with a shotgun (for song choices)
gregorian monks chanting modern songs?
Pull the monks from Monty Python
For Ray: “I’ve Got a Lovely Bunch of Coconuts”
Gregorian version of “Boulevard of Broken Dreams”
“I walk a lonely road” = Ray having a moment
We are the monks from the Galavant soundtrack
I’m a different kind of princess from the galavant soundtrack for Sara
Mick telling Jax to fly because he’s already had whiskey
Jax and Stein in the infirmary
More of Kendra’s incarnation’s story
Hotblooded for Mick
Fireball
arsonist’s lullaby
Sir Patrick Stewart played the Lionheart once
coldwave - fate don’t know you by desi valentine
a version of friar tuck as one of the monks 
Jurassic Park theme
Jon Bernthal’s character would be good for Peter
“Istanbul not Constantinople” by They Might Be Giants
“Jerusalem of Gold” by Ofra Haza
“Lanercost” by Steeleye Span
Episode 3
Ginnifer Goodwin as Nancy wake?
Melanie Lynskey for Nancy
Amaya and Sara’s conversations
The moment where Nate shouts “NANCY WAKE?!?”
le temps des cerises europa
fanart of that fight scene with everyone
Edith Piaf
Europa by Globus
“Le Temps des Cerises”
“La Vie En Rose” by Edith Piaf
In the Mood" by Glen Miller
la marsaillaise by edith piaf
The jukebox version of Seven Nation Army
Sentimental Journey by Doris Day for Amaya
Cover of paper planes done in a '40s style by jukebox
Hitler Has Only Got One Ball to the Colonel Bogey’s March
Nancy Wake’s song is Witness by Mindless Self Indulgence 
Episode 4
Watch Your Back by Sam Tinnesz for the second half with Eobard
Fanart of the moment Eo brings back Laurel
Sara and Laurel in the med bay
Pink Floyd’s Another Brick in the Wall, possibly some ominous cover version, for the villains’ evil wall related schemes
Sara and Eobard drinking together
Every Breath You Take by Chase Holfeder. He does great minor covers of songs in major keys
99 Luftballoons by Nena
Something with Stein giving Marty his talking to, in the middle of the crowds in Berlin
Kim Weston – You hit Me Where It Hurts
The Ramones – Never Should Have Opened That Door
It’s So Easy when you’re evil
Rotten to the Core Disney movie descendants
When You’re Evil" by Voltaire for the Legion
Episode 5
Faroese Valravn or German Faun’s music
Mick Rory with the viking horns
Lisa
Wagner
Gunlod singing at the battle
ride of the valkyries
Looking too Closely by Fink for the end
Faun’s Walpurgisnacht would fit
fanart (gifset if possible) of Jax and Gunlod, being all flirty
Valravn has a version of Drømte mig en drøm
Jakob Oftebro for King Sweyn
Never Forget by Greta Salome
the fires
Mick headbutting the viking with his horned helmet
Paprika Steen or Hella Joof for Adisla
everybody talking to Lisa about their memories of Len, like one of those pics, with the bonfire and everyone around it, in the centre of the page, and then everyone’s memories in a circle around it
Eivør Pálsdóttir for Gunlød
“For the Love of a Princess "James Horner https://youtu.be/fckH2P0KK14
Episode 6
Uh, all of it
fancasts for our robot gangster
brent spiner
THE VOICE OF K2-SO whatshisname
Alan Tudyk
James Spader
we should just have ALL the famous robot actors hanging out
C3PO too
R2D2 and BB8
something frank sinatra
mission impossible theme
Robot Parade
"Mr Roboto”
A mix of Mission Impossible and the LoT theme
There’s a french revolution documentary with a song called rise of robespierre that sounds very steampunk and mechanical
Mick in his fireman clothes
the song from anything goes where she’s singing about her gangsters
Lisa kneeing Ray in the balls? like, I love Ray
like, every moment of lisa
“Weird Science” for the Stein/Dr Metcalf argument by Oingo Bongo
The Last of the Real Ones by FOB
Episode 7
Cisco getting thumbs up from Felicity and Winn when Lisa winks at him as she’s walking off
X-files theme somewhere along the way
seven nation army the original version would be good there
“Space Girl” for all the girls
salute by little mix for the girls
“Science Fiction Double Feature”
Episode 8
it’s a kind of magic
Lupita Nyong'o for Queen Bee
Magic Man" by Heart
Angela Basset
Taraji P Henson
viola davis
jada pinkett smith
Constantine interacting with the Legends
Something with the legends standing outside Zatanna’s place, looking frustrated at her “I’m not here” sign
Episode 9
Mick and Georgie, anything and everything with them
Is Anybody There from 1776
One of those things that fly across your dash with Ray and his rocket boot
Battle of Yorktown
fanart of that first confrontation when they meet Rip for the first time
Fanart of Washington’s ridiculous height
Georgie and Mick towering over everyone
Sara realising she just knocked back Martha’s eggnog and is actually talking to George Washington
Joke suggestion for Rip: I knew you were trouble, Taylor Swift
For Georgie storyarc, the Too Late to Apologize cover
mama look sharp from 1776
for Mick and Len and the hallucination arc, “Drumming Song” Florence and the Machine
“White Rabbit” Jefferson Airplane for Ray’s shrinking arc
 "The Battle of New Orleans"
Episode 10
black sails intro
pirates OST
Ray’s costume trials need “Sharp dressed man”
There’s a lovely cover by Jo Dee Messina
“Yo Ho A Pirate’s Life for Me”
Wolves of the Sea by Pirates of the Sea, the Eurovision version
Assassin’s Creed Black Flag music
I’m a Modern Major General for Stein in disguise
Heroes by Måns Zelmerlöw for the legends at some point in some episode
Ray’s montage fanart
something from crouching tiger hidden dragon maybe
Ray dressing as blue beetle and everyone looking thoroughly unimpressed
Ray trying to be Cold, and Mick of taking back the cold gun
Mick and Ray arguing about pirates vs ninjas and Len in the back, very very frustrated
Fanart of what would happen if Len COULD change outfits at will, mick looks over and has to try not laughing if len could change outfits, Len shows up in a terrible pirate outfit, Mick spit-takes, Ray says “we have to re-shoot that”, Sara (from offscreen): “Where did you even GET that?”
Ming-Na Wen for Ching, Maggie Cheung, Michelle Yeoh, Fan Bingbing
Episode 11
Mick in shorts
“Down Under” by Men at Work, maybe for the sequence where Mick is being mistaken for an Aussie
fanart of that scene and also of everybody in their clothes
Everybody Wants To Rule the World by Tears for Fears
all the bad fashion
lost boys soundtrack
fanart of the intro scene of bby Mick and Len
people are strange by the doors; don’t cry little sister
Weird Al’s “Smells Like Nirvana” for the section that goes
we didn’t start the fire
Ngaire - Keisha Castle-Hughes
Episode 12
the alien theme
Sort of atmospheric background music
skittering noises
Space Girl
Ziggy Stardust
Lost in Space theme
Thus Spake Zarathusa
cold as ice for Len
AIDA from Agents of Shield in part inspired Grace, but she’s not the fancast
major tom 
sigourney weaver as the engineer
for fanfic, something about Mick as Chronos, or Rip and Miranda hearing the story of the Mosaic
The moment with the Captain is saving Mick
Len and Gideon
The ghost behind Sara, and of Medusa!Grace
scaredy cat Stein
Sara and Mick sharing the quiet moment next to the graves
From Space girl: “Travelled through the time warp in the Psycho Plan”
Len shouting at Mick not to go on the other ship
Episode 13
Some ironic/dark use of something from the Evita musical
Don’t cry for me, Argentina
Mercedes Sosa
Solo le pido a dios
Churros. Any pic set of this episode must include churros.
Saved the world by eurythimics
copa la vida by ricky martin, maybe for the sequence with the soccer reference
under my umbrella aka, “Bus Stop” by the Hollies
The Legion surrounded by umbrellas
when Mick and the others are in the bakery
Fanart of Len, Thawne and Dahrk replicating the Singing In The Rain poster
Episode 14
fanart of Amaya dancing while Jax looks on like a proud brother
Greensleeves
Jonathan Rhys Meyers as Henry
Pasttime in Good Company
Brian Blessed
Eric Bana 
Sean Astin
Mick sitting alone in the garden with his lighter while len looks at him sadly
the globe burning
Sara dancing with Henry, and amaya in the back like….oh shit
Burning Down The House
Talking Heads
Royals by Lorde
Sons of Serendip
Fanart of Sara and Amaya trying to get dressed
Natalie Dormer as Ann, Natalie Portman
prison themed music for the dungeon scene
Johnny Cash
lone blues harmonica 
Mood board for henry and anne (+sara)
Episode 15
New york new york
All the old Irish songs about New York
Streets of New York
Pogues and Flogging Molly 
Wolfe Tones
the legion in their “hq”
Queen Been in a barbershop chair
Amaya carrying Sara with spirit wings behind her.
