Podcasts about Maja

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Latest podcast episodes about Maja

Tudatosság Podcast
#145: Edzés

Tudatosság Podcast

Play Episode Listen Later Nov 11, 2022 26:24


Avagy a cápák, ha nem mozognak, elpusztulnak!A testmozgás fontosságáról valószínűleg senkit nem kell meggyőzni, hiszen a csapból folyik az egészségmegőrzésben betöltött szerepe.Hosztjaink életében az edzés alap. Nikolett mindig imádott mozogni, és közvetlenül a balesete után is megtalálta a módját, hogy fejlessze a testét. Vallja, hogy ha jól megy neki az edzés, az élete is jobban hasít. A Tudatosság Podcast aktuális adásában megtudhatjuk, mi az ő testének az útja, és mi vezetett oda, ahol most tart.Mi az Access nézőpontja az edzésről? A téma szorosan kapcsolódik a testhez, ezért sok olyan kérdést tehetünk itt fel, amit mondjuk az étkezés kapcsán is. Gary Douglas mindenkit arra bátorít, hogy kérdezze meg a testét, neki mi működik. Ha az életünk tízmásodperces választások eredménye, és minden folyamatosan változik, miért gondoljuk, hogy ami sportot évek óta űzünk, az ma is jó lehet? Az éberség arra, hogy a testünk mit kíván egy adott napon, egy adott korban, életszakaszban, itt is rengeteget számít. Ha nem akarsz szélmalomharcot vívni, sokadszorra elkedvetlenedve edzőtermet váltani, érdemes bevetni az eszközöket.Szeretnéd tudni, hogy készül Maja egy Nepál trekkingre? Sportos múltjában egyébként jónéhány „egzotikus” gyakorlatot, sporteszközt is kipróbált már – elő a jegyzetfüzetekkel, tedd el az ötleteket és inspirációt, aztán kérdezd meg a tested, hogy melyiknek örülne!Hostjaid:Dienes Maja (@dienesmaja)Erdélyi Nikolett (@nikoletterdelyi)Kövess minket:Facebook: @tudatossagpodcastInstagram: @tudatossagpodcast

Zaprojektuj Swoje Życie
Z klasztoru do świata startupów - Maja Schaefer, ZOWIE

Zaprojektuj Swoje Życie

Play Episode Listen Later Nov 3, 2022 59:39


Projektowanie życia to coś więcej niż rozpisywanie ambitnych planów na kartce papieru. To ciężka praca, szybkie, nie zawsze trafne decyzje, zaangażowanie i szczypta bezczelności.

Tudatosság Podcast
#143: Egy valódi választásnak nincs oka

Tudatosság Podcast

Play Episode Listen Later Oct 28, 2022 32:30


Téged is idegesít, hogy meg kell magyaráznod a választásaidat? Egyáltalán miért van erre szükség?Maja megadja a választ arra, hogy miért fontos az embereknek, ha egy adott helyzetben magyarázatot kapnak a választásaink kapcsán. Sokaknak persze az sem elhanyagolható szempont, hogy saját maguknak meg tudják indokolni, mit miért választanak. Pedig már a szerelemről is azt tartják, nem is szerelem, ha meg lehet magyarázni... Nikolett az elmúlt hónapokban beleszaladt egy olyan történetbe, amiben rengeteget veszített, míg rá nem jött, hogy egyszerűen el kell engedni, ha neki az nem érződik jónak. Ha nagyon belemegyünk a témába, megint csak az energiánál lyukadunk ki – könnyűnek vagy nehéznek érezzük-e valaminek az energiáját? Ha ez alapján hozunk választást a vállalkozásunkban, párkapcsolatainkban, családi életünkben, ezt hogyan lehet megmagyarázni a környezetünknek, magunknak? Mekkora éberség kell ahhoz, hogy átfoglald máshová az eredeti álomnyaralást, csak mert közel az induláshoz már nem érződik könnyűnek a célpont? Akárhogy is, hogy az élet (azaz az energia) idővel mindig igazolja ezeket a döntéseket.Veled előfordult már, hogy többször is kirúgtak egy helyről, aztán mégis mindig visszavettek és ott dolgoztál? Hosztjaink egyikével igen! Tippelj: Maja vagy Nikolett múltjában van-e ez a szórakoztató anekdota? Megtudhatod a Tudatosság Podcast legfrissebb adásából!Hostjaid:Dienes Maja (@dienesmaja)Erdélyi Nikolett (@nikoletterdelyi)Kövess minket:Facebook: @tudatossagpodcastInstagram: @tudatossagpodcastUI: Jelentkezz az INGYENES "Légy megállíthatatlan!" kihívásra, és hangolódj rá arra, hogy milyen az, amikor igazán önmagad vagy és azt érzed, hogy téged senki sem tud megállítani! Katt ide: https://hu.nikolett.com/kihivas/

Ever Wonder? from the California Science Center
...if robots can have personalities? (with Maja Matarić)

Ever Wonder? from the California Science Center

Play Episode Listen Later Oct 26, 2022 29:41


The movie Robot and Frank tells the story of Frank, a grumpy older man who lives alone, until his son shows up at his house with a robot that has been programmed to take care of him. Initially, Frank wants nothing to do with the robot. But over time they start to get along and even become friends. And the robot turns out to be one of the funniest characters in the movie. Do you ever wonder if robots can have personalities?To find out more, we talk to Maja Matarić, a roboticist and a distinguished professor of Computer Science, Neuroscience, and Pediatrics at USC. Her lab makes “socially assistive robots,” which help people do things that are emotionally difficult. And robot personalities are a key part of her work.Have a question you've been wondering about? Send an email to everwonder@californiasciencecenter.org to tell us what you'd like to hear in future episodes.Follow us on Twitter (@casciencecenter), Instagram (@californiasciencecenter), and Facebook (@californiasciencecenter).Support the showSupport the show

Per Our Last Email
Super Keen To Make This Work ft. Emma Maja

Per Our Last Email

Play Episode Listen Later Oct 25, 2022 84:54


Meet Emma Maja — our Australian gal (who joined us at a wildly early hour bc of the time difference!), who's a freelance graphic designer, illustrator, AND dog accessory and apparel designer! Today we're kicking off with another Harry Potter themed cocktail (AKA, a frozen midori sour with a twist called Polyjuice Potion), and Emma dives on in with us over an espresso martini. We got to hear how Emma's product-based business has informed her service-based business, all the things she's learned in and out of freelance, and her journey as a designer — anchored, of course, by some killer stories. Duh. First, we get to hear about the TRUE AUDACITY of a client whose mission was to “empower women” but, well… hint, hint, DIDN'T. They treated her horribly, kept hinting towards ~future work opportunities~ and asked her to lower her already low rates… and you're gonna cringe when you find out how much work Emma did for way too little money. We also hear about a client who reached out via Facebook Messenger and gave Emma ~the ick~ for a project that ended up having a total lack of boundaries… as they sometimes do. We loved having Emma on the show and hearing about everything from her practical advice to the lessons she's learned along the way to the mistakes she's made — and it's a really good one. You know what to do!

Desis.Live Weekly Bollywood Show
Season Three: Review of Goodbye, The King's Jester, Karm Yuddh and Maja Ma

Desis.Live Weekly Bollywood Show

Play Episode Listen Later Oct 16, 2022 36:17


This week we got you 2 movies with big stars, a stand-up show, and a series. We start with #AmitabhBachchan's #Goodbye -about an old man trying to cope with the loss of his wife while giving us Bhagbaan-ish vibes. Sigh to this Indian movie's theme of depicting young people who falter to show filial piety as sorta villains.Then Hasan Minhaj shines in #thekingsjester, and we highly recommend you watch it.#KarmYuddh on @hulu is a thriller with too many plots, and #MadhuriDixit is the end game in #MajaMa which is a story of a housewife coming out on @primevideo.That's it for the week peeps.We will be back next week with more reviews so miss us till then!!Team Desis.Desislive podcast delivers the latest movie and show reviews to your devices. Wherever in the world you are, tune in to desislive.

Tajemnice Kamienic
Tajemnice Kamienic - Mikołów Konstytucji 3 Maja 2

Tajemnice Kamienic

Play Episode Listen Later Oct 15, 2022 6:45


Ten budynek jest zupełnie niepozorny. Kamienica, o której dzisiaj opowiadamy to typowy dom z czerwonej cegły, który nie wyróżnia się w mieście. Jednak historie, które się w nim kryją to ciekawe legendy i ważne wydarzenia historyczne. W ramach Tajemnic Kamienic Dorocie Stabik opowiada je kierownik Miejskiej Placówki Muzealnej w Mikołowie, Wojciech Szwiec. Audycje muzycznie zrealizował Jacek Kurkowski.

Likovni odmevi
Andrej Smrekar: "O Heleni Vurnik pred njenim srečanjem z možem vemo zelo malo."

Likovni odmevi

Play Episode Listen Later Oct 14, 2022 24:08


Minilo je 60 let od smrti in 140 let od rojstva Helene Vurnik, rojene Kottler, avstrijsko-slovenske oblikovalke in slikarke. Dunajčanka z ustrezno likovno izobrazbo je že začela svojo ustvarjalno pot, ko se je leta 1913 poročila z arhitektom Ivanom Vurnikom in se z njim leto pozneje vrnila na Kranjsko. Od tedaj je bila popolnoma odvisna od njegovih naročil. Njeno delo, ki je do tedaj ostajalo v moževi senci, je leta 2017 osvetlila razstava v Narodni galeriji v Ljubljani. Tedaj se je s kustusom razstave dr. Andrejem Smrekarjem pogovarjala Maja Žel-Nolda. Foto: kolaž fotografij, vir: Wikipedia in Narodna galerija

Interviews with Anupama Chopra
"Today I have freedom.." | Madhuri Dixit Interview with Anupama Chopra | Maja Ma | Film Companion

Interviews with Anupama Chopra

Play Episode Listen Later Oct 13, 2022 17:20


Madhuri Dixit Nene talks to Anupama Chopra about the response to her film Maja Ma where she essays the role of a lesbian housewife. The actor talks about the intent behind signing the film and her approach to playing the character. She lets us in on her singing career as well as how she manages her life in the social media glare. Listen to this interview to find out what she is working on next!

NATTEVAGTEN
Hvad er dit forhold til det åndelige? - Med Maja

NATTEVAGTEN

Play Episode Listen Later Oct 13, 2022 120:00


For nylig udkom tredje sæson af Lars Von Triers kultserie: Riget Exodus. Triers serie udspiller sig mellem det videnskabelige og metafysiske. Nærmere bestemt - det åndelige. Det åndelige fylder derfor nattens mørke, når Maja taler med nattens lyttere om, hvad deres forhold er til det åndelige? Mon de har haft kontakt til det hinsides? Lyt med! See omnystudio.com/listener for privacy information.

AIDEA Podkast
Best of Slovenskih podcastov Vol. 1 — Nina Gaspari, Jure Godler, David Urankar, Maja Voje

AIDEA Podkast

Play Episode Listen Later Oct 12, 2022 74:32


Ta epizoda je nekaj drugačnega. Ta epizoda je zbirka 15 do 30-minutnih posnetkov nekaterih najboljših podcasterjev v Sloveniji. Na začetku vsakega posnetka boste slišali uvod gostitelja in kako najdete njegov podcast. V tej epizodi se predstavijo: Nina Gaspari & Lovim Ravnotežje Jure Godler in David Urankar & Gospoda  Maja Voje & Reneseansa Hvala vam ❤️

Curlingklubben
Curlingklubben: Marias madpandekagedag - 11. okt 2022

Curlingklubben

Play Episode Listen Later Oct 11, 2022 40:05


Maria styrer Curlingklubben i dag, og det betyder, at vi skal bruge intet mindre end hele første halvdel af programmet på at snakke om madpandekager. Vi skal høre fra ugens lytter Maja, der arbejder med at sælge madpandekager, vi snakker bl.a. med lytteren Glenn, der laver madpandekager med ostehaps og hakket kød, og så har vi hele TRE folkeskolepraktikanter på en gang, der skal lave madpandekager til Maria. Vi skal også lave demokratiforherligende radio og svare på et par opfølgende spørgsmål om Curlingklubbens overgang til podcast. Vært: Maria Fantino.

