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Last time it was posted I was the one who asked, so maybe we can add that the one who just got it answered will be the one to explain next. {nm}

Posted by: Ruthian23 on Oct 24, 12:21 in response to islander's post also there is the mtc/rs corollary which states...

Mtc 48 puss 13 time 9 rum 2.5 anonymous {nm} notfabio Oct 24, 11:42

Tagging MTC [PUSNB] [ANONM] [RUMDI] [NTIME] {nm} grammar Oct 24, 11:53

Thanks N. {nm} grammar Oct 24, 11:53

With the MTC/RS rule in effect... BionicMoron Oct 24, 11:54

What is the MTC/RS Effect? {nm} dioneta Oct 24, 12:08

The rule, as I've been told it (rule is the wrong word, as it's not always true, but for lack of a better word) is that... Ruthian23 Oct 24, 12:16

also there is the mtc/rs corollary which states "whenever someone posts about the mtc/rs rule, someone will ask what the mtc/rs rule is" {nm} islander Oct 24, 12:18

Last time it was posted I was the one who asked, so maybe we can add that the one who just got it answered will be the one to explain next. Ruthian23 Oct 24, 12:21

Nothing's perfect, but the RS/MTC rule has been spectacularly wrong only a few times this year, which is a better record than most other Roger More Oct 24, 12:34

If MTC is well above RS, then the movie wil perform above even MTC. If MTC well less than RS the movie will perform even lower than MTC. {nm} BionicMoron Oct 24, 12:17

Couple of clarification questions on this: 1. What do we consider "well" above or below? 2.What % of the time would people say this "works?" {nm} Ruthian23 Oct 24, 12:30

That's a grey area but I go with 25% {nm} Roger More Oct 24, 12:43

Thanks. Just one more clarification, with that number are you saying 25% more or less when it comes to the predictions (like a 50M Ruthian23 Oct 24, 12:54

25% is the answer for question 1. :-) xiayun Oct 24, 13:08

Yes. Using the predictions for PNAC3 as an example, MTC was 38, RS was 30. RS*1.25=37.5<MTC {nm} Roger More Oct 24, 13:10

And to your second question (earlier) - it picks the direction of the adjust 65% of the time, up there with other strong predictors Roger More Oct 24, 13:14

Thanks. I know how annoying I have to be with all the questions, so I appreciate the patience. {nm} Ruthian23 Oct 24, 13:16

It's not annoying. {nm} Roger More Oct 24, 13:24

Thanks for responses.. and good question Ruthian23 :) {nm} dioneta Oct 24, 12:44

Those are good numbers for Anonymous considering it is opening to limited release... {nm} b4bad Oct 24, 13:19





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Emily Blunt (EBLUN) 40 124.62 (+0.66)          Monica Barbaro (MBARB) 10 121.35 (+1.00)          Sydney Sweeney (SSWEE) 14 30.31 (+0.35)          Ariana Grande (AGRAN) 14 168.75 (+2.08)          Ryan Gosling (RGOSL) 4 128.31 (-0.31)          Dua Lipa (DLIPA) 3 94.62 (-0.25)          Ruby Rose (RROSE) 4 84.39 (-0.25)          Kiernan Shipka (KSHIP) 4 84.37 (-0.25)          Sydney Sweeney (SSWEE) 20000 30.31 (+0.35)          Melissa Barrera (MBARR) 5 48.97 (-0.16)          Fede Alvarez (FALVA) 6 69.81 (-0.25)          Lewis Tan (LTAN) 6 122.03 (-0.66)          Sophie Thatcher (STHAT) 6 21.92 (-0.12)          Split Fiction (SPFIC) 20000 42.13 (-4.99)          A Great Awakening (AGAWK) 150000 10.00 (0.00)          Jonathan Bailey (JBAIL) 20 150.15 (-1.51)          Love is Not the Answer (LINTA) 150000 5.00 (0.00)          Frozen III (FROZ3) 5 301.60 (+1.45)          Alien sequel (ALIE6) 5 73.81 (+0.30)          Love is Not the Answer (LINTA) 150000 5.00 (0.00)          Gremlins 3 (GREM3) 9 34.57 (+0.23)          Frozen III (FROZ3) 6 301.60 (+1.45)          A Great Awakening (AGAWK) 150000 10.00 (0.00)          The Resurrection of the Christ (RESUR) 8 124.88 (-0.40)          Godzilla x Kong: Supernova (GOKO3) 8 148.41 (+0.97)          Supergirl (SUPGR) 4 175.27 (-0.19)          Minions 3 (MNIO3) 5 299.70 (+0.97)          Disclosure Day (SKIES) 20 158.28 (+2.96)          Disclosure Day (SKIES) 20 158.28 (+2.96)          Lee Cronin's The Mummy (TMUMY) 5 43.83 (-0.11)          Normal (NORML) 5 20.29 (+0.09)          Ready or Not 2: Here I Come (RONO2) 15 28.62 (+0.29)          You, Me & Tuscany aka Italianna (ITLIA) 5 17.77 (-0.06)          The Super Mario Galaxy Movie (MARI2) 4 474.74 (+0.28)          Hunting Matthew Nichols (HUNMN) 10 4.56 (+0.04)          Fall 2 (FALL2) 8 4.72 (+0.03)          They Will Kill You (TWKYU) 10 17.22 (+0.14)          Dog Stars (DOGST) 4 57.31 (-0.16)          Project Hail Mary (PRJHM) 4 193.96 (-0.47)          Hit Me Hard And Soft: The Tour (HMHAS) 255 25.00 (-0.10)          Avengers: Secret Wars (AVNG6) 150000 461.17 (+1.01)          Reminders of Him (RMNDH) 8 21.04 (-0.14)          Hoppers (HOPPR) 10 140.88 (+1.01)          Scream 7 (SCRM7) 5 76.83 (-0.26)          How to Make a Killing aka Huntin (HNGTN) 5 18.07 (-0.07)          Dreams (DREMS) 1850 1.12 (-0.02)          Wuthering Heights (WUTHR) 4 55.38 (+0.04)          Good Luck, Have Fun, Don’t Die (GLHFD) 4 17.52 (-0.01)          Crime 101 (CRIM1) 6 38.39 (-0.16)          A Great Awakening (AGAWK) 150000 10.00 (0.00)