#16 vs 544.....

[lesbianralzarek]

i was so excited to finally see something nice about wyll (im counting compliments to his VA as wyllposting) on reddit and then scrolled down a singular post. why do i keep letting myself be disappointed?

#16 vs 544..... #not putting this in his tag #i want his tag to be an oasis where i can pretend everyone loves him and is so so niceys #bg3

[mydarlingbat]

I will surely give you a lovely list of comics the joker appeared in. Batman adventures continue #12 Batman the max. Arkham dreams #2 Batman confidential #11 batman ninja turtles 3 # 5 hitman #3 Batman The shadow #4 league of justice. Tales from the dark multiverse / the death of Superman #1 Batman #353 Batman #7 Batman #1 Batman adventures #16 the Batman strikes #9 Batman fun house of evil. Batman death by design. The batman who laughs #1 the Batman who laughs # 2 Batman secrets. Batman cacophony #3 legends of the dark Knight # 200 Batman legends of the dark Knight # 145 Batman Gotham Knights #73 Batman dredd / die laughing. The Joker mask. Batman Gotham adventures #31 detective comics annual #5 Batman vs the punisher. two face year one #2 Batman #544 Batman Arkham unhinged #29 #30 Batman unhinged # 28 Batman 1992 annual. Batman Arkham knight. Batman #649 Batman #719 batman Europe #2 legends of the dark Knight #195 catwoman #63 legends of the dark Knight #16 batman adventures #1 Batman adventures #3 Batman adventures #30 Batman 2016 48# batman the white knight #7 the spectre #51 batman annual #1 Joker switch. Wonder woman #165 #167 elseworlds finest. Batman Gotham after midnight #8 dc super friends. Batman / Harley and ivy #1 Batman #146 batman #37 the Joker last laugh #6 Batman legends of the dark Knight # 10 Batman last knight on earth. Batman legends of the dark Knight #50 batman Odyessy # 6 #2 injustice ground zero #6 Batman ego.Batman Europa 1#2#3#4 # Dc challenge #12. the Batman strikes #28. The heart of hush. The Joker 80th anniversary 100 page super. Mother panic Gotham ad. The last knight on earth. JLA Justice League of Arkham. Batman legends of the dark Knight #22. Batman rebirth #48. Joker advocate. Death of the family. Batman endgame. Batman confidential # 11. The man who laughs. Batman cacophony # 3. Batman #650. Batman the Prince charming #2. The Batman who laughs #4. Detective Comics #1008. Batman legends of the dark Knight #19 and 20. Batgirl #1. Catwoman #63. The Joker's apprentice. Killer smile. Batman zero year one #25 #23#22. Batman damned. Doomsday clock #6. Batman legends of the dark Knight # 105. Justice League annual issue #2 1988. Outsiders #3. Batman Arkham City #1. azrael #53. Batman the white Knight issue #1 detective comics #625. Detective Comics #729.

/ load of batjokes comics ;)

#batman x joker #batman and joker #comics #batjokes #batman #comic books #dc comics #the joker #batmm #dcedit #my edits #list

[chibanova]

I posted 4,393 times in 2022

That's 4,361 more posts than 2021!

285 posts created (6%)

4,108 posts reblogged (94%)

Blogs I reblogged the most:

@indigoartistqueen

@endless---possibility

@homosax

@pocketramblr

@daily-dose-of-dopamine

I tagged 1,474 of my posts in 2022

#loz - 180 posts

#legend of zelda - 95 posts

#linked universe - 86 posts

#spirit tracks - 64 posts

#asks - 54 posts

#the owl house - 43 posts

#ha - 43 posts

#toh - 40 posts

#for later - 35 posts

#zelda - 34 posts

Longest Tag: 140 characters

#love how capcom kept the same zelda design as wind waker for minish cap but made a whole new one for four swords this totally doesn’t bug me

My Top Posts in 2022:

#5

Can you draw Sky being mischievous and pulling some pranks or roasting someone, his dialogue options are so funny and I think we don't appreciate his sass enough :)

See the full post

319 notes - Posted June 10, 2022

#4

See the full post

544 notes - Posted May 15, 2022

#3

Ok. So. Absolutely amazing trailer, name and release date. But.

WHERES ZELDA??????????

604 notes - Posted September 13, 2022

#2

Bun

973 notes - Posted April 16, 2022

My #1 post of 2022

JACK BLACK SOUNDING PERFECT AS BOWSER VS CHRIS PRATT WITH THE MILDEST ITALIAN ACCENT EVER

Also

DID THEY ISEKAI MARIO??????????

2,191 notes - Posted October 6, 2022

Get your Tumblr 2022 Year in Review →

#tumblr2022 #year in review #my 2022 tumblr year in review #your tumblr year in review

[freetriumphwasteland-blog]

What Are The Healing Properties Of Amethyst?

Introduction What is Citrine? Citrine is a variety of quartz that has been colored by iron. Its color ranges from pale yellow to deep orange-yellow, and it can be transparent or translucent. The name comes from the French word "citron," which means lemon in English; this is because citrine has an appearance similar to that of lemons. Citrine has been known since ancient times, but its true origin was not discovered until the 19th century when scientists found out that it was due to impurities in amethyst crystals (another type of quartz). They also discovered how these impurities affected the coloration of amethyst stones: if there's enough iron present in them, then they turn into citrine! The Spiritual Properties of Citrine Citrine is a stone that has been used for thousands of years. It has a rich history and folklore, which makes it a powerful tool in many cultures. Citrine is connected to the sun because of its yellow color and was often used as an offering to the gods during rituals. It's also said that citrine can help you connect with your higher self, so you may find yourself feeling more spiritual when wearing or carrying this crystal around with you. Some people believe that citrine protects against negative energy by absorbing it before it gets into our bodies or homes (and thus causing harm). Others say that citrine helps us release unwanted emotions from our pasts so we no longer carry them forward into our present lives The Emotional Properties of Citrine Citrine is a stone that promotes positivity and joy. It helps you to feel more optimistic about life, which can help you to deal with stress in a more positive way. Citrine also encourages self-expression, so if you're someone who always keeps their feelings inside or doesn't like talking about them, citrine may be able to help you open up more easily. It's also good for anyone who struggles with shyness or social anxiety because it allows them to speak their mind without feeling embarrassed or judged by others around them. As well as helping people who struggle with confidence issues in their everyday lives, citrine is also said to enhance creativity - making this an ideal stone for artists! Instagram Gallery 3698 403 7405 279 6970 814 9000 466 4393 983 4966 562 1033 198 5776 735 6143 707 1481 161 7759 868 3310 551 2475 520 7984 326 8014 36 2855 544 1886 822 8560 614 Recent Posts - What to know before wearing a Garnet stone? - What is Blue Sapphire? Why Blue sapphire is the most Powerful Gemstone? - Can I wear Emerald stone (Panna) without consultation? - Unheated Ruby vs. Heated Ruby Citrine For you - Natural 6.73 Carat Citrine Stone GII India Lab Certified ₹6,000.00 ₹3,365.00 - Natural 7.61 Carat Citrine Stone GII India Lab Certified ₹6,000.00 ₹3,805.00 - Natural 4.18 Carat Citrine Stone GII India Lab Certified ₹4,000.00 ₹2,090.00 Contact Us FIND YOUR BEST STONE FROM BELOW COLLECTION Blue Sapphire Yellow Sapphire Emerald Ruby Opal Amethyst Catseye Blue Topaz Yellow Topaz Feroza Garnet Malachite Pearl Red Coral Akik White Coral Peridot Citrine Aquamarine Round CVD Cushion CVD Oval CVD Princess CVD Heart CVD Emerald CVD Radiant CVD Asscher CVD Baguette CVD Pear CVD Marquise CVD Round HPHT Cushion HPHT Oval HPHT Princess HPHT Heart HPHT Emerald HPHT Radiant HPHT Asscher HPHT Baguette HPHT Pear HPHT Marquise HPHT 1 Mukhi 2 Mukhi 3 Mukhi 4 Mukhi 5 Mukhi 6 Mukhi 7 Mukhi 8 Mukhi 9 Mukhi 10 Mukhi 11 Mukhi 12 Mukhi 13 Mukhi 14 Mukhi 15 Mukhi 16 Mukhi 17 Mukhi 18 Mukhi 19 Mukhi 20 Mukhi 21 Mukhi Gauri Shankar Garbh Gauri Shankar Savaar Sidhha Mala Jaap Mala Indra Mala Ganesha Ganesha Read the full article

[bannedyouth]

rules: answer the 30 questions and tag 10 blogs you'd like to know better!

thank you @lemon-bat for tagging me!! <33

1. name/nickname: char / jude

2. gender: female

3. star sign: cancer 

4. height: 5'5 but literally everyone in my life argues with me about it so i could be shorter lmfao

5. time: 6:02 pm

6. birthday: june 22nd baby!!