DAS GROSSE BELLHEIM - Der Hunde Podcast Talk
#29 - Christine Kläger & Maja Herzbach • Senioren-Hunde - Wenn der Hund alt wird

DAS GROSSE BELLHEIM - Der Hunde Podcast Talk

Play Episode Listen Later Oct 9, 2022 61:50


Ab wann sind Hunde alt? Wie machen wir Senioren-Hunden das Leben leichter? Und uns auch? Und wie ist es, wenn der eigene Hund zum Pflegefall wird? Fragen, die wir in dieser Ausgabe ausführlich klären. Christine Kläger aus Dortmund hat ein besonders großes Herz für die Senioren unter den Hunden. Aus eigener Erfahrung und Interesse, gibt sie ihr Wissen an alle Hundehalter auf ihrer Internetseite senior-hunde.de weiter - und in dieser Bellheim-Folge. Denn: Schneller als gedacht, haben wir einen alten Hund an unserer Seite. Dazu spricht Jan Malte Andresen auch mit seiner alten Freundin und Kollegin Maja Herzbach. Die Radio-Moderatorin aus Schleswig-Holstein weiß, was es bedeutet, wenn der geliebte Hund alt, schwach und zum Pflegefall wird. Wie belastend das Leben für ihre Mops-Hündin Polly inzwischen geworden und wie man als Familie damit umgeht, erzählt Maja voller Wärme und Herzlichkeit in dieser Folge. Und beweist eindrucksvoll, dass Sie trotz allem ihren Humor längst nicht verloren hat. Außerdem: Antworten auf Eure und unsere Fragen von TV-Hundetrainer Marc Lindhorst, dessen Hund „Herr Doktor“ auch schon 12 ist, aber -so sagt Marc- „selbst nicht merkt, wie alt er ist“. --- Send in a voice message: https://anchor.fm/bellheim/message

Tudatosság Podcast
#140: Sebezhetőség a saját szarunkkal

Tudatosság Podcast

Play Episode Listen Later Oct 7, 2022 35:21


Az előző epizód egy „cliffhangerrel” ért véget, és most végre megtudhatjuk, milyen fontos gondolatokat hagytak függőben hosztjaink legutóbb, bár előtte még teszünk egy komolyabb kitérőt a közelmúlt kiemelt happeningje irányába.Megismerhetjük az előzményeket Nikolett életében, ami ahhoz vezetett, hogy Dainnel élőzhessen, és azt is megtudhatjuk, hogy érezte magát Dain ezalatt. A történet remek példa arra, milyen más az, amikor éberségből, lelkesedésből csinálunk valamit. Mi volt a szuper a COP tanfolyamon, a Lehetőségek választásán? És hogy jön ide a sebezhetőség? A dolog ott indul, hogy Nikolett különösen sokat kapott az arcába Daintől a tanfolyamon, persze csak facilitálás képében.A sebezhetőségnek több arca is van. Meg mered mutatni magad, bármilyen élethelyzetben is vagy? Vagy felhúzod a falaidat, és próbálsz másnak látszani, imponálni másoknak? Esetleg magad elől is elrejted, ezáltal szűkíted a saját teredet? El kell ismernünk magunknak még a rejtett szándékainkat is – hiszen ez a tudatosság lényege: ébernek lenni rájuk, felhozni a tudatosba, integrálni. Hogyan lehet ezt könnyedén és áramolva megvalósítani? Milyen területeken sebezhetőek hosztjaink? Maja és Nikolett többek között néhány pénzzel kapcsolatos példán keresztül „tanít”.Hostjaid:Dienes Maja (@dienesmaja)Erdélyi Nikolett (@nikoletterdelyi)Kövess minket:Facebook: @tudatossagpodcastInstagram: @tudatossagpodcastUI: Tarts Nikolettel a Briliáns tagságban és legyél részese az új élménynek a Briliáns PRO-ban! Most bevezető áron lehet csatlakozni. Fedezd fel: https://hu.nikolett.com/brilians-tagsag/

Springdale Golf LIVE
My Name is - #229

Springdale Golf LIVE

Play Episode Listen Later Oct 7, 2022 59:49


The PGA Junior League Championship presented by National Rental Car is taking place at Grayhawk Golf Club in Scottsdale, Arizona. Led by the PGA of America, Jr. League has over 70,000 participants. Each year, 96 of the best players on 12 teams descend upon this event.  Laura Frick is the PGA Professional who coordinates this national championship. Alongside a team from the PGA, they have designed a truly memorable week for the kids. From Michelle Wie-West to incredible gift bags, Laura and her group give these competitors an experience of a lifetime.  Just like the kids, Frick has an awesome family golf story of support. From Ferris State to Frisco, she has been a leader every step of the way. She and Keith cover: The growth of the PGA Junior League since 2011 The format this weekend Her career journey Imposter syndrome  Some terrific on site stories The whole conversation takes place during the first round of competition. She's an amazing ambassador and will inspire you with her passion for the event and this popular program. With Frick and her team at the helm, it's no surprise what a success this tournament has been for the past couple of years.  The Weekly Update: Bryson's long drive, Hubbard gets attacked by the cupboard, Korn Ferry in NJ?, Maja's stark admission and Jordan's superstitions...    ProShow Playlist Ep. #229:  Don't Stop Believin' (Journey), Hit Me with Your Best Shot (Pat Benatar), My Name is (Eminem), Tonight, Tonight (Smashing Pumpkins) 

Anupama Chopra Film Reviews
Maja Ma Movie Review | Madhuri Dixit, Gajraj Rao, Ritwik, Barkha | Anupama Chopra | Film Companion

Anupama Chopra Film Reviews

Play Episode Listen Later Oct 7, 2022 5:41


Maja Ma is a tender, emotionally resonant story of a middle-aged married woman who slowly makes peace with the fact that she is a lesbian. Pallavi Patel played by Madhuri Dixit makes Maja Ma even more striking. To know more about the film, listen to the full review by Anupama Chopra.

Cyber, cyber...
Cyber, Cyber… – 260 – What can we learn from firefighters?

Cyber, cyber...

Play Episode Listen Later Oct 7, 2022 17:06


W dzisiejszym odcinku podkastu Cyber, Cyber…  gościem specjalnym Mirosława Maja jest Jeffrey Carpenter. Rozmowa odbyła się przy okazji konferencji FIRST w lipcu w Dublinie. O przeszłości, ale i przyszłości cyberbezpieczeństwa. Jak wyglądały początki CSIRT-ów? Usłyszycie o budowaniu zdolności do reagowania na incydenty, ale także o tym, od jakich profesji powinni się uczyć eksperci od cyberbezpieczeństwa. Zapraszamy! More

This is Oklahoma
This is Maja Stark - Cowgirl Golf | LPGA | LET

This is Oklahoma

Play Episode Listen Later Oct 7, 2022 39:02


On this episode I chatted with former cowgirl golfer and rockstar Ladies European Tour & LPGA Tour player Maja Stark. Maja is rapidly becoming one of the best golfers in Europe and the world in ladies golf. She has won 5 tournaments her rookie season. She grew up in Sweden and came to Oklahoma State where she won three times as a cowgirl. She was an All-American in her sophomore season and Big 12 Conference Player of the Year. She was a member of the victorious International Team at the 2020 Arnold Palmer Cup and represented Europe at the 2017 Junior Solheim Cup; she also represented Sweden at the 2016 and 2017 European Girls' Team Championships and at the 2018, 2019, 2020 and 2021 European Ladies' Team Championships. Follow Maja on instagram www.instagram.com/majastark1  For more information: https://en.wikipedia.org/wiki/Maja_Stark This episode is presented by the following sponsors. The Oklahoma Hall of Fame at the Gaylord-Pickens Museum telling Oklahoma's story through its people since 1927. For more information on the Oklahoma Hall of Fame go to www.oklahomahof.com and for daily updates go to www.instagram.com/oklahomahof. The Chickasaw Nation is economically strong, culturally vibrant and full of energetic people dedicated to the preservation of family, community and heritage. www.chickasaw.net 988Okla The Oklahoma 988 Mental Health Lifelife. 988 is the direct, three-digit lifeline that connects you with trained behavioral health professionals that can get all Oklahomans the help they need. Learn more by visiting www.988oklahoma.com Bedford Camera & Video use promo code "THISISOK" for 5% off your purchase and shop www.bedfordsokc.com #thisisoklahoma

Skisporet
Sesongpremiere: Frida Karlsson og Maja Dahlqvist om livet utenfor landslaget

Skisporet

Play Episode Listen Later Oct 6, 2022 28:01


Frida Karlsson og Maja Dahlqvist sjokkerte en hel skiverdenen da de takket nei til en plass på det svenske landslaget. Nå er de to godt på vei mot første sesong med eget opplegg. Hva har fungerte bra og hva savner de mest med det å være på landslag? I denne sesongpremieren av Skisporet podcast, snakker Frida Karlsson og Maja Dahlqvist om det å bli verdens beste skiløpere på egen hånd. Hør Maja Dahlqvist fortelle om rekord-sesongen i 21/22, og om den ville OL-festen der hun stjal norske smørehemmeligheter. Frida Karlsson tror ikke hun slipper unna Therese Johaug i fremtiden. Slik er live utenfor landslaget. Skisporten er i endring. Hør hva de to svenskene tenker om diskusjonen rundt privatlag og landslag. Hva tenker Maja om å utfordre langdistanseløperne i fremtiden? Derfor har Frida Karlsson flyttet på seg. Treningstipset: En økt du kan gjøre med venn. Veien til sesongens mål: VM-gull. Skisporet podcast lages av Swix og ledes av Håvard Rønning. Gjennom vinteren skal vi sørge for at du kommer tettest på det som rører seg i skisportens verden. Husk å abonner på kanalen og gi anmeldelse for å få med deg alle episodene denne vinteren. Du kan lese mer om podcasten på Swixsport.com.

Älskade Psykopat
"Mamma ville slänga sig framför tåget och ta livet av oss båda"

Älskade Psykopat

Play Episode Listen Later Oct 3, 2022 38:58


Maja berättar om en mycket sorglig barndom med en mamma som är psykiskt sjuk. Avsnittet handlar dels om hur mamman hamnar i utanförskap och inte får den hjälp som hon behöver. Det handlar också om Majas uppväxt som kantades av hot, psykisk misshandel, nedbrytning och försummelse. Maja berättar och ger sina råd hur man finner kraften att gå vidare trots det förflutna och hon hoppas att genom sin historia kunna hjälpa andra.

Geschichten für Kinder
Anni Rosenlund ODER Herz mit Loch | Ein Reiseabenteuer ab 8 Jahren

Geschichten für Kinder

Play Episode Listen Later Oct 3, 2022 52:21


Der fast 10-jährige Pilou und die 81-jährige Anni Rosenlund treffen sich eines Tages im Park vor Annis Altenheim und der Klinik für angeborene Herzfehler. Pilou hat seit seiner Geburt ein kleines Loch im Herz, das nun geflickt werden soll. Anni musste ins Altenheim, weil sie verrückterweise für verrückt erklärt wurde. Da Anni das Altenheim nicht ausstehen kann und Pilou Angst vor seiner bevorstehenden Herzoperation hat, bleibt nur Eines: Die Flucht! Als dritte im Bunde gesellt sich Maja dazu. (Erzählerin: Sina Reiß, Anni Roselund: Sabine Kastius)

Reportage International
Élections législatives en Lettonie: paroles d'électeurs et de candidats

Reportage International

Play Episode Listen Later Sep 29, 2022 2:26


Samedi 1er octobre, les Lettons éliront un nouveau Parlement et ses 100 députés. Du rapport de force entre les partis élus au Parlement naîtra la prochaine coalition gouvernementale. De notre correspondante à Riga, Le carrefour de la rue de la Liberté est stratégique. Arrêts de bus, ministères, magasins, université. Le passage est incessant. C'est là que quelques-uns des 19 partis en lice ont installé leurs tentes. Airija s'arrête un long moment. Le nouveau Parlement va devoir s'attaquer à son principal problème : l'inflation, l'une des plus hautes en Europe. Avec sa retraite de moins de 400 euros, elle ne sait plus comment faire. « Les prix dépassent l'entendement. Deux euros pour quatre tranches de pain. Désormais, le kilo de fromage blanc est passé à 4 euros. Est-ce que tout ça est normal ? », demande Airija. D'une main, Maja tient celle de son garçon de 6 ans, de l'autre, elle pousse un landau. « J'ai des enfants, leur bien-être me tient à cœur. Ma mère est enseignante et leur travail n'est pas reconnu à leur juste valeur », souligne-t-elle. Après la pandémie et les nombreuses restrictions, les Lettons ont envie qu'on leur parle d'eux. Mais comme le remarque Imants Liegis, ancien ambassadeur et proche du parti progressiste, un autre sujet domine ici : « La question la plus importante en ce moment, c'est la guerre que fait la Russie contre l'Ukraine, donc pour la Lettonie, la défense et la sécurité sont la question numéro un. La menace de la part de la Russie, ça a augmenté depuis le 25 février. » La sécurité au sens large du terme Si le mot sécurité est sur la bouche de tous les candidats, le mot est à comprendre très largement, explique Daniel Pavluts, l'actuel ministre de la Santé et candidat. Il y a tout d'abord la sécurité militaire et intérieure, il ne s'agit pas uniquement de renforcer l'armée, mais aussi la police, les renseignement, la deuxième, la sécurité sociale, comment allons-nous faire pour passer cet hiver et ensuite la sécurité humaine, pour être sûr que personne n'est laissé de côté. Le pays n'est sûr que quand les gens qui y vivent se sentent en sécurité. La question du service militaire obligatoire est déjà en discussion au Parlement. Les députés viennent de voter un paquet d'aides sociales à hauteur de 3% du produit intérieur brut. Les quatre partis de la coalition libérale de droite qui ont tenu ensemble pendant 4 ans, un record en Lettonie, sont bien partis pour se retrouver à nouveau ensemble dans l'hémicycle.

