#fatal error jd

[rdostuff]

This meeting will be fatal for you.

Fatal Error JD by: @echostarsys

(I hope you don't mind that I changed some clothes look)

aw fuck i forgor glitch things. tail did not fit into the composition

gift for Branch (any universes)

[miggylol]

OKAY I'LL SUMMARIZE

So JD Vance is Trump's veep pick to replace Mike Pence (who made the fatal GOP error of following the constitution on J6 2020 and not announcing Trump as eternal godking)

Overall, Vance's rollout since the GOP convention has been

not

great

Now, some important context is that a bunch of extremely sexist and off-putting video has surfaced from previous campaigns, podcasts, etc. For example:

In a 2021 appearance on Tucker Carlson’s former Fox News show, Vance, who was then a candidate for the Ohio Senate, told Carlson that the United States was being run by “a bunch of childless cat ladies who are miserable at their own lives and the choices that they’ve made and so they want to make the rest of the country miserable, too.”

This generated a lot of outrage, as you'd expect, and the current peak result of this quote is major news outlets talking about Jennifer Aniston calling him heartless. Vance's other quotes are driving a lot of news stories, they can be looked up, yadda yadda, but they're not really part of this particular saga.

No, what's really captured people's attention about Vance is this one tweet that someone dashed off:

Damn, it even has page numbers cited! It must be legit, right?

No. It's totally made up. But people wanted to believe, and boy, did they run with it. A sample:

Snopes chimed in with a factcheck on whether that text was in Vance's book, and no, it was not.

The Associated Press tried to do the same, but there's one problem: they phrased their headline a little differently.

And people pointed out that while you can objectively verify whether certain text is contained inside a book, you can't actually verify that Vance has never had sex with a couch! Whether for the AP realizing that they'd posted an unverifiable "factcheck" headline, or for an editor going "why the fuck did you write that in the first place," this soon happened:

Which means that if you try to visit the article saying that no, Vance didn't fuck a couch, you see this:

As many people immediately realized: it's funny to have the AP run its initial headline; it's fucking hilarious for them to pull the factcheck after its publication. The collective hilarity surged even higher.

So. Where things are by July 25th:

So yeah.

Vance's rollout has had some issues.

I do love Tumblr's isolation from some topics, but we're tragically missing out on the JD Vance couchfucking saga

[ajfl007]

Greenland ERUPTS As JD Vance Makes FATAL ERROR During VISIT🚨

[mythicalcoolkid]

So... I did this

[I did not make the original graphic, credit for that goes to neko_nekomancer on Twitter. Link to original Twitter post]

1 Khonjin igiuL Jr. III (Khonjin House)

2 Proto Man (Mega Man)

3 Death the Kid (Soul Eater)

4 Meta Knight (Kirby)

5 Player character (Petscop)

6 Blake Belladonna (RWBY)

7 The Voice Inside Your Head (SiIvaGunner)

8 HABIT (Everyman Hybrid, fanart by CuriosityDotKill on DeviantArt)

9 Edelgard (Fire Emblem)

10 White Face (IMSCARED)

11 Calamitas (Terraria Calamity mod)

12 Abigail (Stardew Valley)

13 Niko (OneShot)

14 Caliborn (Homestuck)

15 Misery (Cave Story)

16 Gideon Graves (Scott Pilgrim vs. the World, film)

17 Bubby (Half-Life)

18 Tomura Shigaraki (My Hero Academia)

19 Edolon Vryche (Vast Error, Homestuck universe)

20 Romeo (Minecraft)

21 Lord Garmadon (Ninjago)

22 Allister (Pokemon)

23 Ivor (Minecraft)

24 SCP-1471 (SCP Foundation)

25 Henry Cooldown (No More Heroes)

26 Craig Boone (Fallout)

27 GLaDOS (Portal)

28 Dr. Clef (SCP Foundation)

29 The Snatcher (A Hat in Time)

30 Ulfric Stormcloak (Skyrim)

31 Greg Heffley (Diary of a Wimpy Kid)

32 Napstablook (Undertale)

33 Benrey (Half-Life)

34 Juice (17776)

35 SCP-079 (SCP Foundation)

36 Slenderman (Creepypasta universe)

37 Dr. Bright (SCP Foundation)

38 343 Guilty Spark (Halo)