7. favorite bands: metronomy, gorillaz and the front bottoms, they all hold a special place in my heart

8. favorite solo artists: wayyy too many, rn i’ve been listening to a lot of willow smith, ariana grande and doja cat tho!

9. song stuck in my head: wiley - too many man, don’t ask why it’s just really been scratching the right part of my brain recently

10. last movie: mitchells vs the machines! (highly recommend its such a sweet n fun movie)

11. last show: bojack horseman

12. when did i create this blog: 2013 in august apparently,, my blogs nearly a decade old we love to see it

13. what i post: anything i want honestly, mostly things i find funny if im feeling down!! also any cool art i see C:

14. last thing googled: new girl order

15. other blogs: @ufotears but i haven’t posted in like years i think??

16. do i get asks: not anymore but asks make me kinda nervous anyway haha

17. why i chose my url: it was really just how i portrayed my life at the time, i felt like my youth was being prohibited from me and all i rly had was tumblr to vent abt it. it feels kind of edgy now i wanna change it pff

18. following: 226, defo wanna find more ppl to follow tho!

19. followers: 544

20. average hours of sleep: 6 or 7, i try to aim for 8 but never get it 

21. lucky number: i don’t have one!

22. instruments: i can play a few chords on a guitar, gave it up ages ago tho

23. what am i wearing: bambi pjs 

24. dream trip: I want to go to madurodam in the netherlands so bad! also shopping in tokyo!

25. favorite food: chili vodka pasta has my heart forever

26. nationality: irish

27. favorite song: rheya - wild nothing

28. last book read: percy jackson and the titans curse

29. top three fictional universes i'd like to live in: any sanrio universe. that’s it, that is all.

30. favorite color: red or peachy pink or baby blue, it changes between these three a lot

i’m gonna tag @nofunatall cos they’re cool & @bossbabysassistant if they ever see it lmaoo but that’s all !! peace out thanks again @lemon-bat for the tag <3

#tagged #long post

[duggardata]

Jinger is Pregnant!

Get The Data Here.

On May 28th, 2020, Jinger (Duggar) + Jeremy Vuolo announced via People that their Firstborn, Felicity, is going to be a big sister.  Apparently, they’re expecting another little girl.  On a sadder note, the Vuolos also shared that Jinger suffered a miscarriage in November 2019, just prior to this pregnancy.  They didn’t share the news at the time, so that’s another new data point for them.

After the jump, you’ll find my analysis of the two new data points—i.e., the 2019 Miscarriage and Ongoing 2020 Pregnancy.  I’ll analyze— 

For the Miscarriage...  When did it happen?  How far along was she, and what was her due date?  When would the baby have been born?

For the Current Pregnancy...  When is she due?  When will she deliver?

For Both Pregnancies...  How did their timing line up with the Predictor?  What’s their impact on Jinger + Jeremy’s Procreative Pace and ESOQ?

Looking Ahead...  When should we expect Vuolo #3?

The Miscarriage

For a recap of everything that’s known about Jinger’s 2019 Miscarriage, please see this Post.  As explained fully in the Post, Duggar Data is using a Loss Date of November 26, 2019 for Jinger’s Miscarriage.  As for Due Date...  We know it was early in the pregnancy, but don’t know exactly how far along.  Assuming a loss at 6 Weeks, which is the default assumption for cases like this, the baby’s Due Date would’ve been July 21, 2020.  Neither date is confirmed, but I think those are decent estimates.

The Predictor would’ve expected Jinger + Jeremy to announce the pregnancy at 82 Days Along, since that is how far along they were when they announced their 1st Pregnancy.  Thus, their Theoretical Pregnancy Announcement with Vuolo #2 would’ve been January 5, 2020, based an EDD of July 21, 2020.

Based on an Estimated Due Date of July 21, 2020, Predictor 2020 would have expected Jinger to give birth on July 20, 2020.  (Felicity was 1 Day Early—and, the Predictor expects Vuolo #2 to be 1 Day Early, too.)  Vuolo #2’s Theoretical DOB is July 20, 2020, had the miscarriage not happened.  Doing the math, the Vuolos’ Theoretical Felicity–to–Child #2 Spacing would’ve been 732 Days.

The Current Pregnancy

Obviously, the 732–Day Spacing isn’t to be, since Jinger miscarried.  Jinger is now pregnant again, though.  Here’s what we know about her pregnancy...

According to People, Jinger was 15 Weeks Along on May 28, 2020—the date she and Jeremy announced.  Taking that to mean that Jinger was in Week 15 (Week 15, Day 0—Week 15, Day 6), but not necessarily Exactly 15 Weeks, we can calculate that Jinger’s Due Date is between November 13–19.  Since we don’t have anything else to go on, Duggar Data will simply use the mid–point, November 16, 2019, as Vuolo #2*’s Estimated Due Date.

Based on that EDD, plus Jinger’s history of delivering Felicity 1 Day Early, we can come up with a Projected DOB of November 15, 2020 and a Projected Miscarriage–to–Vuolo #2* Spacing of 355 Days.  Neat.

Early, Late, or What?

Sort of a complicated question, mostly due to recent changes in the Predictor.  When Felicity Nicole arrived, the Predictor set the Vuolos’ Procreative Pace at 621 Days—i.e., their Marriage–to–Felicity Spacing—because Felicity was their only data point and wasn’t a Honeymoon Baby.  As a result, it expected Vuolo #2 to arrive 621 Days Later, on March 31, 2020.  It expected the Vuolos would announce that pregnancy on September 16, 2019.  But–for the miscarriage, it looks like Jinger + Jeremy would’ve had baby news in January 2020...  Under the Old Predictor, they would’ve been late, but only by a few months.

It’s a very different story under Predictor 2020.  Instead of just using Marriage–to–Felicity as the Vuolo’s Procreative Pace, Predictor 2020 assumed that they would slow down for the 2nd Child in a manner that’s typical for Duggars.  Up until May 28, 2020, that slow–down—i.e., the 2nd Child Multiplier—was about 1.7015x...  So, Vuolo #2 was expected to arrive 621 Days * 1.7015 after Lissy, on June 9, 2021.  They were expected to announce the pregnancy November 24, 2020.  So...  Vuolo #2 and Vuolo #2* are actually early vs. Predictor 2020’s guess.

Finally, you may be curious:  “How does Vuolo #2*’s Projected DOB compare with what Predictor 2020 would’ve expected, if they had announced Jinger’s miscarriage in November?”  The Predictor would’ve set the Vuolo’s Procreative Pace at 732 Days—i.e., the Theoretical Felicity–to–Vuolo #2 Spacing—and the next Vuolo would’ve been expected 732 Days after the miscarriage.  Doing the math, that corresponds with a DOB of November 28, 2021 and Baby News on May 14, 2021.  They’re >1 Year Early vs. that estimate!

TL;DR   They’re actually early, sort of.

Impact on Spacing / ESOQ

As discussed above, the Vuolos’ Projected Procreative Pace was 1 Child Every 1,057 Days, post–Felicity.  This was based on their Marriage–to–Felicity Gap of 621 Days and the Duggar 2nd Child Multiplier (1.7015).  At that pace, they had an ESOQ of 7 Children.

Let’s take each new data point in turn, starting with Jinger’s 2019 Miscarriage.  The Miscarriage is treated as a 2nd Spacing.  Thus, Jinger + Jeremy’s spacing would no longer be estimated using the 2nd Child Multiplier; instead, the 732–Day Projected Felicity–to–Vuolo #2 Spacing would’ve become their new pace.  (That’s a huge acceleration vs. their prior 1057–Day pace, estimated using the 2nd Child Multiplier.)  Their ESOQ jumps to 9 Children.

Now, we factor in the data from Vuolo #2*, who is expected to arrive 355 Days after Jinger’s Miscarriage.  That 355–Day Spacing is treated as a 2nd Spacing, as well.  Since it’s not a 1st Spacing, it averages with Jinger + Jeremy’s other, non–1st Spacings, and that average is their new Procreative Pace.  Here, only one other spacing exists...  The 732–Day one associated with the Miscarriage.  So, the Vuolos’ Procreative Pace is now the average of 732 and 355 Days, or (732 + 355) / 2 = 544 Days.  That’s another acceleration.  Their ESOQ goes up accordingly to 12 Children.

Note that this radical shift is partially due to their long, long Marriage–to–Child #1 Spacing.  For most couples, Child #1 arrives very, very quickly—so quickly that it’s not feasible to think that the couple could maintain that pace.  For the Vuolos, that wasn’t the case.  The 2nd Child Multiplier greatly underestimated their Procreative Pace because, unlike couples with Honeymoon Babies, they could—and did—match or beat that 1st Spacing.  Despite this, I don’t think I will change how the 2nd Child Multiplier functions...  I think it makes sense to treat every couple the same because, as we can see with the Vuolos, it'll very quickly and easily correct itself once that couple announces Pregnancy #2.