Do the Woo - A WooCommerce Podcast
Stories of Translation, Community and Sustainability with Vachan, Maja and Simon

Do the Woo - A WooCommerce Podcast

Play Episode Listen Later Sep 27, 2022 44:48


Stories of Translation, Community and Sustainability with Vachan, Maja and Simon

Product-Led Podcast
#HowIGotHere with Dave Gerhardt

Product-Led Podcast

Play Episode Listen Later Sep 27, 2022 49:45


Business-to-business transactions occur between businesses instead of between a company and a single client. In this episode, we will learn about B2B marketing, covering concepts, ideas, and suggestions in the area, as well as how Dave got successful in the marketing field. Maja welcomes Dave Gerhardt, founder of B2B marketing media company Exit Five, a former brand officer at Drift, and chief marketing officer at Privy. Dave is here to share knowledge that will help us build a successful company as he did. Are you interested in learning more about the strategies that can help you develop as a startup in the marketing field? Take a moment to listen to this Podcast now! Shownotes [03:56] How did David Gerhardt's experience in working with businesses help him gain a depth of knowledge about marketing? [04:34] Dave recommends launching your marketing-related blog or Podcast to gain additional knowledge and a deeper grasp of the industry. [13:28] If you have the budget to do it, it's an excellent investment if you know how to use it correctly. [15:12] Does producing merch have an impact on your company? [17:39] David Gerhardt shares what excites him most about marketing and brand-building. [18:46] What impact does the audience have on a company's growth? [19:18] Find out what David Gerhardt recommends for audience building for your business. [22:33] Stay tuned and learn for yourself as David Gerhardt presents two demand generation tactics. [25:14] How possible can make companies transition? [28:48] What would happen if you didn't invest money to expand your audience on someone else's platform? [34:56] David Gerhardt covers product-led growth's underrated but effective strategy. [44:31] Learn from David Gerhardt's advice to give you the courage, stamina, and guts to succeed in the product-led business industry! About David Gerhardt He is a former Drift Chief Brand Officer and Privy Chief Marketing Officer who now focuses on consulting and the development of exitfive.com, a network for B2B marketing experts. He also conducts 1:1 counseling with a limited number of high-growth B2B firms; his book Founder Brand was launched in 2022 and quickly became the #1 best-selling Amazon in marketing. About Exit Five Thousands of B2B marketers sign up for the Exit Five Community every day to exchange practical advice, get feedback, and talk about the most successful marketing strategies right now. By listening to the Exit Five podcast, you could enhance your B2B marketing. The host for the event is Dave Gerhardt. Visit exitfive.com to engage with thousands of B2B marketing professionals by joining the community. Profile David Gerhardt on LinkedIn David Gerhardt on Spotify David Gerhardt on Twitter David Gerhardt Amazon Exit Five

Tudatosság Podcast
#138: Falak

Tudatosság Podcast

Play Episode Listen Later Sep 23, 2022 25:08


Ha nincs kizárás, akkor nincsenek falak sem.Falak, páncélok, védelmi rendszer – te is használod őket? Bizonyos helyzetekben jól jönnek, de gondolj csak bele, mennyi mindentől fosztod meg magad, ha állandóan fent vannak a falaid! Hogy működnek a falak? Hosztjaink, a hallgatóktól érkező témafelvetést boncolgatva arra jutnak, hogy falaink összefüggésben vannak mások falaival, és hatással tudunk lenni egymásra ilyen téren is. Az elvárásaink például simán felhúzhatják a másik falait. Hogyan lehetünk éberek arra, hogy akivel dolgunk van, neki le vannak-e engedve a falai? És ha azt látjuk, hogy fent vannak, akkor hogyan tudnánk hozzájárulás lenni ahhoz, hogy leengedje? Itt is kiütközik az a nagy igazság, hogy mi magunk teremtjük a valóságunkat. Ebben a teremtési folyamatban az, hogy mit választunk, hogy falakkal működünk-e vagy sem, meghatározza, milyen lesz a kapcsolatunk a környezetünkkel, és milyen sikerrel tudjuk elérni a céljainkat. Aki rutinos Tudatosság Podcast hallgató, már azt is tudja, hogyan jön ide az energia és a kérdések témaköre. Nikolett egy remek, könnyen megragadható leírást kölcsönöz arról, hogyan függenek össze a falak és a kérdések. Maja pedig elmondja, milyennek látja azokat az embereket, akik falak mögül élik az életüket.Mire jók az Access nagyon gyakorlatias eszkozei, és te miket használsz arra, hogy leengedd a falaidat? Nyerj felismeréseket ebben a témában !Hostjaid:Dienes Maja (@dienesmaja)Erdélyi Nikolett (@nikoletterdelyi)Kövess minket:Facebook: @tudatossagpodcastInstagram: @tudatossagpodcast

The Tea Grannies
Deep Dive into Self Publishing

The Tea Grannies

Play Episode Listen Later Sep 23, 2022 53:15


We're here with a deep dive into self publishing, so pour yourself a cup of tea and let's get started! Don't forget to rate and review us wherever you get your podcasts, and follow us on Instagram @theteagranniespodcast and on Twitter @theteagrannies. We'll see you next time for a chat with indie romance author, Kate McWilliams. Happy writing!Links:ISBNS for Canadians:Library and Archives Canada website (for ISBNs)Cover Designs:The Book Cover Designer (There are tons of designers on this site, so if Maja's designs aren't your style, keep looking!)Book Layout Design:Reedsy Book Editor (free online tool)Vellum (book design software only for Mac)Atticus (alternative to Vellum, for PC, Mac, Linux, and Chromebook)Graphic Design:Canva (online graphic design platform with a free option)Book Brush (online graphic design platform specifically for authors)Marketing:BookBub (a robust book marketing platform) BookSirens (an ARC distribution platform)Reedsy Discovery (an indie book review platform)The StoryGraph (a Goodreads alternative that's not owned by Amazon)Mixtus Media (for tips and tricks and all things indie-author marketing)The Creative Academy for Writers:Join the community! (they have resources and experts on ALL this stuff!)Indie Publishing Resources (checklists, walkthroughs, Q&As, and much more)Contribute to the community ♡ (every little bit helps) Hosted on Acast. See acast.com/privacy for more information.

Zivadiliring
Grosses Jubiläum und Sex am «Burning Man»

Zivadiliring

Play Episode Listen Later Sep 19, 2022 45:55


Gülsha hat den Dust aus Nevada abgeschüttelt und ist zurück im Studio. Das Wiedersehen könnte nicht schöner sein, denn «Zivadiliring» feiert tatsächlich bereits das einjährige Jubiläum! Yvonne, Maja und Gülsha trinken Champagner und sinnieren darüber, wie der Podcast ihr Leben verändert hat.

Tudatosság Podcast
#137: Nincs kizárás

Tudatosság Podcast

Play Episode Listen Later Sep 16, 2022 33:52


Izgalmas címválasztás… de mit jelent ez egyáltalán? Nikolettnek is nehezére esett ezt befogadni, úgyhogy neki is némiképp tisztázó jellegű ez a beszélgetés, de Majának is sok mindent felhoz.Ez az egyik olyan eszköz, amit olyan könnyen félreértelmeznek az emberek, és képesek mások ellen fordítaniA „nincs kizárást” sokan kizárásként élik meg, vagy ellened fordítják, miközben Maja szerint ezt így értelmezni azzal jár, hogy nem élsz a választásod lehetőségével. Valamit nem választani nem feltétlenül jelenti azt, hogy azt kizárjuk az életünkből.Kizárás például, amikor nem vagy kérdésben, amikor eldöntesz valamit, amikor kategorikusan gondolkodsz… Veled is előfordult már, hogy eldöntötted, hogy mondjuk soha többé nem találkozol valakivel? Hogyan különbözik ez attól, hogy azt választod, hogy nem találkozol vele? (És miért nem szerencsés, hogy ott van benne a soha is?) Hogyan tudjuk ezt összekapcsolni az ezt megelőző, a kedvességről szóló epizódokkal? És hogy jön ide a fix nézőpont fogalma?A kizárással az a baj, hogy elzárod magad az adott dologhoz kapcsolódó végtelen lehetőségektől is, úgymond felhúzol egy falat. Mit teremt az a meggyőződés, amivel elzárod magad valamitől? Jól fogsz vajon járni vele? Jót fog teremteni neked? És hogy függ mindez össze az életkorral?Mindig van választás… miért kéne akkor mindig mindent előre eldönteni és beszűkíteni? Ha éber vagy és rugalmas maradsz, folyamatosan választhatsz és folyton új dolgokat teremthetsz. A Tudatosság Podcast adásával újabb felismerésekkel gazdagodhatsz!Hostjaid:Dienes Maja (@dienesmaja)Erdélyi Nikolett (@nikoletterdelyi)Kövess minket:Facebook: @tudatossagpodcastInstagram: @tudatossagpodcast

Historia de Aragón
Luisa Gavasa, la Maja de Fuendetodos

Historia de Aragón

Play Episode Listen Later Sep 16, 2022 7:52


Los conocidos lienzos y la cuna del pintor aragonés se unen para nombrar a Luisa Gavasa como Maja en la sexta edición de la Semana de Goya que se celebra del 16 al 25 de septiembre en Zaragoza y Fuendetodos.

Historia de Aragón
La buena vida de 18h a 19h - 16/09/2022

Historia de Aragón

Play Episode Listen Later Sep 16, 2022 53:48


Conocemos la previsión meteorológica de los próximos días con ayuda de Pedro de la Fuente, buscamos planes en las tres provincias aragonesas para el fin de semana, felicitamos a la actriz aragonesa Luisa Gavasa por su título de Maja de Fuendetodos y exploramos embarcaciones malditas con Alba Miguel de ‘Abismo', el programa de misterio de Aragón Radio.

Tagesgespräch
Maja Riniker, Priska Seiler Graf: Sicherheit versus Demokratie?

Tagesgespräch

Play Episode Listen Later Sep 15, 2022 27:30


Der F35A wird gekauft, auch wenn eine Initiative dagegen hängig ist. Der Krieg in der Ukraine eint die Kräfte, um die Armee zu stärken, auch mit einem grösseren Budget. Welche sicherheitspolitische Strategie verfolgt die Schweiz? Maja Riniker und Priska Seiler Graf sind zu Gast im Tagesgespräch. Es geht um das grösste Rüstungsgeschäft der Schweizer Geschichte: den Kauf der neuen Kampfjets F35A. Bundesrat und Parlament sind sich mehrheitlich darüber einig, dass es der beste und günstigste Flieger ist. Diese Überzeugung ist durch den Ukraine-Krieg noch bestärkt worden, das Parlament hat den Kauf beschlossen, obwohl eine Volksinitiative dazu noch hängig ist. Der Nationalrat ist heute dem Ständerat gefolgt und ermächtigt den Bundesrat, die Kaufverträge bereits bis im März zu unterzeichnen. In der Debatte wurde nicht weniger als der Untergang Armee beschworen, falls der F35A nun nicht sofort gekauft werde. Entgegengehalten wurde die Missachtung der Demokratie, wenn nun ohne Abstimmung die Verträge unterschrieben werden. Stehen die Sicherheit und die Kosten über den demokratischen Rechten? Welche Sicherheit bringen die neuen Kampfjets? Diese Fragen zeigen zwar grundsätzliche Differenzen auf. In der Debatte um Armeebotschaft, die gesamten Armeekredite von zusammengezählt über 9 Milliarden Franken, tritt aber auch eine grosse Geschlossenheit zu Tage – um die Schweizer Armee für die aktuellen und künftigen Herausforderungen zu rüsten. Vor dem Hintergrund des Krieges in der Ukraine haben sich die Positionen auch angenähert. Welche Ausgaben braucht die Schweizer Armee, um ihre Aufgabe erfüllen zu können? Wie sieht eine längerfristige Sicherheitspolitik aus? Priska Seiler Graf, Nationalrätin der Sozialdemokratischen Partei und Maja Riniker, Nationalrätin der FDP sind beide Mitglieder in der Sicherheitspolitischen Kommission des Nationalrates und sind nun die Gäste im Tagesgespräch bei Karoline Arn.