39 Prince Zuko (Avatar: The Last Airbender)

40 Dark Samus (Metroid)

41 SCP-049 (SCP Foundation)

42 Joker (Innocent Sin) (Persona)

43 Goro Akechi (Persona)

44 Tweek Tweak (South Park)

45 Jason Voorhees (Friday the 13th)

46 Severus Snape (Harry Potter)

47 Jessie Pinkman (Breaking Bad)

48 Wheatley (Portal)

49 Draco Malfoy (Harry Potter)

50 Rosalina (Mario)

51 Ghostface (Scream)

52 Soft Fuzzy Man (Lemon Demon, aimkid)

53 Kenji Setou (Katawa Shoujo)

54 Tohru Adachi (Persona)

55 Four (Object Show)

56 Cynthia (Pokemon)

57 Anakin Skywalker (Star Wars)

58 Okuyasu Nijimura (Jojo's Bizarre Adventure)

59 Loki Laufeyson (Marvel)

60 Enclave soldier (Fallout)

61 Mitth'raw'nuruodo (Star Wars)

62 Byakuya Togami (Danganronpa)

63 Kokichi Oma (sprite) (Danganronpa)

64 Hannibal Lecter (Hannibal)

65 Joker (Persona)

66 Reigen Arataka (Mob Psycho 100)

67 Shizune Hakamichi (Katawa Shoujo)

68 Hanako Ikezawa (Katawa Shoujo)

69 Kylo Ren (Star Wars)

70 Alexsandr Kallus (Star Wars)

71 Rio Ranger (Your Turn To Die)

72 Raymond (Animal Crossing)

73 Leafy (Object Show)

74 Tsumugi Shirogane (Danganronpa)

75 L Lawliet (Death Note)

76 Walter White (Breaking Bad)

77 Jay Blitzerian (Big Mouth)

78 Jessi Glaser (Big Mouth)

79 Missy Foreman-Greenwald (Big Mouth)

80 Nick Birch (Big Mouth)

81 Andrew Glouberman (Big Mouth)

82 Asuka Langley (Neon Genesis Evangelion)

83 Celestia Ludenberg (Danganronpa)

84 Korekiyo Shinguji (Danganronpa)

85 Teruteru Hanamura (Danganronpa)

86 The Joker (Batman)

87 Kanamori Sayaka (Keep Your Hands Off Eizouken!)

88 Rick Sanchez (Rick and Morty)

89 Aaron Burr (Hamilton)

90 Shadow the Hedgehog (Sonic the Hedgehog)

91 Killua Zoldyck (Hunter X Hunter)

92 Dirk Strider (Homestuck)

93 Tom (Eddsworld)

94 Junko Enoshima (Danganronpa)

95 Kaede Akamatsu (Danganronpa)

96 Spy (Team Fortress 2)

97 Trophy (Object Show)

98 Rantaro Amami (Danganronpa)

99 Ken Kaneki (Tokyo Ghoul)

100 Shigeo "Mob" Kageyama (Mob Psycho 100)

101 Bea Santello (Night in the Woods)

102 Miu Iruma (Danganronpa)

103 Suitcase (Object Show)

104 N (Pokemon)

105 Light Yagami (Death Note)

106 Lollipop (Object Show)

107 Beetlejuice (Beetlejuice the Musical)

108 Pyro (Team Fortress 2)

109 Maki Harukara (Danganronpa)

110 Tord (Eddsworld)

111 Bendy (Bendy and the Ink Machine)

112 Heather Chandler (Heathers)

113 Yuri (Doki Doki Literature Club)

114 Aradia Megido (Homestuck)

115 Catra (She-Ra and the Princesses of Power)

116 Hisao Nakai (Katawa Shoujo)

117 The Onceler (The Lorax)

118 Sans (Undertale)

119 Bill Cipher (Gravity Falls)

120 Jolyne Cujoh (Jojo's Bizarre Adventure)

121 Ticci Toby (Creepypasta universe, fanart by fatal-impurity on DeviantArt)

122 Monokuma (Danganronpa)

123 Jason "JD" Dean (Heathers)

124 Susie (Deltarune)

125 Alexander Hamilton (Hamilton)

126 Dio Brando (Jojo's Bizarre Adventure)

127 Vinegar Doppio (Jojo's Bizarre Adventure)

128 JFK (Clone High)

129 Gamzee Makara (Homestuck)

130 Sou Hiyori (Your Turn To Die)

131 Nagito Komaeda (Danganronpa)

132 Spinel (Steven Universe)

133 Eric Cartman (South Park)

134 William "Purple Guy" Afton (early form) (Five Nights at Freddy's)

135 Kokichi Oma (illustration) (Danganronpa)

136 Mikan Tsumiki (Danganronpa)

137 Cronus Ampora (Homestuck)

138 William "Purple Guy" Afton (later form) (Five Nights at Freddy's)

139 Alex Delarge (A Clockwork Orange)

140 Terezi Pyrope (Homestuck)

141 Hiyoko Saionji (Danganronpa)

142 Sayori (Doki Doki Literature Club)

143 Peridot (Steven Universe)

144 Nickel (Object Show)

145 Magolor (Kirby)

146 Chara (Undertale)

147 Rodrick Heffley (Diary of a Wimpy Kid)

148 Squidward Tentacles (Spongebob Squarepants)

149 The Observer (TribeTwelve)

150 Dib Membrane (Invader Zim)

151 Eridan Ampora (Homestuck)

152 Vriska Serket (Homestuck)

153 Monika (Doki Doki Literature Club)

Characters by source:

Juice (17776)

Raymond (Animal Crossing)

Zuko (Avatar: The Last Airbender)

The Joker (Batman)

Beetlejuice (Beetlejuice the Musical)

Bendy (Bendy and the Ink Machine)

Jay Blitzerian, Jessi Glaser, Missy Foreman-Greenwald, Judd Birch, Nick Birch, Andrew Glouberman (Big Mouth)

Walter White, Jessie Pinkman (Breaking Bad)

Misery (Cave Story)

Alex Delarge (A Clockwork Orange)

JFK (Clone High)

Slenderman, Ticci Toby (Creepypasta universe)

Nagito Komaeda, Kokichi Oma (illustration and sprite), Teruteru Hanamura, Byakuya Togami, Kaede Akamatsu, Tsumugi Shirogane, Junko Enoshima, Mikan Tsumiki, Monokuma, Miu Iruma, Hiyoko Saionji, Rantaro Amami, Celestia Ludenberg, Maki Harukara, Korekiyo Shinguji (Danganronpa)

L Lawliet, Light Yagami (Death Note)

Susie (Deltarune)

Greg Heffley, Rodrick Heffley (Diary of a Wimpy Kid)

Yuri, Monika, Sayori (Doki Doki Literature Club)

Tord, Tom (Eddsworld)

Ulfric Stormcloak (The Elder Scrolls)

HABIT (Everyman Hybrid, fanart by CuriosityDotKill on DeviantArt)

Frank Horrigan, Craig Boone (Fallout)

Edelgard (Fire Emblem)

William "Purple Guy" Afton (two forms) (Five Nights at Freddy's)

Jason Voorhees (Friday the 13th)

Bill Cipher (Gravity Falls)

Benrey, Bubby (Half-Life)

343 Guilty Spark (Halo)

Alexander Hamilton, Aaron Burr (Hamilton)

Hannibal Lecter (Hannibal)

Severus Snape, Draco Malfoy (Harry Potter)

The Snatcher (A Hat in Time)

Heather Chandler, Jason "JD" Dean (Heathers)

Dirk Strider, Aradia Megido, Vriska Serket, Gamzee Makara, Eridan Ampora, Cronus Ampora, Terezi Pyrope, Caliborn, Edolon Vryche (Homestuck universe)

Killua Zoldyck (Hunter X Hunter)

White Face (IMSCARED)

Dib Membrane (Invader Zim)

Vinegar Doppio, Okuyasu Nijimura, Dio Brando, Jolyne Cujoh (Jojo's Bizarre Adventure)

Hanako Ikezawa, Shizune Hakamichi, Kenji Setou, Hisao Nakai (Katawa Shoujo)

Kanamori Sayaka (Keep Your Hands Off Eizouken!)