When to Expect Vuolo #3

Vuolo #3 is expected to arrive 544 Days after Vuolo #2*.  If Vuolo #2* arrives as forecast on November 15, 2020, here’s what to expect for Vuolo #3—

Baby News   November 9, 2021

Due Date   May 13, 2022

Birthdate   May 12, 2022

Finally...  I’d like to point out that, until Jinger miscarried, Jinger + Jeremy were on–track to have Vuolo #2 almost exactly 2 Years after Felicity...  Almost as if it were planned that way.  Intriguing.

#jinger and jeremy #vuolo 2

[thegamemasternetwork]

I GOT INJURED DOING ACROBAT DARE! (bad idea) | Rebecca Zamolo

Rebecca had to go to the emergency room after her accident. First Rebecca Zamolo created “Preston crashed our prom inside our house!” Next Matt and Rebecca uploaded “Prom the music video challenge in 24 hours!” Finally the Game Master Network made “Last to stop touching evil fountain of truth wins challenge.” Now Rebecca must get her vision correct and she thinks by tricking her friends it will work. First she tries to faint in front of them to see the reaction. Next Rebecca tries something at the gym. Will it work? Rebecca has an accident at the gym though and must take a trip to the emergency room with Maddie. She blames her husband Matt. Was it his fault? Maybe if Matt tries for 24 hours to help he can make her happy. Maybe Rebecca will get her revenge. Do you think Rebecca can survive this challenge? Thanks for watching my funny entertainment mystery vlog videos in 2021!

Preorder Our Book – http://bit.ly/TGMSummerSchooled

The Game Master Network App Apple Store https://apps.apple.com/us/app/id15195… Google Play https://play.google.com/store/apps/de…

More awesome videos!

SSSniperwolf – Craziest Nail Art On Another Level https://www.youtube.com/watch?v=5TQCdVxMT8s

ZamFam Gaming – Ex Boyfriend Crashes House Party in Brookhaven Roblox https://www.youtube.com/watch?v=Fu17cP5XqA8&t=544s

Dangie Bros – $50 vs $500 Floating Tiny Houses! *BUDGET CHALLENGE* https://www.youtube.com/watch?v=CFocC_x2Tho

Aphmau – Minecraft But We Play As HELPFUL KITTENS!https://www.youtube.com/watch?v=XNgHUq0T4Sk

Get ZamFam merch! rebeccazamolo.com Rebecca Zamolo Social Media Instagram https://www.instagram.com/rebeccazamolo/ TikTok https://www.tiktok.com/@rebeccazamolo Twitter https://www.twitter.com/rebeccazamolo Facebook https://www.facebook.com/rebecca.zamolo Original Video Published 2021-05-05 16:05:40

The post I GOT INJURED DOING ACROBAT DARE! (bad idea) | Rebecca Zamolo appeared first on The Gamemaster Network.

#Clues #Riddles #DIY Projects #Challenges #Puzzles #Mysteries #Mind Games

[realtalkingpoints]

Another slight uptick in deaths vs infections ratio due to coronavirus in US.

US Coronavirus mortality rate by day, starting Wednesday March 11, 2020 using numbers as reported by CDC. 

Wednesday March 11, 2020 - (29 deaths/938 infections) = (0.03093) 

Thursday March 12, 2020 - (36 deaths/1,215 infections) = (0.02963) 

Friday March 13, 2020 - (41 deaths/1,629 infections) = (0.02517) 

Monday March 16, 2020 - (68 deaths/3,487 infections) = (0.01950)

Tuesday March 17, 2020 - (75 deaths/4,226 infections) = (0.01775)

Wednesday March 18, 2020 - (97 deaths/7,038 infections) = (0.01378)

Thursday March 19, 2020 - (150 deaths/10,442 infections) = (0.01437)

Friday March 20, 2020 - (201 deaths/15,219 infections) = (0.01321)

Monday March 23, 2020 - (400 deaths/33,404 infections) = (0.01197)

Tuesday March 24, 2020 - (544 deaths/44,183 infections) = (0.01267)

Wednesday March 25, 2020 - (737 deaths/54,453 infections) = (0.01353)

note: this is my own calculation of coronavirus death-rate.  CDC may use a more complicated formula to factor in other variables that occur after a patient is infected and before they are either cured or deceased (I haven’t even found an official CDC declaration of covid-19 mortality rate on their site).  But the numbers being reported from other countries and their corresponding death rates as reported, seem to work with this method. 

Stats as reported by CDC website, updated daily. Link here -> (CDC link)

[hufcanssaca-blog]

New Zealand v England 2019 (2 TEST, 5 T20I) 1080p Sport Event Longhorn Amazon Prime

    gowwwurl.com

  NZ vs. England 3rd Twenty20 (Nelson.

  Was updated on Sunday, 01 December 2019 10:03:59. 1st ODI, ICC Women's Championship 2017-2020, Sir Vivian Richards Stadium, North Sound. 2nd T20I, Afghanistan v West Indies 2019, Rajiv Gandhi International Cricket Stadium, Dehradun.

2nd T20I, West Indies Women v India Women 2019, Daren Sammy National Cricket Stadium, Gros Islet.

  v India Women 2019, Daren TQPK WRZ DDRM 2nd T20I, Afghanistan CTU UF CG 948 L 333 27 29 West Indies Women v India 80 35 30 23 580 396 78 984 93 65 70 VPR 17 525 56 68 75 405 40 912 497 54 LNRG 702 ZWCJ U 473 85 621 77 55 794 DQBH 908 658 60 O 250 67 64 10 Rajiv Gandhi 91 995 97 285 40 7 Rajiv 52 15 95 27 544 15 RZF 21 November 13 966 Wed, 04 Dec 2019 14:03:59 GMT 13 1 392 XT Zealand v 62 940 649 565 16 83 93 CD DTM 54 781 20

4th T20I, New Zealand v England 2019, McLean Park, Napier.

New Zealand v T20I, Afghanistan IIJQ 2nd T20I, Afghanistan v PV Women v India Women October 17 India Women 2019, Daren Sammy Women 2019, Daren Sammy National 43 625 623 349 85 M (2 TEST, Richards Stadium, North Sound 49 91 35 NQC 34 94 Islet Women 2019, 98 2019-11-10T06:03:59.7847229+02:00 319 139 ECTP 10 Nov 2019 09:03 AM PDT TEST, 5 48 55 04 Nov 2019 01:03 PM PDT 2017-2020, Sir Vivian Richards RCAT 77 68 234 19 93 3 613 62

[romcisili-blog]

Sport Event Without Paying 4K Marathon: Xichang Qionghai Lake Wetland International Marathon (2019)

    ⟱⟱⟱⟱⟱⟱⟱⟱⟱⟱⟱⟱

CBS Eleven Sports Now TV Bleacher Report Marathon: Xichang Qionghai Lake Wetland International Marathon (2019)

⟰⟰⟰⟰⟰⟰⟰⟰⟰⟰⟰⟰

    10/23/2019 Championships: Friday, 08 November 2019 16:39:29 Qionghai Lake Wetland International 10/30/2019 11:39 491 791 645 FXT 772 GFI 10/24/2019 05:39 197 41 260 JIO 60 Monday, 11 November 2019 06:39:29 91 738 FR 308 217 66 68 62 15 14 349 58 66 879 492 491 11/29/2019 06:39 AM Sun, 03 Nov 2019 14:39:29 GMT 202 751 63 564 Thursday, 17 October 2019 110 83 692 I 77 9 194 40 278 267 Championships Day 2 11 843 Monday, 25 November 2019 Mon, 04 Nov 2019 07:39:29 GMT 98 649 09 Nov 2019 04:39 AM PDT World Para-Athletics Championships Day 2 430 G VAHP 287 829 780 788 621 58 9 51 ZYJ SMIM 75 2 87 ISH 842 69 710 84 188 37 473 23

Championships Day 2 World 2019-12-04T17:39:29 Lake Championships: World KKZ J 2 73 52 K

World Para-Athletics Championships: World Para-Athletics Championships Day 4. World Para-Athletics Championships: World Para-Athletics Championships Day 2.

ORA Championships Day 1 World Para-Athletics World M 16 Oct 2019 01:39 AM PDT 53 8 66 Sunday, 03 November 2019 World Para-Athletics Championships Para-Athletics Championships: World Para-Athletics Championships 65 I UHI W 164

QX Para-Athletics Championships: World Para-Athletics Championships N 10/20/2019 05:39 AM D 2019-11-13T12:39:29.2147352+00:00 05 Dec 2019 08:39 PM PDT 45 8 108 279 DEGQ 61 VS 27 232 76 564 334 68 10/09/2019 04:39 PM 544 63 46 126 FLE 48 4 961 77 99 21 18 E 512 13 Sunday, 01 December 2019 10/20/2019 09:39 AM 59 0 International 84

World Para-Athletics Championships: World Para-Athletics Championships Day 1.