Legion!Len being pissed at racists
Some dramatic baroque-layout style picture of the mob about to start, and the only points of colour in the pic are Sara, Amaya, and Darhk
Lily fanart
her and Rip working together to guide the team from the Waverider
Stein helping a tiny Lily make her first atom model
Episode 16
annoying game show background music
A montage set to the actual Legends of the Hidden Temple, or art with the Legends and Legion wearing those dorky outfits
Benny Hill theme song
The Chicken Dance song played in slow mo 
theme from Gremlins
Someone who does podcasts needs to do some lines from the announcers
Fanart of the renegades first appearance
Fan art of affronted Mick and Len
Those (song) in Minor Key posts, Maybe the Benny Hill theme in minor key for dramatic parts
Stephen Fry would probably be perfect for Ethelred
Some of the challenges in the labyrinth should come with really annoying early computer game sounds
Art of the game in the style of one of those old crappy text RPGs and at one point, there’s a sign off to the side that says “don’t go this way - you will be eaten by a grue”
The whole Legends in The Future, yelling at a computer
16 or 32-bit version of the characters
 in the year 2525 (song)
Episode 17
it's gotta be cassette quality 90's music
Green Day
Aqua barbie girl
drunk Legends
Spice Girls
lots of Madonna and Prince and Maria Carey
Jax and Jessica duke it out at the whack a mole
all the home alone sequences
Sound of Silence for the “Hello Darhk-ness my old friend” part
O!Len realising L!Len can see him
Jessica - Gina Rodriguez
“I put a spell on you” for the final sequence with Queen Bee
Any Jax/Jessica photoset would need their respective dolls
Episode 18
music rec: we will rock you. Nothing else will do for Sara’s gladiator appearance
the woman who played Lucilla in Gladiator for Fulvia
Centuries 
Marc Antony, the guy who played him in Rome did it
Is Anybody There from 1776 musical
Rome, Spartacus, The Gladiator soundtracks
Sara fighting Darhk
EVERYONE in ancient Rome outfits
Legionnaire!Len
Kendra and Fulvia, lounging on their seats
Legion!Len in his toga
Having scenes from this episode using dialogue from Life Of Brian.
Kendra in Rome getup
Always Look on the Bright Side of Life
Episode 19
Camelot from Monty Python and the Holy Grail
Len’s ice ramp
Old school superhero comic style fan art of the knights
Joan (song)
everyone dressed up for dinner
Mick and Mordred
Colin Farrell for Jason Blood
Merlin - Taika Waititi
Eva Green for Morgana
Sofia Boutella for Nimue
Ivana Baquero ystina
Faun's Tanz mit mir for the party scene
Doomworld 1 & 2
crossover fan art of a certain Victor von Doom being angry with the Legion
It’s the End of the World as We Know It
Eurythmics "Sweet dreams are made of this"
Walking on the Ground
for Batman, Batfleck, Jason O’Mara
B: TAS theme
Ultimate Showdown of Ultimate Destiny"
Nathan Fillion - Hal
Don’t Mess With Me by Temposhark
Ain't No Rest for the Wicked" by Cage the Elephant
Ted - Danny Pudi
Everyone decked out in their doomworld versions
The fight between Mick, L!Len, and then the lanterns show up
all by myself to be playing in the background at the very end when Mick is left alone
Land of Confusion by Genesis, or the Disturbia version
Uprising by Muse
Believer by Imagine Dragons
Last Episode
Fan art of Bambi leaping joyfully into Ray’s arms
A gif set of Mick and Len hugging
fanart, specifically, of Ray and Bambi skipping through a field of flowers towards each other as “So Happy Together” plays in the background
everyone hugging Len, then Len and Mick hugging
A sweet piece of Sara and Laurel talking through the inter-dimensional skype
O!Len holding the spear, with the team in the back yelling at him not to do it 
The sequence where the jump ship explodes in the middle of the time stream
we are the champions
Legendary
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malte1mj-blog · 7 years
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2005/2006 TV Awards
Best Drama Series: Battlestar Galactica Grey's Anatomy Lost The Sopranos 24 HONORABLE MENTION: Big Love, Everwood, House, Law & Order, Medium, Rescue Me, Rome, The Shield, Six Feet Under, Veronica Mars, The West Wing, Without a Trace Best Actor - Drama Series: Matthew Fox, Lost - "Man of Science, Man of Faith" James Gandolfini, The Sopranos - "Mr. & Mrs. John Sacrimoni Request..." Hugh Laurie, House - "No Reason" Denis Leary, Rescue Me - "Justice" Edward James Olmos, Battlestar Galactica - "Resurrection Ship, Parts 1 & 2" Kiefer Sutherland, 24 - "Day 5: 7:00 A.M. - 8:00 A.M." HONORABLE MENTION: Michael Chiklis, The Shield; Vincent D’Onofrio, Law & Order: Criminal Intent; Michael C. Hall, Six Feet Under; Peter Krause, Six Feet Under; Anthony LaPaglia, Without a Trace; Kevin McKidd, Rome; Christopher Meloni, Law & Order: Special Victims Unit; Bill Paxton, Big Love; Gregory Smith, Everwood; Jimmy Smits, The West Wing; James Spader, Boston Legal; Ray Stevenson, Rome; Sam Waterston, Law & Order; Bradley Whitford, The West Wing; Treat Williams, Everwood Best Actress - Drama Series: Patricia Arquette, Medium - "Sweet Child O' Mine" Kristen Bell, Veronica Mars - "Normal Is the Watchword" Frances Conroy, Six Feet Under - "Everyone's Waiting" Edie Falco, The Sopranos - "Join the Club" Mary McDonnell, Battlestar Galactica - "Epiphanies" Polly Walker, Rome - "An Owl in a Thornbush" HONORABLE MENTION: Geena Davis, Commander in Chief; Jennifer Garner, Alias; Ginnifer Goodwin, Big Love; Rachel Griffiths, Six Feet Under; Mariska Hargitay, Law & Order: Special Victims Unit; Allison Janney, The West Wing; Evangeline Lilly, Lost; Ellen Pompeo, Grey’s Anatomy; Kim Raver, 24; Chloe Sevigny, Big Love; Jeanne Tripplehorn, Big Love Best Supporting Actor - Drama Series: Alan Alda, The West Wing - "Two Weeks Out" Tom Amandes, Everwood - "Pieces of Me" Joseph Gannascoli, The Sopranos - "Johnny Cakes" Gregory Itzin, 24 - "Day 5: 6:00 A.M. - 7:00 A.M." T.R. Knight, Grey's Anatomy - "The Name of the Game" Forest Whitaker, The Shield - "Kavanaugh" HONORABLE MENTION: Adewale Akkinnuoye-Agbaje, Lost; James Callis, Battlestar Galactica; Omar Epps, House; Walton Goggins, The Shield; Ciaran Hinds, Rome; Robert Iler, The Sopranos; Michael Imperioli, The Sopranos; Kenneth Johnson, The Shield; Daniel Dae Kim, Lost; Jack McGee, Rescue Me; Tobias Menzies, Rome; Terry O’Quinn, Lost; Chris Pratt, Everwood; James Purefoy, Rome; Freddy Rodriguez, Six Feet Under; Richard Schiff, The West Wing; Tony Sirico, The Sopranos; Jake Weber, Medium Best Supporting Actress - Drama Series: Lauren Ambrose, Six Feet Under - "Everyone's Waiting" Katherine Heigl, Grey's Anatomy - "Deterioration of the Fight or Flight Response"/"Losing My Religion" Tricia Helfer, Battlestar Galactica - "Downloaded" Katee Sackhoff, Battlestar Galactica - "Lay Down Your Burdens, Parts 1 & 2" Jean Smart, 24 - "Day 5: 6:00 A.M. - 7:00 A.M." Chandra Wilson, Grey's Anatomy - "It's the End of the World"/"As We Know It" HONORABLE MENTION: Candice Bergen, Boston Legal; Blythe Danner, Huff; Lindsay Duncan, Rome; Lisa Edelstein, House; Diane Farr, Rescue Me; Merrilyn Gann, Everwood; Sharon Gless, Queer as Folk; Yunjin Kim, Lost; Justina Machado, Six Feet Under; S. Epatha Merkerson, Law & Order; Debra Mooney, Everwood; Diane Neal, Law & Order: Special Victims Unit; Sandra Oh, Grey’s Anatomy; Grace Park, Battlestar Galactica; CCH Pounder, The Shield; Mary Lynn Rajskub, 24; Michelle Rodriguez, Lost; Emily Van Camp, Everwood Best Writing - Drama Series: Battlestar Galactica - "Downloaded" - Bradley Thompson & David Weddle Lost - "The Whole Truth" - Christina M. Kim & Elizabeth Sarnoff Rescue Me - "Happy" - Denis Leary, Evan Reilly & Peter Tolan Rome - "Kalends of February" - Bruno Heller Six Feet Under - "Everyone's Waiting" - Alan Ball The Sopranos - "Join the Club" - David Chase HONORABLE MENTION: Battlestar Galactica - “Epiphanies”; Battlestar Galactica - “Lay Down Your Burdens”; Battlestar Galactica - “Scattered”; Big Love - “Affair”; Everwood - “Pieces of Me; Grey’s Anatomy - “Deterioration of the Fight or Flight Response”; Grey’s Anatomy - “Into You Like a Train”; House - “The Mistake”; Law & Order - “Acid”; Law & Order: Criminal Intent - “In the Wee Small Hours”; Lost - “The Other 48 Days”; Medium - “Judge, Jury