Khonjin igiuL Jr. III (Khonjin House)

Meta Knight, Magolor (Kirby)

Soft Fuzzy Man (Lemon Demon, aimkid)

The Onceler (The Lorax)

Rosalina (Mario)

Loki Laufeyson (Marvel)

Proto Man (Mega Man)

Dark Samus (Metroid)

Ivor, Romeo (Minecraft)

Shigeo "Mob" Kageyama, Reigen Arataka (Mob Psycho 100)

Tomura Shigaraki (My Hero Academia)

Asuka Langley (Neon Genesis Evangelion)

Bea Santello (Night in the Woods)

Lord Garmadon (Ninjago)

Henry Cooldown (No More Heroes)

Lollipop, Suitcase, Leafy, Four, Nickel, Trophy (Object Show)

Niko (OneShot)

Joker, Joker (Innocent Sin), Goro Akechi, Tohru Adachi (Persona)

Player character (Petscop)

Cynthia, N, Allister (Pokemon)

GLaDOS, Wheatley (Portal)

Rick Sanchez (Rick and Morty)

Blake Belladonna (RWBY)

Gideon Graves (Scott Pilgrim vs. the World, film)

Dr. Bright, Dr. Clef, SCP-079, SCP-1471, SCP-049 (SCP Foundation)

Ghostface (Scream)

Catra (She-Ra and the Princesses of Power)

Plague Knight (Shovel Knight)

The Voice Inside Your Head (SiIvaGunner)

Shadow the Hedgehog (Sonic the Hedgehog)

Death the Kid (Soul Eater)

Eric Cartman, Tweek Tweak (South Park)

Anakin Skywalker, Kylo Ren, Alexsandr Kallus, Mitth'raw'nuruodo (Star Wars)

Spinel, Peridot (Steven Universe)

Squidward Tentacles (Spongebob Squarepants)

Abigail (Stardew Valley)

Spy, Pyro (Team Fortress 2)

Calamitas (Terraria Calamity mod)

Ken Kaneki (Tokyo Ghoul)

The Observer (TribeTwelve)

Sans, Chara, Napstablook (Undertale)

Sou Hiyori, Rio Ranger (Your Turn To Die)

[hindunrisni]

I might be a covidiot because im always in doubt.

I need to write before my brain collapsed to this unstructurized overthinking.

Ragu buat nulis ini tp tulisan aku ga mungkin viral juga so i'll write what inside this brain anyway.

Covid sudah hampir 2 tahun.

Generally di awal, terbagi dua kubu. Percaya covid dan tidak percaya covid. Yang tidak percaya covid dianggap mabuk konspirasi. Then it developed, i guess? Tidak percaya covid mungkin terlalu ekstrem sehingga berubah menjadi kelompok orang2 yang percaya covid memang ada, tapi tidak semenyeramkan itu, tidak seberbahaya itu, just a usual flu, so menurut mereka: "santuy ajaa"

Which one is me?

I'm not gonna tell. But my brain is getting overwhelmed recently. I do believe in science. Aku lulusan farmasi, mantan apoteker klinis di RS, dan sekarang magister candidate farmasi klinis di salah satu univ di indonesia. I am doing research. I am fully aware that we need and will always need science. Kalau di kurva Dunning Krugger, I either still stupid and not confidence or a bit smart but not confidence. Either way i am not smart and confidence enough to tell things to people. Just to give disclaimer that i am just nobody.

Buat aku, dunia saat ini seperti sedang menjalani clinical trials. Di awal pandemi, seorang profesor di RS terkenal bilang "covid ini masih banyak yang harus diteliti, masih ongoing, jd kita kasi apa aja obat yang ada". Oh yes of course, itu pasti suatu keniscayaan ketika penyakit-baru muncul. Bukti2 ilmiah masih terbatas so trial and errors will be one way. Bless the patients. Now its been almost 2 years. Riset tentang covid luar biasa banyaaaakk sekali. Yah siapa yang tidak tertarik dengan pandemi? Akan ada banyak orang2 yang berbaik hati mencari solusi keluar dr pandemi dan akan ada oknum yang memanfaatkan momen untuk hal-hal tertentu tanpa berniat menyelesaikan pandemi.

Aku bukan penggila konspirasi. Tapi aku selalu terbuka dengan berbagai kemungkinan. Kadang kita gabisa netral dan cukup strategis dalam menghadapi pandemi ini karena alur informasi yang begitu cepat, polarisasi pendapat, opini2 yang berseliweran dan dengan mudahnya mengarahkan kita pada satu keyakinan. What expose us more, build us more. Pendapat2 dengan bias pengalaman pribadi, sahabat baik nakes, sahabat baik intel, dan semuanya. Kadang buat kita tidak bisa membaca situasi dengan objektif.