Partnering Leadership
194 The Power of Perception in Leadership with Dr. Maja Zelihic | Partnering Leadership Global Thought Leader

Partnering Leadership

Play Episode Listen Later Sep 15, 2022 45:18 Transcription Available


In this episode of Partnering Leadership, Mahan Tavakoli speaks with Dr. Maja Zelihic, Dean at the Forbes School of Business and Technology at the University of Arizona Global Campus. Dr. Maja Zelihic is coauthor along with Dr. Diane Hamilton of The Power of Perception: Eliminating Boundaries to Create Successful Global Leaders. In this conversation, Dr. Maja Zelihic talks about the power of perception, its influence on the working environment, and perception's role in leadership. Maja Zelihic also shared factors affecting our perceptions and how perception affects our behaviors. Finally, Dr. Maja Zelihic shared practical ideas on how leaders can better account for perceptions to communicate better and lead their teams more effectively. Some highlights:-Maja Zelihic's upbringing, becoming a refugee, and the importance of a healthy support system-How kind words can influence a person's perspective and life journey-Maja Zelihic on why perceptions matter-Critical factors that can impact our perceptions in a corporate setting-What leaders need to do to understand their own perceptions -Maja Zelihic on how empathy plays a role in predicting and understanding perceptions-The impact of hybrid work on perceptions of organizational leaders and colleagues Mentioned:Dr. Maja Zelihic's Tedx talk: Perception is an E.P.I.C. realityDr. Diane Hamilton, Founder and CEO of Tonerra, co-author of The Power of PerceptionLarry Robertson, author of Rebel Leadership  (Listen to Larry Robertson's episode on Partnering Leadership here) Connect with Maja Zelihic:Maja Zelihic WebsiteThe Power of Perception on AmazonMaja Zelihic on TwitterMaja Zelihic on LinkedInConnect with Mahan Tavakoli:https://mahantavakoli.com/https://www.linkedin.com/in/mahan/More information and resources are available at the Partnering Leadership Podcast website:https://www.partneringleadership.com/

Luisterrijk luisterboeken
Satergeschater

Luisterrijk luisterboeken

Play Episode Listen Later Sep 14, 2022 3:00


Het eerste deel van Bavo Dhooge's spannende Bibberboeken reeks. Jerry en Daan zijn goede vrienden en gaan naar de kermis...Uitgegeven door SAGA EgmontSpreker(s): Maja van Honsté

Luisterrijk luisterboeken
Spinnenkiller

Luisterrijk luisterboeken

Play Episode Listen Later Sep 14, 2022 3:00


Tijdens het laatste schoolreisje naar de dierentuin hebben Lisa, Benny en Rob iets te veel fratsen uitgehaald, en daarom moeten ze vandaag - op vrijdag - nablijven...Uitgegeven door SAGA EgmontSpreker(s): Maja van Honsté

Luisterrijk luisterboeken
Slaapslachter

Luisterrijk luisterboeken

Play Episode Listen Later Sep 14, 2022 3:00


Marco wist al dat hij een slaapwandelaar is: soms wordt hij ergens in huis wakker en weet hij niet hoe hij er gekomen is. Hij maakt zich zorgen en is bang...Uitgegeven door SAGA EgmontSpreker(s): Maja van Honsté

Preediction
The Esports Biz Show: Esports Brand Sponsorships with Maja Sand-Grimnitz and Jacob Grandahl Jørgensen of EPOS

Preediction

Play Episode Listen Later Sep 12, 2022 40:03


The Esports Biz Show: Esports attorney Justin M. Jacobson Esq. interviews Maja Sand-Grimnitz and Jacob Grandahl Jørgensen of EPOS on the headset brand's work in the esports and gaming space, including their current partnerships with esports teams and event organizers Learn more about your ad choices. Visit podcastchoices.com/adchoices

Lahkonočnice | Zvočne pravljice, ki bodo vaše malčke zazibale v svet sanj

Miška pozabi zapreti shrambo; njene hruške so zdaj rjave. Gnilo sadje namerava ponoči skrivaj odvreči na zapuščen travnik. Tam pa naleti na druge živali, ki se prav tako hočejo znebiti stare hrane. Pravljica Aksinje Kermauner

Kulturreportaget i P1
Maja Hagerman om minnet – och risken med att glömma

Kulturreportaget i P1

Play Episode Listen Later Sep 8, 2022 15:28


Journalisten och författaren Maja Hagerman har i sina böcker rotat i den svenska historien. Nu är hon aktuell med essäsamlingen "Minnesbrunnen Om helgon, skallmätare och hotet mot demokratin". Programledare: Lisa Wall Producent: Eskil Krogh Larsson

Zivadiliring
Seitensprung mit Büssi

Zivadiliring

Play Episode Listen Later Sep 5, 2022 44:44


Die Comedymänner müssen für einmal ohne ihn: Stefan Büsser talkt mit Yvonne und Maja über Missverständnisse und No-Gos beim Daten. Pünktlich zur nächsten Episode ist Gülsha hoffentlich zurück vom «Burning Man»-Festival.

My Fame Explained
E28: Maja Kuczyńska, Skydiving Champion & Red Bull Athlete

My Fame Explained

Play Episode Listen Later Sep 5, 2022 25:02


Maja Kuczyńska, 22, was introduced to skydiving by her father when she was 10 years-old during a tandem jump with him. Five years later should would go on to become the junior champion in freestyle at the FAI competition in Prague. Participating in both outdoor and indoor tunnel skydiving as a Red Bull athlete, she has amazed a following of over a million on TikTok and 400k on Instagram posting her jump videos. She has lived in many cities around the world including Munich, Paris and Prague. She currently lives in Wroclaw and trains alternately in Wroclaw and Warsaw, Poland where she is originally from. Follow Maja Kuczynska on TikTok and Instagram. Follow the My Fame, Explained podcast on Facebook, Twitter and Instagram.

Tudatosság Podcast
#135: Kedvesség I.

Tudatosság Podcast

Play Episode Listen Later Sep 2, 2022 30:52


A Tudatosság Podcast soron következő adásában hosztjaink a kedvesség különféle megjelenési formáit, arcait járják körül. Maja rögtön felsorolja, milyen kombinációkban létezhet a kedvesség és a kedves energia kettőse. A kedvesség nem mindig kellemes. Milyen érzés az, ha megérezzük, csak látszólag kedves hozzánk valaki? És mi köze ennek ahhoz, amikor fent vannak a falaid, hogy páncélban vagy? Hogyan tudsz kedves lenni, ha azt érzed, hogy a másik egy elvárással közelít feléd? Hogyan kapcsolódik ehhez Nikolett néhány évvel ezelőtti célkitűzése? A kedvesség egyszerre figyelem és energia. Mit tehetsz, ha felismered, hogy nem vagy elég kedves? Nikolett már járt így, és elmondja nekünk a tapasztalatait. Hol vagy benne ebben te? A kedvességet nem csak másokkal, magunkkal szemben is gyakorolni kell. Mondhatni, a gyakorlást kezdhetjük magunkon is. Mást teremt, ha kedves vagy, ha a kedvesség teréből válaszolsz valakinek. Ha viszont nem tudsz onnét reagálni, talán jobban teszed, ha előbb leengeded a falaidat, és visszatérsz a szeretet terébe. Maradj éber, figyelj az energiaáramlásra! Ha meghallgatod az adást, és megtudod, hogy hány és hány tisztítást végezhetünk a kedvesség kapcsán, rájössz, hogy ez nem is annyira egyszerű és klisészerű téma, mint amilyennek elsőre tűnik. Az ezt követő adásban folytatódik a téma, de a hosztok addig is adnak házi feladatot a hallgatóknak. Hiszen a kedvességgel nem csak másokkal, hanem magaddal is jót teszel – érdemes tehát jól csinálni! Hostjaid: Dienes Maja (@dienesmaja) Erdélyi Nikolett (@nikoletterdelyi) Kövess minket: Facebook: @tudatossagpodcast Instagram: @tudatossagpodcast

Mixtape: The Podcast
S1E27: Interview with Kyle Kretschman, head of economics at Spotify