[cartoonjazzlover]

March 2019 Kids Network Rating from Highest to Lowest

Nickelodeon 3/23 21st Henry Danger: 1313 (0.23) 3/5 N/A The Loud House: 1300 (0.30) 3/23 20th Henry Danger: 1292 (0.26) 3/7 13th The Loud House: 1221 (0.28) 3/4 16th The Loud House: 1199 (0.31) 3/6 28th The Loud House: 1150 (0.22) 3/9 25th Henry Danger: 1078 (0.21) 3/16 12nd Henry Danger: 1062 (0.28) 3/2 17th Henry Danger: 1042 (0.23) 3/2 12nd ALVIN!!!: 994 (0.25) 3/3 38th Alvin and the Chimpunks 3: 989 (0.21) 3/8 17th Lucky: 987 (0.22) 3/16 30th ALVINNN!!!: 907 (0.20) 3/4 29nd PAW Patrol: 896 (0.24) 3/15 22nd Paw Patrol: 892 (0.20) 3/9 28th ALVINNN!!!: 860 (0.20) 3/2 30th Rise of the TMNT: 858 (0.20) 3/9 40th Cousins for Life: 849 (0.18) 3/11 36th Double Dare: 839 (0.20) 3/2 34th RBUK: 815 (0.19) 3/22 46th Blaze: 814 (0.18) 3/16 23rd Rise of the TMNT: 808 (0.22) 3/12 50th Double Dare: 803 (0.17) 3/16 32nd Cousins for Life: 776 (0.20) 3/16 45th RBUK: 776 (0.15) 3/2 38th Cousins for Life: 770 (0.18) 3/13 46th Double Dare: 743 (0.17) 3/16 28th Power Rangers: 740 (0.21) 3/2 22nd Power Rangers: 734 (0.21) 3/8 27nd Blaze: 730 (0.18) 3/1 38th Crashletes: 722 (0.17) 3/1 35th Dude Perfect: 714 (0.17) 3/13 66th Corn and Peg: 696 (0.14) 3/9 51st RBUK: 694 (0.16) 3/9 55th Rise of the TMNT: 681 (0.15) 3/20 49th Abby Hatcher: 668 (0.15) 3/4 48th Corn and Peg: 659 (0.18) 3/15 47th Top Wing: 654 (0.14) 3/14 63rd Corn and Peg: 655 (0.15) 3/12 70th Corn and Peg: 630 (0.13) 3/9 44th Power Rangers: 610 (0.17) 3/18 57nd Abby Hatcher: 594 (0.15) 3/25 72nd Butterbeans Cafe: 587 (0.12) 3/2 46th Knight Squad: 578 (0.16) 3/1 36th Top Wing: 577 (0.17) 3/27 52nd Butterbeans Cafe: 573 (0.15) 3/26 72nd Butterbeans Cafe: 566 (0.13) 3/5 74th Corn and Peg: 566 (0.13) 3/14 71st Double Dare: 563 (0.13) 3/16 53rd Knight Squad: 556 (0.14) 3/21 64th Abby Hatcher: 537 (0.14) 3/9 65th Knight Squad: 535 (0.13) 3/19 89th Abby Hatcher: 534 (0.12) 3/7 61st Corn and Peg: 532 (0.14) 3/11 87th Corn and Peg: 513 (0.11) 3/23 Thomas & Friends: 496 (0.11) 3/6 79th Corn and Peg: 484 (0.12) 3/28 72nd Butterbeans Cafe: 451 (0.11) 3/24 141st Sunny Day: 267 (0.06) 3/26 141st Franklin: 166 (0.05)

Cartoon Network 3/2 24th Ben 10: 684 (0.21) 3/2 40th Total DramaRama: 682 (0.17) 3/16 37th Total DramaRama: 663 (0.17) 3/11 89th Teen Titans GO: 570 (0.11) 3/23 42nd Total DramaRama: 564 (0.15) 3/9 60th Ben 10:564 (0.13) 3/16 62nd Ben 10: 569 (0.13) 3/9 48th Total DramaRama: 553 (0.17) 3/4 64th We Bare Bears: 550 (0.14) 3/8 61st DC Superhero Girl: 544 (0.11) 3/11 96th We Bare Bears: 535 (0.10) 3/18 73rd Teen Titans GO: 526 (0.12) 3/25 86th We Bare Bears: 524 (0.10) 3/4 66th Teen Titans Go: 504 (0.13) 3/1 91st Unikitty: 484 (0.10) 3/18 88th Craig of the Creek: 477 (0.10) 3/23 62nd Ben 10: 461 (0.12) 3/18 90th We Bare Bears: 428 (0.10) 3/4 97th Craig of the Creek: 415 (0.10) 3/11 122nd Craig of the Creek: 414 (0.07) 3/24 89th DC Super Hero Girls: 410 (0.11) 3/17 71st DC Super Hero Girls: 402 (0.11) 3/25 94th Teen Titans GO: 397 (0.09) 3/17 86th PPG: 396 (0.09) 3/25 98th Craig of the Creek: 355 (0.09) 3/24 118th PPG: 347 (0.08) 3/2 61st Bakugan: 329 (0.13) 3/16 50th Bakugan: 310 (0.15) 3/15 66th Mega Man: 310 (0.11) 3/3 65th Mega Man: 298 (0.13) 3/23 50th Bakugan: 291 (0.14) 3/11 107th MegaMan: 287 (0.09) 3/9 107th Bakugan: 273 (0.08) 3/10 MegaMan: 238 (0.12) 3/24 106th Mega Man: 238 (0.09) 3/14 107th Mega Man: 234 (0.09) 3/13 138th Mega Man: 224 (0.07) 3/12 110th Mega Man: 209 (0.09)

Disney Channel/XD/Junior 3/9 Muppet Babies: 933 (0.23) 3/9 Vampirina: 821 (0.21) 3/1 40th Andi Mack: 790 (0.16) 3/23 27nd Elena of Avalor: 712 (0.20) 3/9 41st Fancy Nancy: 701 (0.17) 3/1 47th Sydney to the Max: 677 (0.15) 3/23 40th Coop & Cami: 649 (0.15) 3/9 68th Coop & Cami: 643 (0.13) 3/9 56th DuckTales: 613 (0.15) 3/9 81st Big City Greens: 613 (0.11) 3/24 75th Fast Layne: 606 (0.13) 3/9 73rd Bizaardvark: 603 (0.12) 3/15 41st Sydney to the Max: 580 (0.15) 3/23 52nd Bizaardvark: 566 (0.13) 3/1 49th Doc McStuffins: 562 (0.14) 3.15 52nd Vampirina: 558 (0.13) 3/15 42nd MuppetBabies: 549 (0.15) 3/2 72nd Coop & Cami: 549 (0.12) 3/10 65th Fast Layne: 525 (0.12) 3/8 48th Sydney to the Max: 521 (0.13) 3/2 70st Bizaardvark: 521 (0.12) 3/22 84th Sydney to the Max: 517 (0.11) 3/2 88th Big City Greens: 516 (0.10) 3/15 35th Giganosaurus: 503  (0.17) 3/16 58th Coop & Cami: 491 (0.13) 3/1 92nd Gigantosaurus: 491 (0.10) 3/16 61st Bizaardvark: 474 (0.13) 3/8 46th Gigantosaurus: 447 (0.13) 3/3 104th Fast Layne: 444 (0.08) 3/17 82nd Fast Layne: 432 (0.10) 3/22 100th Gigantosaurus: 417 (0.09) 3/22 108th Puppy Dog Pals: 413 (0.08) 3/8 64th PJ Masks: 407 (0.11) 3/8 65th Vampirina: 400 (0.11) 3/17 96th Star Vs: 392 (0.08) 3/9 91st Milo Murphy: 378 (0.09) 3/10 69th Tangled: 377 (0.11) 3/3 145th Tangled: 372 (0.06) 3/22 109th PJ Masks: 371 (0.08) 3/10 103rd Star Vs: 370 (0.08) 3/10 116th Star Wars Resistance: 369 (0.08) 3/17 117th  Tangled: 369 (0.07) 3/22 116th Vampirina: 365 (0.08) 3/17 93rd Star Wars Resistance: 361 (0.08) 3/10 82nd Tangled: 360 (0.10) 3/24 130th Star Vs: 356 (0.07) 3/24 131st Star Vs: 354 (0.07) 3/3 130th Star Wars Resistance: 349 (0.06) 3/8 69th Fancy Nancy: 344 (0.11) 3/10 80th Star vs: 341 (0.10) 3/17 104th Star Vs: 339 (0.08) 3/2 126th Milo Murphy’s Law: 333 (0.07) 3/16 98th Milo Murphy’s Law: 326 (0.09) 3/23 110th Milo Murphy’s Law: 325 (0.07) 3/10 83rd Go Away Unicorn: 318 (0.10) 3.17 127th Go Away Unicorn: 307 (0.06) 3/24 N/A Tangled: 304 (0.06) 3/24 N/A Go Away Unicorn: 301 (0.05) 3/10 106th Go Away Unicorn: 297 (0.08) 3/17 134th Go Away Unicorn: 289 (0.06) 3/3 N/A Go Away Unicorn: 277 (0.05) 3/24 N/A Tangled: 275 (0.05) 3/24 N/A Go Away Unicorn: 245 (0.03) 3/3 N/A Go Away Unicorn: 233 (0.03) 3/23 141st Pokemon: 177 (0.05) 3/24 N/A Pokemon: 169 (0.04) 3/2 N/A Beyblade Burst: 116 (0.02) 3/16 N/A Beyblade Burst: 102 (0.02) 3/26 N/A Pokemon: 86 (0.02) 3/9 N/A Beyblade Burst: 84 (0.02)

