Podcasts about terribly

Who will play during Patriots preseason? Who needs the most reps? Who will be the most determined to impress the new coaching staff? Joe Milton talk. Is a “flant” a real word? Joe Milton discussion. Why did the Patriots trade him for almost nothing? Keeping Milton resulted in the offense splitting up into factions. Terribly managed last week of last season.

Who will play during Patriots preseason? Who needs the most reps? Who will be the most determined to impress the new coaching staff? Joe Milton talk. Is a “flant” a real word? Joe Milton discussion. Why did the Patriots trade him for almost nothing? Keeping Milton resulted in the offense splitting up into factions. Terribly managed last week of last season. Grab Bag Revisiting San Diego Caller

The Weird Circle (06) 1943 A Terribly Strange Bed

SPORTS: Cone: We played terribly in 4th quarter | July 11, 2025Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe Visit our website at https://www.manilatimes.net Follow us: Facebook - https://tmt.ph/facebook Instagram - https://tmt.ph/instagram Twitter - https://tmt.ph/twitter DailyMotion - https://tmt.ph/dailymotion Subscribe to our Digital Edition - https://tmt.ph/digital Check out our Podcasts: Spotify - https://tmt.ph/spotify Apple Podcasts - https://tmt.ph/applepodcasts Amazon Music - https://tmt.ph/amazonmusic Deezer: https://tmt.ph/deezer Stitcher: https://tmt.ph/stitcherTune In: https://tmt.ph/tunein #TheManilaTimes#KeepUpWithTheTimes Hosted on Acast. See acast.com/privacy for more information.

This is a catch-up version of James O'Brien's live, daily show on LBC Radio. To join the conversation call: 0345 60 60 973

Confessional Hebrews 10:14, Rom. 8:13, Col 3:1-5, 2 Corinthians 3:18

Brandon is NOT nervousYou can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/barstoolyak

Young Chihiro spends his days training under his famous swordsmith father. One day he hopes to become a great sword-maker himself. The goofy father and the serious son--they thought these days would last forever. But suddenly, tragedy strikes. A dark day soaked in blood. Chihiro and his blade now live only for revenge. Epic sword battle action!Support The Podcast!⁠⁠https://creators.spotify.com/pod/show/roose366/subscribe⁠⁠Follow For More Content &Streams!Twitch: ⁠⁠https://www.twitch.tv/roosejp⁠⁠Kick: ⁠⁠https://kick.com/roosejp⁠⁠Youtube: ⁠⁠https://www.youtube.com/@Roose366 ⁠⁠Youtube Gaming: ⁠⁠https://www.youtube.com/@RooseJp/videos⁠⁠Tiktok: ⁠⁠https://www.tiktok.com/@podcastonanime⁠

18 Wheeler Driving Terribly 06/13/25

The astrology of this week is intense, chaotic, and challenging. We are under the effects of Saturn and Neptune being very close to each other in Aries, the upcoming Square by Jupiter to them both, as well as a Mars Square to Uranus, all of which will be exact next week. In the meantime, this week, we have challenging transits to Pluto, Saturn, and Neptune to contend with, as well as an emotionally provocative Full Moon in Sagittarius. In an increasingly complex world, the astrology is as heavy as you might expect. Learn all about it on this week's episode of Ghost. Enjoy Jessica‘s free hour-long talk on Jupiter in Cancer for free over on Patreon.

Something To Think About Series #202 Thought of the day from Venerable Robina Courtin

The Spoiled Boy With the Terribly Dry Throat | Bigdail Ladka Jiska Gala Behad Sookh Gaya Tha | Writer Idries Shah | Translation in Hindi Poorva Yagnik Kushwaha | Narrator Ruchi Agarwal*Ruchi Agarwal is a professional freelance voice-over artist, fluent in Hindi, English, and Rajasthani (Marwari), with a passion for bringing words to life. She has one year of experience in the voice-over industry and is equipped with a fully functional home recording setup.Ruchi has lent her voice to a variety of projects including work for Kuku FM, advertisements, announcements, explainer videos, commercials, e-learning modules, YouTube channels, 3D graphics agencies, storytelling, and character voices.Curator: IrfanJoin the Art of Reading:Share Your Story on Listen with IrfanDo you have a passion for reading literature or narrating captivating prose? Here's your chance to shine! I'm thrilled to announce a new collaborative series, Art of Reading, on my podcast channel, Listen with Irfan.If you love bringing stories to life, I'm offering you a platform to showcase your talent.Record a short story of your choice (maximum 8 minutes) and share it with a community of like-minded narrators and listeners. This is a free, non-commercial initiative to connect aspiring narrators, promote storytelling, and build a creative community. No monetization, just pure love for the art of narration.How to Participate:- Choose a short story or piece of prose you're passionate about.- Record it with clear audio using a mobile phone or audio recorder. Do not include your name or the story's title in the recording.- Background music is optional, but avoid copyrighted tracks to prevent hosting issues.- Send your recording via email to ramrotiaaloo@gmail.com or WhatsApp at +91 9818098790.Submission Guidelines- -Submit only MP3 files. - Include:1. Name2. Current City3. Profession4. Brief bio (max 80 words)5. Photograph (if requested after review)  Full credit to the writer and narrator will be given on the Listen with Irfan podcast channel. Join us to share your voice, connect with an audience, and celebrate the art of storytelling!Let's create something beautiful together!Cover: IrfanWe respect creative ownership. If you believe this is your work or if appropriate credit hasn't been given, kindly get in touch at ramrotiaaloo@gmail.comBECOME A PATRON : Work on Listen with Irfan takes time, money and hard work to produce. As of now it is being done voluntarily with the family, friends and listeners who came forward for hand holding from its inception.  If you like the Podcasts, admire it, and benefit from its content, please consider awarding us an honorarium to make the future of this Podcast Channel robust and assured.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠यहाँ आपको मिलती हैं वो दुर्लभ आवाज़ें खुद बोलती, गाती और बहस करती। मनोहर श्याम जोशी, कमलेश्वर, कृष्णा सोबती, बी वी कारंत, शमशेर बहादुर सिंह, बलराज साहनी, अज्ञेय, रसूलन बाई, निर्मल वर्मा, मंगलेश डबराल, राजेंद्र यादव, चंद्रकांत देवताले, भवानी प्रसाद मिश्र, इस्मत चुग़ताई, सत्यदेव दुबे, त्रिलोचन, अमरीश पुरी, इब्राहीम अल्क़ाज़ी, मोहन उप्रेती, गोरख पांडेय, नैना देवी, वीरेन डंगवाल, मन्नू भंडारी, भीष्म साहनी, देवकी नंदन पांडे आदि के अलावा अनगिनत भारतीय और विदेशी समकालीन विचारक, कलाकार, लेखक, कवि और सांस्कृतिक लड़ाके। किताबों पर चर्चा के पॉडकास्ट, संगीत, फिल्म रिव्यू और स्ट्रीट रिकॉर्डिंग्स का एकमात्र पॉडकास्ट मंच। Details to support this Podcast Channel i.e. ⁠⁠⁠⁠⁠⁠⁠⁠Listen with Irfan⁠⁠⁠⁠⁠⁠⁠⁠ :-Bank Name: State Bank Of IndiaName: SYED MOHD IRFANAccount No:32188719331Branch: State Bank of India, Vaishali Sec 4, GhaziabadIFSC–SBIN0013238UPI/Gpay ID irfan.rstv-2@oksbiPayPal ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠paypal.me/farah121116⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠RazorPay etc ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://irfaniyat.stck.me/⁠⁠⁠

The Democrats New Plans to Attract Real Men to the Party Is Underway, And It's Going TerriblyLive show Monday-Thursday, 3pm est. SOCIALS: https://linktr.ee/drewberquist NEWS: https://DrewBerquist.com MERCH: https://RedBeachNation.com#DrewBerquist #ThisIsMyShow #TIMSTop 100 Political News Podcast with https://www.millionpodcasts.com/political-news-podcasts/Show Notes/Links:Democrats hire Olivia Juliana to attract young male votershttps://x.com/ImMeme0/status/1927920098083287065Olivia Juliana speaks about attracting men to Democrats on podcasthttps://x.com/TrumpWarRoom/status/1928061543704326168Pete Buttigieg claims he regrets how COVID, the border and other issues were handledhttps://x.com/kylenabecker/status/1927772691064328434President Trump says he told Netanyahu to stand downhttps://x.com/WarClandestine/status/1927774604241559723President Trump slams reporters for suggesting he always chickens out on tariffshttps://x.com/BehizyTweets/status/1927769614575927346Trump's first rescissions package — clawing back wasteful spending in USAID, foreign aid, the Corporation for Public Broadcasting, and NPR — will be sent to Congress next weekhttps://x.com/RepEliCrane/status/1927834082060181903Before Memes...You have to choose your breakfast sandwichhttps://x.com/eatinerni/status/1928031622093328749 Hosted on Acast. See acast.com/privacy for more information.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We actually think it's kinda cool to periodically check in on our hosts and talk over their lives, ask em questions, interview them essentially. So this week, with no real plan Nate interviews Jordan. Sorta. One off soft plastics, Bible stories, the trials of buying / selling a house and how to recover from a crap tournament. That and much more. Again, sorta. PLEASE GIVE US A 5 STAR POSITIVE REVIEW ON WHATEVER PLATFORM YOU'RE ON! TELL A FRIEND. SHARE THE WORD! Seriously though, it really helps us! POSITIVITY IS WORTH THE EFFORT! ALL FISHING IS FUN FISHING! https://www.tackleandtacos.com/ https://www.grizzlycoolers.com- code WCB for 15% off https://hookandarrowsupply.com https://www.leupold.com/ https://www.workingclassbowhunter.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

KTV features prominently in the Chinese social scene. And everyone, everyone has their turn at the mic. Sometimes your friends surprise you with their ability to belt out pop standards. Other times, though, you find yourself suffering through butchered John Denver classics. If you're experiencing the latter of these two situations, check out today's lesson to find out how to get your friends off stage! Episode link: https://www.chinesepod.com/1381

This week-the perfect gift-a vibrator for Mothers Day, Fuck My Life, Things that are no longer sexy and Hook ups gone terribly wrong