Mixtape: The Podcast

Play Episode Listen Later Aug 31, 2022 71:49


In this week’s episode of The Mixtape with Scott, I had the pleasure of interviewing Kyle Kretschman, Head of Economics at Spotify. It was a great opportunity for me because Kyle is one of the first economists I have spoken to who didn’t enter tech as a senior economist (e.g., John List, Susan Athey, Michael Schwarz, Steve Tadelis). Kyle entered tech straight out of graduate school. He spent much of his career at Amazon, a firm that has more PhD economists than can be easily counted. Under Pat Bajari’s leadership there, Kyle grew and his success was noticed such that he was then hired away by Spotify to lead up their economics team. At the end of the interview, I asked Kyle an economics article that has haunted his memories and he said “BLP”, which is affectionate shorthand that “Automobile Prices in Market Equilibrium” by Berry, Levinsohn and Pakes 1995 Econometrica goes by. I really enjoyed this interview, and despite the less than ideal sound quality at times, I hope you will too.But before I conclude, I wanted to share some more of my thoughts. This series I’ve been doing on “economists in tech”, which has included interviews with John List, Susan Athey, Michael Schwarz and Steve Tadelis, comes from a complex place inside me. First there is the sheer curiosity I have about it as a part of the labor market for PhD economists. As I have said before on here, the tech sector has exploded in the last decade and the demand for PhD economists has grown steadily year over year. Tech demand selects on PhD economists with promising academic style research inclinations. There is substantial positive selection in this market as firms seek out strong candidates can be produce value for them. This is reflected in both junior market salaries, but also senior. Job market candidates are economists with technical skills in econometrics and economic theory, not to mention possess competent computer programming skills in at least one but often several popular coding languages. They are also candidates who were often entertaining careers within academia at the time they entered tech, and in those academic careers, they envisioned themselves writing academic articles about research they found personally and scientifically important and meaningful. Going into tech, therefore, would at least seem to involve choice that may go far beyond merely that of taking one job over another. It may involve a choice between a career in academia and a career outside it, which for many of us can feel permanent, as though we are leaving academia. And for many economists, it may be the first time they have ever contemplated such a thing. If they do internalize the story that way, if they do see taking a job in tech as “leaving academia”, then I can imagine that for at least some economists, that may be complicated, at least. But there’s another reason I have been wanting to talk to economists in tech and that is I am very concerned about the welfare of our PhD students. In a recent article published in the Journal of Economic Literature, economists interviewed graduate students in top economics programs. They found there incredibly high rates of depression, anxiety, loneliness and even suicidality. This is a common feature of graduate studies, but it is interesting that PhD economists have incredibly good employment opportunities and yet the depression and anxiety plague there too. One of the things that struck me in that study was the disconnect between what graduate students felt about their work and what their advisors felt about their own work. Many students, for instance, do not feel they are properly supported by advisers, do not believe their advisers care about their research success and do not even care about them as a person. Whereas most Americans (and faculty) feel that their work has a positive impact on society, only 20% of PhD students in economics feel that way. (I discussed the article as well as my own research on the mental health of PhD students here.) I suppose part of me feels a great sigh of relief to see the labor market for PhD economists expanding in light of those troubling statistics. If students know that life is full of infinite possibilities, then perhaps they can begin to process earlier what they want to do in the short years they have on this small spinning ball of rock we call Earth. If students do not in the end want to become professors, if they do not have the opportunities to become one, they should know that there is no “failure” involved there. Careers are just that — careers. They do not tell us who we are. The sooner a student can detach from the unhelpful story that our value is linked to a vita listing our accomplishments, the sooner they can begin their own life work of choosing their meaning. Can having more labor market opportunities with more employers competing for them help do that? Well no, not really. At least, not exactly. It can disrupt certain equilibrium, but then the new equilibrium can just as easily cover that up too. Still, I do like the idea that to keep students in academia, universities and departments must fight harder for them, pay attention to them, and invest in them as people. I like the idea that students have more options and that the options are diverse. Will it help their depression? Well, that’s another matter, as that’s complex. And presumably the economists in the survey I mentioned were themselves well aware of the career options they had since they were coming from the nation’s top 10 PhD programs in economics. I suppose my point is that ultimately, the burden of life really cannot be resolved with money or career. We are trained to look there because we have boundless appetites. But ultimately the hard work of navigating life can only be helped so much by a job. We must still decide for ourselves what meaning we will choose for ourselves. But one thing I know, and one thing which I think our profession is profoundly bad at saying out loud, is that if we make our identity connected to vitas, we will not just be miserable, we will be hopeless, and probably poisoned. Such a mindset leads to endless laps on a brutalizing treadmill of meaningless performance in which a person chases for first place in a race they don’t remember signing up for and which they cannot win. They compare themselves with others running, not knowing that they too are brutalized by their own treadmill, not realizing that it is impossible to catch up with someone else as there is always someone else ahead of us. The sooner we learn that the joy we long for will not come when we get a top 5, the sooner we can look elsewhere. It has taken me many years to relearn a lesson I learned decades ago — I am whole now. I am complete now. I still run, and I still chase, but I am not chasing completeness. I am not chasing my own wholeness. Being whole and complete has nothing to do with a career. Careers are ultimately orthogonal to hope, which does not mean they do not matter — they absolutely matter. But if asked to deliver meaning, we will find that our jobs are as weak as wet spaghetti at such a task as that.So, I suppose in some ways I simply want to announce — there are incredible opportunities for economists inside government, commerce and academia. But the weight of this life is not likely to be lighter in any one of them, for the weight we feel in life is largely self imposed, inside us, in the stories we tell about who we are and for many of us who we are not. Those stories are real, because we feel them and because we believe them, but they are not true. All stories are wrong, but some are useful, and the story that our lives can only matter if we have certain types of jobs or certain types of success, while it may be useful to getting a paper out or accomplishing something important, in a much bigger sense it is hollow at best and pure poison at worst. TRANSCRIPTThis transcript will be updated once the more complete transcript is finished; for now it was transcribed using voice-to-text machine learning.Kyle Kretschman:Might not have prepared myself well enough to be attractive for some of the most pop most top tier schools. Scott Cunningham:In this week's episode of the mix tape with Scott, I had the pleasure of interviewing Kyle kretchma the head of economics at the streaming platform. Spotify. Before I dive into the interview, though, I wanted to give you a bit of a heads up about the sound quality. Unfortunately, the sound quality in the interview on Kaza side is a bit muffled. We discussed refilming. It tried to find a way to tweak it, but there were certain constraints on the actual sound itself that kept us from being able to do it. And we didn't feel that refilming, it would be good because we thought that the interview had a lot of serendipitous kind of spontaneous tangents and things spoken about that. We thought students and people in academia would want to know, would need maybe even need to know. And I doubted that I could recreate it, cuz I don't even know why it happened. Scott Cunningham:So I'm gonna post a video version of this at my subs, for those who feel that a video version would help them kind of follow it in so far as the audio might be at times challenging. So check out the subst for those of you that wanna watch, watch it instead of just listen to it, hopefully that'll help. I won't say much here by way of introduction, except to say a few things about Kyle, because I wanted to let Kyle tell you his story in his own words, cuz it's his story to tell. And it's an interesting story. Kyle's a PhD economist though from the university of Texas Austin, which is down the road from where I live and work at Baylor, where he wrote on topics in graduate school and applied econometrics, empirical industrial organization or empirical IO and public choice after graduating, Kyle went to Amazon, not academia. Scott Cunningham:In fact, given we might start the boom of tech hiring PhD economists in the early to mid 20 2010s. You could say Kyle maybe was sort of one of the earlier hires among that second wave of PhD economists that went there. He worked for several years at Amazon before being hired away by Spotify to head up and lead a new economics team there, perhaps this is part of a broader trend of tech firms building up more internal teams, not just of data scientists, but like Amazon departments of economists who knows recall though from an earlier interview with Susan athe where, when I asked Susan why she said pat Maja had done something amazing at Amazon, she said he made economists productive. And in time he made many of them productive and very in productive from what I've been able to follow. And Kyle is from what I can gather someone whose skills matured and deepened under the leadership of Papa jar at Amazon and other leaders at and other economists at Amazon. Scott Cunningham:And he was ultimately hunted down by a major tech term to create an economics team there I'm by no means an expert on the labor market for PhD economists. I just have been very intrigued and curious by the, the, the Mar the labor market for PhD economists in tech, because well, partly because of realizing first that cause of inference was really valued in tech, but then to sort of realize that there was just this very large community of economists there, but I don't think it's controversial to say over the last 10 to 15 years, the tech industry really has been disruptive in the labor market for PhD economists. They continue to hire at the junior and senior market in larger and larger volume selecting more and more on people who likely would've gone into academia into tenure track or tenured positions. They pay very high wages, some of the very, some of the highest wages in the country, both at the junior level and especially at the, at the higher end at the, at the more advanced levels, people can earn compensation packages by the, in the, by the time they're in their thirties, that many of us didn't know were possible. Scott Cunningham:It's in my mind, historically novel, and I might be wrong about this, but it, it seems historically novel that the PhD economists who likely would've produced academic research papers in tenured and tenure track jobs have begun to branch out of academia, but maintain those skills and maintain that research output. It's partly driven best. I can tell, buy Amazon, I might be wrong, but by Amazon and paja, as well as Jeff Bezos own view, that economists are what I guess we would just say value added for many firms. Therefore I'm continuing to wanna speak with economists in tech to help better trace out the story. This interview with Kyle follows on the back of earlier interviews with people in tech like John list, you know, a, a distinguished professor of economics at the university of Chicago, but also the former chief economist that Lyft and Uber now Walmart Michael Schwartz, former professor of economics at Harvard. Now, chief economist at Microsoft and Susan athe former chief economist at Microsoft professor at Stanford and now chief economist at the DOJ. I hope you find this to be an interesting dive into the industry. Learn a little bit more about economists there, but by, by learning the about one particular important economist, there a, a young man named Kyle crutch, head of economics at Spotify, my name's Scott Cunningham. And this is the mix tape with Scott. Scott Cunningham:Well, it's my pleasure today to have, as my guest on the mix tape with Scott, Kyle crutch, Kyle, thanks so much for being on the call. Kyle Kretschman:Hey Scott, thanks for having me really appreciate the time to talk Scott Cunningham:Well before we get started with your career and, and everything. I was wondering if you could just tell us your name and your title and where you work. Kyle Kretschman:Sure. Yeah. As you said, I'm Kyle kretchma, I'm the head of economics at Spotify, Scott Cunningham:Head of economics at Spotify. Awesome. Okay. I can't wait to talk. So let me, let me, let's get started. I was wondering if you could just tell me where you grew up. Kyle Kretschman:Sure. So most of the time I grew up in outside of Pittsburgh, Pennsylvania, about an hour north of the city, real real small town probably had one stop light. And maybe the, the funny story that I can share is what I took my wife there. She asked where's the Starbucks. And I said, no Starbucks here. There's no Scott Cunningham:Starbucks. Kyle Kretschman:Yeah. So pretty small town called Chippewa township in Pennsylvania. Scott Cunningham:Oh, okay. Is that near like Amish stuff or anything like that? Kyle Kretschman:No, that's the other side of the state. So this would be Western Pennsylvania about near the end of the turnpike, about five minutes from the Ohio border. Scott Cunningham:Oh, okay. Okay. You said, but you, did you mention, you kind of grew up in different places? Kyle Kretschman:Yeah. So before that, my father worked in civil engineering and so would do build roads and bridges basically across every, across the nation. So I was actually born in Louisiana, lived there with, I think for a whole two, three weeks. I don't quite remember. Cause I was pretty young obviously, but then Michigan and then spent some time in Philadelphia before moving out to Pittsburgh around second grade. Scott Cunningham:Oh, that's kinda like, that's like when people described their parents being in the military, just kind of moving around a lot. Kyle Kretschman:Yeah. A little bit. So, but Scott Cunningham:Then you settled in the second grade Kyle Kretschman:That's right. Yeah. So outside of Pittsburgh and then stayed in Pittsburgh through high school and even through undergrad. Scott Cunningham:Oh, okay. Oh, you went to undergrad in Pennsylvania. Kyle Kretschman:Yeah, I did. So I went to undergrad at the university of Pittsburgh. Oh, okay. It was, yeah. If, I guess maybe continuing the story growing up in a town with no Starbucks. I was, I was pretty intrigued by going to a city. Yeah. And find out that lifestyle and yeah, we might have lived pretty close, like an hour away, but we didn't go down to the city very much. So Pittsburgh was just really, really enticing for a city to, for, to go to undergrad in. And so I basically looked at all schools that were in cities and so the proximity plus then the, the ability to just spread my wings and explore what it's like to be in a city was really, really enticing. Scott Cunningham:Did any of your friends go to pit with you? Kyle Kretschman:Yeah, so there's probably, I grew, I graduated from a class of about a little over 200 people in high school and I think there was like five or six people from high school that went to pit for my class. So definitely had some really good friends who went and kept in touch with, through undergrad. Scott Cunningham:Mm. Yeah. So it wasn't, were you sort of an early generation or you weren't, were you a first generation college student in your family or did your parents go to college Kyle Kretschman:Combination? So my dad went to Penn state civil engineer, as I mentioned, me and my mom actually graduated from undergrad the same week. So my mom went back to school later in life after me, after we went to school. And so yeah, we, we were able to celebrate graduation cuz she went to a small private school right outside of the city also. Scott Cunningham:Oh, okay. Okay. Yeah. Well, so what did you like to do in high school? Kyle Kretschman:So I played a lot of sports before high school and then I kind of switched into, and this was a traditional sports of football, basketball, baseball, but then I switched into tennis in high school. And so that kept me busy, but along with a lot of academics and really, really liked computer science. So played a lot of video games growing up, really enjoyed like that aspect in combination. Scott Cunningham:What games were your, were you, did you play on a, on a video game, plat platform? Like an Nintendo or did you play? Kyle Kretschman:Yeah, no, we played a lot of plays very much into like role playing games. Some of the arcade games like Marvel versus Capcom. So yeah. Yeah. Very, very interested in gaming. Yeah. Maybe I was a little too early for that. Cause you know, every, everybody in the 1990s was like, oh, I could make pu money playing video games, which wasn't true back, which wasn't true back then, but that's right. You know, nowadays Scott Cunningham:You can that's right. Yeah. You know, that's right. You can do it. There's all kinds of ways you can make money doing things today that nobody knew was possible 10, 10 or 15 years ago. Even Kyle Kretschman:My Scott Cunningham:That's cool. Yeah. I, I, it's funny, you know, computer games can keep a, keep a kid in high school going, you know, like especially I think they're kind of misunderstood. I, I had a lot of friends that, well, I mean, I, I, I had, when I didn't have a lot of, we moved from a small town in Mississippi to Memphis and I, those, those that first year when I didn't have a friends, I did bulletin boards and played Sierra online games like Kings quest. And it's like, it's like, you know, not intertemporal smoothing, but like inner temporal socializing, smoothing, you know, so that you just kind of get through some periods that would otherwise be a little lonelier. Kyle Kretschman:Yeah, for sure. And I mean, I mean for this audience, like most video games are some sort of form of constrained optimization. So there was, there was the inkling that I, I liked understanding how economies worked in high school through this and yeah. Going back to my mom, my mom always said like she encouraged it and she encouraged education. And there was actually kind of like that nexus, whenever I took economics in high school, it was like, oh, you know, some of these games really are full economies that are constrained and constrained in a way that you can understand and complete in, you know, under a hundred hours. Right. But there was that combination that was kind of showing itself of computer science, computer gains and economics of putting itself together. Scott Cunningham:So you were kind of thinking even in high school about economics in that kind of like, you know, optimizing something and like, like almost that modern theory that we get in graduate school. Kyle Kretschman:I think more, I had the intuition when I didn't have know how to say what it was in high school because my high school was pretty forward and that it offered both advanced computer science courses that could get you through definitely through first year of undergrad, maybe even through second year with advanced placement. And then they also offered advanced placement economics. And so I, I ended up taking advanced place in economics my junior year when most people took senior year. And so whenever I was going small Scott Cunningham:Town, even in that small town, they had, you had good your high school. Good econ. Kyle Kretschman:Yeah. It was a real, it was a really good high school that would put together good curriculum that did a lot of college preparatory work though. They, wow. They really leaned into the advanced placement, the AP courses to get students ready to go to school. Scott Cunningham:Wow. Wow. So even at, as a junior, you're taking AP econ, you know, you don't have to take AP econ. That kind of is say that, that sounds like somebody that was kind of interested in it. Kyle Kretschman:Yeah, very much. Yeah. And again, as soon as I, I definitely didn't get to the graduate level of understanding, like, you know, LaGrange multipliers, but the, the micro and macro sequence just made intuitive sense to me. It