#nickelodeon #Cartoon network #disney channel #TV ratings

[mydarlingbat]

Oh my god, I'm going have to think about this, but I mean I can't even count every single time batman saves the Joker. He saves him in death of the family. Batman adventures continue #12 Batman the max. Arkham dreams #2 Batman confidential #11 batman ninja turtles 3 # 5 hitman #3 Batman The shadow #4 league of justice. Tales from the dark multiverse / the death of Superman #1 Batman #353 Batman #7 Batman #1 Batman adventures #16 the Batman strikes #9 Batman fun house of evil. Batman death by design. The batman who laughs #1 the Batman who laughs # 2 Batman secrets. Batman cacophony #3 legends of the dark Knight # 200 Batman legends of the dark Knight # 145 Batman Gotham Knights #73 Batman dredd / die laughing. The Joker mask. Batman Gotham adventures #31 detective comics annual #5 Batman vs the punisher. two face year one #2 Batman #544 Batman Arkham unhinged #29 #30 Batman unhinged # 28 Batman 1992 annual. Batman Arkham knight. Batman #649 Batman #719 batman Europe #2 legends of the dark Knight #195 catwoman #63 legends of the dark Knight #16 batman adventures #1 Batman adventures #3 Batman adventures #30 Batman 2016 48# batman the white knight #7 the spectre #51 batman annual #1 Joker switch. Wonder woman #165 #167 elseworlds finest. Batman Gotham after midnight #8 dc super friends. Batman / Harley and ivy #1 Batman #146 batman #37 the Joker last laugh #6 Batman legends of the dark Knight # 10 Batman last knight on earth. Batman legends of the dark Knight #50 batman Odyessy # 6 #2 injustice ground zero #6 Batman ego. Batman deadly duo #1 Joker's Devil advocate #1 legends of the dark Knight 2020 #2 The Batman animated series ( Christmas with JOKER ) ( the Phantasm ) The Jokers favor ) Harlequinade ) Joker's Millions ) make 'em laugh and that's all I recall. Batman Arkham origins. Batman under the red hood. The dark Knight. The Batman vs. Dracula. Batman Ninja. Scooby-Doo & Batman: The Brave and the Bold (2018) Batman telltale series # episode 5 Batman tomorrow the game. Gotham the series. the Batman series 2005 The Bat in the Belfry ) The Clayface of Tragedy (Part 2) The Metal Face of Comedy) Batman #66

I can't say them all, but he saved the Joker 70 times in comics. How many times he attempted to save the Joker 14 times in comics. 84 times I guess. Not including the movies and series, but all together 103 times.

#batman x joker #batman and joker #batjokes #comic books #comics #batman #the joker #dc universe #batmm #dc cartoons #dcedit #dcau #dc #list

[freetriumphwasteland-blog]

Zambian Emerald V/s Columbian Emerald

Are you looking for a way to bring more luck into your life? One popular belief is that certain gemstones can help bring good fortune and abundance. In this blog post, we will explore some gemstones that are believed to bring luck to their wearers. Emerald Emerald is a beautiful green gemstone that is believed to bring luck, prosperity, and abundance to its wearer. It is also associated with love and compassion. This gemstone is said to promote harmony and balance, both within oneself and in relationships with others. Emeralds are often used in jewelry and can make a beautiful addition to any outfit.   Ruby Ruby is a vibrant red gemstone that is believed to bring good luck and protection to its wearer. It is also associated with passion and vitality. This gemstone is said to promote courage, strength, and self-confidence. Rubies are often used in engagement rings and other fine jewelry, and are prized for their deep red color. Citrine Citrine is a yellow gemstone that is believed to bring luck, wealth, and success to its wearer. It is also associated with creativity and self-confidence. This gemstone is said to promote positive energy, and is often used in crystal healing to help with depression and anxiety. Citrine is a popular gemstone for jewelry, and can add a bright pop of color to any outfit. Blue Sapphire Blue sapphire is a deep blue gemstone that is believed to bring luck, wisdom, and mental clarity to its wearer. It is also associated with spiritual growth and enlightenment. This gemstone is said to promote inner peace and tranquility, and can help with communication and self-expression. Blue sapphires are often used in engagement rings and other fine jewelry, and are prized for their rich blue color. Amethyst Amethyst is a purple gemstone that is believed to bring luck, peace, and tranquility to its wearer. It is also associated with intuition and spiritual awareness. This gemstone is said to promote inner strength and mental clarity, and can help with addiction and anxiety. Amethyst is a popular gemstone for jewelry, and can add a touch of elegance to any outfit. It is important to note that while these gemstones are believed to bring luck, their effectiveness may vary from person to person. It is also important to choose a high-quality gemstone and care for it properly to ensure its effectiveness. Whether you choose to wear one of these gemstones or not, remember that luck is often the result of hard work and a positive attitude. So stay focused, stay positive, and good luck will surely follow! Instagram Gallery 8817 303 4117 567 2069 938 8071 200 7408 720 6859 866 2481 728 2626 407 6359 440 3291 160 4177 678 1158 338 9499 46 8501 268 7362 74 6169 449 7600 511 5089 544 Recent Posts - What to know before wearing a Garnet stone? - What is Blue Sapphire? Why Blue sapphire is the most Powerful Gemstone? - Can I wear Emerald stone (Panna) without consultation? - Unheated Ruby vs. Heated Ruby Gemstone For you - 4.34 Carat Natural Ceylon Blue Sapphire with Lab Certified ₹105,000.00 ₹53,000.00 - 11.03 Carat Oval Shape Natural Fire Opal Rated 5.00 out of 5 ₹14,000.00 ₹11,030.00 - Natural 5.70 carat 6.25 Ratti Precious Pukhraj GII India Lab Certified ₹35,000.00 ₹17,100.00 Contact Us FIND YOUR BEST STONE FROM BELOW COLLECTION Blue Sapphire Yellow Sapphire Emerald Ruby Opal Amethyst Catseye Blue Topaz Yellow Topaz Feroza Garnet Malachite Pearl Red Coral Akik White Coral Peridot Citrine Aquamarine Round CVD Cushion CVD Oval CVD Princess CVD Heart CVD Emerald CVD Radiant CVD Asscher CVD Baguette CVD Pear CVD Marquise CVD Round HPHT Cushion HPHT Oval HPHT Princess HPHT Heart HPHT Emerald HPHT Radiant HPHT Asscher HPHT Baguette HPHT Pear HPHT Marquise HPHT 1 Mukhi 2 Mukhi 3 Mukhi 4 Mukhi 5 Mukhi 6 Mukhi 7 Mukhi 8 Mukhi 9 Mukhi 10 Mukhi 11 Mukhi 12 Mukhi 13 Mukhi 14 Mukhi 15 Mukhi 16 Mukhi 17 Mukhi 18 Mukhi 19 Mukhi 20 Mukhi 21 Mukhi Gauri Shankar Garbh Gauri Shankar Savaar Sidhha Mala Jaap Mala Indra Mala Ganesha Ganesha Read the full article

[duggardata]

Babygeddon Wrap–Up:  Part 1

How Did Addison, Bella, and Maryella Impact The Overall Duggar Data?

Recently, the Duggar Clan grew by three...

Joe + Kendra had Addison Renee on November 2, 2019.

Josiah + Lauren had Bella Milagro on November 8, 2019.

Josh + Anna had Maryella Hope on November 27, 2019.

How did these new arrivals shift the Overall Duggar Data for things like Timing of Pregnancy Announcement, Sex Reveal, Delivery, and Birth Announcement; Birthweight and Length; and Child Spacing?  Read on!