MeidasTouch host Ben Meiselas reports on Donald Trump's disastrous press conference in Qatar as his finishes up what was possibly the worst foreign trip in American history. Reverse hair loss with @iRestorelaser Get $625 OFF with the code: MEIDAS at https://iRestoreLaser.com/MEIDAS #irestorepod Visit https://meidasplus.com for more! Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast The Influence Continuum: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan Mea Culpa with Michael Cohen: https://www.meidastouch.com/tag/mea-culpa-with-michael-cohen The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show Burn the Boats: https://www.meidastouch.com/tag/burn-the-boats Majority 54: https://www.meidastouch.com/tag/majority-54 Political Beatdown: https://www.meidastouch.com/tag/political-beatdown On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered Coalition of the Sane: https://meidasnews.com/tag/coalition-of-the-sane Learn more about your ad choices. Visit megaphone.fm/adchoices

On the show today, one of our hosts watched a terribly reviewed rom-com on Netflix (just a little film starring Nicole Kidman and Zac Efron) and secretly loved it.So it got us thinking, what are the other movies that critics and fans alike agree are terrible that we still love to watch (even though we’ll never admit it out loud). From action movies, to horror flicks and romantic comedies with A-list stars these are all the terribly reviewed movies that we secretly love. GET IN TOUCH:Do you have feedback or a topic you want us to discuss on The Spill? Send us a voice message, or send us an email thespill@mamamia.com.au and we'll come back to you ASAP!THE END BITSThe Spill podcast is on Instagram here.Read all the latest entertainment news on Mamamia... here.Subscribe to MamamiaCREDITSHosts: Laura Brodnik & Kelly McCarrenExecutive Producer: Amy KimballAudio Producer: Scott Stronach Mamamia acknowledges the Traditional Owners of the Land we have recorded this podcast on, the Gadigal people of the Eora Nation. We pay our respects to their Elders past and present, and extend that respect to all Aboriginal and Torres Strait Islander cultures.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Terribly wounded on 25 April 1915 at Gallipoli, AIF Private Frank Downes would be celebrated as The Blind Digger. After returning home on the first hospital ship from Egypt, he was an Anzac hero, a patriotic public speaker, a radio personality and a good husband and father. But Frank's image was to be tainted by scandal and then shattered by a mysterious death that left Aussies wondering whether this war hero was a cold-blooded murderer.For free trial access to early ad-free episodes and exclusive bonus episodes:Apple.co/ForgottenAustralia or https://podcasts.apple.com/au/podcast/forgotten-australia/id1442763878Patreon.com/ForgottenAustraliaCheck out my books:They'll Never Hold Me:https://www.booktopia.com.au/they-ll-never-hold-me-michael-adams/book/9781923046474.htmlThe Murder Squad:https://www.booktopia.com.au/the-murder-squad-michael-adams/book/9781923046504.htmlHanging Ned Kelly:https://www.booktopia.com.au/hanging-ned-kelly-michael-adams/book/9781922992185.htmlAustralia's Sweetheart:https://www.booktopia.com.au/australia-s-sweetheart-michael-adams/book/9780733640292.htmlEmail: forgottenaustraliapodcast@gmail.com Hosted on Acast. See acast.com/privacy for more information.

A sermon on Colossians 2:12-15 Speaker: Seth Wachtel

April 17th: Seath Jackson Killed (2011) Teenagers experience a wild range of emotions at what feels like maximum intensity. What happens, though, when that emotion is rage and jealousy? On April 17th 2011 a young boy lost his life at the hands of a group of teens. A murder motivated by jealousy and misplaced anger. https://allthatsinteresting.com/seath-jackson, https://www.miaminewtimes.com/news/teenager-seath-jackson-brutally-murdered-by-five-others-near-ocala-6545159, https://www.clickorlando.com/news/local/2020/06/17/woman-convicted-of-teens-murder-to-be-released-from-prison/, https://www.forthefansmedia.com/post/a-twisted-love-triangle-the-death-of-seath-jackson, https://www.forthefansmedia.com/post/a-twisted-love-triangle-the-death-of-seath-jackson, https://www.cbsnews.com/pictures/fla-teens-found-guilty-in-murder-of-seath-jackson/, https://www.murderpm.com/p/the-murder-of-seath-jackson, https://www.unilad.com/news/us-news/teenage-killers-seath-jackson-charged-murder-779425-20230818 Learn more about your ad choices. Visit megaphone.fm/adchoices

We go through all the terrible trends from the 2000s and ask, what were we thinking? Learn more about your ad choices. Visit megaphone.fm/adchoices

What starts as another chill ‘n chat episode turns into a discussion on terrible horror movies that we love!It's sporadic, it's chaotic, and it's a really fun episode!We hope you enjoy the show!  If you have enjoyed listening to our show, then give us a 5-star rating. We'd greatly appreciate it!    Be sure to follow, Like, and Subscribe to us on all our social media sites: YouTube: https://www.youtube.com/@houseofghoulsDiscord: https://discord.gg/ghoulsquadMerch Store: https://www.ghoulsquadshop.comFacebook: https://www.facebook.com/groups/houseofghouls Instagram: https://www.instagram.com/houseofghoulspodcast/  Patreon: http://patreon.com/HouseofGhoulsPodcast  You can find Crystal on social media here:TikTok: https://www.tiktok.com/@horrornightsinInstagram: https://www.instagram.com/crystal_hni/YouTube:  https://www.youtube.com/c/HorrorNightsIn    You can find Ian on social media here: TikTok: https://www.tiktok.com/@ian.vanghoulInstagram: https://www.instagram.com/ianvanghoul/  YouTube: https://www.youtube.com/@IanVanGhoulLetterboxd: https://letterboxd.com/ianVanGhoul/  You can find Colby on social media here: TikTok: https://www.tiktok.com/@colby_does_horrorInstagram: https://www.instagram.com/colby.does.horror/YouTube: https://www.youtube.com/@Colby.Does.HorrorLetterboxd: https://letterboxd.com/colbydoeshorror/  House of Ghouls ThemeWritten by Ian VanGhoulProduced, Recorded, and Performed by Jimmy Mowery  Check out Jimmy's music and socials here:Instagram: https://www.instagram.com/jimmymowery/Spotify: https://open.spotify.com/artist/58e8QpVKO4GflSPwWIMhmw?si=ONJ2snr-Qr6ep_Gi2R2_UwYouTube: https://www.youtube.com/@jimmymowerymusic  MK Ultra (Used with permission from Victor Gabriel and Tate Labianca)Music written and performed by: Tate LabiancaMusic engineered by: Vincent Peters (Sumo Audio)Shot and edited by: Vincent Peters (Sumo Audio)Directed by: Victor GabrielCheck out the music video here:https://youtu.be/LhDikR8Dn2Q?si=vLqtQJAiBRmyHFV0  Thanks for listening. Have a great week and stay safe out there!!

Listen to this week's episode of the Dateline: True Crime Weekly with Andrea Canning. In Michigan, the prosecution plays the 911 call from the crime scene — but does it help the defense? In Hawaii, a doctor is charged with attempted murder after allegedly trying to push his wife off a popular trail. What she's told investigators. Jury selection is underway in Karen Read's retrial and finished early in Lori Vallow Daybell's Arizona trial. Plus, best practices for law enforcement on how to interact with people with autism. Find out more about the cases covered each week here: www.datelinetruecrimeweekly.com.Domestic violence resources: Call 1-800-799-SAFE, text START to 88788, or visit https://www.thehotline.org/

Listen to this week's episode of the Dateline: True Crime Weekly with Andrea Canning. In Michigan, the prosecution plays the 911 call from the crime scene — but does it help the defense? In Hawaii, a doctor is charged with attempted murder after allegedly trying to push his wife off a popular trail. What she's told investigators. Jury selection is underway in Karen Read's retrial and finished early in Lori Vallow Daybell's Arizona trial. Plus, best practices for law enforcement on how to interact with people with autism. Find out more about the cases covered each week here: www.datelinetruecrimeweekly.com.Domestic violence resources: Call 1-800-799-SAFE, text START to 88788, or visit https://www.thehotline.org/

ReferencesMol Cancer Ther. 2023 Sep5;22(9):1040–1051.Neuronal Signal. 2017 Jul 19;1(3):NS20160010. Clapton, E. 1969."Presence of the Lord" Blind Faith.lphttps://music.youtube.com/watch?v=oBoYPNhSQO0&si=aG26SpHT3aEgoeC0Simon, 1968. "Old Friends/ Bookends"https://music.youtube.com/watch?v=4TkJ7ymP6wE&si=bJQVlLZbOMJj-J1j

Were these gone? Or are these new? Did we have this? Our Heroes lack object permanence so they go back to Little Caesar's to try the new bacon and cheese crazy puffs. They almost didn't. The order was lost. Or was it? Was your name on it? Terribly important questions that cause so many fights it'll make your head spin. Nick is ON ONE here. Dark Empath is carving a new future. Wait we didn't get to how we almost didn't get the food! Wai- Sponsored by Mando. Control Body Odor ANYWHERE with @shop.mando and get $5 off your Starter Pack (that's over 40% off) with promo code EAT at shopmando.com! #mandopod And if you want good, head over to https://100percenteat.store/ Support us directly https://www.patreon.com/100percenteat where you can join the discord with other 100 Percenters, stay up to date on everything, and get The Michael, Jordan Podcast every Friday. Follow us on IG & Twitter: @100percenteat Learn more about your ad choices. Visit megaphone.fm/adchoices

THIS WEEK'S MESSAGE: Today you'll hear me explore what it means to become an authentic leader... you're going to have to do it awkward. Yep, it's awkward before it's elegant. I am seeking to learn how to embrace more of that process and lean INTO the awkward instead of wish it way or want it to be different. The "shoulds" around it being different are usually things we learned from the world around us... always wanting to present something finished/polished/perfected, but the real secret I'm seeking to embrace is that the awkward part is actually just LIFE. Can you embrace more of your awkward? Maybe we can do it together! Now I Become Myself May Sarton (1912–1995)Now I become myself.  It's takenTime, many years and places;I have been dissolved and shaken,Worn other people's faces,Run madly, as if Time were there,Terribly old, crying a warning,“Hurry, you will be dead before—“(What?  Before you reach the morning?Or the end of the poem is clear?Or love safe in the walled city?)Now to stand still, to be here,Feel my own weight and density!The black shadow on the paperIs my hand; the shadow of a wordAs thought shapes the shaperFalls heavy on the page, is heard.All fuses now, falls into placeFrom wish to action, word to silence,My work, my love, my time, my faceGathered into one intenseGesture of growing like a plant.As slowly as the ripening fruitFertile, detached, and always spent,Falls but does not exhaust the root,So all the poem is, can give,Grows in me to become the song,Made so and rooted so by love.Now there is time and Time is young.O, in this single hour I loveAll of myself and do not move.I, the pursued, who madly ran,Stand still, stand still, and stop the sun!ABOUT: Welcome to a Fireside Friday Recording. Every Friday morning I tap in and pour out messages and words meant to fuel your fire, Fire Starter! These messages are to encourage, empower and activate you deeper in your calling and initiatives that you want to see through. grounding and encouragement every Friday morning.Want to add this to your calendar?⁠⁠ Sign-up here⁠⁠ and I'll send you an invite!More of what to expect from these calls if you want to join live:• Our room opens at 8am, broadcast starts at 8:11am. It's okay if you can't make it live, I'll be posting an audio replay here to the podcast the following week and I trust that it will meet you right when it should.• This isn't a call you need to prepare for or that you'll even be interacting with others through… it's meant to nourish you.• Come as you are and as you can. Invite who you want.Fire Circle Sign-Up: We'll be gathering around the virtual fireside on Thursday April 10 at 8pm ET. These are community calls where you get to meet and interact with other Fire Starters in our community, you can sign-up for that here.