was like, it was kind of where I was like, yeah, this fit. And this is how I think. And some people might criticize me now that I think too much like an economist. Right. Like, but at the same time, it just like, it started to put together that language and even more so some of the frameworks that really kind of drew me into it. Scott Cunningham:Well, did you, did you, did you notice that you had this interest in computer science and this interest in economics and that they might be one, did you get a feeling that they could be in conversation with each other? Kyle Kretschman:Not Scott Cunningham:At first, our ancestors a hundred years ago. Didn't, you know, those economists didn't think that way, but now it's just so natural for this generation of economists to be almost one half, you know, one third mathematician, one third economist, one third computer scientist. Kyle Kretschman:Yeah. So not at first, but I, I feel like I made have like lucked into it, honestly, because whenever I chose to go to Pitt, I chose to start as computer science because I knew what that pass was. I was inspired by my older brother, the great teacher in high school. And like, I was definitely like, okay, a software software development engineer career is great. It's cutting edge. It's there. But after probably like the first year, it just didn't feel that end state didn't feel right. And so I made kind of the hard decision to choose, honestly, to switch into economics as a major, because I wasn't sure what the end state would be, where I was going with it. Cuz it was definitely felt more amorphous, you know, it's a social science, so yeah. It didn't feel like it was gonna be as clear cut and as, and have as much certainty. But pretty quickly, like after a year was like, oh, well we're doing, we're using E views at the time. All right, this is coding. I know how to do this. This is great. Right. And starting, starting to see some of that in undergrad was like the, kind of the aha moment that like, yeah, this is, this is a place where I can apply this love of coding and problem solving, but problems and solutions that I find really, really hard and interesting. Scott Cunningham:It was because of econometrics though. It was in that. Kyle Kretschman:Exactly. Yeah, yeah. Scott Cunningham:Yeah. Wow. That's, that's really interesting because you know, I think it's still the case that, you know, you can easily end up with an econometrics class that remains purely theoretical and doesn't end up, you know, exposing the student with a lot of actual coding, but it sounds like your professors were, were getting you into working with data. Kyle Kretschman:That's correct. Yeah. Both. Both within the class. So like I said, we used E views at the time. Yeah. And again, kind of like learning as a go, I, I don't think I really knew what I was doing whenever we were typing commands and E views, but the computer scientist in me was like, okay, well this is a function. I know functions. Didn't put outputs, but definitely didn't understand necessarily things that were going under the hoods or you know, all of the theory that goes with it. Oh, right, right, right. So it was, you Scott Cunningham:Knew the coding part, you knew you were coding, but you did, but like the, the actual statistical modeling was kind of the new part, but that was a way for you to kind of engage it a little bit. Kyle Kretschman:Yep, exactly. Scott Cunningham:Oh, that's interesting. That's interesting. Well, so what were you gonna have to choose between a computer science and an econ major did or did you end up doing both? Kyle Kretschman:So I chose an econ major, but then I had what I would call basically minors or concentrations in computer science, but then also in statistics and also in math, because once, once I had an internship at a bank and was doing data entry and I was like, eh, I don't think this is what I wanna use my economics degree for. Yeah. I had a couple professors at pit named Steve Houston and Frank Giani who brought me on as a research assistant, an undergrad to start being part of some of like their survey projects and data collection. And even, even one of 'em I don't, Steve was crazy, but he even let me TA classes on undergrad, so oh, wow. But he kinda, I mean, I, I say that jokingly because it was formative for me, it was like, okay, this is great. How do I do more of this? And he was like, well, you go get your econ PhD. And I was like, so I can be a teacher with computer science and doing economics altogether. He goes, yeah, let's do that. And so it was with the help and support of some of these really good professors and education to kind push me on this path consider to get Ancon PhD. Scott Cunningham:Mm. And that's when you were like, so how, how, what, what year would you have been in your program? Kyle Kretschman:Probably. I think I was in my junior year where I was starting to explore this. And then in my senior year is where I was like, okay, I'm actually gonna be doing more more of this and applying to grad school because going back, as I said, I entered with some credits. So my senior year was very, I didn't need a full course load. So I was looking for other things to keep me busy, which maybe, maybe that's one of the themes of this conversation is I kinda kind of like the variety and really have variety seeking behavior too. Yeah, Scott Cunningham:Yeah, yeah. Yeah. So you graduate, was there like a field that you were mostly interested in? Kyle Kretschman:I thought I would be going into macro economics. Macro. Yep. Yeah, because Steve worked on the council of economic advisors and I was really inspired by that and the application of economics within, within policy and just again, always applied economics, not necessarily theoretical. So yeah. Then again was, that would be sort of like labor and macro was like the initial idea, but finally Scott, I didn't do all my homework and like, think about like what grad school looked like or all it looked like. I kind of went a little bit more naive than I think other people with, again, ideas of how I could become like a teacher, an educator with some of these tools versus like how disciplined and single thread you need to be on research to be within an econ PhD program and to see that. Scott Cunningham:So you, so you kind of were like, so when you were thinking about graduate schools, what, how, what, what did you sort of, can you walk me through like what you were thinking and how you went about trying to apply to graduate school and where you ultimately chose? Kyle Kretschman:Yeah, sure. So applied probably the, the top 10 and the top 10 probably said no thanks. But also then was targeting specific schools that we had relationships with that I knew would provide computer science and macros. So university at the Iowa at the time, this was 2000 and had a really strong macro program. And then also at the university of Texas with Dean Corbe there, they also had one in Russ Cooper. And so those were like the two that I was like targeting at outside of what the top schools were. But yeah, as I, I kind of mentioned, I, I might not have prepared myself well enough to be attractive for some of the most pop with top tier schools because kind of, you know, as I said, bounced around and would be yeah, a little bit working on it a little bit different things and have computer science versus being solely focused on like economics and math and things that might be more of what the top tier schools were looking for. Scott Cunningham:Yeah. Yeah. You know, you know, it's like the, I mean, I'm the same way. I didn't ha have any econ classes in college. I was a English major, but the, the, the diff there's so many students that sort of seem to almost for whatever reason, know a lot sooner what they want to do and then like make those choices. And then there's just many of us that are, you know, in a process of search yeah. That when you're in a process of search, well, you, you know, by definition, that's like you're using that time to search. Kyle Kretschman:That's exactly right. As Scott Cunningham:Opposed to saying, I've gotta take, I've gotta become a triple major computer science, math, econ, and have to do like, you know, these set of these set of steps that, you know, there's no way I could even have known to do it unless somebody had told me it's weird. I mean, it's just funny how the little things can have such big repercussions for your whole life, but it's, but it, it worked out great. So you end up, where do you end up going? Kyle Kretschman:I went to the university of Texas at Austin. Scott Cunningham:Yeah. Yeah. What year was that? And Kyle Kretschman:So, so this would've been 2002. Scott Cunningham:Oh, okay. So you go to oh 6 0 7. Kyle Kretschman:Okay. And so ended up working. So I ended up working a lot with Jason, Ava. Yeah. And who came in and became the, the head of the department. Yeah. Applied econometrician who just did an amazing job going back to whenever I said, I didn't know how things worked under the hood, in those formulas. He didn't even let us use those formulas. So anytime we were doing applied econometric econometrics with them, not only we learning to teach, we're learning the theory, but he said, you have to code it yourself. You have to do the matrix algebra, you have to calculate standard errors. You can't really call those functions. So that was probably again, that wasn't until the third year, but yeah, in the first year to go back a little bit, Scott Cunningham:I, that played to your strengths though. I bet that played to your strengths. Yeah. Just at the end of the day, wanting to be someone that, that wrote down the raw code. Kyle Kretschman:That's exactly right. And, but the first year I didn't play my strength. Yeah. Yeah. So the first year I felt, I felt a little bit outta water and I was like, this is, I remember when we were proving what local non association. And I was like, this is, this is one hard, but also like, again, going back to like, that is this actually how I wanna be spending my time and right. I, I was like, yes, I do. But I was like, I, I knew that I needed to get to those applied applications. Yeah. And so that's, again, why I was thankful to be able to work with Jason and Steve Trayo and a few other, they applied econometricians at Texas that really encouraged me to explore starting in the second year. They didn't us like pin it down. And so I, I thought I, at the second year I worked like wrote the first, a paper on school choice and trying to see if I could find some sort of instrument on school selection on public versus private. And again, so that led to like that idea of like applied econometrics was really, really the thing that like, I was like, okay, now this fits again. Once we got into second and third year Scott Cunningham:Was, was picking up that intuition, that kind of like labor style identification, causal inference kind of approach. Was that something you picked up from Jason or was that just like from your labor people? Oh, okay. Kyle Kretschman:Yeah. That's yeah. From Jason and Steve a lot. They did a great job of doing that. And yeah. So then, yeah. Then I, then I threw in, I knew threw a little bit of a switch in there also, and my co-author Nick master and Arti and closest friend and classmate in Texas was very theoretical and very interested in applied empirical IO. And so we started working in that field also together. And so then I got to work with the Han me vet and Ken Hendrix on using empirical IO. So, oh, wow. Yeah. And so again, Scott Cunningham:This is the more structural, more structural econometric. So you've got this like reduced, you've kind of got this like traditional labor reduced form type of, part of your brain. And then you've got this empirical IO structural part of your brain kind of emerging at the same time. Kyle Kretschman:That's right. That's exactly right. Yeah. And then we threw, we threw everybody for a loop. I also saying we wanted to study study politics and how money turns into vote using both using all these tools. So yeah, I can see here kind of saying in hindsight, like it all makes sense in this story that I'm telling you, but at the time it was more of what you were talking about. It was searching. It was, I wanna be working on really interesting applied problems. I love the toolkit that economics provides in framing. And yeah. I have to be coding to be able to utilize these tools that I've had built up in the past. Scott Cunningham:Yeah, yeah. Yeah. So, so matching with Nick was really important Kyle Kretschman:Very much. Scott Cunningham:And why, if you hadn't to match with Nick, I mean, just kind of outta curiosity, if you could articulate the value added of that whole partnership, what was it? Kyle Kretschman:Yes. Sure. So, so we matched basically from math camp going into, going into the first year because Nick came both from the pure math and physics background and also had some experience in the air force. So the air force was sending him to Texas and he, we were, we were definitely, we definitely didn't have a lot of vend overlap on the fact. He's like, well, I would have the intuition and some of the computer skills, Nick would have the theoretical math skills, Scott Cunningham:The theoretical math skills. Yep. Kyle Kretschman:And then we just had, we had the common factor that we wanted to work hard together and learn together and we're willing to, we're willing to intellectually hash out really tough things together. Yeah. So yeah, he huge credit to him through being able to put up with me. And he says, he says the same thing once in a while. But again, matching with somebody that had the, the more real analysis proof based understanding of math was so valuable for me. And especially, Scott Cunningham:I think some empirical IO, especially empirical IO, just being able to, you know, think like an economist in the area of IO is thinking real deep about, you know, a rich set of models and modeling approaches. Kyle Kretschman:That's Scott Cunningham:Exactly right. That's definitely not what you're learning in your econometrics classes, even though they might go together. Kyle Kretschman:Yep. So, so yeah, it was just a, it was a really good match from the beginning. And so we complimented each other and we're, we're able to build a strong enough relationship to be able to be able to hash out, have really long nights yelling at each other, we say in the office, but it never, it was always for educational purposes and lifting each other up. Scott Cunningham:Was that different than what you thought grad school was gonna be like? Kyle Kretschman:Yeah. So I knew the research component a little bit. I just didn't under understand the unstructured research on how that was gonna go and like the cadence and where it was gonna and how that was gonna be so required to develop your own viewpoint. Yeah. I thought it would be more directed cuz as a 22 year old, that was the experience I had generally. So that was the big one was the undirected and I liked it, but it was also very difficult. Scott Cunningham:How would you describe what you're talking about to your college self? Who kind of like, you know, he, he doesn't really, he doesn't even have the vocabulary for what you're describing. What would you say? It was like, Kyle Kretschman:I think you use a good term. You have to be not only wanting to search, you have to be willing to search, but you also, then you have to put in the guardrails yourself to keep it focused because you're not necessarily gonna have those external guardrails that you will have from an alternative path of going to either like a master's program that's gonna be more structured or going in an industry or going to get a job. Right. Like I mentioned at a bank for like a 22 year old where entry level jobs are gonna be more structured. Yeah. So yeah, I just, I, I probably knew it, but I didn't know what it meant to be and what, what it meant to experience it. Scott Cunningham:So how did Jason and, and Steve kind of, and any other faculty, how, how did they, how did they, I, so I did this interview with Susan athe and she was saying that, you know, the amazing thing that pat Maja did at Amazon was he managed to make economists productive, which kind it was kind of a weird, weird way of saying it. And so in a way it could, in a way you could imagine a department that sort of has like a, you know, this idea of like research has got to come. There's like a, there's like a, a journey that a graduate student has to come on to just to basically make a decision to be a researcher. Yeah. You know, and you could imagine that creating the conditions for that is, is involves faculty member, doing stuff that's not necessarily obvious. What, how did they, how do you think they contributed to that for you personally? Kyle Kretschman:For me personally, at the time, again, it goes back to encourage the exploration versus mandating or saying that I need to be on one path. So like even Nick and I at the time explore the idea of a private company and how, what, what that would be into like pinching, pitching a venture capitalist on, on that. So all those things, again, in grad school, they, they were encouraged, but they weren't structured at the time. Yeah. So yeah, I can, I can, I understand Susan's comment because I was, I was one of those economists who started pretty early with pat and we, we have a lot of good mechanisms that we've learned and built at Amazon when I was there at the time through pat, through lay other people who were willing to make the jump into this entrepreneurial space that hit the election and the, of coalesce of economists doing open book, empirical research, along with data science. Right. Just becoming more and more valuable and applicable, but is kind of what Susan piloting that we can, we can talk more about if you Scott Cunningham:Want. Yeah. I do wanna talk about that. I wanna talk about the, the decision though, you know, to, to be, because you, you sort of started off in college, you know, you said things like, oh, you can become an educator and then you've gone in this non-academic direction and you know, it, it, and that's like a, that's a more common story now, you know, right. Of, of top talent, very talented PhDs that you could have easily seen 20 years ago, would've been an academia. Their counterfactuals are, are following you. And so, you know, it's, it's a, it's a big part of our, you know, collective story as economists that this, this new labor market that didn't, that didn't exist historically now exists and draws in so much talent. And I was just curious in a way you're kind of like a, a first generation person like that, you know, when you think about it, right. Cause text's not very old, right. Facebook, Facebook, what it's like 2007. And so, you know, so you've got this, you, you, you've got this, this chance to kind of say like, it must have been, so I don't wanna put words in your mouth, but I guess I was just wondering, what were the feelings like as you considered not taking an academic track and when did it start to be something in your mind that you thought that's gonna be something I'm explore Kyle Kretschman:Probably pretty early, because if you wanna really trace the roots of like tech economists back, it starts obviously with Hal varying at Google and me and Nick, actually, we, we sent an email to Hal, probably 2008 saying, do you have any, have any use for some summer interns who can do some empirical IO? And he said, no, not, not at this time, but so, but he Scott Cunningham:Answered the email. Kyle Kretschman:He did answer the email. Yeah. It was nice, nice of him to answer. Cause we knew he was probably pretty busy, but so it, honestly, when Amazon started hiring economists, I was probably searching for about a year to move into tech. If you wanna move back to the decision point coming outta grad school, honestly it was a challenging labor or a challenging job market for me, somebody who is a lover variety, who is working on empirical IO problems with campaign, policy, campaign, finance reform, policy recognition. That's, that's not fitting a lot of the standard application process. Yeah. Once again, that's so that's probably a theme for me. And again, at the time it was hard. I was, I was in the running for jobs at VA wakes force that I thought would be really good fit because they're the EDU the emphasis would be on education with the research ability to do research and work on problems that were more widely probably policy oriented. Yeah. But neither neither of them came through. So I just always knew that I industry was gonna be an option. And so Scott Cunningham:What year is this? What, Kyle Kretschman:What, what this would've been in this would've been in Scott Cunningham:20 11, 20 11. Okay. Oh, so you moved through the, you moved through the program or kind of relatively quickly. Oh 7, 4, 4, 5 years. Okay. Kyle Kretschman:Five years. Yeah. Five years. Yeah. Oh six to 11. Okay. But so for about a year, about six. Yeah. Yeah. And so starting in 2013 is whenever I started applying to the first tech job as a data scientist and got it went great until I talked to the VP who was a business part, like pure business person. When I was talking to the hiring manager at the time, it was a company who was providing college counseling as a software service. And so they would do this at their, their clients were both for profit and not for profit companies. And we were talking like, we'd get into details about treatment effects models and how we could measure the impact of their intervention. It went great. But then I had the flyout