and Executioner”; Rome - “Triumph”; Rome - “Utica”; The Shield - “Postpartum”; Six Feet Under - “All Alone”; Six Feet Under - “Ecotone”; The Sopranos - “Mayham”; The Sopranos - “Members Only”; 24 - “Day 5: 7:00 A.M. - 8:00 A.M.”; 24 - “Day 5: 6:00 A.M. - 7:00 A.M.”; Veronica Mars - “Donut Run”; Veronica Mars - “Happy Go Lucky”; The West Wing - “Institutional Memory”; Without a Trace - “A Day in the Life” Best Directing - Drama Series: Battlestar Galactica - "Lay Down Your Burdens, Parts 1 & 2" - Michael Rymer Grey's Anatomy - "It's the End of the World"/"As We Know It" - Peter Horton The Shield - "Post Partum" - Stephen Kay The Sopranos - "Members Only" - Tim Van Patten 24 - "Day 5: 6:00 A.M. - 7:00 A.M." - Jon Cassar Veronica Mars - "Donut Run" - Rob Thomas HONORABLE MENTION: Battlestar Galactica - “Downloaded”; Battlestar Galactica - “Epiphanies”; Everwood - “An Ounce of Prevention”; Grey’s Anatomy - “Into You Like a Train”; Grey’s Anatomy - “Losing My Religion”; House - “Euphoria”; Law & Order - “Heart of Darkness”; Law & Order: Criminal Intent - “In the Wee Small Hours”; Lost - “Live Together, Die Alone”; Lost - “The Other 48 Days”; Lost - “The Whole Truth”; Rescue Me - “Happy”; Rome - “Kalends of February”; Rome - “The Spoils”; The Shield - “Extraction”; Six Feet Under - “Ecotone”; Six Feet Under - “Everyone’s Waiting”; The Sopranos - “Join the Club”; The Sopranos - “Mr. and Mrs. John Sacrimoni Request”; 24 - “Day 5: 2:00 P.M. - 3:00 P.M.”; 24 - “Day 5: 1:00 A.M. - 2:00 A.M.”; Veronica Mars - “Not Pictured”; Without a Trace - “A Day in the Life” Best Guest Actor - Drama Series: Christian Clemenson, Boston Legal - “Ivan the Incorrigible” Matt Craven, Without a Trace - "A Day in the Life" Henry Ian Cusick, Lost - "Live Together, Die Alone, Parts 1 & 2" Michael Emerson, Lost - "One of Them" Hal Holbrook, The Sopranos - "The Fleshy Part of the Thigh" Colm Meaney, Law & Order: Criminal Intent - "In the Wee Small Hours, Parts 1 & 2" HONORABLE MENTION: Shelley Berman, Boston Legal; Kyle Chandler, Grey’s Anatomy; Gordon Clapp, Law & Order: Special Victims Unit; Vincent Curatola, The Sopranos; Thomas Dekker, House; William Devane, 24; Charles S. Dutton, House; Michael J. Fox, Boston Legal; Kelsey Grammer, Medium; Richard Jenkins, Six Feet Under; Justin Kirk, Without a Trace; Ron Livingston, House; Rob Lowe, The West Wing; Matt O’Leary, Law & Order: Criminal Intent; Jeff Perry, Grey’s Anatomy; Oliver Platt, The West Wing; Julian Sands, Law & Order: Criminal Intent; Tom Selleck, Boston Legal; James Patrick Stuart, Medium; Lee Tergesen, Rescue Me; James Woods, ER Best Guest Actress - Drama Series: Patricia Clarkson, Six Feet Under - "The Rainbow of Her Reasons" Michelle Forbes, Battlestar Galactica - "Resurrection Ship, Parts 1 & 2" Kristen Johnston, ER - "All About Christmas Eve" Lucy Lawless, Battlestar Galactica - "Downloaded" Laurie Metcalf, Without a Trace - "A Day in the Life" Katey Sagal, Lost - "Lockdown" HONORABLE MENTION: Kathy Baker, Nip/Tuck; Kate Burton, Grey’s Anatomy; L. Scott Caldwell, Lost; Jessica Hecht, ER; Christina Hendricks, Without a Trace; Anjelica Huston, Huff; Monica Keena, Grey’s Anatomy; Swoosie Kurtz, Huff; Kathy Lamkin, Nip/Tuck; Mary Stuart Masterson, Law & Order: Special Victims Unit; Samantha Mathis, Law & Order: Criminal Intent; Laurie Metcalf, Grey’s Anatomy; Cynthia Nixon, House; Lena Olin, Alias; Tatum O’Neal, Rescue Me; Alison Pill, Law & Order: Criminal Intent; Nicole Sullivan, Boston Legal; Sela Ward, House; Betty White, Boston Legal Best Ensemble - Drama Series: Battlestar Galactica Grey's Anatomy Lost Rome Six Feet Under The Sopranos HONORABLE MENTION: Big Love, Boston Legal, ER, Everwood, House, Law & Order: Special Victims Unit, The O.C., Prison Break, Queer as Folk, Rescue Me, The Shield, 24, Veronica Mars, The West Wing Best New Drama Series: Big Love Close to Home The Inside Prison Break Rome HONORABLE MENTION: The Bedford Diaries, Commander in Chief, What About Brian Best Comedy Series: Arrested Development Everybody Hates Chris Extras The Office Scrubs HONORABLE MENTION: The Comeback, Curb Your Enthusiasm, Desperate Housewives, Entourage, Gilmore Girls, How I Met Your Mother, It’s Always Sunny in Philadelphia, My Name Is Earl Best Actor - Comedy Series: Jason Bateman, Arrested Development - "The Ocean Walker" Zach Braff, Scrubs - "My Five Stages" Steve Carell, The Office - "The Injury" Ricky Gervais, Extras - "Kate Winslet" Jason Lee, My Name Is Earl - "Pilot" Tony Shalhoub, Monk - "Mr. Monk Bumps His Head" HONORABLE MENTION: Kevin Connolly, Entourage; Larry David, Curb Your Enthusiasm; Bernie Mac, The Bernie Mac Show; Josh Radnor, How I Met Your Mother; Tyler James Williams, Everybody Hates Chris Best Actress - Comedy Series: Tichina Arnold, Everybody Hates Chris - "Everybody Hates Jail" Lauren Graham, Gilmore Girls - "Friday Night's All Right for Fighting" Ashley Jensen, Extras - "Samuel L. Jackson" Jane Kaczmarek, Malcolm in the Middle - "Lois Strikes Back" Lisa Kudrow, The Comeback - "Valerie Relaxes in Palm Springs" Mary-Louise Parker, Weeds - "You Can't Miss the Bear" HONORABLE MENTION: Alexis Bledel, Gilmore Girls; Marcia Cross, Desperate Housewives; Teri Hatcher, Desperate Housewives; Felicity Huffman, Desperate Housewives; Eva Longoria, Desperate Housewives; Julia Louis-Dreyfus, The New Adventures of Old Christine; Debra Messing, Will & Grace Best Supporting Actor - Comedy Series: Will Arnett, Arrested Development - "Making a Stand" Michael Cera, Arrested Development - "S.O.B.s" Terry Crews, Everybody Hates Chris - "Everybody Hates a Part Time Job" Charlie Day, It's Always Sunny in Philadelphia - "Charlie Wants an Abortion" John Krasinski, The Office - "The Secret" Jeremy Piven, Entourage - "Exodus" HONORABLE MENTION: Bryan Cranston, Malcolm in the Middle; Kevin Dillon, Entourage; Donald Faison, Scrubs; Tony Hale, Arrested Development; Neil Patrick Harris, How I Met Your Mother; Glenn Howerton, It’s Always Sunny in Philadelphia; Justin Kirk, Weeds; Rob McElhenney, It’s Always Sunny in Philadelphia; John C. McGinley, Scrubs; Scott Patterson, Gilmore Girls; Jason Segel, How I Met Your Mother; Rainn Wilson, The Office Best Supporting Actress - Comedy Series: Jenna Fischer, The Office - "Booze Cruise" Kaitlin Olson, It's Always Sunny in Philadelphia - "Underage Drinking: A National Concern" Elizabeth Perkins, Weeds - "Higher Education" Jaime Pressly, My Name Is Earl - "Joy's Wedding" Judy Reyes, Scrubs - "Her Story II" Jessica Walter, Arrested Development - "Development Arrested" HONORABLE MENTION: Kelly Bishop, Gilmore Girls; Sarah Chalke, Scrubs; Portia de Rossi, Arrested Development; Alyson Hannigan, How I Met Your Mother; Melora Hardin, The Office; Megan Mullally, Will & Grace; Alia Shawkat, Arrested Development; Nicollette Sheridan, Desperate Housewives; Cobie Smulders, How I Met Your Mother Best Writing - Comedy Series: Arrested Development - "Development Arrested" - Richard Day, Mitchell Hurwitz, Chuck Tatham & Jim Vallely Everybody Hates Chris - "Everybody Hates the Pilot" - Ali LeRoi & Chris Rock Extras - "Samuel L. Jackson" - Ricky Gervais & Stephen Merchant It's Always Sunny in Phildelphia - "Charlie Wants an Abortion" - Charlie Day & Rob McElhenney The Office - "Christmas Party" - Michael Schur The Office - "The Injury" - Mindy Kaling HONORABLE MENTION: Arrested Development - “Forget Me Now”; Arrested Development - “The Ocean Walker”; Arrested Development - “S.O.B.s”; The Comeback - “Valerie Relaxes in Palm Springs”; Entourage - “Exodus”; Everybody Hates Chris - “Everybody Hates a Part Time Job”; Extras - “Kate Winslet”; Extras - “Patrick Stewart”; Gilmore Girls - “Friday Night’s All Right for Fighting”; Gilmore Girls - “We’ve Got Magic to Do”; How I Met Your Mother - “Game Night”; It’s Always Sunny in Philadelphia - “Charlie Got Molested”; My Name Is Earl - “Joy’s Wedding”; My Name Is Earl - “Quit Smoking”; The Office - “Booze Cruise”; The Office - “Casino Night”; The Office - “The Fire”; Scrubs - “My Five Stages”; Scrubs - “My Way Home” Best Directing - Comedy Series: Arrested Development - "Development Arrested" - John Fortenberry Arrested Development - "S.O.B.'s" - Bob Berlinger Curb Your Enthusiasm - "The Ski Lift" - Larry Charles Extras - "Kate Winslet" - Ricky Gervais & Stephen Merchant The Office - "Booze Cruise" - Ken Kwapis The Office - "Christmas Party" - Charles McDougall HONORABLE MENTION: Arrested Development - “Fakin’ It”; Arrested Development - “Mr. F” Arrested Development - “The Ocean Walker”; The Comeback - “Valerie Does Another Classic Leno”; Curb Your Enthusiasm - “The End”; Curb Your Enthusiasm - “The Smoking Jacket”; Entourage - “Exodus”; Everybody Hates Chris - “Everybody Hates the Pilot”; Extras - “Samuel L. Jackson”; Gilmore Girls - “Friday Night’s All Right for Fighting”; It’s Always Sunny in Philadelphia - “Charlie Got Molested”; It’s Always Sunny in Philadelphia - “Charlie Wants an Abortion”; My Name Is Earl - “Joy’s Wedding”; The Office - “Casino Night”; The Office - “The Fire”; The Office - “The Injury”; Scrubs - “My Five Stages”; Scrubs - “My Lunch”; Scrubs - “My Way Home” Best Guest Actor - Comedy Series: Scott Baio, Arrested Development - "Forget Me Now" Beau Bridges, My Name Is Earl - "Cost Dad the Election" Malcolm McDowell, Entourage - "Exodus" Sydney Pollack, Will & Grace - "Blanket Apology" Grant Rosenmeyer, Monk - "Mr. Monk and Little Monk" Patrick Stewart, Extras - "Patrick Stewart" HONORABLE MENTION: Jason Alexander, Monk; Anthony Anderson, The Bernie Mac Show; Bobby Cannavale, Will & Grace; Rhys Coiro, Entourage; Bob Einstein, Arrested Development; Dave Foley, Scrubs; Jeffrey Dean Morgan, Weeds; Giovanni Ribisi, My Name Is Earl; Michael Rosenbaum, It’s Always Sunny in Philadelphia; David Sutcliffe, Gilmore Girls; John Turturro, Monk Best Guest Actress - Comedy Series: Justine Bateman, Arrested Development - "Family Ties" Kathryn Joosten, My Name Is Earl - "Quit Smoking" Shirley Knight, Desperate Housewives - "You Could Drive a Person Crazy" Laurie Metcalf, Monk - "Mr. Monk Bumps His Head" Charlize Theron, Arrested Development - "The Ocean Walker" Kate Winslet, Extras - "Kate Winslet" HONORABLE MENTION: Elizabeth Banks, Scrubs; Brett Butler, My Name Is Earl; Blythe Danner, Will & Grace; Loretta Devine, Everybody Hates Chris; Cheryl Hines, Scrubs; Allison Janney, Weeds; Kathryn Joosten, Desperate Housewives; Cloris Leachman, Malcolm in the Middle; Michael Learned, Scrubs; Marion Ross, Out of Practice; Nicole Sullivan, Scrubs; Ashley Williams, How I Met Your Mother; Constance Zimmer, Entourage Best Ensemble - Comedy Series: Arrested Development Desperate Housewives Everybody Hates Chris Gilmore Girls The Office Scrubs HONORABLE MENTION: Curb Your Enthusiasm, Entourage, How I Met Your Mother, It’s Always Sunny in Philadelphia, Malcolm in the Middle, Weeds, Will & Grace Best New Comedy Series: The Comeback Everybody Hates Chris Extras How I Met Your Mother It's Always Sunny in Philadelphia My Name Is Earl HONORABLE MENTION: Kitchen Confidential, The New Adventures of Old Christine, Out of Practice, Weeds Best TV Movie/Miniseries: Bleak House Elizabeth I Gideon's Daughter Sleeper Cell Thief HONORABLE MENTION: Flight 93, The Girl in the Cafe, High School Musical, Human Trafficking, Speak, Walkout Best Actor - TV Movie/Miniseries: Andre Braugher, Thief Charles Dance, Bleak House Hugh Dancy, Elizabeth I Michael Ealy, Sleeper Cell Bill Nighy, The Girl in the Cafe HONORABLE MENTION: Zac Efron, High School Musical; Oded Fehr, Sleeper Cell; Bill Nighy, Gideon’s Daughter; Michael Pena, Walkout Best Actress - TV Movie/Miniseries: Gillian Anderson, Bleak House Kelly Macdonald, The Girl in the Cafe Anna Maxwell Martin, Bleak House Helen Mirren, Elizabeth I Kristen Stewart, Speak HONORABLE MENTION: Kathy Bates, Ambulance Girl; Annette Bening, Mrs. Harris; Miranda Richardson, Gideon’s Daughter; Mira Sorvino, Human Trafficking; Alexa Vega, Walkout Best Supporting Actor - TV Movie/Miniseries: Jeremy Irons, Elizabeth I Toby Jones, Elizabeth I Patrick Kennedy, Bleak House Ben Kingsley, Mrs. Harris Denis Lawson, Bleak House HONORABLE MENTION: Clifton Collins Jr., Thief; Phil Davis, Bleak House; Burn Gorman, Bleak House; Tom Hardy, Gideon’s Daughter; Alex Nesic, Sleeper Cell; Jeffrey Nordling, Flight 93; Efren Ramirez, Walkout; Donald Sutherland, Human Trafficking Best Supporting Actress - TV Movie/Miniseries: Emily Blunt, Gideon's Daughter Pauline Collins, Bleak House Laura Harring, Walkout Carey Mulligan, Bleak House Mae Whitman, Thief HONORABLE MENTION: Cloris Leachman, Mrs. Harris; Elizabeth Perkins, Speak; Ashley Tisdale, High School Musical; Sonya Walger, Sleeper Cell Best Variety Series: The Colbert Report The Daily Show with Jon Stewart Late Night with Conan O'Brien Late Show with David Letterman Saturday Night Live HONORABLE MENTION: Real Time with Bill Maher Best Variety Special: Bill Maher: I'm Swiss The 63rd Annual Golden Globe Awards Kathy Griffin: Strong Black Woman South Pacific in Concert From Carnegie Hall (Great Performances) The 59th Annual Tony Awards HONORABLE MENTION: The 78th Annual Academy Awards, AFI’s 100 Years…100 Movie Quotes, Kathy Griffin Is…Not Nicole Kidman, The 2005 MTV Movie Awards Best Male Performer - Variety Series/Special: Stephen Colbert, The Colbert Report Hugh Jackman, The 59th Annual Tony Awards David Letterman, Late Show with David Letterman Brian Stokes Mitchell, South Pacific in Concert From Carnegie Hall (Great Performances) Jon Stewart, The Daily Show with Jon Stewart HONORABLE MENTION: Fred Armisen, Saturday Night Live; Jason Daniely, South Pacific in Concert From Carnegie Hall (Great Performances); Will Forte, Saturday Night Live; Bill Hader, Saturday Night Live; Steve Martin, Saturday Night Live; Conan O’Brien, Late Night with Conan O’Brien; Andy Samberg, Saturday Night Live; Jason Sudeikis, Saturday Night Live Best Female Performer - Variety Series/Special: Rachel Dratch, Saturday Night Live Kathy Griffin, Kathy Griffin: Strong Black Woman Reba McEntire, South Pacific in Concert From Carnegie Hall (Great Performances) Amy Poehler, Saturday Night Live Kristen Wiig, Saturday Night Live HONORABLE MENTION: Tina Fey, Saturday Night Live; Kathy Griffin, Kathy Griffin Is…Not Nicole Kidman; Scarlett Johansson, Saturday Night Live; Julia Louis-Dreyfus, Saturday Night Live; Sara Ramirez, The 59th Annual Tony Awards; Maya Rudolph, Saturday Night Live; Lillias White, South Pacific in Concert From Carnegie Hall (Great Performances) Best Animated Series: Family Guy King of the Hill South Park HONORABLE MENTION: The Simpsons Best Voice-Over Performer - Animated Series: Alex Borstein, Family Guy - "Breaking Out Is Hard to Do" Dan Castellaneta, The Simpsons - "Homer Simpson, This Is Your Wife" Mike Judge, King of the Hill - "Hank's on Board" Seth MacFarlane, Family Guy - "Pretarded" Trey Parker, South Park - "Cartoon Wars, Parts 1 & 2" Matt Stone, South Park - "Marjorine" HONORABLE MENTION: Pamela Adlon, King of the Hill; Seth Green, Family Guy; Mike Henry, Family Guy; Julie Kavner, The Simpsons; Kathy Najimy, King of the Hill; Yeardley Smith, The Simpsons Best Reality Series - Competition: The Amazing Race American Idol America's Next Top Model Big Brother Project Runway Survivor HONORABLE MENTION: The Apprentice, The Apprentice: Martha Stewart, Beauty and the Geek, Hell’s Kitchen, Real World/Road Rules Challenge: The Gauntlet II, Top Chef Best Reality Series - Non-Competition: Hogan Knows Best Kathy Griffin: My Life on the D-List The Real World 30 Days Wife Swap HONORABLE MENTION: Being Bobby Brown, The Simple Life, The Surreal Life, Three Wishes Breakthrough Male Performance: Charlie Day, It's Always Sunny in Philadelphia Steven R. McQueen, Everwood Josh Radnor, How I Met Your Mother Andy Samberg, Saturday Night Live Tyler James Williams, Everybody Hates Chris HONORABLE MENTION: Bill Hader, Saturday Night Live; Rob McElhenney, It’s Always Sunny in Philadelphia; Robert Michael Morris, The Comeback; Hunter Parrish, Weeds; Tequan Richmond, Everybody Hates Chris Breakthrough Female Performance: Malin Akerman, The Comeback Kerry Condon, Rome Kaitlin Olson, It's Always Sunny in Philadelphia Tessa Thompson, Veronica Mars Kristen Wiig, Saturday Night Live HONORABLE MENTION: Corri English, The Bedford Diaries; Allie Grant, Weeds; Imani Hakim, Everybody Hates Chris; Autumn Reeser, The O.C.; Nadine Velazquez, My Name Is Earl
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da5vi · 7 years
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Vamos falar sobre o Sr. Monk?