From rogue AI to horrifying genetic experiments, these three sci-fi horror stories explore the terrifying consequences of futuristic science gone terribly wrong. Author: Dave Kavanaugh Huge thanks to our sponsors: BetterHelp: This episode is brought to you by BetterHelp. Head to betterhelp.com/dns to get 10% off your first month. Acorns: Head to acorns.com/nosleeppod or download the Acorns app to start saving and investing for your future today. * * * EXPLICIT CONTENT DISCLAIMER: This episode contains explicit content not limited to intense themes, strong language, and graphic depictions of violence intended for adults 18 years of age or older. These stories are NOT intended for children under the age of 18. Parental guidance is strongly advised for children under the age of 18. Listener discretion is advised. #drnosleep #scarystories #horrorstories #doctornosleep #truescarystories #horrorpodcast #horror Learn more about your ad choices. Visit megaphone.fm/adchoices

3.7.25 Hour 3 1:00- Nats- Bobby Blanco, NFL- Mike Jones, Commanders- Chris Russell 21:15- Our producer Ryan had yet another terribly awkward moment off the air.

Back Home, One week later.By FinalStand. Listen to the Podcast at Explicit Novels.There is something worse than waking up and not knowing where you are: you could wake up and not know who you are.Note: World Events Stuff ~ aka Why things are happening in Cáel's lifeThe phone was from Iskender. His boss, Oyuun Tömörbaatar (OT), the former UN ambassador from Kazakhstan and now the informal and unrecognized UN representative and chief diplomat of the Khanate to the same august body, wanted to talk with me, immediately. OT wasn't being diplomatic at the moment, that would come later.{Now this is going to get convoluted}Any inquiries to the Khanate that didn't also include immediate official recognition of the Khanate currently were being steered my (and Hana's) way. For all the behind closed doors crap, he had me, his loyal ass-monkey mutton-head. I held faint hope that this latest meeting would work out to my benefit. For the meeting, I traveled light, only Naomi (the Amazon) and Chaz (British SRR) watched over me.Now fathers who know me, hide their daughters. I'd earned my 'scoundrel' reputation. T. Sarangerel, OT's daughter, was in the room when Iskender ushered me in. She gave me an uncertain look, I shrugged and she smiled. It took me 3 nano seconds to figure that out, OT was scoping me out as a potential son-in-law. I was in Temujin's Inner Circle and a man who he trusted (a rarity). Any union with me would strengthen OT's clan's standing in the new regime.The genetic footprint Temujin, and his immediate family collectively, had put down in the 13th and 14th centuries CE today was vast. He needed that to make his plans for the internal reorganization of the Khanate work. The old republics would go away, to be replaced by a system akin to the Byzantine 'themes, the re-organization of regions based on the recruitment of the Tumens.The Khanate was aiming for an 'Autocratic Republic' ~ a term invented in the 19th century. My use of this terminology was based on my gut instinct, Alal's host of memories involving every form of governance, and my experience with human nature. That clued me in to what Temujin was up to, his Greater Plan. He wasn't going to form a false-front government. He was going to retain the decision-making powers and do so openly, thus 'Autocratic'.He also planned to have a bicameral legislative branch. The Upper House would be based in Tumens and bureaucratic leadership, intellectual standing, religious sects, and tribal entities. This body would be based on merit, not primogeniture. The Lower, main chamber, would be a democratically-elected assembly (aka a democratic republic) that advised him on policy matters, thus 'Republic'.All the power would remain in the Great Khan's hands and would be exercised by his genetic descendants (which some geneticists estimated as being as high as 25% of the Central Asian population.) Marrying into that extended family would be easy, the 'family' itself would have a vested interesting in supporting a state that benefited them.Men and women could exercise power in the government through marriage alliances, identical to the manner Hana was working through me. Being surrounded by very populous countries in various states of belligerence, empowering women wouldn't be an issue since every willing mind and pair of hands mattered. Outsiders who shone through could be offered a spouse and brought into the ruling elite since polygamy was permissible.In the Khanate there would be universal compulsive suffrage (everyone 18+ was legally required to vote) to decide on the representatives in the new legislative body. Everyone was expected to fight, so everyone voted. It would be modeled on the Duma of early 20th century Imperial Russia. Unlike the ill-fated Tsar Nicholas II, Temujin would be much more attentive to the voice of the people, in the Information Age, he had to.Or so I hoped. I spewed forth my ideas to OT who didn't agree, or disagree with my vision. Perhaps Temujin and I did share a bond that went beyond obligation. OT then pulled a 'Pamela'."He told me he knew immediately you were his brother when you and I shared that vision," he commented out of nowhere."His words: You (Earth and Sky) are the old. He (meaning me) is the new. He (me again) will show us the way." My, that was nice, obtuse and not at all helpful. What did OT want? My good buddy, the Great Khan, wanted to cash in on Hana's and my sudden popularity. His most pressing need remained 'time'. He needed to have a cease-fire in the wings when his offensive resumed the next day.The Earth and Sky had moved, well, the Heaven and Earth to get the Tumens and their accompanying national armies up and running after only a two day respite. Thanks to me, Manchuria was a mess. The Russians had carried out my 'Operation: Funhouse' with mixed, mostly positive results.Dozens of smaller Chinese military police units along the border went, 'inactive' was the term most often used in the media. They didn't disarm, yet they didn't fight the Russians either. They sat back and let events unfold. The issue wasn't the Chinese's willingness to fight and die for their country. It was the schizophrenic government in Beijing.The PRC didn't want to wage a war with the Russian Federation at that moment. The Khanate was the priority. There were two fundamentally incompatible courses of action favored for dealing with the Russians:One large group advocated a passive Option A: let the Russians step in and shield the three remaining provinces making up Manchuria that were still in Chinese possession. Later, China would use military, economic and political means to edge the Russians out, once the Khanate was dealt with.A sizable faction favored a more aggressive Option B: play a game of chicken with Vladimir Putin. Tell the Bear not to come across the border while threatening him with a bloody and pointless (for him) guerilla war if he did intervene. Events on the ground were not providing a lot of support for that school of thought,However, this split at the highest levels of leadership left the local and regional commanders to try and muddle through as best they could. To the local commanders defending the Amur River side of the Chinese-Russian border, common sense dictated that they not oppose the Russian crossings, because the Russian 35th Army would kill them.All their military units had gone west to the Nen River line. With no heavy weapons and little air support, the People's Armed Police (PAP) (paramilitary) and the Public Security Bureau (regular police) units would be wiped out for little gain.Russia's GRU (Military Intelligence) sweetened the pot by allowing the police units to remain armed and in formation. It could be argued that they weren't even committing treason. At any time, they could throw themselves into the battle, or form the core of a resistance movement. 'Conserving your strength' had been a hallmark of the Communist Chinese struggle against the Imperial Japanese and Nationalists forces from the 1920's until 1945 and it had served them well.For the party officials, civil authorities and the People's Liberation Army (PLA), Army Air Force (PLAAF), and Army Navy (PLAN) who had gone with Option B, things weren't working out. In the north of Heilongjiang province at Morin Dawa/the Nen River line, the regional commander of the ad hoc forces facing the Khanate decided to duke it out with the Russian 36th Army as well. He was boned from the get-go.The PLAAF's overall command and control had been badly disrupted in the first few hours of The Unification War and had never fully recovered. Of the 22 air regiments that the PLAAF had started the war with in the Shenyang Military District (NE China), only 5 remained as effective formations flying, on average, a meager 20% of their original complement of advanced Shenyang J-16's, J-11's, Chengdu J-10's and Xian JH-7's aircraft.Replacing their aircraft losses meant sending up aged Shenyang J-8's (rolled out in 1980) and Nanchang Q-5's (in 1970) to fly and die in droves fighting their technologically superior Khanate foes. To add insult to injury, China's fleet of 97 Su-30MKK/MK2's (built in Russia) had suffered numerous suspicious mechanical and electronic failures, rendering them either flying coffins, or space holders in bomb-proof shelters.Furthermore, of the forces arrayed in the far north, only two of the five air regiments were responding. Two of the other three had begun displacing south into the Beijing Military District and preparing to defend the capital city. The fifth formation had another problem, North Korea (, more on that later.)In opposition to those two Chinese air regiments (roughly 60 aircraft of mixed types) stood seven complete and fresh Russian air regiments (over 400 front-line aircraft) and that didn't include the regiment and elements of the Far East Naval Aviation which was ALSO watching North Korea (, again more on that later.) The latter was of small comfort to the forces trying to hold the already compromised Nen River line.Behind those valiant troops, along the much more defensible Amur River line, the commander of the key city of Heihe sided with the Option A group and let the Russian 35th Army cross the river unopposed. By the time the PLA commanding general of the 'Nen Force' (the 69th Motorized Division and the subordinate 7th Reserve Division) figured that out, he was already in a shooting war with the Russians. So his supply lines weren't in danger, they were lost.The final indignity took place at Zalantun. The commander of the 3rd Reserve Div. had died during the attempt to recapture Zalantun. His replacement died when his helicopter was shot down as he was coming to assume command. In the absence of these officers, the divisional chief of staff told his men, including two hastily hustled forward mechanized brigades, to put down their arms. That meant 'Nen Force' was completely cut-off and surrounded.One battalion of the 36th Russian Motorized Brigade (yes, too many 36's running around) disarmed the Chinese troops while the rest, plus the 74th Independent Motorized Brigade raced for the prize, the city of Qiqihar. The last major mechanized formation of the 36th Rus. Army, the 39th MB was following them. However, instead of manning Qiqihar's defenses, the Chinese garrison in that city was waging war on its own populace.It wasn't only in Qiqihar; chaos reigned throughout Heilongjiang province. The Provincial Head of the Communist Party, Wang Xiankui, supported Option A. The Provincial Governor, Lu Hao, went with Option B. Both figures were rising stars in the PRC. Wang had ordered the still forming Reserve Divisions and the PAP units to disperse, thus avoiding any untimely confrontations with the Russians.Lu, without consulting Wang, ordered the same forces to launch a violent crackdown on all dissident forces, specifically all racial minorities. (It turned out that Lu was also a member of the Seven Pillars and his witch-hunt was aimed at getting the Earth and Sky organization operating in Heilongjiang).For the men and women on the other end of those phone conversations, there was no 'right' answer. Lest we forget, their organizations were already degraded by the Anthrax outbreak. Both men were powerful and represented China's future leadership, so if the person in charge at the ground level obeyed the wrong one, they could be assured of being roasted by the other.Some did try to do both, repress and disband at the same time. That meant that in the process of making mass arrests among an already war-fearful and plague-fearful populace, the law enforcement infrastructure began disintegrating.The problem with Lu's/7P's plan was that there was no 'revolutionary' organization to round up. That wasn't how the Earth and Sky operated in North-East China. They