Scepticism is sometimes needed, no? Or maybe i got some trust issues. Aku masih anak bawang dalam riset tapi aku tau beberapa bias yang terjadi dalam riset klinis, beberapa hal yang dapat memengaruhi hasil riset. So, when a statement about covid comes out, aku sering berusaha untuk baca risetnya sendiri, melakuan appraisal dari mulai kualitas jurnalnya, desain dan metode, penarikan kesimpulan, conflict of interest (walau kadang ga ditulis padahal ada), sampai funding. We can not only read abstract since it doesnt give us that much. Sometimes author just put what interesting or what they want the result to be to make the abstract attractive, no?

But i dont always do that. Often, i simply too lazy. This is what we call as a lazy perfectionist, its suffering. You keep thinking about that but you do nothing. That sucks.

Anyhow.

There are some concerns and/or questions pop up in my head that ive been trying to answer despite my laziness.

How dangerous covid is? The prevalence is high, yes. The transmission is high, mainly the delta varian. Yet the severity are classified. Otg, ringan, sedang, berat. Seberapa infeksius masing2 derajat? Theres one research say asymptomatic patients gives 1/5 transmission, which makes sense. Otg tidak bersin dan batuk2, kemungkinan virus keluar dari tubuh sedikit. Viral load pada otg mungkin jg sedikit. Tapi apakah ketika menularkan, org yang ditularkan kemudian sakit parah atau otg juga? Kemungkinan tergantung kondisi orang tersebut, banyak faktor dari mulai usia, komorbid, dan gaya hidup. Walau kemungkinan penularan otg cuma 1/5, mau main2 dengan kemungkinan? I cannot say things like that without evidence i know but some of these are just logic.

But how if we compare it to other infections just like 'conspiracies people' ask. So far, orang2 yang menjawab pertanyaan itu berkata "buat kamu statistik itu angka, tp buat keluarga korban, itu nyawa". To me, orang2 yang bertanya demikian bukan berarti tidak berempati dengan korban. Beberapa dr mereka juga ingin keluar dari pandemi dan mungkin, mungkin, mungkin, mencoba mencari solusi 'lain'. Bagaimana kalau ternyata orang2 otg dalam jumlah besar ini magnitude dan efek penularannya sama seperti infeksi lain yang tidak fatal, mungkin pendekatan solusinya akan berbeda. "Tapi covid ini obatnya belum ada, infeksi lain sudah ada". Now my questions shift. How covid affect a person with pure covid and a person with comorbids (say with hypertention diabetes, asmatic, and all)? Does the infection worsen the conditions that much? How risk benefit analysis is done toward these comorbids and polypharmacy patients since drugs themselves also not fully safe? As a clinical pharmacist, i learn adverse drug reactions and drug interaction theoritically. Am i scared to drug? Often, yes. Because drug interations are hard to analyze in clinical settings. I believe doctors will use their expertise experience rather than theory. So yes i am scared because nothing is absolute. The reason I still keep my prokes and dont want to get infected is because i dont want to consume the drugs. In these ongoing drug trials everywhere, nothing I can trust 100% haha. And yes, aku panik sama orang tua yang sering keluyuran. Mereka komorbid. Kalau infected, sudah pasti aku akan pusing mengambil keputusan.

Pikiran2 ini mungkin muncul karena aku gerah dengan keadaan. Mungkin jg krn orang2 sekitar aku rata2 otg dan gejala ringan, so yes tulisan ini jg bias. But please never pray for me to have a relative that got severe sick due to covid just to make me believe 100%. Please no. Aku percaya covid and i dont wanna get infected.

Well anyway, aku gerah dengan keadaan. Indonesia ga seperti Singapura atau New Zealand yang, mau covid itu bahaya atau ngga, fasilitas dan sdm mereka mumpuni, penduduk mereka sedikit, it will more controllable. Sedangkan Indonesia, aku lelah baca berita yang bilang IGD dimana2 penuh. BOR 90% terisi. Nakes, otg atau bukan, ya harus isolasi. Bagaimana kalau ternyata otg dan derajat ringan tidak seberbahaya itu? Otg msh bisa kerja dan sedikit memulihkan kekacauan di rumah sakit. Nakes2 jadi ga burnout.

Penundaan operasi karena covid. Bagaimana kalau ternyata efek covid ke penyakit lebih kecil daripada penundaan operasi? Efek penularan covid ke nakes lebih kecil daripada risiko meninggalnya pasien jika tidak operasi? Akhirnya pasien meninggal bukan karena covidnya, tp karena penundaan operasi untuk penyakit lain yg dia punya.

Bagaimana dg org2 yg ekonomi lemah? Risiko covid dan risiko mereka kelaparan karena lockdown lebih besar mana?

Di awal pandemi, org2 yg ga boleh keluar adalah org2 dengan komorbid. Tetapi kemudian berkembang menjadi semua orang. Setauku, sesuatu dikatakan pandemi ketika transmisinya besar, tidak terlalu dilihat dari magnitude dan dampak gejala/penyakitnya. I mean, can we be more detail toward degree of severity and its effect? Memang sudah diberlakukan di beberapa hal, seperti yg sakit sedang-berat ke RS, yg otg ringan isoman di rumah. But, can we be even more detail and deepeer about this? Riset2 yg ada juga byk yg mendata overall inhospital mortality, artinya data kematian tidak dipisahkan antara penyebab primer dan sekunder. And again, how risk benefit analysis is done toward comorbid and polypharmacy patients? Safety obat kadang dianaktirikan. Overtreatment sometimes chosen to avoid covid kill the patients. Well, drugs can kill patients too. This is why dokter/nakes smart memang dibutuhkan. Dengan segala ongoing research selama pandemi, apalagi muncul mutasi begini, jangan sampai keputusan2 yang ada tidak berdasar analisis risiko-manfaat yang tepat.