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Vasculhando algumas séries com o meu namorado, encontramos Monk, então ele comentou que, há muito tempo, seu pai costumava assistir e dizer que era muito boa a série.
Nos entreolhamos e, por que não começar uma série nova, certo? Afinal, nem temos séries em andamento e estamos no aguardo de novas temporadas de outras (#sarcasm).
Monk foi uma série de comédia com um pequeno toque de drama/suspense, do canal USA Network, durante os anos 2002 e 2009. Ao todo foram 8 temporadas, 215 episódios, cada um com 40 minutos de duração.
A série é focada no ex detetive Adrian Monk (Tony Shalhoub) que sofre de TOC e algumas milhões de fobias estranhas. Sim, estranhas mesmo! Como medo de leite, por exemplo. Enfim, ele era casado com Trudy e, após ela morrer em uma explosão, o cara teve um colapso nervoso, o que o obrigou a ser afastado da polícia e chegando ao ponto de ficar quase três anos trancado dentro de casa.
Com a ajuda de Sharona (Bitty Schram), ele acaba saindo de casa e retomando sua vida normal, isso é, se podemos chamá-lo de normal.
Monk acaba se tornando uma espécie de ajuda à polícia de São Francisco, já que o Capitão Leland (Ted Levine) e o Tenente Randy (Jason Gray-Standford) nunca resolvem um caso sem antes pedir ajuda ao detetive e, assim, aos poucos, ele vai sendo reintegrado.
Como ja falei, Monk é cheio das manias e, ao mesmo tempo que essas manias o tornem um cara difícil, também são elas que o fazem ser atencioso a detalhes que quase ninguém repara, como sua facilidade de fazer conexões sobre gestos de pessoas envolvidas em um crime, ou características. Apesar de cada episódio tratar de uma investigação diferente, a série tem como maior guia a investigação de Adrian sobre a morte de Trudy.
Ah, essa é a cara que ele faz quando, do nada, resolve um caso todo na sua cabeça.
Após ter ganhado um Globo de Ouro, Bitty Schram pediu um salário mais adequado e foi cortada da série, saindo na metade da terceira temporada e sendo substituída pela atriz Taylor Howard, que veio como Natalie, a nova enfermeira de Adrian. Mas Bitty ainda aparece em um episódio, quando Sharona retorna para seu novo emprego depois que seu marido é preso por assassinato, deste modo, cria um conflito com Natalie.
Curiosidades:
Na primeira temporada, a música de abertura era apenas instrumental e ganhou o Emmy 2003 como melhor música-tema, mas a segunda temporada veio com outra música de abertura, It's a Jungle Out There, o que fez vários fãs e críticos ficarem frustrados.
Vários atores especiais apareceram como convidados ao longo das temporadas, como  Brooke Adams, Jason Alexander, Sean Astin, Danny Bonaduce, James Brolin, Brooke Burke, Dan Butler, Rosalind Chao, Enrico Colantoni, Alice Cooper, Brett Cullen, Tim Curry, Tim Daly, Charles Durning, Carmen Electra, Fred Ewanuick, Jon Favreau, Willie Garson, Joy Giovanni, Bob Gunton, Dan Hedaya, Korn, Brooke Langton, Chi McBride, Andrew McCarthy, Malcolm McDowell, Laurie Metcalf, Larry Miller, Glenn Morshower, Charles Napier, Kevin Nealon, Willie Nelson, Judge Reinhold, Andy Richter, Amy Sedaris, Sarah Silverman, Nicole Sullivan, Holland Taylor, Danny Trejo, Stanley Tucci, Steven Weber, Mykelti Williamson, Rainn Wilson, Janet Wright, Alfred Molina, Snoop Dogg e vários outros!
Além de uma série de DVDs, a série Monk contém também um CD com a trilha sonora.
Os personagens Capitão Leland Stottlemeyer e o Tenente Randal Disher (chamado Randall Deacon no episódio piloto) têm a mesma função em Monk que o inspetor Lestrade nas histórias de Sherlock Holmes. Esta ligação pode ter inspirado o nome dos personagens: pegando as duas primeiras letras de cada nome em ordem - LE de "Leland", ST de "Stottlemeyer", RA de 'Randall" e DE de "Deacon" - juntas formam o nome do inspetor, LESTRADE.
Monk já apresentou 38 fobias diferentes, entre elas Afefobia (medo de ser tocado); Ofidiofobia (medo de cobras); ataxofobia (medo de bagunça); misofobia (medo de germes); lactofobia (medo de leite) entre outras.
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Vou parando por aqui, porque também sou conhecida como spoiler ambulante, então, antes que eu comece a soltar o que não devo, a dica é: se você quer assistir a série, tem no Net Now, aquele aplicativo para os assinantes NET, caso contrário, é bem fácil de encontrar dublada ou legendada na internet.
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bobbynolanios88 · 5 years
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Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Time Compression
I have presented my case for the point of view that Bitcoin (BTC-USD)(COIN)(OTCQX:GBTC) is a log scale phenomenon many times. However, if this happens to be your first time reading one of my articles, or any article on Bitcoin for that matter, consider the charts below.
Source: Blockchain.com and author’s charts
Here’s the hash power of the Bitcoin network in linear scale. Not very meaningful, is it? But when we flip the Y-axis to log scale…
Source: Blockchain.com and author’s charts
That’s better, isn’t it? Look at all the information that we just couldn’t see before, like what happened in 2011 and 2014. For the sake of my regular readers, we’ll move on from this topic which I feel like I may have beat to death.
However, further examination has shown that there may still be some life left in this log-scale horse. So, today we’re going to talk about an interesting stat that we can pull from the Bitcoin network, total transactions.
What are total transactions?
When you hear me talk about total transactions, I’m referring to the running total of all Bitcoin transactions that have ever been transmitted and confirmed on the Bitcoin blockchain. This number cannot go down, because it’s a running count. If there are 10 transactions sent per day, then the number grows by tens. If there are thousands, then it grows by thousands. But, if the number stops growing, then Bitcoin is actually dead.
Now then, since the total transaction count can tell us if Bitcoin is still alive, and we know that it grows faster as the frequency of transactions increases (and slower if they decrease, of course), I have suggested that there are two novel uses for this piece of data.
It can be used as a proxy for time. The more transactions are broadcast, the “older” Bitcoin is.
It acts like a sort of trend line, from which we can gauge the disparity between the current epoch and the price.
An inquisitive follower on Twitter (TWTR) noted that since Bitcoin’s price has tended to increase over time, you could find a positive correlation with anything else that increases over time:
This is true and a valid concern. However, I believe we can do better than simply snapping a trend line on a data set over time. Let me show you what I mean.
Source: Blockchain.com and author’s charts
You’ve probably seen this chart before. But, there’s another thing you may not have noticed. This chart has a Y-axis in log scale, and yet the X-axis is in constant time, which is linear scale. Do you see how the chart seems to curve off to the right? The data is actually following a log curve in log scale. What does this mean? See the chart below for a helpful illustration of this curve.
Source: Awe and Wonder via Medium
Is there in fact a way to look at the X-axis in log scale? And if there was a way, is it useful or any better?
I have good news, there is a way and I think it’s very useful for a number of reasons. Do you remember how I said the total transactions could be a proxy for time? Let’s put those on the X-axis and the price on the Y-axis, just for kicks.
Source: Blockchain.com and author’s charts
The total transactions here are set to display in log scale, and notice that the chart is now more of a straight line, rather than a logarithmic curve? Now, scroll back up to the price chart that I posted above (the one with the white background) with time as the X-axis. Do you notice something else that’s peculiar? I’ll give you a hint, the chart gets compressed as you move forward in time.
Bitcoin is not just getting bigger, it’s getting faster as it grows too. Measuring this in linear scale time forces you to do one of two things, draw a curve like Awe & Wonder has done, or compress time as well if you want to run a linear regression model. I have chosen the latter here, and to check that this relationship is actually stronger, I did a little test.
I ran a regression analysis on the log price over linear time, and then compared that to the log price over log total transactions. The results confirmed my suspicions.
Log Price / Time Log Price / Log Transaction Count R2 0.866 0.922
This may not seem like a huge difference, but if my theory is correct, the log/log relationship will strengthen over time while the log/linear time relationship grows steadily weaker. (You can’t very well fit a linear trend line to curved data.)
So, time is speeding up?
Exactly! But this shouldn’t really surprise you, since every year we produce more data than the year before, and computers have been increasing in price/performance exponentially for more than 100 years. It’s almost like we’re being sucked into a technological singularity…
Causation
One of the things that I hear the most is, “your models don’t prove causation.” Thanks for that. In fact, I can guarantee that someone reading this will post exactly that in the comment section. Yes, for the millionth time, correlation does not imply causation. However, I contend that there is much more subtlety in the world than we realize.
For example, just the other day I posted an article that validated some of my underlying assumptions about the Bitcoin price. Specifically, we used nonparametric statistics to show that there was a relationship between the Bitcoin price and the network statistics (daily transactions, unique addresses and such).
A chart that I created from this process was based on the ranking of these statistics from high to low. You may remember this chart:
Source: Hans Hauge via Seeking Alpha
I really liked this chart, so I imported it into my new charting library. When I did that, I noticed several things. See below:
Source: Blockchain.com and author’s charts
First of all, you may have noticed that there seems to be a giant cluster of points near the bottom right of the graph. Second, you may have noticed that the green and red dots seem to change direction since around the start of 2018. Both these things can be explained by the simple fact that my data set contains points from every 48 hours from 2009 up until 2017. Starting around the end of 2017, I have data points every 24 hours. So, that means there’s twice as many points this year, which drags the “tip of the spear” down. For now, I plan to leave this as-is. But, at some point in the future, I may make an adjustment to account for this disparity.