remained in tiny sabotage and reconnaissance cells. While they were scurrying for cover from the police crackdown, an opportunity presented itself.The afflicted minorities were getting furious with their treatment. These minorities saw themselves as loyal Chinese, yet they were being dragged out into the streets, put in detentions centers and (in a few cases) summarily executed. Being less than 10% of the overall population, resistance had never crossed their minds. It seemed all that those defenseless people could do was pray for Russian intervention forces to arrive.Within that mix of fear, betrayal and rage, the E and S discovered a way to start the dominos falling. The small, well-armed and well-trained E and S cells began ambushing police detachments. Weapons from those dead men and women were turned over to the pissed off locals before the cell went off to stalk the next police unit.Wash, rinse and repeat. It became a perverse and bloody case of wish fulfillment. Lu and the 7P's had been looking for an insurrection and they started one. Even though a miniscule portion of the population was involved, from the outside looking in, it reinforced the Putin Public Affairs initiative that portrayed Putin (and his army) as coming in to restore order to a collapsing civil system, which he was helping disrupt.From Moscow, the PRC's indecisiveness looked like Manna from Heaven. For the massive numbers of Russian soldiers riding through the Manchurian countryside, it felt like they were rolling into Arkham Asylum. Unlike the NATO countries' professional armies, Russia remained a largely conscript force whose normal term of service was only one year. These unseasoned troops could never tell if the local military, military police and police would attack until they rolled up on the Chinese units.At the start of that Day One of Operation: Funhouse, the Russian ROE (Rules of Engagement) was 'Ask and Verify'. It was tactically advantageous for the belligerent Chinese forces to lie about their intentions, then begin shooting at the Russians when they got close enough to hurt them. By Day Two, the standard front-line Russian soldier had adjusted that ROE to 'if they look at us wrong, light their asses up'. By Day Three, the officers had stopped trying to enforce Moscow's ROE orders.That was fine for the combat and rear echelon support troops because both the Chinese and Russian governments had another series of problems and they all centered around Pyongyang and Kim Jong-un's declaration that North Korea would intervene as well, without letting anyone know who he was 'intervening' against. To keep everyone guessing, the North Korean' People's Army was massing on all three borders, facing off with the PRC, Russia and South Korea. To prove his diplomatic intentions, Kim pledged to only mobilize half of his reserves, merely 4,250,000 extra men and women to go with his 950,000 strong standing army.It didn't take a military, or economic genius to realize the North Korean's chronically 'near death' economy was stampeding off a cliff. The Democratic People's Republic of Korea (DPRK) was in the middle of an oil crisis and Kim was increasing their fuel consumption by 400% while decreasing his workforce by 10%. To put it in perspective, the US unemployment was around 6%. Now imagine that in one week's time it would become 26%. One week, no severance packages. Would the population become unsettled?But wait, it gets better. The Secret War was colliding with the Real World in more places than Manchuria. Setting aside the assassination attempt (Grrr) of Hana Sulkanen, my fiancée, six Nipponese elders (two women and four men) appeared in the personal quarters of the Japanese Prime Minister on the first full night of 'Funhouse' and relayed their urgent requests.Those six were the Head of the Six (formerly Seven) Ninja Families and they were there at, my urging. Cause I'm an idiot and requiring the deaths of Romanians in my personal crusade obviously wasn't enough. Now I was asking the Japanese Defense Forces (JDF) to pony up as well. So take a deep breath and put on the hip-waders.You might be wondering why I would want the JDF, see, there was part of Operation: Funhouse that was hitting a predictable snag, namely the Korea People's Navy Force (KPNF) and the uncertain determination of the PLAN:The KPNF's vessels were rather old, small and crappy. They also had a love affair with anything that could launch a torpedo and they listed over 700 of these floating deathtraps (only 13 of which could be classified as surface warships) and the fanatical crews to take them into battle.The PLAN's numbers were far more realistic and the fleet generally more modern. Only their North (18 surface warships) and East Fleets (22 plus 5 'elsewhere') could play any role in an upcoming FUBAR, and both fleets were heading out to sea, mainly to avoid the sporadic, but increasingly effective Khanate air strikes.The FU to be BAR'ed was the Russian Far East Fleet (RFEF) (6 warships strong, ) that had seized on this crazy idea (per my suggestion) to sail south, around the Korean peninsula so they could land elements of the 55th Guards Red Banner Marine Brigade (the 165th Marine Regiment and the 180th Marine Tank Battalion).Theoretically they were going to be the 'Southern Shielding Force' that would interpose itself between the Khanate and Beijing. It should surprise no one that the RFEF's flotilla was unequal to the task of taking their destination, the port of Qinhuangdao, by amphibious assault. Fortunately for the Gods of War (which did not include me), there were five other navies involved.Meanwhile, South Korea was having kittens because their always crazy northern kin were slathering on the insanity. (In how many Buddhist countries do people flock to the temples and pray that their neighbor attacks someone, anyone else, but them? That wasn't a religious conundrum I wanted to deal with.) N.Korea mobilizing meant S.Korea had to mobilize, which sucked down on their GNP as well.Besides, N.Korean dams and coal-powered plants kept the lights on in Seoul. Erring on the side of caution, the S. Korea (aka Republic of Korea, ROK) Army suggested calling up only one million of their three million person reserve force in order to assure Cousin Kim that this was a purely defensive gesture. It didn't work. Kim Jong-un castigated the ROK for antagonizing him, despite his declaration that he 'might' feel like invading the South in the immediate future.Into the emerging crisis, the ROK Navy could sortie nineteen small surface ships. Japan's Navy wasn't up to its old imperial standards, but could still deploy 45 surface warships. The 800 lb. gorilla in the room was the core of the 7th Fleet stationed at Yokosuka, Japan, the USS carrier George Washington and her 14 escort vessels.If the George Washington was the gorilla, RIMPAC 2014 was King Kong. 22 nations, 50 ships, including the USS carrier Ronald Reagan were engaged in war games in the Central Pacific. With them were 5 vessels of the PLAN, had Kim Jong-un just kept his mouth shut, this wouldn't have been an issue. Hell, if the Khanate had not come into existence and launched its Unification War, but he had and they did,To show the US was taking this escalation seriously (without tipping their hand that they knew about Funhouse, Carrier Strike Group One (CSG 1) (the Carl Vinson +10) was rushing across the Pacific from San Diego. CSG 3 (the John C. Stennis +2) was being assembled hastily so that they could rendezvous with CSG 1 ASAP. So many brave souls running toward the danger, sometimes I hate myself.So now does it make sense that I found myself in a room with a US Senator tasked with riding herd on me?Anyway, there were the other three navies still unaccounted for, Taiwan / the Republic of China (ROC) (22 surface ships), Vietnam (7) and the Philippines (3). Taiwanese involvement was easy to explain, the PRC refused to acknowledge them as an independent country and probably never would.The Vietnam People's Navy was tiny in both numbers and tonnage. Five of the vessels were 1960's Soviet frigates. What Vietnam did have was a huge grudge against the PRC. The PLA invaded Vietnam in 1979 and devastated the northernmost provinces, killing as many as 100,000 civilians.The PLAN had walloped the VPN in 1974 (technically South Vietnam) and again in 1988. Out in the South China Sea were two island archipelagos; the Paracel (occupied by a small PLA garrison and claimed by the PRC, Vietnam and the ROC) and Spratlys Islands (disputed by Brunei, Malaysia, Philippines, the PRC, the ROC, and Vietnam).The Philippines had a grand total of three frigates (all between 50 and 70 years old). 99% of the time, they faced a hopeless struggle enforcing Philippines' South China Sea claims, except they were now experiencing that 1% where the PRC found itself in a life and death struggle. Even then, the PLAN's South Sea Fleet was hands-down the biggest player with 26 surface warships centered on the Carrier Liaoning.Except (and there always seems to be an 'except') virtually all the PLAN's naval aviation had gone off to fight the Khanate and it wasn't coming back, ever. In the air, the Philippines was next to useless. What did they have of offer in the struggle for the South China Sea? Bases. The ROC and Vietnam had much more to bring to the table.The Vietnamese People's Liberation Air Force (VPLAR) had about 50 front-line aircraft and 175 nearly obsolete models ~ the same models the PLAAF was now piloting. The ROC Air Force could put up 325 almost-new fighters that were now superior to their opponents on the mainland. Why would I give a shit?Things cascade. The Khanate Air Force took a two-day long deep breath as Putin's 'Policeman that only looks like an invading army' started their intervention. Forty-eight hours later, the Khanate started the fourth stage (the first lunge, defeat the PLA's counter-attack then the second lunge) of the campaign.Their initial air power was still skating on thin ice where maintenance was concerned. They need more time to thoroughly rest their pilots and bring all their top-flight equipment to 100% working condition. Against them, in two days the PLAAF's assets increased by over 250 fighters.In turn, the Khanate had added their constituent state air forces plus nearly 80 new cutting edge air planes and 25 drones. Phase Four saw rolling airstrikes all along the forces massing in front of the northern and central Tumens. For a few hours, the PLA thought they knew what was going on.They were wrong and this was where my meeting with OT came in. Jab with the right, cut them down with the left. The left in my case was Tibet. Yeah, Tibet. Economic value = not nearly enough. From the very start of the war, a small number of seemingly inconsequential air strikes had seriously eroded the PLA and PLAAFs combat power in the Tibetan Plateau while leaving the roads, bridges and towns intact.Common military logic dictated that the Khanate had to punch their way further east into Qinghai (to the south) and Gansu (to the north) provinces. That was where the population and industry where. Farther east were even greater numbers of people and factories and the Khanate forces in the North hadn't been strong enough to threaten to cut off the Qinghai-Gansu front. Then the Russians showed up and the Khanate forces threatening that flank doubled overnight.The PLA hastily reinforced their northern flank, using troops from their strategic reserves. The move resulted in incredible attrition by airpower to the freshly equipped formations. The PLA was about to get flanked, but not from the north. Southwest of Qinghai was Tibet. A third of the Khanate's mobile forces now swept around in a huge left haymaker to the south.My job? I needed the 'Free Tibet' forces in the US and UK to provide public and moral support to the Khanate move. As Khanate Special Forces seized crucial bottlenecks in Tibet, they needed the locals to keep their 'liberators' informed of PLA presences and undermine any attempt to create a guerilla movement.The five Tumens dedicated to being the Schwerpunkt (point of maximum effort) of this flanking maneuver were going to be on a tight timetable if they were going to surround the PLA forces in Central China.My plan was to convince the Tibetans that the PRC's 55 years of occupation was coming to an end and the Great Khan wanted to sign a 'Treaty of Mutual Respect' (my invention). This would require both the Khanate and Tibet to recognize each other's right to exist the moment a cease-fire was reached. That was it. No 'armed presence', or 'mutual defense' agreements.The treaty would be formally signed in Lhasa, the Tibetan capital, when the city was safe ~ as determined by the Central Tibetan Administration (the Tibetan Government in Exile, CTA). Riki came up with an additional sweetener and proved she was quickly adjusting to our group's extra-governmental capabilities.