Timing of...

Pregnancy Announcement

Prior to Babygeddon, the ‘typical’ Duggar Couple waited 97 Days to announce that they were expecting.  This varied by a Standard Deviation (SD) of 37 Days, so it was probable (68%) that a Duggar Couple would announce between 60—134 Days Along (8 Weeks, 4 Days—19 Weeks, 1 Day).

Then, Joe + Kendra kicked off Babygeddon by going public with Pregnancy #2 on April 11, 2019.  Three more announcements quickly followed—Josh + Anna, Joy + Austin, and Josiah + Lauren—with all of them due November 2019.  Here is how far along each woman was, when she announced—

Kendra (w/ Addison)   71 Days  (10W+1)

Anna (w/ Maryella)   64 Days  (9W+1)

Joy (w/ Annabell)   88 Days  (12W+4)  

Lauren (w/ Bella)   99 Days  (14W+1)

... and, here’s how the Duggar–typical Pregnancy Announcement timing shifted, after each subsequent Babygeddon Pregnancy Announcement—

Pre–Babygeddon   97 Days  /  SD 37 Days

+ Addison Renee   95 Days  (–2 Days)

+ Maryella Hope   93 [93.1] Days  (–2 Days)

+ Annabell Elise   93 [92.8] Days  (No Change)

+ Bella Milagro   93 [93.2] Days  (No Change)

Overall, the Babygeddon Pregnancy Announcements shifted the Duggar Mean Pregnancy Announcement to Day 93 (13 Weeks, 2 Days)—4 Days Earlier than it was, pre–Babygeddon.  The SD also shifted to 34 Days (–3 Days), indicating less variance in the data.  Post–Babygeddon, it’s probable (68%) that a Duggar Couple will announce from Day 59—127 (8 Weeks, 3 Days—18 Weeks, 1 Day).

And, let’s not forget Abbie!  While we awaited Babygeddon, John + Abbie went public with their 1st Pregnancy on August 1, 2019.  Seemingly due January 13, 2020, Abbie was 115 Days (or 16 Weeks, 3 Days) Along, at the time.  Factoring her in, it’s now Duggar–typical to announce on Day 94 (SD, 33 Days / Probable Range, 61—127 Days.)   

Sex and Name Reveal

None of the Babbygeddon Couples announced their baby’s name, before birth.  So, let’s focus on sex reveals!  Pre–Babygeddon, the typical Duggar Couple—if they chose to do a Sex Reveal—would do it at 159 Days Along (or 22 Weeks, 5 Days).  This varied by a SD of 31 Days, so it was probable (68%) that a Duggar Sex Reveal would happen between Day 128—190 of Pregnancy (or 18 Weeks, 2 Days—27 Weeks, 1 Day). 

Every Babygeddon Baby had a Sex Reveal.  Here is how far along the mothers were, as the time of their baby’s Sex Reveal—

Anna (w/ Maryella)   119 Days  (17W+0)    

Kendra (w/ Addison)   146 Days  (20W+6)

Lauren (w/ Bella)   135 Days  (19W+2)  

(Note—On July 3, 2019, Joy + Austin revealed that their baby, Annabelle Elise, was a girl, and had died in utero.  Duggar Data doesn’t count this in any of the Sex Reveal data, since the announcement timing was obviously influenced by the stillbirth.  There’s no way to know when or if Joy + Austin would have done a Sex Reveal for Annabelle, had Joy remained pregnant.)

... and, here’s how far along the ‘typical’ Duggar was at the time of Sex Reveal, when we factor in the Babygeddon Sex Reveals, one by one—

Pre–Babygeddon   159 Days  /  SD 31 Days

+ Maryella Hope   155 Days  (–4 Days)  

+ Addison Renee   154 Days  (–1 Day)   

+ Bella Milagro   152 Days  (–2 Days)

Ultimately, Babygeddon made the Duggar–typical Sex Reveal 1 Week Earlier—shifting it from Day 159 to Day 152 (21 Weeks, 5 Days).  It also reduced the SD to 29 Days (–2 Days), indicating less variance / volatility in the data.  Afterward, it was probable (68%) that Duggar Couples would reveal an unborn infant’s sex between Day 123—181 (17 Weeks, 4 Days—25 Weeks, 6 Days) of pregnancy.

And, again, Abbie needs to be added.  She and John did a Sex Reveal for their baby on August 19, 2019, while we awaited Babygeddon, and while Abbie was 133 Days (Exactly 19 Weeks) Along.  This shifted the Sex Reveal Mean and SD further still, to Day 150 and 28 Days, respectively.  It’s now probable (68%) that a Duggar Couple will reveal their baby’s sex between Day 122—178 (17 Weeks, 3 Days—25 Weeks, 3 Days). 

Delivery (vs. Due Date)

Pre–Babygeddon, the typical Third–Generation Duggar arrived 1 Day Early (vs. their Due Date).  This varied, however, by a SD of 1 Week.  So, it was probable (68%) for a GrandDuggar to arrive between 8 Days Early—6 Days Late.

Here’s how each Babygeddon Baby’s DOB compared to their Due Date—

Addison Renee   4 Days Early

Bella Milagro   9 Days Early

Maryella Hope   1 Day Early   

... and, how each birth impacted the Duggar Mean Delivery (vs. Due Date)—

Pre–Babygeddon    1 [0.9] Day Early  /  SD 7 Days

+ Addison Renee   1 [1.15] Day Early  (No Change)

+ Bella Milagro   2 [1.71] Days Early  (–1 Day)   

+ Maryella Hope   2 [1.67] Days Early  (No Change)

Post–Babygeddon, it’s now Duggar–typical to deliver 2 Days Early—or, 1 Day Earlier than it was, before.  For the SD, there was No [Meaningful] Change...  It shifted very slightly from 7.1 Days to 6.6 Days—but either way, it rounds to 7 Days.  It’s now probable (68%) for a Duggar Female to deliver between 9 Days Early—5 Days Late.    

Birth Announcement

Until November 2019, the ‘typical’ Duggar Couple waited, on average, 1 Day to announce a child’s birth.  It varied by a SD of 2 Days, yielding a probable (68%) Birth Announcement Delay of ≤3 Days.

During Babygeddon, here’s how long the parents waited to go public with each child’s birth—

Addison Renee   2 Days

Bella Milagro   3 Days   

Maryella Hope   Same Day

... and, how the Duggar Average Birth Announement Timing shifted, if at all—

Pre–Babygeddon   1 [1.31] Day  /  SD 2 [1.55] Days

+ Addison Renee   1 [1.36] Day  (No Change)

+ Bella Milagro   1 [1.47] Day  (No Change)

+ Maryella Hope   1 [1.38] Day  (No Change)

Overall, Babygeddon caused No Meaningful Change to the Average or SD...  The Average remains 1 Day, shifting marginally from 1.31 to 1.38 Days, and the SD remains 2 Days, shifting marginally from 1.55 to 1.5 Days.  It’s still probable (68%) for a Duggar Birth Announcement to occur after ≤3 Days.

Birthweight & Length

Common lore says that Duggar Babies are big—and, so far, it has been true...  Prior to Babygeddon, the typical GrandDuggar weighed 8 Pounds, 12 Oz. and measured 21 Inches, at birth.  Birthweight varied by a SD of 13 Oz., and length varied by a SD of 1 Inch.  So...  Odds were ~68% that, at birth, a GrandDuggar would weigh between 7 Pounds, 14 Oz.—9 Pounds, 10 Oz., and measure 20—22 Inches.  

Here’s how the Babygeddon Babies weighed in and measured up—

Addison Renee   7 Pounds, 12.5 Oz.; 20.5 Inches

Bella Milagro   6 Pounds, 5 Oz.; 18.5 Inches       

Maryella Hope   8 Pounds, 2 Oz.; 20.5 Inches

(Note—Bella set new records for Lightest and Smallest GrandDuggar.  Lightest was previously held by Garrett [7 Pounds, 8 Oz.], while the Smallest was jointly held by Mackynzie Renee and Felicity Nicole [19.5 Inches Each].)     

Here’s how they impacted the Average Duggar Birthweight—

Pre–Babygeddon   8 Pounds, 12 Oz.  /  SD 13 Oz.   

+ Addison Renee   8 Pounds, 11 Oz.  (–1 Ounce)

+ Bella Milagro   8 Pounds, 8 Oz.  (–3 Ounces)

+ Maryella Hope   8 Pounds, 8 Oz.  (No Change)

Ultimately, Babygeddon caused the Average GrandDuggar to weigh 4 Ounces Less; that new average is 8 Pounds, 8 Oz.  Meanwhile, the SD shifted from 13 to 16 Ounces (1 Pound), for a total change of +3 Ounces.  As a result, it’s now probable (68%) that a GrandDuggar will weigh between 7.5—9.5 Pounds. 

