Podcasts about hz

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Play Episode Listen Later Jun 22, 2026 535:55

Relax by a peaceful lake as the sun sets on a quiet summer evening. This soothing lakeside ambience is blended with a calm ambient piano melody to create a gently relaxing soundscape, perfect for helping you fall asleep and block out distracting noises in your environment. We've blended in 2 Hz delta wave binaural beats to promote deep relaxation and sleep. The 8+ hour listening time will ensure you stay asleep all night. Press play and let this calming lakeside ambience guide you into a night of deep and rest.

ESMA BİNT UMESYS (R.ANHA)-22 HAZİRAN 2026-MEVLANA TAKVİMİ

Mevlana Takvimi

Play Episode Listen Later Jun 22, 2026 2:43

Peygamber (s.a.v.)'in hanımı Hz. Meymune bt. ElHaris (r.anha)'nın anne tarafından kız kardeşidir. Hz. Cafer b. Ebu Talib (r.a.)'ın eşidir. Hz. Esma (r.anha) Daru'l-Erkama girmeden önce Müslüman oldu ve biat etti. Habeşistan'a kocası Hz. Cafer b. Ebu Talib (r.a.) ile birlikte hicret eden kadınlardandı. Hicretin 7. yılında kocasıyla birlikte Habeşistan'dan Medine'ye geldi. Ca‘fer b. Ebû Tâlib Mûte Savaşı'nda şehid olunca Hz. Ebubekir (r.a.) ile evlendi ve bu evlilikten Muhammed b. Ebi Bekir doğdu. Hz. Sad b. Ebi Hilal (r.a.)'dan rivayetle, Peygamber (s.a.v.) Hz. Ebubekir (r.a.) ile Hz. Esma bt. Umeys (r.anha)'yı Huneyn gününde evlendirdiğini bildirmiştir. Sonra Hz. Ali (r.a.) ile evlendi. Hz. Esma (r.anha) dedi ki: “Ey Allâh'ın Resûlü (s.a.v.), bazı kimseler bize karşı övünüyorlar ve bizim ilk muhacirlerden olmadığımızı iddia ediyorlar” Bunun üzerine Allâh'ın Resûlü (s.a.v.) şöyle buyurdu: “Bilakis, sizin için iki hicret vardır.” Kendilerinin hem Habeşistan'a hem de Medine'ye hicret etmeleri sebebiyle iki hicret sevabı kazandıklarını belirtmiştir. Hz. Ömer (r.a.), Hz. Esma (r.anha)'ya rüya tabiri sorardı. Bu konuda çok yetenekliydi. Ayrıca Hz. Ömer (r.a.), ilk müslümanlardan olmasını ve İslâm'a hizmetini dikkate alarak kendisine 1000 dirhem maaş bağladı. Hz. Esmâ (r.anha), oğlu Muhammed b. Ebû Bekir'in Mısır valisi olduğu sırada şehid edildiğini öğrenince çok üzüldü. Bu olaydan iki yıl sonra da kocası Hz. Ali (r.a)'yı kaybetti. Kendisi de hicri 40 yılında vefat etti. (İbnu Hacer el-Askalânî, el-İsabe (Seçkin Sahabeler), s.479)

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Lasting Light (15min) - Sound Therapy for Neuroplasticity