BE WARNED: It's LuAnna, and this podcast contains honest, upfront opinions, rants, bants and general explicit content. But you know you love it! It's time to get TOTALLY EXTRA. Extra chat, extra rants, extra bants, extra stories, nonsense and more.On this week's Totally Extra: We listen to that time we pranked Hilda and it went TERRIBLY, ranting about makeup testers, a man with a smoking issue, a fella with a bangin' Tiramisu, a "gun" in Salzburg and a turd in the sea causes chaos. Remember, if you want to get in touch you can:Email us at luanna@everythingluanna.com OR drop us a WhatsApp on 07745 266947Please review Global's Privacy Policy: https://global.com/legal/privacy-policy/

After a major surgery on her leg, Cheryl is feeling fine, but pup Sami tells her mommy that she needs to get back to the hospital STAT. 

On The Horror this week, an adaptation from The Weird Circle of the Wilkie Collins story, A Terribly Strange Bed. This episode was originally heard July 29, 1943. Listen to more from The Weird Circle https://traffic.libsyn.com/forcedn/e55e1c7a-e213-4a20-8701-21862bdf1f8a/TheHorror1215.mp3 Download TheHorror1215 | Subscribe | Spotify | Support The Horror If you enjoy The Horror and would like to help support it, visit donate.relicradio.com for more [...]

In this week's episode, we focus on the importance of endowing positions, particularly outside higher education, to create financial stability and attract top talent to nonprofits. Look at universities that have successfully endowed faculty chairs. How much could those endowments help nonprofits manage rising costs and ensure critical roles are funded? The goal is to help nonprofits adopt this model, enabling long-term sustainability and greater impact in their communities.

Wippa caught up with the Renée Zellweger, Leo Woodall and Chiwetel Ejiofor to celebrate Bridget Jones: Mad About A Boy and the interview took an unexpected turn...See omnystudio.com/listener for privacy information.

Today, Crystal & Grey discuss Supernatural 6.11 -Appointment in Samarra We talk about: Chinese supermarkets, the complexity of Supernatural vs. Elmo, and how the only thing Sam did wrong in trying to kill Bobby is not giving an evil villain monologue about it. Sorry about the audio in this one! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Find Episode Transcripts Here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Listen to Episode Outtakes and Give us a Tip in Ko-fi!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our merch on Redbubble!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on Tumblr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email Address: bustyasianbeautiespod@gmail.com Podcast art is made by cyvvang! (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Redbubble⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠)

Grab your abomination hat and terrible uniform and get ready to clock into a TERRIBLY long shift at the Doublemeat Palace! This week Buffy joins the workforce again, and is faced with MORE than just the monotony of employment when she finds something under the meat grinder- A FUCKING FINGER! She behaves appropriately and has a menty-b (there Buffy.. have a menty-b!) but Buffy is determined to save her coworkers from MORE than ear grease plugs. In other news, Willow AND Anya both get visits from people from their past who attempt to bring back old habits. Rewatch, listen and laugh as we talk about trash fucking, undesirable color pallets, and we worship at the altar of she who is called Halfrek.And don't forget to follow us on Instagram at @the_rewatcher for special bonus content!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Revelation 1.9-20—Terribly Good News by Lettered Streets Covenant