The third thing I noticed was that there’s no purple in the top left. Why is that? Well, normally my charts don’t go back to 2009, because I’m looking at the price, and there simply wasn’t one back then. But, that raises a new question. Let’s zoom in on the top left quadrant of the chart.
Source: Blockchain.com and author’s charts
I have conveniently placed my mouse over the first point in time where we have a price for Bitcoin (according to blockchain.com). That date was August 18th, 2010. The question I have for you is this: “why did the number of daily transactions, hash power, unique addresses in use, and the running count of all Bitcoin transactions increase between January of 2009, and August of 2010?”
It’s a simple question. So, what’s your answer? The Bitcoin network grew steadily for 20 months before there was a price, why? We’ve beat the living heck out of the causation horse, haven’t we? The growth of the network couldn’t possibly drive the price, could it?
Stranger things have happened. After all, Metcalfe’s Law was used to successfully predict the revenue of Facebook (FB) and Tencent (OTCPK:TCTZF)(OTCPK:TCEHY). Perhaps the value does come from the network?
Source: Journal of Computer Science and Technology, 2015
Feedback Loops
Have you ever been at a concert, and the musician got the microphone too close to the speakers? What happened? If you’ve ever had that terrible experience then you know what I’m talking about. The sound coming out of the speakers goes back into the microphone, which goes back into the speakers. No sooner does this happen then that original noise (usually a high pitch squeal) comes back out of the speakers louder than it was the first time. This sound gets louder and louder until someone turns off the sound system, or the microphone gets repositioned, or everyone’s heads simultaneously explode.
So, what caused the feedback? Was it the microphone or the speaker? If you said “actually, feedback is a system; it’s not caused by one or the other, both the speaker, the microphone and a certain combination of settings and positioning are required to create the feedback loop,” then you’d be 100% correct!
The Zen monks picked up on this ages ago when they asked “does the fish move the water, or does the water move the fish?” Likewise, with Bitcoin, I think the only rational way to understand Bitcoin’s price action is as a part of a system. Let’s return to the topic of the miners and the price for a moment.
The Bitcoin Miner-Price Feedback Loop
Source: author’s diagrams
One of the pillars of Bitcoin’s security comes from the huge amount of hash power of the network and the globally distributed mining network. These miners are incentivized to mine Bitcoin and to act in the best interest of the network. As they do this, the system gets more robust, which raises confidence, and attracts more users. Since we know that there are a limited number of Bitcoin that can ever exist, an increase in the user base pushes up the price, which in turn attracts more miners.
Conclusion
I hope that I have challenged you to think in new ways about Bitcoin. Is it always proper to think in linear scale time when Bitcoin is a logarithmic phenomenon? Is the Bitcoin price action the cause of the network’s growth, and the sole determinant of the hash power? Or, is the price simply a piece of the puzzle that we can come to understand and model by studying and understanding the system itself?
Cheers,
Hans
This article was published first in Crypto Blue Chips.
Disclosure: I am/we are long BTC-USD. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Original Source https://ift.tt/2rL8Gi0
0 notes
Text
The Great Broadway Diva Showdown: Introducing the Divas
Tumblr media
L to R:
Row 1: Andréa Burns | Andrea Martin | Anika Noni Rose | Ann Harada | Annette Bening | Audra McDonald | Bebe Neuwirth | Bernadette Peters | Beth Leavel | Betty Buckley | Brenda Braxton
Row 2: Carmen Cusack | Carolee Carmello | Charlotte d'Amboise | Cherry Jones | Christine Baranski | Debra Monk | Dee Hoty | Donna Murphy | Emily Skinner | Harriet Harris | Heather Headley
Row 3: Jackie Hoffman | Jan Maxwell | Janet McTeer | Jayne Houdyshell | Jennifer Simard | Joanna Gleason | Judith Light | Judy Kuhn | Julia Murney | Julie White | Karen Ziemba
Row 4: Kate Baldwin | Katie Finneran | Katrina Lenk | Kelli O'Hara | Kerry O'Malley | LaChanze | Laura Linney | Laurie Metcalf | Lea Salonga | Lillias White | Linda Eder
Row 5: Linda Emond | Luba Mason | Marin Mazzie | Mary Beth Peil | Mary Testa | Natasha Yvette Williams | Patricia Clarkson | Patti LuPone | Paula Leggett Chase | Rebecca Luker | Sarah Rice
Row 6: Stephanie J. Block | Susan Blackwell | Tonya Pinkins | Tovah Feldshuh | Tyne Daly | Ute Lemper | Vanessa Williams | Veanne Cox | Victoria Clark
5 notes · View notes
courtneyvbrooks87 · 5 years
Text
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Time Compression
I have presented my case for the point of view that Bitcoin (BTC-USD)(COIN)(OTCQX:GBTC) is a log scale phenomenon many times. However, if this happens to be your first time reading one of my articles, or any article on Bitcoin for that matter, consider the charts below.
Source: Blockchain.com and author’s charts
Here’s the hash power of the Bitcoin network in linear scale. Not very meaningful, is it? But when we flip the Y-axis to log scale…
Source: Blockchain.com and author’s charts
That’s better, isn’t it? Look at all the information that we just couldn’t see before, like what happened in 2011 and 2014. For the sake of my regular readers, we’ll move on from this topic which I feel like I may have beat to death.
However, further examination has shown that there may still be some life left in this log-scale horse. So, today we’re going to talk about an interesting stat that we can pull from the Bitcoin network, total transactions.
What are total transactions?
When you hear me talk about total transactions, I’m referring to the running total of all Bitcoin transactions that have ever been transmitted and confirmed on the Bitcoin blockchain. This number cannot go down, because it’s a running count. If there are 10 transactions sent per day, then the number grows by tens. If there are thousands, then it grows by thousands. But, if the number stops growing, then Bitcoin is actually dead.
Now then, since the total transaction count can tell us if Bitcoin is still alive, and we know that it grows faster as the frequency of transactions increases (and slower if they decrease, of course), I have suggested that there are two novel uses for this piece of data.
It can be used as a proxy for time. The more transactions are broadcast, the “older” Bitcoin is.
It acts like a sort of trend line, from which we can gauge the disparity between the current epoch and the price.
An inquisitive follower on Twitter (TWTR) noted that since Bitcoin’s price has tended to increase over time, you could find a positive correlation with anything else that increases over time:
This is true and a valid concern. However, I believe we can do better than simply snapping a trend line on a data set over time. Let me show you what I mean.
Source: Blockchain.com and author’s charts
You’ve probably seen this chart before. But, there’s another thing you may not have noticed. This chart has a Y-axis in log scale, and yet the X-axis is in constant time, which is linear scale. Do you see how the chart seems to curve off to the right? The data is actually following a log curve in log scale. What does this mean? See the chart below for a helpful illustration of this curve.
Source: Awe and Wonder via Medium
Is there in fact a way to look at the X-axis in log scale? And if there was a way, is it useful or any better?
I have good news, there is a way and I think it’s very useful for a number of reasons. Do you remember how I said the total transactions could be a proxy for time? Let’s put those on the X-axis and the price on the Y-axis, just for kicks.
Source: Blockchain.com and author’s charts
The total transactions here are set to display in log scale, and notice that the chart is now more of a straight line, rather than a logarithmic curve? Now, scroll back up to the price chart that I posted above (the one with the white background) with time as the X-axis. Do you notice something else that’s peculiar? I’ll give you a hint, the chart gets compressed as you move forward in time.
Bitcoin is not just getting bigger, it’s getting faster as it grows too. Measuring this in linear scale time forces you to do one of two things, draw a curve like Awe & Wonder has done, or compress time as well if you want to run a linear regression model. I have chosen the latter here, and to check that this relationship is actually stronger, I did a little test.
I ran a regression analysis on the log price over linear time, and then compared that to the log price over log total transactions. The results confirmed my suspicions.
Log Price / Time Log Price / Log Transaction Count R2 0.866 0.922
This may not seem like a huge difference, but if my theory is correct, the log/log relationship will strengthen over time while the log/linear time relationship grows steadily weaker. (You can’t very well fit a linear trend line to curved data.)
So, time is speeding up?
Exactly! But this shouldn’t really surprise you, since every year we produce more data than the year before, and computers have been increasing in price/performance exponentially for more than 100 years. It’s almost like we’re being sucked into a technological singularity…
Causation
One of the things that I hear the most is, “your models don’t prove causation.” Thanks for that. In fact, I can guarantee that someone reading this will post exactly that in the comment section. Yes, for the millionth time, correlation does not imply causation. However, I contend that there is much more subtlety in the world than we realize.
For example, just the other day I posted an article that validated some of my underlying assumptions about the Bitcoin price. Specifically, we used nonparametric statistics to show that there was a relationship between the Bitcoin price and the network statistics (daily transactions, unique addresses and such).
A chart that I created from this process was based on the ranking of these statistics from high to low. You may remember this chart:
Source: Hans Hauge via Seeking Alpha
I really liked this chart, so I imported it into my new charting library. When I did that, I noticed several things. See below:
Source: Blockchain.com and author’s charts
First of all, you may have noticed that there seems to be a giant cluster of points near the bottom right of the graph. Second, you may have noticed that the green and red dots seem to change direction since around the start of 2018. Both these things can be explained by the simple fact that my data set contains points from every 48 hours from 2009 up until 2017. Starting around the end of 2017, I have data points every 24 hours. So, that means there’s twice as many points this year, which drags the “tip of the spear” down. For now, I plan to leave this as-is. But, at some point in the future, I may make an adjustment to account for this disparity.