Play Episode Listen Later Jun 20, 2026 15:27

Released on the summer solstice, Lasting Light is a restorative audio built on the most significant brain research of the past decade. The studies show that specific sound frequencies can support the cellular conditions of neuroplasticity, even in the aging brain. The name carries the spirit of the solstice and the spirit of the science at once. Light that lasts is what the summer offers the body. Plasticity that lasts is what the brain needs across a lifetime.The album draws on three convergent research lines. The 40 Hz gamma entrainment findings out of MIT and Massachusetts General Hospital, where one hour of frequency-matched sensory stimulation has been shown to clear amyloid plaques in mice and stabilize cognitive performance in people with mild Alzheimer's dementia. The vagal pathway research, showing that singing bowls, low-frequency vibration, and humming can shift heart rate variability and trigger nitric oxide release at the cellular level. And the brainwave entrainment literature, including the 2019 Garcia-Argibay meta-analysis confirming that binaural beats produce measurable effects on memory, attention, anxiety, and pain perception.Every track is a translation of a research finding into an audio decision. Gamma-range entrainment for cognitive resilience. Lower frequency foundations and somatic anchoring for autonomic regulation. Isochronic delivery for speaker listening, with binaural pairing reserved for headphones. Tempo near sixty beats per minute for cardiac entrainment.Lasting Light arrives during Alzheimer's and Brain Awareness Month. The aging brain remains plastic well into late life, and the right frequencies, delivered with care, may be among the most accessible tools we have to support that plasticity.Send us Fan MailSupport the show

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Lasting Light (GUIDED) - Sound Therapy for Neuroplasticity

Play Episode Listen Later Jun 20, 2026 22:55 Transcription Available

The longest day of the year isn't just a calendar moment, it's a biological lesson about what “lasting light” really means: systems store what helps them survive, then use it later when things get darker. We take that solstice idea and bring it straight into brain science with “Lasting Light,” our restorative audio drop built around neuroplasticity and cognitive resilience during Alzheimer's and Brain Awareness Month.We talk honestly about why memory loss cuts so deep, for the person forgetting and for the people who love them. Then we dig into three research threads that explain how sound therapy can become biology. First, 40 Hz gamma entrainment and the emerging work on GENUS, including the landmark MIT findings and early human signals suggesting 40 Hz audio-visual stimulation may help protect key brain regions. Second, the body-side pathways: vagus nerve tone, heart rate variability (HRV), and nitric oxide, including studies on singing bowls, vibration, and even simple humming that may improve circulation and parasympathetic regulation. Third, brainwave entrainment as a field: binaural beats, monaural beats, and isochronic tones, what the meta-analyses actually support, and where the claims get ahead of the evidence.We also explain how we translate that into design choices you can feel: gamma-range structure for cognition, lower-frequency foundations for calming the nervous system, speaker-friendly isochronic delivery, and intentional silence for integration. If you're a caregiver, we share how to use the audio in the room without requiring comprehension. If you're listening for yourself, we leave you with the simplest takeaway: the brain you have is still learning. Subscribe, share this with someone who needs steadier hope, and leave a review with the one sound practice you want us to test next.Send us Fan MailSupport the show

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Lasting Light (5min) - Sound Therapy for Neuroplasticity

Play Episode Listen Later Jun 20, 2026 5:27

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How Power Lines May Rewire Your Brain - The Worm Study That Changes Everything

Play Episode Listen Later Jun 19, 2026 4:53

New research reveals that sixty hertz magnetic fields -- the same frequency as your electrical grid -- can alter protein function and change behavior in living organisms. I'm R Blank, and today I break down a fascinating study that exposed mutant worms to power-line frequency magnetic fields and discovered something remarkable: their social feeding behavior completely changed. What this tells us about electromagnetic fields and protein function could reshape how we think about our daily EMF exposures. In This Episode How sixty hertz magnetic fields altered worm feeding behavior The protein mechanism behind electromagnetic field effects What power-line frequency exposures mean for human health Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

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RESÛLULLAH'IN (S.A.V.) DİĞER PEYGAMBERLERDEN ALTI ÜSTÜNLÜĞÜ-19 HAZİRAN 2026-MEVLANA TAKVİMİ