scheduled, but then the interview with the VP, he said, well, how am I gonna monetize your algorithm? Right. And I was like, I'm not sure I know what algorithm means, but right. I, I wasn't prepared for that language and that application and how you turn econometric modeling and measurement into, into business impact at the time. Yes. Right. So spent another year looking around with different opportunities like that and honestly learning again. So, so whenever Amazon, so this would've been in 2014 and then Amazon was hiring its first big cohort with pat. So this was a cohort that was about, I think there was about 13 of us. It was a no brainer. Kyle Kretschman:Whenever, whenever we did the interview, it just was like, all right, this is exactly right for me. I was hop. I was hoping it was right on the other side. And I could probably tell you some funny stories about the interview process, but I was like, this is, this is what's meant to be. Yeah. So it, it, it was like a 10 year journey from 2004 when I switched outta computer science into 2014 being like this, just this fit. Scott Cunningham:Right. Right. Right. So outta curiosity, you know, is, is there, is there something that you think is supposed to be learned by the fact that when you were on the job market and you had that interview with that, that gig and the, and you get to the VP and he articulates questions that are not traditional econ questions, or even econometrics questions like business profitability to act, it's kind of ironic, isn't it like to everybody? That's not an economist. That's actually what we, they think we do, you know, is like, they think we do all that stuff. And then they don't know that we're like, like you said, you know, trying to set up a Lara and solve, solve it, like what's a Lara, but do you think your competition at that time did know how to answer questions like that? Like non-economists in those positions Kyle Kretschman:Probably at an inflection point. Yeah. Because this is the same time. Wherever machine learning is becoming more common toolkit with an industry. So there would be like machine learning algorithms that are designed for, you know, prediction, problem sequencing, anything like that that are specifically designed to be used in a business setting to monitor. Scott Cunningham:So they, they not only know machine learning, it's like, they also can kind of immediately articulate why this would be profitable. Kyle Kretschman:I think so. Yeah, because again, the computer, so it's like in learning the language and this is the language that would probably be more understood within a machine learning computer science version is okay, well, I'm gonna use this to change the recommendation engine right. Is very common one. Yeah. That's obviously gonna be, so how are you gonna monetize it? I'm gonna improve the match and the recommendation engine it's gonna have this. So I think at the time there was a little bit of it, but, you know, hopefully I think, I think I learned pretty quick that you can, you can use econometrics in a similar vein. As I said, it's a flavor of data science, Scott Cunningham:Have you had to become a blue collar machine learner? Kyle Kretschman:I've had to understand it, but not, I think you mean by blue collar, you mean like implementing it Scott Cunningham:And yeah, I just, when I, I usually say blue collar in the sense of like, you know, you, don't like, you know, you basically are picking up these skills, but you weren't like, you know, you didn't get a PhD in computer science. You know, Kyle Kretschman:The answer was then that answer is definitely yes. So like as we, as our cohort and as we grew, the economics discipline at Amazon, that was a big part of it is how one could we bring in some machine learning scientist help educate and teach us. Mm. And yeah. So, and even in, sometimes in lecture style, we would do that because it was so important, but then even more so learning to so that you can interact with different stakeholders specifically, like machine learning scientists. Mm. Then understanding when you can actually implement it and marry it within the econometric models was definitely a huge part of the education process. Scott Cunningham:So you go to Amazon, is that right? That's like your first entry into tech Kyle Kretschman:That's Scott Cunningham:Right. Is Amazon, what's your title? Kyle Kretschman:So Scott Scott Cunningham:A scientist or economist. Kyle Kretschman:I, it was something like business intelligence engineer. There wasn't an economist job family. There was, as you said, it was kinda the forefront. I think it was this. Yeah. I think that's what it was, but Scott Cunningham:Cause it is now right. Baja has a that's Kyle Kretschman:Right. Scott Cunningham:He created a job title called economist. Kyle Kretschman:That's right. Yeah. And that got set up about a year in, so like, and I was part of the group. So we would set these, we would set up like these people and process mechanisms that allow economists to be so influential and productive within Amazon. Scott Cunningham:Mm, okay. So how is he doing it? Why, why is Susan saying he performed a miracle by making economist productive? Can you kind of describe, like, if you had to just guess at like the counterfactual, if it hadn't been, you know, pat, it hadn't even been an economist that was hired into Pat's position. Like, what is it that he, what, what is it that he, or Amazon or whatever is making you go transform and become this new version of yourself? Kyle Kretschman:There's, there's a lot of factors and I could probably spend an hour on this, but I'll, I'll try to, I'll try to reduce it down to like some key mechanisms and ideas. The first is that Amazon is probably the most data driven company. I know. Mm. They are so focused on measurement, both of things you can directly measure. And, but they are. So they were very early interested in economic measurements that are UN observables either coming from like coming from econometric models. That, that was whenever pat demonstrated some of those that was like the light bulb went off the, so, because again, it, Amazon was run by and still generally is people with operation science background. And so this over index on measuring as, as coly and as precisely as possible, well that's that's economics. So that, that was part of it. Another part of it is culturally Amazon operates that makes decisions based on six page white papers, you wanna make some economists really productive, have them write a six page white paper instead of giving them a presentation, especially to people like who may be in the background with MBAs or other people who have a comparative advantage, we economists have a care advantage in writing. Kyle Kretschman:So it was little bit of like a surprise, but you might hear these anecdotes where it's true. Like whenever you go into a, a decision making meeting, you come in with your six page white paper that says here's the business decision to be made here is my recommendation. And here's why, and people sit there and it can be a room for five people can be a room of 25 executives. They sit and read the paper and they read the whole thing. Is there an append that can go on forever depending on how big the meeting is. Sure. But that structure of, of data driven decision making, combined with how you're presenting your argument is written seems like, seems like economists should be pretty good at that. Right? Scott Cunningham:Is that a pat thing? He came up with work, the work he made, Kyle Kretschman:What was the six page idea was from Jeff Bezos. And so that was, would Scott Cunningham:Those be circulated throughout the, throughout the, the, the firm, Kyle Kretschman:The stakeholders who needed to be part of the decision making they be circulated. But again, this is every, like everybody's writing six pages. PowerPoint is basically outlawed at, at Amazon. And again, that happened mid 2000. Sometimes people can Google it to find out, but that six page culture and decision making culture, just again, fit economists. Scott Cunningham:So how is a six page paper similar to the kinds of writing that, you know, you sort of associate with economists and how is it different? Kyle Kretschman:So its I'll start with the differences. So one with the six page versus like a 30 page academic, you are not going to be able to share the research process. You are not supposed to share the research process. You're supposed to share the clear recommendation and how you got to that recommendation. Right? So if you think about like a 30 page academic paper XT, be condensed down into those six pages. In my view, they're just, that's just not how the industry operates, but you probably would know better than me on that where, but so again, where it's the same is again, it's a data driven argument. The purpose of this paper, the abstract here is the hypothesis that I have that and here's how I tested it. And here's how I'm making my conclusion. So what I always found really honestly easy was I felt like I was doing the scientific process. Like I felt I, I was with business decision making it generally work within what is the hypothesis? How are we doing this? How are we testing it? What are we think some alternative conclusions could be, but what are we making towards it? So yeah, yeah. Again, it was closer to what I felt like would be a scientific paper in and that hold of day driven mindset is again, that's more, it's very common. Amazon have a common Spotify now Scott Cunningham:Has that been influential throughout, throughout industry? Has that, how have you noticed Amazon influencing Kyle Kretschman:Some Scott Cunningham:Yeah. Like most people don't understand. Kyle Kretschman:Yeah. There there's some companies who definitely have completely adopted it. There's some companies who haven't, but the, the six pager again, that's, this is not a, this isn't a concept just to economist and tech. This is the concept is, is held up as one of the key mechanisms for all of Amazon. Scott Cunningham:Mm mm Hmm. Kyle Kretschman:One other. Scott Cunningham:How often were you writing those? Kyle Kretschman:Depends on what level you were farther in my career. That's the only thing I did was write six page papers and it would be part of like, my team would help, but again, anytime you have a key business decision to be made or an update, like you're gonna be writing the six page. So yeah, it's again, the farther, the more seniority you have though, the more that becomes your job is to communicate side and guide through these business decisions. Scott Cunningham:Do they, to you, Kyle Kretschman:They belong to the team because it's always Scott Cunningham:Put 'em on a, you can't they're like proprietary though to Amazon. Kyle Kretschman:Oh, correct. Yeah. No, they, they're not publicly available. They're Scott Cunningham:Proprietary. Like it must is it what's that feel like to do something? What's it, what's it feel like to, to do something that creative in that kind of like scientific that's siloed within the firm? Does that feel strange? Kyle Kretschman:No, it didn't. Because what it enables is to be able to work on some of the hardest questions without having to worry about without having to worry about com communication strategies or right. For press release. So no, it felt like we were able, and this is going back to like some of the things that pat and we did at Amazon make successful. We worked on some of the hardest problems at Amazon from a very early stage because we said that it wouldn't be publicly available. Right. So that's gonna do that. And Scott Cunningham:That's been a key part. Yeah. Because okay. I get it. Okay. That, that makes a lot of sense. Yeah. So who did you discover? You were, go ahead. Sorry, Kyle. Kyle Kretschman:No, I was gonna say maybe the last me to highlight. Cause again, I, I, we could probably spend this whole interview on this, but the, the other key mechanism that pat pioneered was the proliferation of economists as a job family was not pat saying and us saying, go do this. And I can give through my own personal example. It was the other business executives, seeing the measurement, seeing the results on product, just saying, okay, I want that. So it really was a demand, AKA demand, internal demand for more economists, that was gonna say, I want this with my business decision making process and want these people who can do this and collaborate across the difference. It was not a, oh, we're gonna put economist in the siloed function that everybody's gonna come here. And that was, that was my story. But the very first year I worked on projects directly for the consumer CFO, basically the whole year. It wasn't necessarily by design, but it was what happened. And at the end of the year, year and a half, the, the VP of finance said, come over here and do this with me and come build, come build an economics team and an economics function here within my organization. And that's really is again, that's the real key was it was business decision makers, demanding the ability to understand this and demanding the skill set, just like they would data science, machine learning because of demonstrated value. Scott Cunningham:What were they witnessing with their own eyes that was so compelling that they would Inc that it would increase demand. Kyle Kretschman:So both I'll call it like ad hoc economic analysis on maybe big strategy projects, but also then the introduction of econometric systems into product. Scott Cunningham:Mm. What does that mean? Introduction of econometric systems into products. Kyle Kretschman:So say you have a product that is gonna, let's go back to the recommended system. And I use that again as an abstract, but within there you might make a change to it and you might make a change with the recommender system. That's gonna cause a treatment effect. Right. So, okay. So we can do that one off to estimate that, but you could also then build an economic system. That's gonna measure those treatment effects and changes like an AB platform or things like that. So maybe people might be more common and familiar with like experimental platforms. This would also be then econom. This would be sub out the AB part of it and sub in an economic model, that's going to be doing always on measurement sometimes at a, you know, service level. So sometimes within like individual pages, sometimes it's gonna be at a monthly level, but the integration of econometric models into the product. Scott Cunningham:Right, right. Wow. So how are you a different economist because of that experience at Amazon, if you had to guess, what was it the treatment effect? Kyle Kretschman:Oh, it mean it was, it was incredibly formative because it to tie like it put the fit together with the application to where I could understand and really to where it is, my job is to take a business question, turn it into a scientific process that can be solved with econometrics. And then also be thinking about, is this a problem that needs a scalable solution? Right. So, so Amazon taught me business integration taught me so many different languages, taught me leadership and management taught me how to work with stakeholders in collaborative ways, but then even more so how to deliver the value through econometric measurement, both again, as I said, not only, not only just in ad hoc research papers or one off analysis, but also then where does this fit directly within the products that we build in tech? Scott Cunningham:Yeah. So where'd you go, seems like people don't stay very long in tech. That's like normal. Whereas like, is, is that right? People kind of like, it, it's less normal to stay your whole career at Amazon unless is that wrong or, Kyle Kretschman:I mean, it's got it still do. So it's probably tough to say that because really the, the field started, like you said, really proliferated in 2012. So I stayed at Amazon for six years and I thought I'd be staying even longer. But Spotify came with the opportunity to one work on something I care very deeply about, which is the music industry. I'm a huge music fan. They also came with the idea to build again. So, you know, that was the part that really enticed me was Spotify did not have any PhD economists who were in an and, and economist roles. They had like one in a data science role, but they didn't have the structured economic discipline that they were seeing that Amazon was proliferating. And also then going into like Uber, Airbnb and the other tech companies. And so they said, can you build again? Kyle Kretschman:And I said, yeah, I'm, I'm excited to build. And then last one, all these there's definitely personal considerations here too. And Spotify just really did a great job showing how the company as a whole has Swedish cultures and values. And at the time I had a nine month old and they said, this is a great place to come be a father with the balance and that, and I said, all right, let's make the jump and come to Spotify. And so now I've been here about two years. So cuz I, I actually went to Spotify in may of 2020. Scott Cunningham:So remind me again, your job title at Spotify. Kyle Kretschman:So I'm head of economics. Scott Cunningham:Is, is that the, is that, is that like chief economist? I, I feel like I see different, different job titles and I don't know exactly what, what everything, Kyle Kretschman:Yeah. It, it it's on the path to it. So I'm, I'm the highest ranking PhD economist at Spotify. Scott Cunningham:I see. Okay. I've been there for two years. Okay, go ahead. Sorry. Kyle Kretschman:Yeah. Cause again, that's what I was brought into build was to build, like we did at Amazon was overall integration of PhD economists within the different business units. Scott Cunningham:So this is the part I'm, I'm having some hard time, like, you know, putting, visualizing or putting in my own words. What exactly will it look like if you have been successful in five years at that goal and what would it look like if you had been a complete, complete bust? What are the two things that are like empirical that I would be able to, to observe? Kyle Kretschman:Yeah. A complete bust is probably that an economics discipline is not, is not part of Spotify and there's not, there's not a job family. So a complete bus would've been, I, I moved to Spotify, an economics discipline. I either in, or I'm working data science job, what success looks like is actually what we put first from a, so I'll talk about the people in process, discipline success. We, I came into was Scott Cunningham:Real quick. So Kyle Kretschman:Foundation on basically. Yeah. Scott Cunningham:So, so failure actually would mean that the economist community within Spotify just never materialized, is that what you're saying? And that, and that means like this, having groups of economists that, that think and use the kinds of training we had in graduate school, but in a way that is actually productive in the firm is, is that, is that right? Kyle Kretschman:So, so yeah, and again, that's, Scott Cunningham:The job is successful if you're able to actually create internal demand for economists. Kyle Kretschman:Yep. That's right. And that's, that's what I would say against from the process side. And then from the product side, that's using econometric research in the ways that I've been talking about it's using it both not only for individual analysis, but also then building econometric measurement systems that improve the product to get towards Spotify's mission of, of billion listeners and fans who can connect with over a million creative artists who are making a living. So that's, so it's a combination, it's the combination people process. Do we have the people set up? Do we have this integrated system of economists working alongside all these different types of stakeholders along with the product side of, do we have these measurement techniques that we're applying in a way that is important to Spotify's not only Spotify's business, but all the stakeholders that have an interest in Bon life. Scott Cunningham:So I feel like, you know, I think to academics that, that, and, and maybe even to some degree students, maybe I'm, maybe I'm completely an outlier here and I'm wrong, but you know, I think there's this like really shallow is a negative word. It, I mean, shallow, literally more and just like, it's just the thinnest knowledge possible of what exactly, you know, the, the, the core skillset of a successful economist is in tech. You know, and for many people they think, I think they, they think it's such a primitive level. They're like, it needs to be somebody that can code, you know, it's a data scientist, but, but it, but it, but that's not what I associate with economics. Right. So what would you, what would you articulate? It is, Kyle Kretschman:So it's the ability to do econom applied econometric research. That's applied to business problems. Mm. So within that is coding. Yes. Scott Cunningham:Right, right. Within that is coding. Kyle Kretschman:I, the vast majority, I won't say everyone, but the vast majority of tech economists are gonna have some level of coding and maybe they're not coding anymore. Like I'm not doing any coding anymore, but like they, they have that ability. So that's just again, that's, that's a skillset, but the real ability is doing long-term economic research. Because the questions that we get asked are very hard and difficult, and they are maybe in the academic setting, maybe they are publication worthy, takes that take three years, four years to actually solve with the right model. Yeah. But it's the ability to take that three year research roadmap