The third thing I noticed was that there’s no purple in the top left. Why is that? Well, normally my charts don’t go back to 2009, because I’m looking at the price, and there simply wasn’t one back then. But, that raises a new question. Let’s zoom in on the top left quadrant of the chart.
Source: Blockchain.com and author’s charts
I have conveniently placed my mouse over the first point in time where we have a price for Bitcoin (according to blockchain.com). That date was August 18th, 2010. The question I have for you is this: “why did the number of daily transactions, hash power, unique addresses in use, and the running count of all Bitcoin transactions increase between January of 2009, and August of 2010?”
It’s a simple question. So, what’s your answer? The Bitcoin network grew steadily for 20 months before there was a price, why? We’ve beat the living heck out of the causation horse, haven’t we? The growth of the network couldn’t possibly drive the price, could it?
Stranger things have happened. After all, Metcalfe’s Law was used to successfully predict the revenue of Facebook (FB) and Tencent (OTCPK:TCTZF)(OTCPK:TCEHY). Perhaps the value does come from the network?
Source: Journal of Computer Science and Technology, 2015
Feedback Loops
Have you ever been at a concert, and the musician got the microphone too close to the speakers? What happened? If you’ve ever had that terrible experience then you know what I’m talking about. The sound coming out of the speakers goes back into the microphone, which goes back into the speakers. No sooner does this happen then that original noise (usually a high pitch squeal) comes back out of the speakers louder than it was the first time. This sound gets louder and louder until someone turns off the sound system, or the microphone gets repositioned, or everyone’s heads simultaneously explode.
So, what caused the feedback? Was it the microphone or the speaker? If you said “actually, feedback is a system; it’s not caused by one or the other, both the speaker, the microphone and a certain combination of settings and positioning are required to create the feedback loop,” then you’d be 100% correct!
The Zen monks picked up on this ages ago when they asked “does the fish move the water, or does the water move the fish?” Likewise, with Bitcoin, I think the only rational way to understand Bitcoin’s price action is as a part of a system. Let’s return to the topic of the miners and the price for a moment.
The Bitcoin Miner-Price Feedback Loop
Source: author’s diagrams
One of the pillars of Bitcoin’s security comes from the huge amount of hash power of the network and the globally distributed mining network. These miners are incentivized to mine Bitcoin and to act in the best interest of the network. As they do this, the system gets more robust, which raises confidence, and attracts more users. Since we know that there are a limited number of Bitcoin that can ever exist, an increase in the user base pushes up the price, which in turn attracts more miners.
Conclusion
I hope that I have challenged you to think in new ways about Bitcoin. Is it always proper to think in linear scale time when Bitcoin is a logarithmic phenomenon? Is the Bitcoin price action the cause of the network’s growth, and the sole determinant of the hash power? Or, is the price simply a piece of the puzzle that we can come to understand and model by studying and understanding the system itself?
Cheers,
Hans
This article was published first in Crypto Blue Chips.
Disclosure: I am/we are long BTC-USD. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Original Source https://ift.tt/2rL8Gi0
0 notes
vanessawestwcrtr5 · 5 years
Text
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Time Compression
I have presented my case for the point of view that Bitcoin (BTC-USD)(COIN)(OTCQX:GBTC) is a log scale phenomenon many times. However, if this happens to be your first time reading one of my articles, or any article on Bitcoin for that matter, consider the charts below.
Source: Blockchain.com and author’s charts
Here’s the hash power of the Bitcoin network in linear scale. Not very meaningful, is it? But when we flip the Y-axis to log scale…
Source: Blockchain.com and author’s charts
That’s better, isn’t it? Look at all the information that we just couldn’t see before, like what happened in 2011 and 2014. For the sake of my regular readers, we’ll move on from this topic which I feel like I may have beat to death.
However, further examination has shown that there may still be some life left in this log-scale horse. So, today we’re going to talk about an interesting stat that we can pull from the Bitcoin network, total transactions.
What are total transactions?
When you hear me talk about total transactions, I’m referring to the running total of all Bitcoin transactions that have ever been transmitted and confirmed on the Bitcoin blockchain. This number cannot go down, because it’s a running count. If there are 10 transactions sent per day, then the number grows by tens. If there are thousands, then it grows by thousands. But, if the number stops growing, then Bitcoin is actually dead.
Now then, since the total transaction count can tell us if Bitcoin is still alive, and we know that it grows faster as the frequency of transactions increases (and slower if they decrease, of course), I have suggested that there are two novel uses for this piece of data.
It can be used as a proxy for time. The more transactions are broadcast, the “older” Bitcoin is.
It acts like a sort of trend line, from which we can gauge the disparity between the current epoch and the price.
An inquisitive follower on Twitter (TWTR) noted that since Bitcoin’s price has tended to increase over time, you could find a positive correlation with anything else that increases over time:
This is true and a valid concern. However, I believe we can do better than simply snapping a trend line on a data set over time. Let me show you what I mean.
Source: Blockchain.com and author’s charts
You’ve probably seen this chart before. But, there’s another thing you may not have noticed. This chart has a Y-axis in log scale, and yet the X-axis is in constant time, which is linear scale. Do you see how the chart seems to curve off to the right? The data is actually following a log curve in log scale. What does this mean? See the chart below for a helpful illustration of this curve.
Source: Awe and Wonder via Medium
Is there in fact a way to look at the X-axis in log scale? And if there was a way, is it useful or any better?
I have good news, there is a way and I think it’s very useful for a number of reasons. Do you remember how I said the total transactions could be a proxy for time? Let’s put those on the X-axis and the price on the Y-axis, just for kicks.
Source: Blockchain.com and author’s charts
The total transactions here are set to display in log scale, and notice that the chart is now more of a straight line, rather than a logarithmic curve? Now, scroll back up to the price chart that I posted above (the one with the white background) with time as the X-axis. Do you notice something else that’s peculiar? I’ll give you a hint, the chart gets compressed as you move forward in time.
Bitcoin is not just getting bigger, it’s getting faster as it grows too. Measuring this in linear scale time forces you to do one of two things, draw a curve like Awe & Wonder has done, or compress time as well if you want to run a linear regression model. I have chosen the latter here, and to check that this relationship is actually stronger, I did a little test.
I ran a regression analysis on the log price over linear time, and then compared that to the log price over log total transactions. The results confirmed my suspicions.
Log Price / Time Log Price / Log Transaction Count R2 0.866 0.922
This may not seem like a huge difference, but if my theory is correct, the log/log relationship will strengthen over time while the log/linear time relationship grows steadily weaker. (You can’t very well fit a linear trend line to curved data.)
So, time is speeding up?
Exactly! But this shouldn’t really surprise you, since every year we produce more data than the year before, and computers have been increasing in price/performance exponentially for more than 100 years. It’s almost like we’re being sucked into a technological singularity…
Causation
One of the things that I hear the most is, “your models don’t prove causation.” Thanks for that. In fact, I can guarantee that someone reading this will post exactly that in the comment section. Yes, for the millionth time, correlation does not imply causation. However, I contend that there is much more subtlety in the world than we realize.
For example, just the other day I posted an article that validated some of my underlying assumptions about the Bitcoin price. Specifically, we used nonparametric statistics to show that there was a relationship between the Bitcoin price and the network statistics (daily transactions, unique addresses and such).
A chart that I created from this process was based on the ranking of these statistics from high to low. You may remember this chart:
Source: Hans Hauge via Seeking Alpha
I really liked this chart, so I imported it into my new charting library. When I did that, I noticed several things. See below:
Source: Blockchain.com and author’s charts
First of all, you may have noticed that there seems to be a giant cluster of points near the bottom right of the graph. Second, you may have noticed that the green and red dots seem to change direction since around the start of 2018. Both these things can be explained by the simple fact that my data set contains points from every 48 hours from 2009 up until 2017. Starting around the end of 2017, I have data points every 24 hours. So, that means there’s twice as many points this year, which drags the “tip of the spear” down. For now, I plan to leave this as-is. But, at some point in the future, I may make an adjustment to account for this disparity.
The third thing I noticed was that there’s no purple in the top left. Why is that? Well, normally my charts don’t go back to 2009, because I’m looking at the price, and there simply wasn’t one back then. But, that raises a new question. Let’s zoom in on the top left quadrant of the chart.
Source: Blockchain.com and author’s charts
I have conveniently placed my mouse over the first point in time where we have a price for Bitcoin (according to blockchain.com). That date was August 18th, 2010. The question I have for you is this: “why did the number of daily transactions, hash power, unique addresses in use, and the running count of all Bitcoin transactions increase between January of 2009, and August of 2010?”
It’s a simple question. So, what’s your answer? The Bitcoin network grew steadily for 20 months before there was a price, why? We’ve beat the living heck out of the causation horse, haven’t we? The growth of the network couldn’t possibly drive the price, could it?
Stranger things have happened. After all, Metcalfe’s Law was used to successfully predict the revenue of Facebook (FB) and Tencent (OTCPK:TCTZF)(OTCPK:TCEHY). Perhaps the value does come from the network?
Source: Journal of Computer Science and Technology, 2015
Feedback Loops
Have you ever been at a concert, and the musician got the microphone too close to the speakers? What happened? If you’ve ever had that terrible experience then you know what I’m talking about. The sound coming out of the speakers goes back into the microphone, which goes back into the speakers. No sooner does this happen then that original noise (usually a high pitch squeal) comes back out of the speakers louder than it was the first time. This sound gets louder and louder until someone turns off the sound system, or the microphone gets repositioned, or everyone’s heads simultaneously explode.