In the face of climate uncertainty, growers wonder which grape varieties will flourish in their regions in the future, or if any will grow there at all. Joel Harms, Ph.D. student in the Department of Bioresource Engineering at McGill University in Australia is using artificial intelligence to simulate the potential to grow pinot noire in different regions of the world that are currently considered too cool. The project mapped 1,300 varieties to 16 different points of climate data including temperature, precipitation, and growing degree days. The findings could play a crucial role in identifying the winegrowing regions of tomorrow. Resources:         207: Managing Catastrophic Loss in Vineyards: Lessons from Cyclone Gabrielle in New Zealand Cal-Adapt Development of a generative AI-based model for guiding grape variety selection under contemporary climate dynamics Generative AI for Climate-Adaptive Viticulture Development Joel Harms Google Scholar Page Mapping Global of the Potential for Pinot Noir Cultivation under Climate Uncertainty using Generative AI University of Adelaide Wine Economics Research Center Vineyard Team Programs: Juan Nevarez Memorial Scholarship - Donate SIP Certified – Show your care for the people and planet   Sustainable Ag Expo – The premiere winegrowing event of the year Vineyard Team – Become a Member Get More Subscribe wherever you listen so you never miss an episode on the latest science and research with the Sustainable Winegrowing Podcast. Since 1994, Vineyard Team has been your resource for workshops and field demonstrations, research, and events dedicated to the stewardship of our natural resources. Learn more at www.vineyardteam.org.   Transcript [00:00:00] Beth Vukmanic: In the face of climate uncertainty, growers wonder which grape varieties will flourish in their regions in the future, or if any, will grow there at all. [00:00:13] Welcome to Sustainable Wine Growing with the Vineyard Team, where we bring you the latest in science and research for the wine industry. I'm Beth Vukmanic, Executive Director. [00:00:23] In today's podcast, Craig McMillan, Critical Resource Manager at Niner Wine Estates, with longtime SIP certified vineyard and the first ever SIP certified winery. Speaks with Joel Harms, PhD student in the Department of Bioresource Engineering at McGill University in Australia. [00:00:42] Joel is using artificial intelligence to simulate the potential to grow Pinot Noir in different regions of the world that are currently considered too cool. [00:00:52] The project mapped 1, 300 varieties to 16 different points of climate data. including temperature, precipitation, and growing degree days. The findings could play a critical role in identifying the wine growing regions of tomorrow. [00:01:07] Want to be more connected with the viticulture industry but don't know where to start? Become a member of the Vineyard Team. Get access to the latest science based practices, experts, growers, and wine industry tools through both infield and online education so that you can grow your business. Visit vineyardteam. org and choose grower or business to join the community today. Now let's listen in. [00:01:34] Craig Macmillan: Our guest today is Joel Harms. He's a PhD student in the Department of Bioresources Engineering at McGill University. And today we're going to talk about mapping global future potential for Pinot Noir cultivation under climate uncertainty using generative AI. [00:01:51] Bye. Bye. This is a really interesting topic. I came across an abstract from a recent ASEV meeting and I was like, I just have to know more about this. This just sounds too interesting. But welcome to the podcast, Joel. [00:02:04] Joel Harms: Okay. Thank you very much. Thank you for having me. [00:02:06] Craig Macmillan: What got you interested in this topic in terms of this wine grape region? Stuff. [00:02:12] Joel Harms: I think it was more about I wanted to build models that are useful, I guess, broadly useful in vineyard management and like establishing new vineyards and like kind of covering some of the base problems. Initially, my thought was, how can we. see which grape varieties are alike. [00:02:32] How can we like make a representation of them in like a latent space. But then I found out , if I do that, that's, you know, somewhat useful, but if I take that just a step further, I could just connect it with climate data already. And then we would have a model that could, be used for prediction and it would be so I guess. How do I say like broad or general enough so that you could apply it in any environment. So like any climate can be used to predict any grape suitability matrix, which is quite nice. And so then I thought, no, let's do it. Let's try that. [00:03:11] Craig Macmillan: So your colleagues and yourself did some simulations, as we just mentioned specifically around Pinot Noir and the potential to grow it in different parts of the world that currently are considered too cool. Tell us exactly how you went about this. [00:03:25] Joel Harms: The abstract is kind of a case study on one application of, These models that we built. So we built very general grape variety recommender systems based on climate. And so we wanted to show a cool application globally. This can be applied to find regions that will be too hot in the future. [00:03:43] So we built the AI models first starting from looking at where grapes are grown and tying that together with what climate is there regionally. Unfortunately, you know, we can't use like very precise climate data because we don't have the exact location of each grape variety in each region. [00:04:02] Craig Macmillan: hmm. Yep. [00:04:03] Joel Harms: Yeah. So therefore, we use larger climate data. So like at 50 kilometer resolution, which is still helpful to, I think, gather overall trends, not so much, you know, to plan an individual vineyard probably, but just to see like in which areas maybe there would be. in the future interesting vineyard sites. [00:04:23] Just like kind of as like a pre guidance sort of model. And then we, tested it. We tried to validate this model and then we presented a first case study with Pinot Noir because we were presenting in Oregon at the ASEV conference. So I figured, you know, might as well do Pinot Noir if we're already in Oregon. [00:04:43] Craig Macmillan: Can you explain to me the artificial intelligence piece of this? I mean, you hear about it and you know, kind of what different types of AI do. I don't think a lot of people realize that, you know, that's a very general concept and people have designed particular tools for particular reasons. [00:05:01] So, in this case, what exactly was the AI component? What's inside the box, basically? How does it work? [00:05:07] Joel Harms: First off, I guess to explain for listeners , cause AI does get thrown around a lot and it's hard to know what that actually means. So when we're talking about AI, it's usually we're tying some sort of input data to some sort of output data. And we're teaching a very complicated mathematical function to map one to the other. [00:05:25] So like kind of a correlation. But it's not a simple correlation. That's why we need these models and that's why they're pretty fancy. [00:05:31] So in our case, we're using an AI that was inspired from the community of medical science, where similar models were used to connect, for example, the ECG measurements of a heart with like scans of the heart. [00:05:50] And then Trying to tie both of those datas together and to reconstruct them again to see if, like, you could find correlations between those and maybe if one of them is missing, you could, , predict what it would look like. And so, since this is a very similar problem, , and we have similar input data in the sense of, we have grapes, which grapes are grown where, and we have what is the climate there, roughly. [00:06:13] So we can tie that together and try to connect both of those types of data and then get an output of both of those types of data so that we can go from grapes to climate and climate to grapes in the same model. So we have these , you could say like four models. that are tied together at the center. So input grapes, input climate, then in the center where they get tied together and then output grapes, output climate. And so we train it to, reconstruct it from this combined space where we like, Scrunch it down, which is what the autoencoder does. [00:06:48] Craig Macmillan: So if, if I understand correctly, what we're talking about is , we know that we have the data and we know where wine grapes are grown, different types for different climates. Then we have the climate data in terms of how things may change over time. And then we're creating a prediction of. How those climates change, and then translate that into what we already know about wine grapes. [00:07:09] Joel Harms: Sort of. Yeah. But in our model for training, we just use the existing ones. So historical climate data and historical grape variety data. Once we have that model trained, we just apply it for new climates that come from like other climate models. So we don't do the climate modeling ourselves, but we extract that information and feed that into it and get the grape varieties output. [00:07:31] Craig Macmillan: So you look specifically, at least reported on areas that currently are considered too cold for growing a high quality pinot noir or growing wine grapes in general. What did you find out? What Parts of the world might be the new leading Pinot Noir regions. [00:07:46] Joel Harms: . So that depends a little bit on the exact scenario and how much the climate is supposed to warm. We have like two scenarios is what we looked at. We looked at a 8. 5 scenario and a 2. 6 scenario and going by the 8. 5 scenario, some of the regions that are improving are for example, Western China. And also Southern California, actually, and Quebec, , like Southern California is in Santa Barbara. I guess that's technically Central Coast, [00:08:17] Craig Macmillan: Yeah, well, that's interesting There's a lot of Pinot Noir in Santa Barbara County in the in the coastal zones Any other regions that popped up? [00:08:26] Joel Harms: Yeah, a lot of Australia seems to be doing better and like Northern France, [00:08:31] Craig Macmillan: Yeah pushing it to the north. Did England pop up? [00:08:35] Joel Harms: England, yes, but England seems to like stay the same in compared to historical. So not like as if it's improving, at least like from this, like rough map that we made. What we want to do is do it a bit more finely. The, this prediction, because we currently just used regions where wine is already grown, but then try to like interpolate just for calculation efficiency. Outward. So like our maps are created not only by the model itself, because that would be too calculation intensive. So for the, for the sake of simplicity, we did it like this, but we're still writing the final paper. So, you know, don't invest just yet, wait a little bit and then, [00:09:17] Craig Macmillan: I was gonna bring that up. Where should I put my money? [00:09:19] Joel Harms: Exactly. So don't do that yet. Wait for the final paper and then we will double check everything over. Oh yeah. Arkansas was one that was improving too. Very interestingly. Yeah. [00:09:28] Craig Macmillan: I was kind of surprised because having talked to guests, many guests from, you know, New York, from Texas, from people who consult in the Southwest Northern California, which can get quite warm. What we've talked about is the question of it getting too hot to grow quality wine grapes. [00:09:49] You know, wine grapes will grow to tolerate quite high temperatures. So, for instance, the San Joaquin Valley in California, produces a lot of wine grapes. They're not considered to be very high quality compared to coastal zones. So the vines do great and produce good crops and all of that. So there's concern that areas that have been kind of in the sweet spot, kind of in the, we call it the Goldilocks phenomenon where climate, soil, time, everything just all kind of fits together. [00:10:12] It sounds like this idea would be applicable to predicting what areas might become too warm for high quality wine [00:10:19] Joel Harms: Yes. Yes. It's definitely the case. Yes. And in our maps. You can see both at the same time because it sees like relative change, positive, relative change to, to negative. Some areas that look like they're not going to do so well in the future or less good in the future, even though they're like really good right now is like Oregon, unfortunately. [00:10:39] And the Azores or Northern Spain, even in Eastern Europe, a lot of areas. Seem to be warming up like in Romania at the coast. Not necessarily just the warming up part, but also because we consider 16 different climate variables, it could be the warming up part, but it could also be, you know, like the precipitation changing things like that, you know. [00:10:59] Craig Macmillan: You said 16 variables, we talked, you got temperature, you got precipitation, what, what are some of the others? [00:11:04] Joel Harms: Yeah, we got the growing degree days, the winter index, we got the Huggins index, we have radiation. Diurnal temperature range, the annual average temperature, for the precipitation, we have it like a three different scales, in the harvest month over the growing season and also throughout the whole year same for the temperature. And then we have the, growing indexes [00:11:26] Craig Macmillan: do you have plans to do this kind of thing again? Or publish additional papers from the work you've already done, because I think, it sounds like you've got a lot of interesting findings, [00:11:35] Joel Harms: Oh yeah. Yeah. The results only came in like right before the conference. We're still analyzing everything, writing everything. So the first thing that's coming up is a paper just on , how did we build the model and like all the validations and does it make sense with like expert classifications of how experts classify suitability for grapevines and things like that in the past to see if. That lines up as it should yeah, and then after that we'll publish some of these predictions and what we can learn from these and more detailed than how we did it right now where, most of it's like interpolated because we couldn't predict for every location, so like we predicted for some locations and interpolated. Just for computational efficiency, I guess, but you know, we're, we're getting there. Unfortunately, academia is quite you know, a slow profession. takes a lot of time. [00:12:24] Craig Macmillan: Yes, yes it does. And then getting it published takes a lot of time with reviews and whatnot. And so I just want to put a time stamp on this. This is being recorded in October of 2024. So, Give it some months, at least several, several, several, several. But it's exciting. This stuff's coming out. It'll be in, be in the literature. That's really, really great. [00:12:43] Joel Harms: And soon what we're trying to do is also release like a tool or something that, you know, where people can input their location and we can, our climate data, like call out the climate data and see what, what some of the predictions would be. Yeah. [00:12:57] Craig Macmillan: Oh, that's neat. [00:12:59] Joel Harms: I might've done that for Niner Vineyards just now to see, to see what, what's a suitable there, but only the current ones. [00:13:08] So I mean, it's kind of is exactly what you're growing. [00:13:10] Craig Macmillan: Funny. You should mention that. There is a a website called CalAdapt that allows you to put in some ranges and some variables specific to your location, you put your location in, and then there's a number of different models that you can run. Some are very conservative, some are not in terms of what the predictions are for climate change globally. [00:13:31] And