Eine Stunde Film - Deutschlandfunk Nova
Filmemacherin Julia Becker zu "Over Out" - Keine Hochzeit und ein Todesfall

Eine Stunde Film - Deutschlandfunk Nova

Play Episode Listen Later Aug 30, 2022 44:31


Maja lädt ihre drei besten Freundinnen zu ihrer Hochzeit ein. Anstatt zu heiraten, ist sie allerdings gestorben, und Steffi, Lea und Toni sollen sie heimlich in Italien seebestatten. Eine mit Stars besetze Roadmovie-Dramödie. **********Den Artikel zum Stück findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: Instagram und YouTube.

Nordic FoodTech
Kitchen Collective Founder Mia Maja Hansen on launching new food ventures

Nordic FoodTech

Play Episode Listen Later Aug 30, 2022 57:38


Mia Maja Hansson has been super influential in nurturing Copenhagen's food startup scene. She launched Kitchen Collective, one of the first test kitchens in Europe followed by a co-working collective and street food festival for startups to test new products. The red thread in everything she does is a vision to create a more sustainable, diverse food culture that's supported by healthy businesses and healthy people. In today's episode, we talk to Mia Maja about her journey, common mistakes she sees food entrepreneurs make, and recommendations for running a test kitchen. Episode Transcript Related Episodes Join the newsletter Top 10 startup Interviews How these chefs view food as a vehicle for change These investors are focused on food and ag Ocean Harvest on regenerative ocean farming

The Tea Grannies
Agent Capture with Author Maja Hampson

The Tea Grannies

Play Episode Listen Later Aug 19, 2022 42:07


Today we're joined by our friend and fellow author Maja Hampson, to chat about what happens when you finally land an agent! Don't forget to rate and review us wherever you get your podcasts, and follow us on Instagram @theteagranniespodcast and on Twitter @theteagrannies. Happy writing!LINKS:Maja on Instagram: @maja_is_writingMaja on Twitter: @maja_hampsonAlexa Dunn: Questions for THE CALL! What to ask a literary agentContext Literary Agency Hosted on Acast. See acast.com/privacy for more information.

What The Duck?!
Trees call out fake news

What The Duck?!

Play Episode Listen Later Aug 19, 2022


Sawing through tree myths with Arborists Maja and Sam. No matter how good your job is, there's always something that really cheeses you off, and Maja and Sam are SICK TO DEATH of all your misconceptions about trees.

Tudatosság Podcast
#133: Túlteremtés

Tudatosság Podcast

Play Episode Listen Later Aug 19, 2022 29:59


Tudatosság podcast hosztjaink levezették két résszel ezelőtt, hogy a választásunk teremt, aztán utat mutattak abban, hogyan jussunk el a kétségbeesésből a teremtésbe - ami lássuk be, mostanában meglehetősen aktuális téma. Nem kell azonban itt megállnunk. A következő megálló neve: Túlteremtés. A túlteremtésről sokunknak a verseny ugrik be első körben, de vajon milyen alternatívák vannak, ha nem akarunk versenyezni, netán pusztán a verseny szó hallatán feljönnek a falaink? Miből táplálkozhat az a túlteremtés, ami nem rivalizálásból fakad? Ha nem a személyt akarod túl teremteni, akkor mit? Hogyan lehet igazolni a túlteremtést, hogy ne okozzon lelkiismeret-furdalást? Különösen a magukat spirituális gondolkodásúnak vallók esnek abba a hibába, hogy azt hiszik, szégyen, ha gyarapodnak, vagy többet teremtenek másoknál. Valójában lehet békében élni önmagaddal és közben többet teremteni másoknál. Nikolett saját példát hoz a családjából és a baráti köréből arra, hogy miért nem ciki többet érni el, mint a környezeted - akár a példaképeid! Hogyan korlátozza még mindig magát Nikolett exférje, aki pedig már irigylésre méltóan sokat teremtett? Maja elárulja, ő milyen területen teremtett többet, mint a saját nagypapája, és rávilágít arra is, milyen fontos elismerni saját teremtéseinket, meg ha csak apróságokról is van szó. A teremtés nem lineáris folyamat - lehet, hogy vannak kiugróan erős területek az életedben, mások kicsit még döcögve mennek. A korlátozó nézőpontok felismerésével, tudatosításával te is túl teremtheted környezetedet, példaképeidet és a legmerészebb álmaidat is. Hiszen minden korlát felszámolása új energiákat szabadít fel... a határ csillagos ég! Hostjaid: Dienes Maja (@dienesmaja) Erdélyi Nikolett (@nikoletterdelyi) Kövess minket: Facebook: @tudatossagpodcast Instagram: @tudatossagpodcast

Zabójcze opowieści
Satanista z Piły

Zabójcze opowieści

Play Episode Listen Later Aug 17, 2022 40:28


Piła, plac Konstytucji 3 Maja. Szóstego lipca 1991 roku Mieczysław zabił swoją żonę. Siedem lat później w tym samym mieszkaniu, jego młodszy brat, Sławomir, zabił matkę. Za tą drugą zbrodnią krył się satanistyczny rytuał. W podcaście występuje śledczy, który prowadził czynności w obydwu sprawach. Zapraszam do świata audiobooków! https://www.bookbeat.pl/larek?utm_source=youtube&utm_medium=podcast&utm_campaign=zabojcze+opowiesci+30+days&utm_content=video

My side of the Crystal Ball
Wisdom from The White Witch, Maja D'Aoust | Episode 024

My side of the Crystal Ball

Play Episode Listen Later Aug 10, 2022 62:11


On this week's episode, Robert is joined with Maja D'Aoust, the white witch who is a published Scholar of Alchemy and Occult lore. Maja's interest in Alchemy and the Esoteric Occult sciences spans her entire lifetime. Maja brings many fascinating stories about how she discovered she was a witch and how she became involved in this eccentric work. Maja is very connect to spirit and does work with divination, tort cards, astrology, energy clearing, and even exorcisms. Tune in to this fantastic episode! Website: http://www.witchofthedawn.com Email: Maja@godismyboyfriend.com Where to find Robert Lindsy Milne! Website- https://robertlindsymilne.com Facebook- https://www.facebook.com/Robert.Lindsy.Milne Instagram- @rlm_1949 TikTok- @mysideofthecrystalball Email- crystalballpodcast@gmail.com Music Credits: bensound.com- All that, Downtown, Hip Jazz This Electro Swing Music Standard License Purchase code: f48e89ed-f2f0-4998-b81c-f7a4f2f31307 Produced by LITM Media kayla@litmmedia.com

Feelin Weird
125. Vaginismus & PTSD

Feelin Weird

Play Episode Listen Later Jul 30, 2022


Maja talks Vaginismus; mind-body connection; finding a safe therapist; trauma therapy; healing through relationship; & PTSD. CW: brief mention of sexual violence & self-harm. We also discuss: shaking, screaming, jumping up and down to release energy; behavioural therapy (CBT) as short term care; learning to hate & disconnect from the body at a young age; disconnection from body as cultural norm; the power of connection; "the problem is physical and the solution is physical"; & more! “When you have a relationship with your body, you don't want to hurt it” Recorded April 4, 2022 (in/outro July 28, 2022). SUPPORT via PATREON*: patreon.com/feelinweird/ Buy MERCH: kyeplant.bandcamp.com/ DONATE via Paypal Review, Rate & Subscribe on Apple Podcasts Instagram: @feelinweirdpod Website: www.feelinweird.com Contact: feelinweird@gmail.com Here's a list of EVERY regular & bonus Feelin Weird episode :) *Please consider contributing $5-50/month to support the show (and receive ~100 bonus episodes)