So, what caused the feedback? Was it the microphone or the speaker? If you said “actually, feedback is a system; it’s not caused by one or the other, both the speaker, the microphone and a certain combination of settings and positioning are required to create the feedback loop,” then you’d be 100% correct!
The Zen monks picked up on this ages ago when they asked “does the fish move the water, or does the water move the fish?” Likewise, with Bitcoin, I think the only rational way to understand Bitcoin’s price action is as a part of a system. Let’s return to the topic of the miners and the price for a moment.
The Bitcoin Miner-Price Feedback Loop
Source: author’s diagrams
One of the pillars of Bitcoin’s security comes from the huge amount of hash power of the network and the globally distributed mining network. These miners are incentivized to mine Bitcoin and to act in the best interest of the network. As they do this, the system gets more robust, which raises confidence, and attracts more users. Since we know that there are a limited number of Bitcoin that can ever exist, an increase in the user base pushes up the price, which in turn attracts more miners.
Conclusion
I hope that I have challenged you to think in new ways about Bitcoin. Is it always proper to think in linear scale time when Bitcoin is a logarithmic phenomenon? Is the Bitcoin price action the cause of the network’s growth, and the sole determinant of the hash power? Or, is the price simply a piece of the puzzle that we can come to understand and model by studying and understanding the system itself?
Cheers,
Hans
This article was published first in Crypto Blue Chips.
Disclosure: I am/we are long BTC-USD. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Original Source https://ift.tt/2rL8Gi0
0 notes
teiraymondmccoy78 · 5 years
Text
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Bitcoin: Time Compression, Causation And Feedback Loops – Bitcoin USD (Cryptocurrency:BTC-USD)
Time Compression
I have presented my case for the point of view that Bitcoin (BTC-USD)(COIN)(OTCQX:GBTC) is a log scale phenomenon many times. However, if this happens to be your first time reading one of my articles, or any article on Bitcoin for that matter, consider the charts below.
Source: Blockchain.com and author’s charts
Here’s the hash power of the Bitcoin network in linear scale. Not very meaningful, is it? But when we flip the Y-axis to log scale…
Source: Blockchain.com and author’s charts
That’s better, isn’t it? Look at all the information that we just couldn’t see before, like what happened in 2011 and 2014. For the sake of my regular readers, we’ll move on from this topic which I feel like I may have beat to death.
However, further examination has shown that there may still be some life left in this log-scale horse. So, today we’re going to talk about an interesting stat that we can pull from the Bitcoin network, total transactions.
What are total transactions?
When you hear me talk about total transactions, I’m referring to the running total of all Bitcoin transactions that have ever been transmitted and confirmed on the Bitcoin blockchain. This number cannot go down, because it’s a running count. If there are 10 transactions sent per day, then the number grows by tens. If there are thousands, then it grows by thousands. But, if the number stops growing, then Bitcoin is actually dead.
Now then, since the total transaction count can tell us if Bitcoin is still alive, and we know that it grows faster as the frequency of transactions increases (and slower if they decrease, of course), I have suggested that there are two novel uses for this piece of data.
It can be used as a proxy for time. The more transactions are broadcast, the “older” Bitcoin is.
It acts like a sort of trend line, from which we can gauge the disparity between the current epoch and the price.
An inquisitive follower on Twitter (TWTR) noted that since Bitcoin’s price has tended to increase over time, you could find a positive correlation with anything else that increases over time:
This is true and a valid concern. However, I believe we can do better than simply snapping a trend line on a data set over time. Let me show you what I mean.
Source: Blockchain.com and author’s charts
You’ve probably seen this chart before. But, there’s another thing you may not have noticed. This chart has a Y-axis in log scale, and yet the X-axis is in constant time, which is linear scale. Do you see how the chart seems to curve off to the right? The data is actually following a log curve in log scale. What does this mean? See the chart below for a helpful illustration of this curve.
Source: Awe and Wonder via Medium
Is there in fact a way to look at the X-axis in log scale? And if there was a way, is it useful or any better?
I have good news, there is a way and I think it’s very useful for a number of reasons. Do you remember how I said the total transactions could be a proxy for time? Let’s put those on the X-axis and the price on the Y-axis, just for kicks.
Source: Blockchain.com and author’s charts
The total transactions here are set to display in log scale, and notice that the chart is now more of a straight line, rather than a logarithmic curve? Now, scroll back up to the price chart that I posted above (the one with the white background) with time as the X-axis. Do you notice something else that’s peculiar? I’ll give you a hint, the chart gets compressed as you move forward in time.
Bitcoin is not just getting bigger, it’s getting faster as it grows too. Measuring this in linear scale time forces you to do one of two things, draw a curve like Awe & Wonder has done, or compress time as well if you want to run a linear regression model. I have chosen the latter here, and to check that this relationship is actually stronger, I did a little test.
I ran a regression analysis on the log price over linear time, and then compared that to the log price over log total transactions. The results confirmed my suspicions.
Log Price / Time Log Price / Log Transaction Count R2 0.866 0.922
This may not seem like a huge difference, but if my theory is correct, the log/log relationship will strengthen over time while the log/linear time relationship grows steadily weaker. (You can’t very well fit a linear trend line to curved data.)
So, time is speeding up?
Exactly! But this shouldn’t really surprise you, since every year we produce more data than the year before, and computers have been increasing in price/performance exponentially for more than 100 years. It’s almost like we’re being sucked into a technological singularity…
Causation
One of the things that I hear the most is, “your models don’t prove causation.” Thanks for that. In fact, I can guarantee that someone reading this will post exactly that in the comment section. Yes, for the millionth time, correlation does not imply causation. However, I contend that there is much more subtlety in the world than we realize.
For example, just the other day I posted an article that validated some of my underlying assumptions about the Bitcoin price. Specifically, we used nonparametric statistics to show that there was a relationship between the Bitcoin price and the network statistics (daily transactions, unique addresses and such).
A chart that I created from this process was based on the ranking of these statistics from high to low. You may remember this chart:
Source: Hans Hauge via Seeking Alpha
I really liked this chart, so I imported it into my new charting library. When I did that, I noticed several things. See below:
Source: Blockchain.com and author’s charts
First of all, you may have noticed that there seems to be a giant cluster of points near the bottom right of the graph. Second, you may have noticed that the green and red dots seem to change direction since around the start of 2018. Both these things can be explained by the simple fact that my data set contains points from every 48 hours from 2009 up until 2017. Starting around the end of 2017, I have data points every 24 hours. So, that means there’s twice as many points this year, which drags the “tip of the spear” down. For now, I plan to leave this as-is. But, at some point in the future, I may make an adjustment to account for this disparity.
The third thing I noticed was that there’s no purple in the top left. Why is that? Well, normally my charts don’t go back to 2009, because I’m looking at the price, and there simply wasn’t one back then. But, that raises a new question. Let’s zoom in on the top left quadrant of the chart.
Source: Blockchain.com and author’s charts
I have conveniently placed my mouse over the first point in time where we have a price for Bitcoin (according to blockchain.com). That date was August 18th, 2010. The question I have for you is this: “why did the number of daily transactions, hash power, unique addresses in use, and the running count of all Bitcoin transactions increase between January of 2009, and August of 2010?”
It’s a simple question. So, what’s your answer? The Bitcoin network grew steadily for 20 months before there was a price, why? We’ve beat the living heck out of the causation horse, haven’t we? The growth of the network couldn’t possibly drive the price, could it?
Stranger things have happened. After all, Metcalfe’s Law was used to successfully predict the revenue of Facebook (FB) and Tencent (OTCPK:TCTZF)(OTCPK:TCEHY). Perhaps the value does come from the network?
Source: Journal of Computer Science and Technology, 2015
Feedback Loops
Have you ever been at a concert, and the musician got the microphone too close to the speakers? What happened? If you’ve ever had that terrible experience then you know what I’m talking about. The sound coming out of the speakers goes back into the microphone, which goes back into the speakers. No sooner does this happen then that original noise (usually a high pitch squeal) comes back out of the speakers louder than it was the first time. This sound gets louder and louder until someone turns off the sound system, or the microphone gets repositioned, or everyone’s heads simultaneously explode.
So, what caused the feedback? Was it the microphone or the speaker? If you said “actually, feedback is a system; it’s not caused by one or the other, both the speaker, the microphone and a certain combination of settings and positioning are required to create the feedback loop,” then you’d be 100% correct!
The Zen monks picked up on this ages ago when they asked “does the fish move the water, or does the water move the fish?” Likewise, with Bitcoin, I think the only rational way to understand Bitcoin’s price action is as a part of a system. Let’s return to the topic of the miners and the price for a moment.
The Bitcoin Miner-Price Feedback Loop
Source: author’s diagrams
One of the pillars of Bitcoin’s security comes from the huge amount of hash power of the network and the globally distributed mining network. These miners are incentivized to mine Bitcoin and to act in the best interest of the network. As they do this, the system gets more robust, which raises confidence, and attracts more users. Since we know that there are a limited number of Bitcoin that can ever exist, an increase in the user base pushes up the price, which in turn attracts more miners.
Conclusion
I hope that I have challenged you to think in new ways about Bitcoin. Is it always proper to think in linear scale time when Bitcoin is a logarithmic phenomenon? Is the Bitcoin price action the cause of the network’s growth, and the sole determinant of the hash power? Or, is the price simply a piece of the puzzle that we can come to understand and model by studying and understanding the system itself?
Cheers,
Hans
This article was published first in Crypto Blue Chips.
Disclosure: I am/we are long BTC-USD. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
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jackbatchelor3 · 5 years
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