then gives you a nice report on what the average temperature change might be in degrees Fahrenheit or Celsius also takes a stab at precipitation, although I talked to somebody who was connected to that and they said the precipitation is always kind of questionable. And also looks at things like heat waves, how many heat waves days over 100 or days over 95, you might expect because those can be quite fluctuating. [00:13:55] damaging. Even, even though vines can tolerate heat, if they're not acclimated, getting these big stretches of over a hundred, for instance, can be kind of stressful. I did that and kind of looked at it myself and thought, huh, I wonder if we had better, more, um, detailed information, what that might look like. [00:14:12] Another tool that was mentioned that you used was a deep coupled auto incoder networks. What are those? [00:14:18] Joel Harms: So that was what I described earlier, like these component models , where we have a. The encoder and decoder part, the input part is the , encoder and the output part is the decoder. And in the middle of these we have a latent space and then the coupled part means that we're having multiple of these that share their latent space. [00:14:38] So that's , where we're tying them together so that we can input either climate or grapes and get as outputs either climates or grapes. So it's like very, very flexible in that way and so I quite like that. And it turns out it does better than even some more traditional approaches where you just feed in climate and get out grapes like from a neural network or something like that. [00:14:59] Just like a neural network, because we have technically like four neural networks and all of them have three layers. So that's three layers or more. And so that's what makes them deep. [00:15:08] Craig Macmillan: Got it. [00:15:09] Is this your primary work as a PhD student? [00:15:13] Joel Harms: Well, as a PhD student, I'm still working on modeling. But not so much with grapevines, unfortunately. I'm looking at still climate models. How can we adapt for example, now we're looking more at the Caribbean. There's flooding issues. Particularly in Guyana. And so we're trying to, you know, help maybe the government to plan land use better in order to avoid, you know, critical areas being flooded, agricultural land being flooded and these type of things. [00:15:41] So it's more looking at flooding modeling, there's definitely some overlap in that sort of work, it's definitely still like in the area of using data science to help decision making which is the overall theme of this work. [00:15:55] Craig Macmillan: Yeah, and that was something that also came up in my little mini project was the potential for massive storms and also the potential for drought. Which, wasn't part of your work at this stage. Is that something that you would be able to find a way of including in your modeling that might give you some idea of how things might change? [00:16:15] And it's specifically what I'm thinking of is Cyclone Gabriel, I believe it was called, Gabriella just devastated parts of New Zealand. And raised a lot of concern about how, you know, when we were in these coastal zones, we go, Oh, yes, it's mild. It's great. But we're right near the ocean. [00:16:33] Right. And in October between 24, we've seen a very active hurricane season in the Caribbean and on the East coast and the Gulf. Do you think there's potential for this kind of thing to give us more of a heads up about what might be coming our way in terms of massive storm events? Cause that might affect how and what I do. [00:16:52] Joel Harms: I guess this wouldn't depend really on the grape variety itself. That would be more like a citing issue, right? Like where do you plant? [00:16:58] That's what we're looking at now with the like flooding mapping if there is a storm, where does the water collect? Which roads are cut off? Or, I mean, I guess in the case of vineyards, you could look at like, what would be the likely damage would there be now saltwater maybe even if you're depending on where you are. That's definitely something to look at. [00:17:17] All you need is sufficient, like past data points. So you can calibrate your models and then. You know, look at different future scenarios and what will be important to for the future is to look at what's kind of the certainty of these predictions, right? Like, what are your error margins? What's your confidence interval? [00:17:33] Because that might drastically alter your decisions. If it says, oh, it's probably not going to be too bad, but you're very uncertain about that, then you're probably going to take some more precautions than, you know, not because usually now we have A lot of models where their prediction is very, like is deterministic. [00:17:50] So they say, this is how it will be. And it's hard to tell where, you know, where those margins are of error, which is something to look at in the future for sure. [00:18:01] Craig Macmillan: Yeah, that is a challenge in the the model that I did for a Paso Robles vineyard Precipitation didn't really change very much which I was surprised by so it wasn't gonna become like a drought area completely but the potential ranged from five inches of rain a year to 60 inches of rain a year, which is why I was asking about these massive storms. [00:18:21] Maybe our averages, continuous to what we have now, but it may be a bunch of craziness year to year around that. And I think that is interesting and useful to know. So you prepare for it. [00:18:34] Joel Harms: that's something people are looking at, I think cause you can use some models to calculate sort of new climate indices. To see like from daily data train, like new climate indices to see these big storm events and things like that, and maybe incorporate that. That could help, , maybe with that sort of analysis of where even if it's the same average, the index is different because it measures something else. [00:18:59] Yes, I wouldn't know what they're called, but yes, I believe this already exists and is being improved. . [00:19:05] Craig Macmillan: Yeah. Yeah. With your experience so far, what do you see? Because everybody's talking about this. It's like the future in a world of artificial intelligence and this and that. In this particular area where you're, you're tying one set of variables to climate variables and also to historical weather. [00:19:23] In the big picture, beyond just wine grapes, but in the big picture, any topic, where do you see this kind of work going? You touched on it a little bit, when you close your eyes and open your mind what does the future look like? What, kind of tools are we going to have and what kind of things are we going to be able to find out? [00:19:38] Joel Harms: Yeah, that's interesting. I think it, it really depends on the data we have available and it looks like we'll have more and more data available. [00:19:47] So better disease models, location specific disease models to plan spray schedules better and things like that, they seem to be coming. I think I've seen parts of that already from some companies rolling out. [00:20:00] It's all about kind of the creatively using the data that you have available, because a lot of like my data, for example, that I used for this. This isn't necessarily new data, right? This comes from the University of Adelaide who collects where, which grape varieties are grown all over the world. [00:20:17] And then just historical, climate data. It's not very new, but just to put these together in a meaningful way with AI, that's going to be the challenge. And then also to test, is this reliable or not? Because you could theoretically predict almost anything, but then you need to check, is it just correlation? [00:20:39] Am I taking all the important variables into account? And we're developing AI very, very fast. But maybe we need to spend a bit more time, you know, trying to validate it, trying to see how robust it is, which is a major challenge, especially with these complicated models, because, I heard about this example. [00:20:57] Where in the past, for some self driving cars, their AI that recognized stop signs could be tricked if there was a sticker on the stop sign, and it would ignore the stop sign. Even though there's not a big difference, but you can't test for, you know, all of these cases, what might happen. And that's kind of the same for, , what we are doing. [00:21:17] So improving the testing, that would be, I think, a major A major goal to make sure it's robust and reliable or that it tells you how, how certain it is, you know, then at least you can deal with it, you know, and not just make a decision off of that. Yeah, [00:21:29] Craig Macmillan: Yeah. What the level of uncertainty is. That's always the getcha. [00:21:33] Joel Harms: yes, [00:21:34] Craig Macmillan: That's always the hard part. If you had one thing that you would tell growers on this topic, what would it be? Mm [00:21:43] Joel Harms: Specifically for my models, it would be to take the current results with a grain of salt. And then to sort of use this to, narrow down like a selection of grapes and to still run tests and things like that. Cause it's regional data, right? It's not going to tell you exactly what you should grow in your location. [00:22:02] Cause it's, you know, the weather data is based on four to 50 kilometers around you. You know, that's where we're like assembling the data from. [00:22:10] Craig Macmillan: that a 50 kilometer quadrant? [00:22:12] Joel Harms: yes. Yeah. [00:22:13] Craig Macmillan: Yep. Okay. Gotcha. [00:22:14] Joel Harms: Yes, exactly. So this tool is mainly used or useful if you use it to like pre select some varieties so you can see what might be good, you know, and then decide for yourself what you want. [00:22:27] The take home message is like, it's not supposed to take away grape growing experts and things like that, or replace them in any way, but it's supposed to like support it because. There's so many grape varieties and if climate regions or like regions where we're growing grapes are changing, where the climate is changing, we want to get the best choice. [00:22:47] And so we should probably look at all of them, all of our available options and see what we can do. It will narrow it down for you. And then, you know, you'll still have to see what works exactly for you. What wine do you want to produce? I mean, it doesn't take that into account, right? It just gives you what probably would grow well here. [00:23:03] Craig Macmillan: . [00:23:03] Yeah, then I think that there's going to be a future also in bringing in some either hybrid varieties or varieties that are not terribly well known. I've talked to people from Texas and from Michigan Pennsylvania, where the traditional vinifera only varieties don't do pretty well. Terribly well, often because of cold hardiness because of cold winters, they don't handle it, but there's hybrids that do great and make interesting wine. [00:23:27] And I think that would be an interesting thing to include in a model or if it came out kind of like the winner was something we don't normally [00:23:33] Joel Harms: Right. Usually we have a lot of hybrids in this because we have 1, 300 varieties. [00:23:39] Craig Macmillan: wow. Oh, I didn't realize that. [00:23:41] Joel Harms: so I think we have most of the. commercially used grape varieties, like in all aspects. [00:23:48] Craig Macmillan: yeah, probably, probably. [00:23:49] Joel Harms: Yeah. So it's quite, quite far ranging. We only excluded some where it was never more than 1 percent of any region, because then like our model couldn't really learn what this grape variety needs. [00:24:00] Right. Because it's like too small, even in the largest region where it we cut those out. So, cause else we would have 1700. But then like the 1300 that actually get used commercially at a significant scale. Those we have. The model is actually built like we have a suitability index. [00:24:18] But we're still trying to, , fine adjust so that we can rank not just what's popular and like how much will grow. Cause then you'll always get, you know, the top, the top 10 will look very similar for any region. But then through the suitability index, we actually get a lot of these smaller varieties that would fit very well also ranked in the top 10 or in the top 50 of varieties. [00:24:41] Craig Macmillan: They've mentioned fine tuning the model at this point. Is this particular project or this particular model, is this gonna continue on into the future? It sounds you have ideas for improvements. Is this number one gonna continue on into the future and is there gonna come a point when This will be available for the industry, industries internationally to do their own trials. [00:25:03] Joel Harms: Yes, I think so. So I think when we're publishing the paper latest at that point, we'll have the tool set up where people can try it out, put in, in their location. And I guess we're publishing the methodology. So you could build like a version of this yourself. It's not too crazy. Probably code will be published too. [00:25:24] So, you know, you could build this yourself if you wanted to, or you could just use the models we have trained already. Okay. And just apply them to your case. That's what the tool is for. . Right now it's like all code based. So like, it's not, not so easy where you just, drop your pin, like where you're at and then it gives you some predictions, , that's what we're aiming for. [00:25:44] Craig Macmillan: Fantastic. So our guest today has been Joel Harms. He is a PhD student in the Department of Bioresource Engineering at McGill. University. Thanks so much for being on the podcast. This is really fascinating. I'm really looking forward to how this work progresses. And I think it's very eyeopening for us. [00:26:01] Again, you know, one of the things I thought was fascinating is I've had all these conversations about areas that would no longer be suitable, but a flip on it and say, well, areas that might be suitable in the future. I hadn't thought of that. [00:26:12] Joel Harms: Why not? You [00:26:13] Craig Macmillan: why not? You know, that's, that's, that's a very interesting question, and it applies to other crops as well. [00:26:18] I just had never really thought about it like that. You know, maybe you can grow oranges in Iowa at some point. [00:26:23] Joel Harms: That, that would be nice. I guess. [00:26:25] Craig Macmillan: maybe [00:26:26] Joel Harms: maybe see. [00:26:28] Craig Macmillan: we'll see. We'll see. You never know. Anyway, Joel, thanks for being on the podcast. I appreciate it. [00:26:33] Beth Vukmanic: Thank you for listening. Today's podcast was brought to you by Cal West Rain. Since 1989, Cal West Rain has served growers on California's Central Coast and the San Joaquin Valley. As a locally owned, full line irrigation and pump company, they offer design and construction experience in all types of low volume irrigation systems, whether they're for vines, trees, or row crops. [00:27:03] In addition, CalWestRain offers a full range of pumps and pump services, plus expertise in automation systems, filtration systems, electrical service, maintenance and repairs, equipment rental, and a fully stocked parts department. Learn more at CalWestRain. com. [00:27:23] Make sure you check out the show notes for links to Joel, his research articles, plus sustainable wine growing podcast episode 207. Managing Catastrophic Loss in Vineyards, Lessons from Cyclone Gabriel in New Zealand. If you liked this show, do us a big favor by sharing it with a friend, subscribing, and leaving us a review. [00:27:44] You can find all of the podcasts at vineyardteam.org/podcast, and you can reach us at podcast at vineyardteam.org. Until next time, this is Sustainable Wine Growing with the Vineyard Team.   Nearly perfect transcription by Descript