So, i need to know more about poor outcome in symptomatic and asymptomatic covid adjusted to every concurrent drugs and medical conditions and adjusted to availibility of isolation room and resources and adjusted to everything lol. How infectious asymptomatic covid is and should we worry about it compare to any other disease. QoL symptomatic covid 19 patients compare to other infectious disease. how is association between happy hypoxia and covid, severity, outcomes, should we worry. What are the updates treatment now and why and how and are they safe and effective? How urgent vaccines are (in deeper analysis) - i already got my vaccination schedule, dont worry. And the biggest questions since mutations are the devil now, every W-H questions about mutations are stuck in my brain now. This is only clinical questions, there are way more abundant.

Kalo aku di singapura mungkin aku ga perlu mikir beginian. Dengan kemewahan2 yang mereka punya, indeks korupsi yang kecil, SDM yang mumpuni, penduduk yang sedikit, bahaya atau tidaknya covid mungkin ga pernah akan aku pikirkan regardless my scepticism toward research. Dampak sosial dari pandemi ini bukan main, kan.

So well, sebetulnya masih banyak di kepala, dan susah banget rasanya membuat semua ini terstruktur dan tersambung-sambung dengan baik. Pada akhirnya, dengan segala skeptisisme dan keterbatasan riset, aku memilih untuk mengikuti instruksi otoritas dan ahli. Kenapa? Because i know i am not smart, masih anak bawang yang banyak gataunya. Masih males baca riset. Dan gampang overwhelmed sm tsunami informasi. Dan mutasi. Ergh. Berasa harus baca riset2 covid dari awal. There are a lot of things i need to learn. Semoga Allah selalu memberi petunjuk dalam setiap pengambilan keputusan. Aamiin

[televisionpromos]

Mayans MC 5x04 "I See the Black Light" Promo - After a fatal error, the Mayans navigate the dangers of their new trade, forcing an unlikely alliance. Written by Meredith Danluck, Directed by JD Pardo.

[jerseydeanne]

The Harry bashing is unfair and some understanding and compassion applied.  Yes he should not have gotten involved with her or hung around SH.  Clean it up Harry.  But I say what I have said since early on - she is  a narc.  She is like krazy glue - attaches herself to you and won’t let go.  She uses her pr apparatus and knowledge, her allies, the gossip rags willingness to print anything to make $$ to create an illusion.  For a year she created the illusion of an affair with Harry.  That affair was thoroughly debunked by the blogs NYC JD AHPF and us posting here. The RF just ignored her and failed to emphatically state she was telling lies so she was able to carry this sham affair on.  I am one who thinks that was an error on their part but they are in charge.  Eh!

Then she ambushed him at IG and found a way to coerce him into a fake engagement.  This engagement is just a continuation of the fake affair - pr, media and brands making $$ and the same passive resistance by the BRF.  It has an end date.  It seems inexplicable to most but you must try to understand the craziness of a narc.  Normal behavior is not for them - rules are not for them - they will do whatever they think will allow them to reach their goal including threats.  Harry was left with few viable choices and he gave in to her plan to protect himself and his family.  Her ace is the race issue.  Once an accusation of racism is made there are many who would believe it without any ability to persuade them otherwise.  That would be a devastating charge against the RF.  

Markle exists in a world of delusion - that she is sooo remarkable that she thinks  can control people especially she can control Harry first with sex flattery now through threats manipulation.  She thinks she can bend your mind with her pr - that is why she attacks tumblr so much.  Tumblr and other sites do not bend to her mind control attempts.  She believes her own pr which is a fatal flaw.  

I can see that many do not understand the strategy being used.  Passive resistance til the end date arrives.   Neutralize her race card by extending all public courtesy to her.  Every effort made to support her.  But let the public see the issue is not race but her CHARACTER.  Which she reveals.  

Look at the IG pics, look at the pics of Harry’s interactions with her.  Consider the planning for this wedding we have observed is unlike any royal wedding ever.  Look at the evidence presented here of her lies her past behavior in relationships.  See the truth.

Harry is not weak he is not desperate.  He is not betraying his Queen.  Yes he can be a jerk but we have seen his dedication and his service.  Have patience.  Understanding.  Confidence.  This will end.  No wedding.

Thank you ckob

[wakingthefury]

What Christians need to know about Islam and its Eschatology

Listen to Today's Program JD: I think we need to look at some of the basic foundations of Islam and ultimately to believe. DJ: Well there are five pillars of the faith which actually outline what Muslims are expected to do. The first is the declaration of faith the shahada which says that there is no God but Allah and Mohammad is his prophet. And so by doing that that is actually how someone becomes a Muslim. There are other things they must do that is praying five times a day, fasting, giving alms and then at least once in their lifetime preform the Hajj which is the trip to Mecca. And then there are six articles of faith just to know they would include things like belief in Allah, belief in angels, belief in the prophets of Allah, belief in the books of Allah, and belief in the ultimate decree of God which results in ultimately fatalism. JD: In reality David we’ve discussed Islam on this program in the past and you’ve studied Islam for a number of years but let me ask you this, as you have been digging deeper in your research for the course was there anything that really struck you about Islam that you might not have been as of aware of as you are right now? DJ: I really brought this out in one of the hours toward the end of the course. So many touch points of correspondents between Islamic eschatology and Biblical eschatology. It was clear that Mohammad must have had some knowledge of the Christian scriptures and there were Christians in that area and so there are a lot touch points. And what I would suggest is that is has always happened in history Satan is very much aware of the revelation of God of the Bible and the prophecies that were made and both the Hebrew scriptures and the Christian scriptures and the New Testament. And I would say he has taken those truths and he has introduced error so that there’s a mixture of truth and error and this is what causes some people to think that there’s not much difference when there actually is. There is significant differences in the eschatology. You must be carful not to be deceived by what I would call satanic theology and superficial parallels. JD: David James with an understanding of Islam and its eschatology.

We report this information because it is setting the stage for Bible prophecy to be fulfilled.