Mevlana Takvimi

Play Episode Listen Later Jun 19, 2026 3:11

1. Fesahat ve belâgat üstünlüğü: Peygamber (s.a.v.), olağanüstü fesahat (düzgün ve etkili söz söyleme) ve belâgat (anlamı güçlü ve güzel ifade etme) sahibiydi. Onun mübarek hadisleri, lafzen kısa ama manen birçok hakikati ihtiva ederdi. En veciz ifadelerle en derin, geniş anlamları aktarmak, yalnızca Nebi (s.a.v.)'e mahsus bir yüce sıfattır. 2. Fetihlerde ilahî yardım: Allah (c.c.), O (s.a.v.)'e büyük yardımlar ve önemli fetihlerle destekledi. Düşmanlarının kalplerine düşen korku, bu fetihleri kolaylaştırdı ve İslâm hâkimiyeti her tarafta kendini gösterdi. 3. Ganimetin helâl kılınması: Önceki peygamberlerin ümmetlerine, savaşta elde edilen ganimet malları helâl değildi; bu mallar yakılırdı. Efendimiz (s.a.v.)'e ise ganimet helâl kılındı. Bu, İslâm mücahitlerinin refahına vesile oldu. 4. Yeryüzünün mescid kılınması: Allah (c.c.), İslâm ümmetine büyük kolaylıklar bahşetti. Yeryüzünün her tarafı esasen temiz kılındı ve bu ümmete üzerinde namaz kılmak caiz oldu. Müslümanlar, bir sahrada veya herhangi bir açık alanda cemaatle ya da tek başına namaz kılabilir. 5. Risaletin umumi oluşu: Peygamberimizin (s.a.v.) risaleti bütün beşeriyete yöneliktir. Allah (c.c.) katında kabul gören din, yalnızca İslâm'dır. O (s.a.v.), bütün insanları bu hak dine davet etmiştir. 6. Nübüvvetin sona ermesi: Nübüvvet (peygamberlik) ve risalet (elçilik) silsilesi, Peygamber (s.a.v.) ile son bulmuştur. Onun dini bütün beldelere yayılmış, yüksek hakikatleri her milletçe bilinebilir hâle gelmiştir. Artık hiçbir millet, “Biz bilmiyorduk” diyerek mazur olamaz. Dolayısıyla insanlara başka bir peygamber gönderilmesine gerek kalmamış, nebilerin ve resûllerin en faziletlisi olan Hz. Muhammed (s.a.v.) ile peygamberlik sona ermiştir. (Ömer Nasuhi Bilmen, Sualli Cevaplı Dinî Bilgiler, s.52)

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Jay Cold-Reads a 10-Year-Old's Brain: "Not Broken, Just Needs a Tune-Up"

Play Episode Listen Later Jun 18, 2026 31:50

Jay Gunkelman goes in BLIND on a 10-year-old's EEG — no diagnosis, no story. What he finds isn't a broken brain: it's gross over-arousal with FAST alpha near 12 Hz, beta spindling up at 32 Hz that a database stopping at 30 would never see, and a left-side sympathetic source pointing at the insula. The likely complaint? Anxiety — maybe labeled OCD, maybe pushed toward an SSRI that would make this brain worse, not better. Jay lays out the actual fix: the Scott protocol's pre-treatment FIRST (calm the sympathetic trigger and slow content), THEN slow-alpha and alpha-theta training to drop the arousal. Read the brain, and the trajectory of a whole life changes. Plus: Joshua Moore previews his first QEEG-phenotypes workshop.

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The Psychic Soul Meditations

Play Episode Listen Later Jun 18, 2026 535:19

This binaural sleep soundscape combines both brown noise and white noise to give you high and low frequency noise blocking. Perfect for getting sleep in very noise environments. Along with that we've blended in some soft ambient string music to create a soothing and warming background to help quiet the mind and prevent those racing thoughts from keeping you up. Lastly, we've added 10 Hz alpha waves to promote a state of relaxed awareness, mental clarity, and calm focus, making this soundscape ideal for both relaxation and mindful rest.

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June 2026 Solstice Guided Meditation | Balance, Harmony & Connection

Play Episode Listen Later Jun 18, 2026 30:00 Transcription Available

June 2026 Solstice guided meditation for Summer Solstice and Winter Solstice energy, grounding, renewal, and balance.In this Solstice meditation, Crystal of The Psychic Soul Meditations guides you to ground, release, and realign through Mother Earth and the five Elements: Earth, Water, Air, Fire, and Ether.This 30-minute guided meditation includes gentle 7 Hz binaural beats to support a calm, receptive state as you restore your energy, regulate your nervous system, and reconnect with the natural rhythm of the season.The June 2026 Solstice marks the longest day of the year in the Northern Hemisphere and the shortest day of the year in the Southern Hemisphere. Wherever you are in the world, this sacred seasonal turning point invites you to pause, breathe, receive, and remember the light within.Listen with headphones if possible. After your meditation, download your free Solstice Ritual Guidebook to journal, reflect, and continue your seasonal practice.Free Solstice Ritual Guidebook Here!Follow The Psychic Soul Meditations for guided meditations, moon meditations, Solstice meditations, nervous system regulation practices, intuition development, and energy healing tools.