Here’s how they impacted the Average Duggar ‘Birth Length’—       

Pre–Babygeddon   21 [21.1] Inches  /  SD 1 [1.03] Inch 

+ Addison Renee   21 [21.1] Inches  (No Change)

+ Bella Milagro   21 [20.9] Inches  (No Change)

+ Maryella Hope   21 [20.9] Inches  (No Change)

As for ‘Birth Length,’ Babygeddon caused No Meaningful Change to Mean or SD.  Your typical GrandDuggar still measures 21 Inches, and that still varies by a SD 1 Inch, yielding a Probable (68%) Birth Length Range of 20—22 Inches.  

Child Spacing    

Child Spacing, Generally

Prior to Babygeddon, the Duggar Average Child Spacing was 540 Days (17.7 Months); however, it varied by a SD of 222 Days, so it was probable (68%) that subsequent siblings would arrive between 318—762 Days (or 11—25 Months) Days Apart.

Here’s the Babygeddon Babies’ Child Spacings—

Annabell Theoretical   625 Days  (~21 Months)  (See Note)

Garrett to Addison   512 Days  (~17 Months)

Marriage to Bella   496 Days  (~16 Months)

Mason to Maryella   806 Days  (~26 Months)

(Note—Annabell was stillborn; however, her spacing data is still very relevant to predicting potential sibling gaps.  As such, Duggar Data includes it in Joy–Anna + Austin’s data, as well as the Overall Duggar Data.  Annabell’s spacing is set at 625 Days, the difference between Joy’s Predicted Delivery Date—which is itself based on Annabell’s Due Date and Joy’s Typical Delivery Timing—and Gideon’s DOB.)

... and, how each of them shifted the Duggar–typical Child Spacing—

Pre–Babygeddon   540 Days  /  SD 222 Days   

+ Annabell Theoretical   546 Days  (+6 Days)     

+ Garrett to Addison   544 Days  (–2 Days)   

+ Marriage to Bella   541 Days  (–3 Days)

+ Mason to Maryella   556 Days  (+15 Days)

Overall, Babygeddon shifted the Duggar–typical Child Spacing to 556 Days (or, ~18.3 Months) (+16 Days).  Volatility also decreased with the SD dropping from 222 Days to 205 Days (–17 Days).  When it comes to estimating child spacing, it’s now probable (68%) for any given Duggar Couple to have children between 351—761 Days Apart (11.5—25 Months).

Marriage to Firstborn

Only one Babygeddon Baby, Bella, impacted the Duggar Marriage to Firstborn Spacing data.  Prior to Bella’s arrival, the typical Duggar Couple have their first child 367 Days after tying the knot.  This varied by a SD of 133 Days, however; so, any given Duggar Couple would probably (68%) welcome Child #1 after no more than 500 Days (16.4 Months).

Bella was born on November 8, 2019, which is 496 Days (16.3 Month) after her parents wed on June 30, 2018.  Her effect on the Duggar Marriage to Firstborn Spacing data is as follows—

Pre–Babygeddon   367 Days  /  SD 133 Days

+ Bella Milagro   385 Days  (+18 Days)  /  SD 131 Days  (–2 Days)

After Bella, a ‘typical’ Duggar Couple welcomes Child #1 385 Days after tying the knot.  That’s excessively fast—but, it’s actually 12 Days Later than it was, pre–Babygeddon.  Also, the SD decreased very slightly to 31 Days (–2 Days).  It’s now probable (68%) that a Duggar Couple will become parents for the first time after ≤516 Days (17.0 Months) of Marriage.      

ESOQ & Total GrandDuggars

Here’s each Babygeddon Couple’s post–Babygeddon ESOQ—

Josh + Anna   12 Children

Joe + Kendra   19 Children

Josiah + Lauren   11 Children

Post–Babygeddon, the Predictor expects a grand total of 236 GrandDuggars for Jim Bob + Michelle.  Babygeddon didn’t change this much!

#babygeddon #addison duggar #bella duggar #maryella duggar

[karlyangusps]

Party affiliation vs Obama ratings by age groups

In this study, I would like to use run an ANOVA correlation coefficient to find out if party affiliation is associated with Obama ratings, and then use two age groups as moderator – between 18 and 54 years old, and 55 years or older.

Results:

Without the moderator, the Prob score is 3.90e-116 and F-statistics is 219.2, indicating a strong correlation.

With age as moderator, we see similar association in distributions among the two age groups, although older people who have no party affiliations rated Obama higher.

Code

# -*- coding: utf-8 -*-

"""

Created on Mon Sep 21 10:18:43 2015

@author: jml

"""

# ANOVA

import numpy

import pandas

import statsmodels.formula.api as smf

import statsmodels.stats.multicomp as multi

import seaborn

import matplotlib.pyplot as plt

data = pandas.read_csv('ool_pds.csv', low_memory=False)

# party affiliation

# 1:Republican, 2:Democrat, 3:Independent, 4:Other, -1:Refused

data['W1_C1'] = pandas.to_numeric(data['W1_C1'], errors='coerce')

# [Barack Obama] How would you rate

data['W1_D1'] = pandas.to_numeric(data['W1_D1'], errors='coerce')

# PPAGECAT: Age - 7 Categories

data['PPAGECAT'] = pandas.to_numeric(data['PPAGECAT'], errors='coerce')

sub1 = data[(data['W1_C1']>=1) & (data['W1_C1']<=4) & (data['W1_D1']>=1) & (data['W1_D1']<=99) & (data['PPAGECAT']>=1) & (data['PPAGECAT']<=7)]

model1 = smf.ols(formula='W1_D1 ~ C(W1_C1)', data=sub1).fit()

print (model1.summary())

print ("means for Party affiliations")

m1= sub1.groupby('W1_C1').mean()

print (m1)

print ("standard deviation for mean Party affiliations")

st1= sub1.groupby('W1_C1').std()

print (st1)

# bivariate bar graph

seaborn.factorplot(x="W1_C1", y="W1_D1", data=sub1, kind="bar", ci=None)

plt.xlabel('Party affiliation')

plt.ylabel('How would you rate obama')

sub2=sub1[(sub1['PPAGECAT']>=1) & (sub1['PPAGECAT']<=4)] #54 or younger

sub3=sub1[(sub1['PPAGECAT']>=5) & (sub1['PPAGECAT']<=7)] #55 or older

print ('association between party affiliation and Obama ratings for those who are between 18 and 54 years old')

model2 = smf.ols(formula='W1_D1 ~ C(W1_C1)', data=sub2).fit()

print (model2.summary())

print ('association between party affiliation and Obama ratings for those who are above 54 years old')

model3 = smf.ols(formula='W1_D1 ~ C(W1_C1)', data=sub3).fit()

print (model3.summary())

print ("means for party affiliation vs Obama ratings for those who are between 18 and 54 years old")

m3= sub2.groupby('W1_C1').mean()

print (m3)

print ("Means for party affiliation vs Obama ratings for those who are above 54 years old")

m4 = sub3.groupby('W1_C1').mean()

print (m4)

seaborn.factorplot(x="W1_C1", y="W1_D1", data=sub2, kind="bar", ci=None)

plt.xlabel('Party affiliation between 18 and 54 years old')

plt.ylabel('How would you rate obama')

seaborn.factorplot(x="W1_C1", y="W1_D1", data=sub3, kind="bar", ci=None)

plt.xlabel('Party affiliation above 55 years old')

plt.ylabel('How would you rate obama')

Results

                           OLS Regression Results                          

==============================================================================

Dep. Variable:                  W1_D1   R-squared:                       0.325

Model:                            OLS   Adj. R-squared:                  0.323

Method:                 Least Squares   F-statistic:                     219.2

Date:                Mon, 16 Nov 2020   Prob (F-statistic):          3.90e-116

Time:                        09:46:27   Log-Likelihood:                -6074.1

No. Observations:                1373   AIC:                         1.216e+04

Df Residuals:                    1369   BIC:                         1.218e+04

Df Model:                           3                                        

Covariance Type:            nonrobust                                        

=================================================================================

                   coef    std err          t      P>|t|      [0.025      0.975]

---------------------------------------------------------------------------------

Intercept        34.8985      1.440     24.229      0.000      32.073      37.724

C(W1_C1)[T.2]    40.6217      1.632     24.890      0.000      37.420      43.823

C(W1_C1)[T.3]    24.2801      1.746     13.908      0.000      20.855      27.705

C(W1_C1)[T.4]    27.6822      2.944      9.403      0.000      21.907      33.457

==============================================================================

Omnibus:                       99.662   Durbin-Watson:                   2.005

Prob(Omnibus):                  0.000   Jarque-Bera (JB):              122.244

Skew:                          -0.672   Prob(JB):                     2.85e-27

Kurtosis:                       3.573   Cond. No.                         7.28

==============================================================================

Warnings:

[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.

means for Party affiliations

           CASEID    W1_CASEID  W1_WEIGHT1  ...    PPT612    PPWORK     PPNET

W1_C1                                        ...                            