David James recently taught at our School of Prophets understanding Islam. In this brief program there was no way to give all the details of a ten-hour course. David in his previous statement explained the five tenants of Islam and a brief look at Islamic eschatology. The bottom line is that Islam is a satanic faith since it denies that Jesus Christ is the Son of God in the living flesh. I John 4:3 says denying that Jesus is the Son of the true God makes you an antichrist. 

via Jimmy DeYoung's News Update https://ift.tt/2JtAcIj

[eunoiaproject]

Everybody's clear?

Jadi ceritanya saya masih dalam euforia ACLS nih.

Masih terasa berdebarnya ujian megacode, ditambah saya dapet jackpot instruktur/penguji yg paling killer.

Oya, ACLS nya dilaksanakan 9-11 Februari di PERKI House, Benhil Jakarta.

1 kelas ada 30 orang.

Hari pertama:

• Pembekalan BHD, lanjut praktek RJP dgn souvenir face mask yg dikasih di meja pendaftaran.

• Post test BCLS dan Pre Test ACLS. FYI, buku modul merah-biru yg dikirim jauh2 hari itu nyatanya baru saya baca H-1 malemnya 😂 *kebiasaan

• Materi lagi, praktek lagi. Kali ini utk alat bantu nafas lanjut dan defibrilasi.

Hari kedua:

• Materi, siangnya simulasi megacode dgn kelompok kecil yg isinya 5-6 orang.

Disini kita berotasi utk mencoba menjadi semua peran: team leader, bagian ventilasi, bagian kompresi 2 orang, bagian masukin obat intravena, dan jadi pencatat serta time keeper.

Ketegangan sudah dimulai karna instruktur yg killer tadi sudah mengkondisikan itu sbg ujian.

Beliau blg, "Tenang saya ga akan gebrak2 meja karna tangan kanan saya sedang cidera (sambil nunjukin tangannya yg di-elastic verband)"

Nyatanya? Tangan kirinya maen 😪😂

Saya khawatir tangan kirinya bernasib sama wk.

Tapi sebenernya tegang sama penguji itu latihan mental awal, karna menghadapi keluarga pasien itu jauh lebih berat.

Pokoknya, kalo kita sudah matang dengan algoritma, fokus dan tenang, insyaaAllah tidak mudah goyang dgn kasus apapun atau dgn suara tangisan-jeritan-amarah keluarga.

Hari ketiga:

Langsung ujian tulis post test ACLS.

Dan ujian megacode.

Yap, tibalah giliran saya. Penguji yg tidak lain adalah Sp.JP melontarkan pertanyaan pertama: "kamu beneran ga lagi hamil kan?"

*ACLS ini dikontraindikasi kan utk bumil usia kehamilan berapapun. Karna RJP berisiko abortus/hal lain yg tdk diinginkan.

Saya jawab: "engga dok, ini bajunya aja yg besar hehe"

Trs nanya lagi: "kamu waktu di kuliah dulu pasti rajin ya? Kamu seringnya dicontekin apa nyontek?"

Saya: "ha engga dok biasa aja. Saya ga nyontek dan ga nyontekin dok."

Langsung disambut ketawa sambil bilang "haha parnoan ya kamu."

Saya: "pernah sekalinya nyontekin saya disuruh keluar dok"

Oke, dimulai kasusnya.

Wanita 50 tahun dgn nyeri dada.

Seinget saya gini:

Awalnya mengarah ke STEMI dgn hipotensi. Udh pasang oksigen, IV line, monitor, dikasi aspilet sm cpg, di fibrinolisis karna onset baru 2 jam, dan akses PCI perlu waktu 3 jam.

Setelah fibrinolisis, tetiba SVT HR 200 --> kardioversi.

1 kali kardioversi, masih SVT. Kedua kalinya, saya saking gugupnya kali, pas liat monitor bengong dan keburu mencet shock sebelum saya sadar irama jd STEMI lg.

Kena semprot dah. Hahaha

Okey, error kedua adalah ketika mau kardioversi lagi, saya lupa mencet tombol 'sync' alias syncronized.

Kali ini beliau nyamperin sambil teriak2 di kuping saya. Saya masih bisa nyengir.

Lalu pasien tetiba ga nafas.

Langsung liat monitor, jadi VF.

Oke panggil orang buat RJP sama VTP.

Sambil saya siapin charge defib.

Siap, tinggal di delivered shock-nya. Succeed. 2 menit RJP, stop kompresi dan cek monitor lg--> masih VF.

Pas bilang i'm clear, you're clear, everybody's clear. Saya ga bener2 ngeliat sampe ujung ranjang pasien apakah ada orang disana yg masih nempel.

Nahhh yang bagian shock kedua ini nih, yg ga akan saya lupakan sepanjang sejarah persilatan.

Sesuai kebiasaan yg selalu clear, saya pencet tombol shock dannn...

"BRAKKKKK"

Semua langsung menoleh ke meja beliau. Meja, untung kamu benda mati.

Saya terhentak kecil "Astagfirullah"

Saya lumayan bingung salah dimana. Trus beliau langsung nunjuk2 tangan temen saya yg jadi korban 10 Joule saya 😂😌.

Tangan temen saya sengaja ditaro di ujung bed sama penguji.

Bener2 ga terdugaah mbak-mas-adek-kakaa

"Lu liat ga sih tangan temen lu nempel di kasur?!! Gua tau lu ga liat sampe ujung. Lu ngerti gakk mata lu harus liat kemana waktu lu bilang i'm clear, you're clear, everybody's clear?"

Dann secara saya anaknya agak bebel kalo dimarahin, saya masih bisa ngejawab dengan nada biasa aja.

"Lu udh ngelakuin 2 kesalahan tadi, sekarang ditambah lagi kesalahan fatal! Temen lu bisa meninggal cuman gara2 lu yg gak liat2 pas mau defib!"

Saya cuman bisa senyum tabah sambil tetap tenang. Adek pasrah bang!

"Nama lu siapa?"