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YAĞMUR, MAL VE EVLÂD KAPILARININ ANAHTARI-18 HAZİRAN 2026-MEVLANA TAKVİMİ

Mevlana Takvimi

Play Episode Listen Later Jun 18, 2026 3:08

Kur'ân-ı Kerim'de mağfiret dilemenin, yani istiğfar etmenin, rızkın ve yağmurun indirilmesine sebep olacağına dâir deliller vardır. İbn Subayh (rh.a.) dedi ki: Bir kişi Hasan-ı Basri(r.a.)'e kuraklıktan şikayet etti. Ona: Allah (c.c.)'dan mağfiret dile, dedi. Bir diğeri ona fakirlikten şikayet etti, ona da: Allah (c.c.)'dan mağfiret dile, dedi. Bir başka kişi ona: Allah (c.c.)'a dua et de bana bir oğul ihsan etsin dedi, ona da: Allah (c.c.)'dan mağfiret dile, dedi. Bir başkası bahçesindeki kuraklıktan ona şikayet etti, ona da: Allah (c.c.)'dan mağfiret dile, dedi. Biz böyle demesinin sebebini ona sorduk, o da: Ben kendiliğimden bir şey söylemedim, çünkü yüce Allah (c.c.) şöyle buyuruyor: “Rabbinizden mağfiret dileyin. Çünkü O, çok mağfiret edicidir. Böylece O, üzerinize semayı (yağmuru) bol bol salıverir. Mallarla, oğullarla size yardım eder. Size bağlar, bahçeler verir ve sizin için nehirler akıtır” (Nûh s.10-11-12) Bundan dolayı istiska namazında (yağmur duasında) mağfiret dilemek emrolunmuştur. Şa'bî (r.a.) şöyle demiştir: Hz. Ömer (r.a.) yağmur duasına çıktı. Geri dönünceye kadar mağfiret dilemekten başka bir şey yapmadı. Onlara yağmur yağdırılınca, yanında bulunanlar: Biz senin yağmur için dua ettiğini görmedik, dediler. O da: Ben kendisi sebebiyle yağmurun yağdırılması istenen semanın yağmur yağdırma sebeblerinin tümünü zikrederek yağmur talebinde bulundum dedikten sonra: yukarıdaki âyetleri okudu. (Bu ayette, Allah (c.c.)'ya istiğfar ederek yani ondan bağışlanma dileyerek mal ve evlada kavuşulacağı beyan edilmiştir. Bu sebeple İslam büyükleri, çocuk isteyen kişinin günde 700 defa “Estağfirullah el azîm ve etûbü ileyk” istiğfârına devam etmelerinin uygun olacağını söylemişlerdir.) (İmam Kurtubi, Câmiu li-Ahkâmi'l-Kur'an, c. 18, s. 48)

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Sonic Branding: How Sound Shapes Customer Experience with Caitlyn Trevor