1      1074.822335  1119.304569    1.966889  ...  0.218274  2.862944  0.822335

2      1179.302594  1228.017291    0.872340  ...  0.182997  2.995677  0.783862

3      1137.830952  1185.430952    1.278669  ...  0.209524  2.840476  0.811905

4      1129.532258  1176.419355    1.086908  ...  0.241935  2.806452  0.790323

[4 rows x 240 columns]

standard deviation for mean Party affiliations

          CASEID   W1_CASEID  W1_WEIGHT1  ...    PPT612    PPWORK     PPNET

W1_C1                                      ...                            

1      660.456702  691.693381    1.542526  ...  0.578590  2.203082  0.383204

2      636.686082  666.974779    1.245637  ...  0.483135  2.151877  0.411907

3      680.088596  712.417932    1.464464  ...  0.581254  2.098023  0.391254

4      687.015826  718.273466    1.435755  ...  0.533638  2.164079  0.410402

[4 rows x 240 columns]

association between party affiliation and Obama ratings for those who are between 18 and 54 years old

                           OLS Regression Results                          

==============================================================================

Dep. Variable:                  W1_D1   R-squared:                       0.298

Model:                            OLS   Adj. R-squared:                  0.296

Method:                 Least Squares   F-statistic:                     116.4

Date:                Mon, 16 Nov 2020   Prob (F-statistic):           8.08e-63

Time:                        09:46:27   Log-Likelihood:                -3663.3

No. Observations:                 825   AIC:                             7335.

Df Residuals:                     821   BIC:                             7353.

Df Model:                           3                                        

Covariance Type:            nonrobust                                        

=================================================================================

                   coef    std err          t      P>|t|      [0.025      0.975]

---------------------------------------------------------------------------------

Intercept        35.1736      1.870     18.809      0.000      31.503      38.844

C(W1_C1)[T.2]    38.9499      2.136     18.234      0.000      34.757      43.143

C(W1_C1)[T.3]    23.6124      2.249     10.498      0.000      19.198      28.027

C(W1_C1)[T.4]    25.4653      3.905      6.521      0.000      17.800      33.131

==============================================================================

Omnibus:                       44.959   Durbin-Watson:                   1.920

Prob(Omnibus):                  0.000   Jarque-Bera (JB):               50.940

Skew:                          -0.586   Prob(JB):                     8.68e-12

Kurtosis:                       3.327   Cond. No.                         7.24

==============================================================================

Warnings:

[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.

association between party affiliation and Obama ratings for those who are above 54 years old

                           OLS Regression Results                          

==============================================================================

Dep. Variable:                  W1_D1   R-squared:                       0.363

Model:                            OLS   Adj. R-squared:                  0.360

Method:                 Least Squares   F-statistic:                     103.4

Date:                Mon, 16 Nov 2020   Prob (F-statistic):           5.47e-53

Time:                        09:46:27   Log-Likelihood:                -2407.3

No. Observations:                 548   AIC:                             4823.

Df Residuals:                     544   BIC:                             4840.

Df Model:                           3                                        

Covariance Type:            nonrobust                                        

=================================================================================

                   coef    std err          t      P>|t|      [0.025      0.975]

---------------------------------------------------------------------------------

Intercept        34.4605      2.253     15.297      0.000      30.035      38.886

C(W1_C1)[T.2]    42.9267      2.525     17.003      0.000      37.968      47.886

C(W1_C1)[T.3]    25.4321      2.768      9.187      0.000      19.994      30.870

C(W1_C1)[T.4]    30.8087      4.462      6.905      0.000      22.044      39.574

==============================================================================

Omnibus:                       62.487   Durbin-Watson:                   1.938

Prob(Omnibus):                  0.000   Jarque-Bera (JB):               86.729

Skew:                          -0.821   Prob(JB):                     1.47e-19

Kurtosis:                       4.051   Cond. No.                         7.37

==============================================================================

Warnings:

[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.

means for party affiliation vs Obama ratings for those who are between 18 and 54 years old

C:\Apps\Anaconda3\lib\site-packages\seaborn\categorical.py:3666: UserWarning: The `factorplot` function has been renamed to `catplot`. The original name will be removed in a future release. Please update your code. Note that the default `kind` in `factorplot` (`'point'`) has changed `'strip'` in `catplot`.

 warnings.warn(msg)

           CASEID    W1_CASEID  W1_WEIGHT1  ...    PPT612    PPWORK     PPNET

W1_C1                                        ...                            

1      1092.471074  1137.933884    2.339593  ...  0.338843  2.247934  0.876033

2      1188.581864  1238.060453    0.930930  ...  0.274559  2.458438  0.808564

3      1168.154982  1217.387454    1.399492  ...  0.317343  2.424354  0.841328

4      1080.194444  1124.583333    1.318103  ...  0.388889  2.805556  0.833333

[4 rows x 240 columns]

Means for party affiliation vs Obama ratings for those who are above 54 years old

           CASEID    W1_CASEID  W1_WEIGHT1  ...    PPT612    PPWORK     PPNET

W1_C1                                        ...                            

1      1046.723684  1089.644737    1.373505  ...  0.026316  3.842105  0.736842

2      1166.898990  1214.592593    0.794022  ...  0.060606  3.713805  0.750842

3      1082.677852  1127.308725    1.058917  ...  0.013423  3.597315  0.758389

4      1197.846154  1248.192308    0.766792  ...  0.038462  2.807692  0.730769

[auburnfamilynews]

Douglas DeFelice-USA TODAY Sports

A late knee injury suffered against Florida led to a procedure that will sideline Auburn’s top tailback.

The news ain’t good.

Huge news: Auburn HC Gus Malzahn said RB Boobee Whitlow suffered an injury late against Florida and underwent surgery. He will miss 4-6 weeks.

— Justin Ferguson (@JFergusonAU) October 8, 2019

You can read the tweet above from Friend of the Program Justin Ferguson, but Boobee Whitlow will not be a major part of Auburn’s offense for at least the next month, maybe more. Somewhere late in Saturday’s loss at Florida, Whitlow suffered a knee injury and had a procedure today. Recovery time? Up to six weeks, and that’s not even considering how much time he needs to work his way back into game rhythm.

For an Auburn team that had some trouble on Saturday moving the ball, this news it tough to hear. Let’s be honest, Boobee was never Cadillac, Irons, Tre Mason, Kerryon, or the greats of the past, but he was the best that Auburn had this season. Truth be told, he was better than he was last year. Auburn’s offensive line wasn’t doing him many favors, but he still managed to run for 544 yards and 7 touchdowns through the first half of the season. He was on pace for the expected 1,000-yard campaign, and the staff was doing a good job of making sure he didn’t get too run down by saving a ton of his carries for late in games.

Now, things get a little murky. Thankfully Auburn’s got a week off to help prepare a new starter for the game at Arkansas a week from Saturday. Here are the choices:

Kam Martin - 174 yards, 5.1 ypc, 2 touchdowns

Shaun Shivers - 144 yards, 5.3 ypc

D.J. Williams - 32 yards, 4.6 ypc

Harold Joiner - 19 yards, 4.8 ypc

Malik Miller - 16 yards, 4.0 ypc

There’s not a lot of work in the group above. In fact, the second leading rusher on the team... can you name him? That’s right. Bo Nix, with 191 yards. In fact, Joey Gatewood, Anthony Schwartz, and Eli Stove all have more yards on the ground than Williams, Joiner, and Miller. That’ll likely change now.

So, what’s our timeline here? If we assume the full six weeks for recovery, then here’s where we can expect to get Whitlow back in the fold.

Week 1 - BYE

Week 2 - @ Arkansas

Week 3 - @ LSU

Week 4 - vs Ole Miss

Week 5 - BYE

Week 6 - vs Georgia

Now, he could ostensibly be back as early as the game against Ole Miss, and those two bye weeks sure do help in this regard. You would imagine that Auburn doesn’t need him to beat the Hogs and the Rebels, but we were going to be in for one of the toughest matchups against LSU anyway, and now we’ll be short-handed.

We’ll have to wait and see what Gus chooses to do over the next couple of weeks. Does he go with the experience in Kam Martin, or do we start to see D.J. Williams get work in at Arkansas before becoming the feature back in Baton Rouge? Only time will tell.

from College and Magnolia - All Posts https://www.collegeandmagnolia.com/2019/10/8/20905749/boobee-whitlow-out-for-4-6-weeks

#IFTTT #Blogger #auburn #auburn fast #wareagle #AuburnFamilyNews #war eagle #sec #football news #aubu