"Dahlia"

"Oke nama lu gua coret!! Lu ngulang lagi sama gua Minggu depan!! Lu ga lulus."

Saya... Cuma.... Bisa.... Bilang... Astagfirulloh.. dan membayangkan harus izin lagi sama kapus, ngeluarin duit buat hotel lagi, bensin buat transport lagi, dll.

"Gua ga lulusin lu, biar lu inget selamanya kalo energi defib itu ga main2. Di lantai atas udah 2 orang yg ga lulus!"

Betul2 memang nih, separuh napas saya agak berat jadinya. Saya terus2an istighfar dan pasang muka biasa aja.

Selang berapa detik, setelah beliau ngeliat semua taring singanya, beliau bilang: "2 kali kesalahan lu, 1 fatal, kalo 1 lagi elu ngelakuin kesalahan, OUT!"

Fuiiih, leganyoo. Ternyata bener, beliau ga setega itu. Tapi itu cukup mengukir dalam di memory jangka panjang saya.

Selanjutnya Alhamdulillah ga ada kesalahan lagi. Pasiennya sempat 5x defib, hingga akhirnya ROSC.

ABCDE.

Airway, Breathing clear.

C-nya, tensi 80/50, HR 90, rhonki 1/4 lapang paru. Masuk Dobutamin 5 mcg/kgBB/menit. Dan rujuk PCI karna dengan fibrinolisis tdk berhasil.

Hmm fuuh, alhamdulillah selesai!

Tapi jangan sumringah dulu, beliau bilang grup saya 10 menit lagi ada responsi (tanya jawab) lagi dengan beliau.

Oh, mann. Ronde keduaa

Setelah ujian ada makan siang dengan menu lezat plus banyak variasi tp nafsu makan merosot karna belom kelar ujian hidup ini.

Temen saya yg tangannya jadi korban 10 Joule itu bilang, rasanya kayak kena pentol korek api. Saya ga nyangka, kirain ga ber-efek.

Well, responsi dimulai dengan pertanyaan: kenapa hiperkalemi bisa bikin AV block dan junctional rythm?

Dann beliau makin mengganas disini.

Tapi di ujung responsi beliau menyampaikan maaf dan moral story. Beliau memberi kesan sweet ending disini.

Yapp, semua di kelas saya alhamdulillah dapet amplop yg berisi sertifikat dan pin unyu.

Pelatihan ACLS ini serasa membangunkan kecintaan saya yg dulu begitu membara terhadap ilmu jantung.

Saking membaranya, sempat jadi asap dan abu.

Jujur, saya kangen berat sama suasana IGD. Kangen tapi gamau juga suasana "bau"nya. Hahaha

(bau=hectic saking penuh pasien)

Saya berniat setelah kontrak di dinkes ini, saya bisa mengobati kangen saya ke IGD 😆

[consagous]

Covid-19 & The Way to An Automated Future!

The current pandemic is definitely playing its role in making us look for them quickly, so that we can make sure that these futuristic and autonomous models are able to deliver when needed.

To put it simply, the world has been on its toes since news of the coronavirus outbreak took the headlines by storm. Life has come to a halt, and governments are trying really hard to find out ways of combating this pandemic to the best of their capacities.

Millions of employees around the world have started working from home in the midst of this current situation. Countless retail businesses are having a hard time to take care of the supply, and customers too in their panic, have held up the stock of multiple items that range from toilet paper to food essentials.

In Wuhan though, which is the epicenter of the COVID-19 outbreak, Chinese E-commerce brand JD tested autonomous delivery robots and ran its fully automatic warehouses for 24 hours each day to manage the increase in demand of items. With people locked down in their homes, the requirement of autonomous machines has never been more pronounced, where they are something more than mere concepts.

A future that relies on automation was already coming, but given the epidemic, it has led to the acceleration of this particular process. Problems and issues which existed in the Artificial Intelligence (AI) sector have been exposed. Just being aware of catchy words and the hype surrounding this concept might have been a hindrance in taking accurate note of the progress.

If things actually need to be accelerated for getting to an automated future quickly, there are some much-needed reforms that need more attention than ever-

1. A New Set of Evaluation Metrics

With more and more autonomous machines finding deployment in the outside world, the usual metrics like cycle time, speed and success rates are no longer the accurate providers of the complete scenario.

This is what needs to be done in this case-

We need to evaluate system reliabilities under uncertain situations with metrics like the degree of human intervention in particular automated processes.

More standards and industry tools that are capable of conducting an overall evaluation of system performance under multiple cases as real-life scenarios come with a lot of uncertainty.

A few years ago, DevOps arrived on the scene to cut the development cycle short and provide top-notch software. In comparison, AI and ML are pretty new. However, MLOps and AIOps are increasingly being used, marking a crucial shift from just AI/ML based research to their use in actual products.

2. Redesigning Communication & Error Handling

We might be years away from getting fully autonomous solutions, but robotics is still pretty able to bring immediate utility for us. Even if involved in the operations to a certain degree, companies can bring about a considerable reduction in labor and other costs.

There is a need to come up with different categories for errors at different levels, design appropriate protocols and ensure that taking care of fatal errors is the first priority in every such case where a system can stop and will need human involvement to take care of.

Detecting those errors which are untraceable by the system too is another difficult facet to come to terms with, highlighting the importance of two-way communication, allowing users to mark errors or bring a contingency plan in effect.

3. Redefining Interaction Between Machines & Humans

Coronavirus has forced a huge number of

companies in USA

to make a quick shift to the cloud through the adoption of automation. Because there are just a handful of people who are charged with managing a large fleet of robots, it is yet to be seen if there are right kinds of technologies with us to ensure that information is quickly transferred for swift decision- making.

When it is about providing input to robots, we normally rely on machines like tablets or computers. But, with time, as the information pile keeps on increasing and response time needs to be more efficient, looking into the technologies of AR/VR might provide a lot of answers to revolutionize human-machine interaction.