Audio Branding

Play Episode Listen Later Jun 17, 2026 37:17

“When I do see really powerful sonic branding, it's impressive. It stands out, you know? There was one I looked at, it was a luxury airline, or it was a luxury-like experience, I want to say. They sold, like, really specific vacations to remote parts of the world that were really luxury experiences and really interesting, and they had a really cohesive sonic branding that wasn't music. It was just an intentional sound design approach where they had a lot of the sounds of the place, and they really focused on a sense of place. So when it was in Japan, it would be the sound of that water bamboo thing, you know, really magnified. And then the sound of an old wooden gate closing, and then the sound of someone folding a paper crane, like really delicate, beautifully recorded sounds that they would shape into the commercial. And so that wasn't music, but every single ad had the same kind of vibe of this really intentional, beautiful sound design that evoked a sense of place. And that was just so cool. And so, when I see something like that, I'm like, ‘That's what you can do. Why are you doing random samples when you could have a really nice effect and memorable impression?'" – Caitlyn TrevorThis episode is the second half of my chat with sonic UX researcher Caitlyn Trevor as we discuss how culture can dramatically change UX impressions, the value of sound in strengthening brand, and her “Sound Effects” series on LinkedIn, exploring the link between sound and behavior.As always, if you have questions for my guest, you're welcome to reach out through the links in the show notes. If you have questions for me, visit audiobrandingpodcast.com, where you'll find a lot of ways to get in touch. Plus, subscribing to the newsletter will let you know when the new podcasts are available, along with other interesting bits of audio-related news. And if you're getting some value from listening, the best ways to show your support are to share this podcast with a friend and leave an honest review. Both those things really help, and I'd love to feature your review on future podcasts. You can leave one either in written or in voice format from the podcast's main page. I would so appreciate that.(00:00) – Making the Most of a Sonic ImpressionThe second half of our conversation begins with Caitlyn's findings when it comes to improving on-hold UX phone design, including her discovery that less is more when it comes to automated voice updates and commercials. “You're like, ‘Oh, thank God,'" she recalls from her research results, “But if it's just, ‘We want to tell you about our special new…' You're like, ‘Oh.' And so it was a stress thing for them every time they heard a voice, they thought, ‘Oh, someone's answering.' And then when it was a commercial, they were extra annoyed by the commercial.” We talk about some other sound design elements that defy common sense, such as research showing that fire alarms aren't very well attuned to the human brain. “I found that the typical fire alarm is not the most effective,” she tells us. “You know, this kind of house alarm, like, it's at around 3,000 Hz, really high-pitched. This is not great. A lower-pitched one around, I think it was 500 Hz, is actually more effective at waking people up.”(15:00) – How Sound Changes the Customer ExperienceCaitlyn tells us more about the unexpected results of research into our relationship with sound, including our smartphones. “When you turn off notifications completely,” she notes, “you actually check your phone more than if you leave them on because you have this like, fear of missing out… People who had their phones on mute picked up their phones 48 more times per day and spent 52 extra minutes on their phones.” We talk about what that research means for audio branding and making a positive customer impression, and we discuss the powerful, often-overlooked impact of sonic logos. “There's an IPSO study as well,” Caitlyn recalls, “that wasn't actually about sonic branding specifically, but the results were really flattering for sonic branding. It was something like if you have a sonic logo, it increases brand recall by, I think it was like 96%. It was really crazy.”(21:40) – The Future of Audio BrandingOur conversation comes to a close as Caitlyn shares her thoughts on the power of sound and what her research has shown about its impact on the human mind. “I think sometimes, you know, sound is such an afterthought,” she explains, “and people don't remember that it actually has a really big impact on the experience. I think that's becoming a bit clearer with people caring more about neurodivergence and sound sensitivity.” She tells listeners how they can get in touch, and adds her advice on how brands can make the strongest and most consistent sonic impression on their customer base. “The more time you spend with stimuli,” she notes, “whatever it is, a song, a picture, the longer you look at it, hear it, the more you like it. So when you're doing ratings of emotion or, I don't know, familiarity, likability, that's going to affect it. But, you know, we know this, and somehow we don't use it sometimes.”Episode SummaryCaitlin discusses the impact of sonic branding on client relationships.The impact of sound on brand perception, ratings, and customer loyalty.How Caitlin's research is redefining audio branding and marketing.Connect with the Audio Branding Podcast:Book your project with Voice Overs and Vocals by visiting https://voiceoversandvocals.comConnect with me on Instagram - https://www.instagram.com/jodikrangle/Watch the Audio Branding Podcast on YouTube - https://www.youtube.com/c/JodiKrangleVOConnect with me on LinkedIn - https://www.linkedin.com/in/jodikrangle/Leave the Audio Branding Podcast a review at https://lovethepodcast.com/audiobranding (Thank you!)Share your passion effectively with these Tips for Sounding Your Best as a Podcast Guest!https://voiceoversandvocals.com/tips-for-sounding-your-best-as-a-podcast-guest/Get my Top Five Tips for Implementing an Intentional Audio Strategyhttps://voiceoversandvocals.com/audio-branding-strategy/Editing/Production by Humberto Franco - https://humbertofranco.com/This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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Your Home as a Healing Space: A Conversation with Jen Heller