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Support our sponsor this week by using the link below for the exclusive Solomonster offer!EXPRESSVPN - Get an extra three months FREE of the #1 trusted VPN at http://www.expressvpn.com/solomonsterSolomonster reviews AEW Dynamite for December 4th with more action in the Continental Classic, a terrible Battle Royal for a shot at MJF's diamond ring that nobody cares about, the main event for World's End takes shape, Mercedes gets her next challenger for the TBS title and can YOU guess all the TNT champions in AEW history?***Follow Solomonster on Twitter for news and opinion:http://www.twitter.com/solomonsterSubscribe to the Solomonster Sounds Off on YouTube:https://www.youtube.com/user/TheSolomonster?sub_confirmation=1Become a Solomonster Sounds Off Channel Member:https://www.youtube.com/channel/UC9jcg7mk93fGNqWPMfl_Aig/join

In the heart of Albuquerque, Pastor Greg Griego often stood before the fire department and the local jail, sharing his powerful testimony of redemption. Once entangled in the world of gangs in California, he had found a new path through faith, a transformation that resonated with those who listened. He was well-known and well-liked in the community.  Greg Griego. Once a soldier in the 82nd Airborne Division, Greg had led a life marred by drugs and gangs. However, during a stint in jail in California in the early 1990s, he experienced a profound transformation, finding faith and embracing Christianity. This pivotal change set him on a path of redemption, ultimately leading him to serve others. While his wife, Sarah, dedicated herself to homeschooling their ten children in their modest home in the semi-rural South Valley. Greg had five children before he met his wife, Sarah, with whom he had five more. Greg turned their backyard barn into a sanctuary for released prisoners. Most would agree that Greg and Sarah were strict parents. They prohibited their children from playing violent video games and meticulously monitored their television choices. Greg Griego was determined to cultivate a home of hope, love, and healing, but that all ended on January 19, 2013.Join Jen and Cam on this episode of Our True Crime Podcast entitled ‘Something Went Terribly Wrong: Griego Family Murders'Listener Discretion by @OctoberpodVHSAll Music is by our Editor @theinkypawprintThis episode is proudly sponsored by Yaman. Welcome to Yaman the very latest and greatest in J-Beauty innovations Listeners can visit YA-MANUSA.com/discount/TCP for a 20% discountAlso proudly sponsored by sleepcreme.comThe World's Original and Finest CBD Topical for SleepOrder your bottle at sleepcreme.com. Use the code “OTC PODCAST” (all one word) at checkout to save twenty bucks on the first order!https://www.krqe.com/news/albuquerque-metro/new-mexico-supreme-court-upholds-life-imprisonment-for-nehemiah-griego/https://www.upi.com/Top_News/US/2013/01/30/Family-of-teen-killer-question-confession/31021359568995/https://www.krqe.com/news/crime/lawyer-seeks-higher-quality-rehabilitation-for-nehemiah-griego/https://en.wikipedia.org/wiki/2013_South_Valley_homicideshttps://www.researchgate.net/publication/341638987_Nehemiah_Griego_-_Killer_Childhttps://apnews.com/article/politics-new-mexico-supreme-court-albuquerque-child-abuse-fec25ffc0b34e7067728204daa55a000https://abcnews.go.com/US/alleged-mexico-family-killer-nehemiah-griegos-girlfriend-tells/story?id=18290148https://www.youtube.com/watch?v=rmnWdQ3oNGwhttps://www.jacksonville.com/story/news/crime/2013/01/23/sheriff-new-mexico-teen-told-others-plan-kill-his-family/15840419007/https://www.latimes.com/nation/la-xpm-2013-jan-23-la-na-nn-griego-albuquerque-shooting-20130123-story.htmlhttps://people.com/crime/nehemiah-griego-15-fatally-shoots-parents-and-three-siblings-cops/https://www.nbcnews.com/news/us-news/new-mexico-teen-charged-massacre-not-monster-relatives-say-flna1c8089481

Have you ever encountered someone with an unexplainably twisted view of God?This isn't unusual for me. But an outspoken fellow I encountered last week was more accusatory of God than is typical. "That's quite a God," he said sarcastically. "If you don't love me, I'll torture you forever in hell."How do you answer an accusation like this, and perhaps more importantly, what lies behind such anger?Join me for today's Daily Word & Prayer to learn moreScripture Used in Today's MessagePsalm 18:25-26John 14:21Have you read my book, "Takin' it to Their Turf"?If not, you may request a copy on my website, www.TomthePreacher.comWe send a copy to anyone who donates to our ministry, but if you can't do so, simply request a copy by sending us an email. Who do you know that needs to hear today's message? Go ahead and forward this to them, along with a prayer that God will use it in their life.To find Tom on Instagram, Facebook, TiKTok, and elsewhere, go to linktr.ee/tomthepreacher To support Tom Short Campus Ministries, click herehttps://www.tomthepreacher.com/support************ Do you want to have all your sins forgiven and know God personally? *********Check out my video "The Bridge Diagram" at https://www.youtube.com/watch?v=m0Kjwrlind8&t=1sCheck out my website, www.TomthePreacher.com, to learn more about my ministry and sign up for my daily email. And make sure to request a copy of my book, Takin' it to Their Turf, when you visit my website.Check out my videos on this channel to learn how to answer tough questions challenging our faith.

Mark Willard and Ephraim Salaam discuss the Dallas Cowboys and just how terrible they played against the Lions earlier today at home. Mark and Ephraim also react to the very bad look of Nick Sirianni getting booed at home by his fellow Eagle fans and then Sirianni chirping back at them. Plus, the guys go into depth on DeShaun Watson's contract and how to avoid that mess going forward.See omnystudio.com/listener for privacy information.

In this episode of Quah (Q & A), Sal, Adam & Justin coach four Pump Heads via Zoom. Mind Pump Fit Tip: BUILD MUSCLE to drastically improve your health! (1:45) Risk vs. reward when it comes to kids and contact sports. (15:19) Dispelling misinformation on Sal's tattoo. (19:25) Adam at his lowest weight since competing days. (20:42) Educating the audience on the accuracy of body fat tests. (27:55) The Happy Drops from Organifi are CRUSHING! (32:04) A wedding reception gone TERRIBLY wrong. (36:43) That one-time Justin got stuck on a rollercoaster. (37:47) Adam's embarrassing text. (39:08) Highlighting how we misunderstand studies or data. (43:06) Storytelling and teaching lessons. (46:05) How to get 10 clients in 10 days. (50:40) Shout out to Hippy Feet socks! (51:23) #ListenerLive question #1 – What sort of training/conditioning would you suggest aiding with dance lifts? (57:23) #ListenerLive question #2 – Would you have any suggestions on how to program for 75 Hard to finish strong and not be worn out or injured? (1:09:21) #ListenerLive question #3 – How do I work on body parts that are lagging? (1:24:10) #ListenerLive question #4 – I've had a string of injuries, any advice on how to remedy this? (1:37:52) Related Links/Products Mentioned Ask a question to Mind Pump, live! Email: live@mindpumpmedia.com See and hang out with Mind Pump, LIVE! Saturday, June 15 · 1pm PDT Bellagio Las Vegas. Click the link here for more details. Visit Organifi for the exclusive offer for Mind Pump listeners! **Promo code MINDPUMP at checkout for 20% off. May 10-12th, Mother's Day Weekend - Buy 1 Get 1 Free Organifi Harmony Plus Free Shipping ** Exclusively for Mind Pump Listeners, NCI is offering access to their free guide on learning to find, close and retain 10 clients in 10 days.  May Promotion: MAPS Strong | MAPS Powerlift 50% off! ** Code MAY50 at checkout ** Trends in nutrition, lifestyle, and metabolic disease in the United States from 1900 onwards Effects of macronutrient intake in obesity: a meta-analysis of low-carbohydrate and low-fat diets on markers of the metabolic syndrome Strength Of Grip Declines In Young Adults Mind Pump #1877: Obesity, It's Not Your Genetics Guardian Caps: Are the soft-shelled football helmet covers effective at limiting head injuries? Mind Pump #2320: Throw Away The Scale! An 8-Week Randomized, Double-Blind Trial Comparing Efficacy, Safety, and Tolerability of 3 Vilazodone Dose-Initiation Strategies Following Switch From SSRIs and SNRIs in Major Depressive Disorder The wedding menu that put 80 guests in hospital and left more than 100 people vomiting is revealed - as one attendee says men and women were given different food, but all ended up sick Giving Birth Later in Life Linked to Longer Life | TIME Children's Books by Andy Frisella The Very Hungry Caterpillar book hand2mind Numberblocks Friends One to Five Figures, Toy Figures Collectibles, Small Cartoon Figurines for Kids, Mini Action Figures, Character Figures, Play Figure Playsets, Imaginative Play Toys All Hippy Feet Products - American Made & Eco-Friendly Body Brokers | Rotten Tomatoes California fails to track how billions are spent to fight homelessness Visit Seed for an exclusive offer for Mind Pump listeners! **Promo code 25MINDPUMP at checkout for 25% off your first month's supply of Seed's DS-01® Daily Synbiotic** Improve Your Overhead Press & Build Your Shoulders with Unilateral Kettlebell Carries – Mind Pump TV Chaos Band Training: How To, Benefits, Variations - Muscle & Fitness Using The Earthquake Bar | Westside Barbell Mind Pump #2290: Becoming A Better Man With Jason Khalipa Mind Pump #2220: How To Stay Consistent With Your Workouts Ask Mind Pump Mind Pump #2322: Why Your Butt Won't Grow Mind Pump #1872: Eight Benefits Of Lifting With Light Weight Sore muscles…what does it mean? – Mind Pump Blog Mind Pump #2312: Five Steps To Bounce Back From Overtraining MAPS Prime Pro Webinar Mind Pump Podcast – YouTube Mind Pump Free Resources People Mentioned Drew Canole (@drewcanole) Instagram Mark Hyman, M.D. (@drmarkhyman) Instagram Mike Matthews (@muscleforlifefitness) Instagram Andy Frisella (@andyfrisella) Instagram Joe DeFranco (@defrancosgym)  Instagram James Smith (@smittydiesel)  Instagram Jason Khalipa (@jasonkhalipa) Instagram