The current pandemic is definitely playing its role in making us look for them quickly so that we can make sure that these futuristic and autonomous models are able to deliver when needed.

The above points will definitely prove to be a lot of help to the producers of such systems in making breakthroughs quickly.

If you are in need of sophisticated mobile applications and web products, Consagous Technologies is the leading

Web and mobile app development company USA

, dedicated to give you cutting-edge solutions for your requirements.

Contact Us:

Consagous Technologies

Address: 3680 Wilshire Blvd Ste P04 - 1870 Los Angeles, CA 90010

Phone: +1 (512) 488-3568

Email:

projects@consagous.com

Original Source:

https://www.consagous.co/blog/covid-19-the-way-to-an-automated-future

[tastydregs]

Will COVID-19 accelerate an automated future?

Millions of Americans have started to work from home amidst the current COVID-19 pandemic. Retailers have struggled with supply while nervous consumers are hoarding everything from toilet paper to hand soap. Across the globe, Chinese e-commerce giant JD began testing a level-4 autonomous delivery robot in Wuhan and running its automated warehouses 24 hours a day to cope with a surge in demand.

Suddenly, autonomous machines need to be better than just proof of concepts. They can no longer depend on on-site engineering support for edge cases. They must be robust enough to work independently across various real-life situations.

In some ways, the COVID-19 epidemic accelerates an automated future that’s already on its way. It has exposed problems that have long existed in the artificial intelligence (AI) venture scene: buzzwords and hype cloud people’s judgment, making it difficult to see real progress.

The industry needs to take on much-needed reforms towards real-world autonomous systems in the following three areas.

1. Rethink metrics

As more autonomous machines are deployed in the real world, conventional metrics such as speed, cycle time, or success rate can no longer represent the full picture. We need to measure the reliability of the system under uncertainties with robustness metrics such as the average number of human interventions.

We need more tools and industry standards to evaluate overall system performance across a wide range of scenarios because real life, unlike a controlled environment, is unpredictable.

If a delivery robot can reach a max speed of 4 MPH but cannot complete a single delivery without human support, the robot is not creating much value to its users.

DevOps emerged a few years ago to shorten the development cycle and continuously deliver high-quality software. In comparison to software engineering, AI or machine learning (ML) is much less mature. 87% of ML projects never go into production. However, recently we’ve started to see MLOps or AIOps appearing more and more.

This marks a crucial transition from AI/ML research to actual products that are used and tested every day. It requires a significant change in mindset to focus on quality assurance instead of state-of-the-art ML models. I’m not saying we can’t have both at the same time, but to date, we’ve seen much more emphasis on the latter.

Starsky Robotics, a once promising self-driving truck company founded in 2015, shut down in March. Founder Stefan Seltz-Axmacher said its biggest challenge was that “supervised machine learning doesn’t live up to the hype.” | Credit: Starsky Robotics

2. Redesign error handling and communication

The recent shutdown of Starsky Robotics reminds us that we are still years away from fully autonomous solutions. That doesn’t mean robotics cannot bring immediate values to humans. Even if humans need to handle edge cases 15% of the time, that still means companies can reduce significant labor and integration costs.

However, AI companies currently tend to spend much more resources on building autonomous systems and much less time thinking about error handling and seamless hand-off between machines and humans.

We need a better way of handling and communicating errors, especially for ML products because ML is more probabilistic and less transparent. Therefore, showing the confidence level of model predictions or framing your predictions as suggestions instead of decisions are ways to gain trust with users.

We need to categorize errors into different levels, design different protocols accordingly, and prioritize minimizing fatal errors that stop the system and require human intervention. If fatal errors occur and the system isn’t working anymore, can we respond quickly and troubleshoot remotely?

The most difficult part is to identify the unknown unknowns, errors that systems cannot detect. Therefore, it’s also crucial to have two-way communication and allow users to flag errors or choose to activate the previously agreed fallback plan.

3. Redefine human-machine interaction

The novel coronavirus forces companies to more rapidly adopt automation and shift to the cloud. As fewer people control a larger number of robots, do we have the right tools and technologies to pass all the relevant information to that decision-maker promptly? Are there enough sensors on each robot to provide a full picture?

Today, we rely on tactile input like computers or tablets to control robots. Are these still the best interface as the amount of information soars and response time remains short? Should we reconsider human-machine interfaces that go beyond tactile, for example, voice, VR/AR or brain-machine interface?

We also need to decide who should be in control. As machines get smarter, should we always make the final call?

For example, who should be controlling an autonomous robotaxi? The car itself? The human safety driver? Someone who monitors a fleet of robotaxis remotely? The passengers? Under what situation? Or should it be a co-decision with weighted judgment by both humans and machines? What’s the ethical implication? Can the interface support multi-step co-decision making?

Ultimately, how do we design human-centered AI to make sure autonomous machines make our lives better, not worse? How do we automate the right use cases to augment humans? How do we build a hybrid team that delivers better outcomes and allows humans and machines to learn from each other?

There are still a lot of questions that we need to answer. And the current COVID-19 pandemic is pushing us to answer them more quickly so that would-be autonomous systems can deliver on their promise. If the makers of these systems can focus on the three areas I’ve outlined above, they’ll be better positioned to reach key conclusions more quickly. And that will ensure we’re heading in the right direction.

About the Author

Bastiane Huang is a Product Manager at OSARO, a San Francisco-based startup building AI-defined robotics. She has worked for Amazon in its Alexa group and with Harvard Business Review, as well as the university’s Future of Work Initiative. She also writes about ML, robotics, and product management.

The post Will COVID-19 accelerate an automated future? appeared first on The Robot Report.

[hilariusress]

Employer Name Error Doesn’t End Plaintiff’s ADEA Action - JD Supra

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