Feng Shui Living: Tips for busy women looking to destress, relieve anxiety, and live with more intention

Play Episode Listen Later Jun 17, 2026 33:21

Click here to send Lisa a message.In this episode, I'm joined by Jen Heller — health and wellness educator, host of the Homes That Heal podcast, and infrared sauna expert. Jen's story is one I think you'll find both inspiring and grounding. From surviving an explosion as a teenager to experiencing a stroke in her early 30s, she's been on an extraordinary journey toward healing — and now she helps others create home environments that truly support their wellbeing.We talk about something I think about all the time: the ecosystem of your home. You can want to feel better, but if you're living in a toxic or depleted environment, you're working against yourself. Jen brings the physical and environmental wellness piece to that conversation in such a beautiful way.In this episode you'll learn:Why your home environment matters just as much as what you put in your bodyWhat infrared sauna therapy is, how it works, and why Jen calls it her go-to healing toolThe difference between traditional and infrared saunas — and what to watch for when purchasingHow to turn your sauna (or any wellness space) into a high-vibe sanctuary you actually look forward toJen's incredible personal story and the client transformations that keep her goingConnect with Jen:Podcast: Homes That Heal — jenhellerlifestyle.comLooking to purchase an infrared sauna? Reach out to Jen directly for personalized guidanceResources mentioned in this episode:ClearLight Infrared SaunasNutrition Response Testing (NRT)432 Hz healing frequency musicEnjoying the podcast? Leave a review on Apple Podcasts — it means the world and helps more women find their way here.Ready to go deeper with your own home alignment? Learn more about the Aligned at Home Collective at purelivingwithlisamorton.com.Support the showThanks so much for listening to Feng Shui Living!Make sure you subscribe wherever you listen to podcasts. Follow the podcast here:www.purelivingwithlisamorton.com

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Idiot Mystic

Play Episode Listen Later Jun 15, 2026 70:18

Hi.This is a 1 hour 432 Hz sound bath made with steady rain sounds and soft resonant tones for deep meditation, lucid dreaming, ADHD relief, relaxation, focus, and restful sleep.The rain gives the mind something steady to rest on.The tones move underneath it gently, creating a dreamlike atmosphere that sits somewhere between meditation and sleep, clarity and drift.Use this for deep meditation, lucid dreaming preparation, ADHD relief, focus, sleep, journaling, reflection, or quiet inward time.This one is meant to feel spacious and calming without demanding too much from you.No big promise.No magical guarantee.Just rain, resonance, repetition, and a little room to soften.Best with headphones, but still calming without them.For more sound baths, meditations, rain audio, ocean sounds, and strange spiritual thoughts:Website: https://www.idiotmystic.comDiscord: https://discord.gg/dXKjhZrZmMInstagram: @idiotmysticTikTok: @idiotmysticYouTube: Idiot MysticFollow Idiot Mystic for more calming audio and weird little places to rest.

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Silent Subliminals von High Energy Mind

Play Episode Listen Later Jun 15, 2026 534:41

Fall asleep tonight other the colorful Aurora Borealis night sky with Under the Northern Lights, a relaxing sleep soundscape featuring ethereal ambient sleep music, cold gusts of relaxing winter winds, and 4 Hz delta wave binaural beats to promote deep sleep and relaxation. Perfect for stress and anxiety reduction, meditation, and mindfulness.

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Kunden anziehen leicht gemacht: Mit Silent Subliminals zum erfolgreichen Business und mehr Umsatz

Play Episode Listen Later Jun 12, 2026 10:00

Über diese Folge Erfolg im Business beginnt mit der richtigen inneren Ausrichtung. In dieser Episode des Silent Subliminals Podcast kombinieren sich 432 Hz Entspannungsmusik und gezielte Silent Subliminals, um deine mentale Einstellung auf das Anziehen idealer Kunden auszurichten. Silent Subliminals sind kaum wahrnehmbare Affirmationen, die dein Unterbewusstsein erreichen und positive Veränderungen fördern. Durch regelmäßiges Anhören kannst du Selbstzweifel im Verkauf reduzieren, Vertrauen in dein Angebot aufbauen und eine magnetische Ausstrahlung entwickeln. Nutze die Kraft der stillen Botschaften, um deine geschäftliche Präsenz zu stärken und Kundenbeziehungen zu fördern. Affirmationen aus der Folge Ich ziehe meine Wunschkunden mühelos an. Jeder Tag bringt mir neue und inspirierende Möglichkeiten. Ich begeistere meine Kunden mit meinen Leistungen. Ich baue eine starke, vertrauensvolle Beziehung zu meinen Kunden auf. Ich übertreffe stets die Erwartungen meiner Kunden. Jeder Kunde hat das Potenzial, mein Wunschkunde zu werden. Ich erkenne und erfülle die Ziele meiner Kunden. Ich habe das Potenzial, langfristige Kundenbeziehungen aufzubauen. Die Zufriedenheit meiner Kunden hat für mich oberste Priorität. Ich erkenne die Bedürfnisse meiner Kunden und setze sie um. Jeder Kunde wertet meine Arbeit und mein Geschäft auf. Mein Geschäft boomt, weil ich meine Traumkunden anziehe. Meine Angebote ziehen meine Wunschkunden magisch an. Ich liebe die Arbeit mit meinen Traumkunden. Meine idealen Kunden schätzen und respektieren meine Arbeit. Jeder Tag bringt mir neue und inspirierende Kunden. Ich bin dankbar für die positive Beziehung zu meinen Kunden. Das Universum füllt meine Kundenliste mit idealen Menschen. Ich genieße die wachsende Beziehung zu meinen Kunden. Meine Arbeit und meine Leidenschaft ziehen die perfekten Kunden an. Ich bin ein verlässlicher Partner für den Erfolg meiner Kunden. Ich begegne meinen Kunden mit Respekt und Wertschätzung. Meine Kunden fühlen sich bei mir gut aufgehoben. Wie wirken Silent Subliminals? Silent Subliminals sind Audiodateien, die Botschaften auf einer Frequenz enthalten, die bewusst nicht hörbar ist, aber dennoch vom Unterbewusstsein wahrgenommen wird. Diese Technik zielt darauf ab, das Unterbewusstsein positiv zu beeinflussen, indem sie Affirmationen und erfolgsorientierende Aussagen ohne bewusste Ablenkung vermittelt. Der Vorteil von Silent Subliminals liegt in ihrer Fähigkeit, das Unterbewusstsein zu programmieren, indem sie Zweifel am eigenen Wert durch Selbstvertrauen und magnetische Ausstrahlung ersetzen. Diese können helfen, Kunden anzuziehen, indem sie die innere Überzeugung vom eigenen Angebot stärken, Verkaufshemmungen reduzieren und eine positive Energie für Geschäftsbeziehungen aktivieren. Durch regelmäßiges Anhören von Silent Subliminals kann die mentale Ausrichtung auf Erfolg und Fülle intensiviert werden, um mehr ideale Kunden zu gewinnen. Jetzt anhören Apple Podcasts Amazon Music YouTube Kanal Spotify Playlist Du bist selbstständig, hast ein tolles Angebot – und trotzdem fühlt sich die Kundengewinnung manchmal an wie ein Kampf gegen Windmühlen? Du postest, netzwerkst, verbesserst deine Website, und dennoch bleibt der Umsatz hinter deinen Erwartungen? Dann könnte der Grund tiefer liegen, als du denkst. Nicht in deiner Strategie. Sondern in deinem Kopf. In diesem Artikel zeige ich dir, was Silent Subliminals sind, wie sie wirken – und warum sie dir dabei helfen können, Kunden anzuziehen, anstatt ihnen hinterherzulaufen. Kein Hype, keine Versprechen ohne Grundlage. Aber ein ehrlicher Blick auf ein Werkzeug, das immer mehr Selbstständige und Unternehmer:innen in ihren Alltag integrieren. Warum Kunden anziehen kein reines Marketing-Problem ist Lass uns kurz ehrlich sein: Die meisten Business-Probleme, die sich nach „schlechtem Marketing" anfühlen, sind in Wirklichkeit Mindset-Probleme. Du glaubst vielleicht insgeheim, dass du zu wenig Erfahrung hast. Dass dein Angebot nicht gut genug ist. Dass andere Anbieter:innen einfach besser sind. Dass Geld verdienen kompliziert sein muss. Oder dass du „so jemand" nicht bist, der leicht Kunden gewinnt. Diese Überzeugungen sitzen nicht in deiner Marketingstrategie. Sie sitzen in deinem Unterbewusstsein. Und das Tückische daran: Du merkst es oft gar nicht. Das Unterbewusstsein arbeitet leise im Hintergrund – es filtert, wie du Chancen wahrnimmst, wie du auf potenzielle Kunden zugehen, wie du kommunizierst, und wie viel du dir selbst erlaubst, zu verdienen. Genau hier kommen Silent Subliminals ins Spiel. Was sind Silent Subliminals? Eine verständliche Erklärung für Einsteiger Silent Subliminals sind Audiodateien, die positive Affirmationen enthalten – allerdings auf einer Frequenz, die außerhalb des bewussten Hörvermögens liegt. Der Begriff „silent" ist dabei etwas irreführend: Die Aufnahmen sind nicht vollständig stumm. Stattdessen werden die gesprochenen Affirmationen auf eine sehr hohe Frequenz (typischerweise um 14.000–17.000 Hz) moduliert. Du hörst sie nicht bewusst als Sprache – aber dein Gehirn soll sie dennoch verarbeiten. Ergänzt werden viele Silent Subliminals mit entspannender Hintergrundmusik, zum Beispiel 432-Hz-Musik, die eine harmonisierende Wirkung auf das Nervensystem haben soll. So klingen die Aufnahmen für dich wie ruhige Ambient-Musik oder Naturklänge – während im Hintergrund zielgerichtete Botschaften für dein Unterbewusstsein eingebettet sind. Was steht dahinter? Die Theorie hinter Silent Subliminals stammt aus der Forschung zu subliminaler Wahrnehmung und auditiver Verarbeitung. Die Idee: Weil die Affirmationen nicht bewusst wahrgenommen werden, umgehen sie den sogenannten „kritischen Filter" des Bewusstseins – also den Teil deines Geistes, der neue Informationen sofort bewertet und oft ablehnt. So sollen positive Überzeugungen direkter im Unterbewusstsein verankert werden. Wichtiger Hinweis: Die wissenschaftliche Forschung zu Silent Subliminals steckt noch in den Kinderschuhen. Es gibt erste Hinweise auf Wirksamkeit subliminaler Audiostimulation, aber keine abschließenden klinischen Beweise. Silent Subliminals sind kein Ersatz für professionelle Beratung, Therapie oder solides Business-Know-how. Sie sind ein ergänzendes Werkzeug – und als solches solltest du sie einsetzen. Wie Silent Subliminals wirken – der Mechanismus dahinter Um zu verstehen, wie Silent Subliminals beim Kunden anziehen helfen können, lohnt sich ein kurzer Blick auf das Zusammenspiel von Bewusstsein und Unterbewusstsein. Dein Bewusstsein trifft Entscheidungen. Dein Unterbewusstsein setzt sie um – oder sabotiert sie. Es arbeitet auf Basis von Glaubenssätzen, die sich über Jahre, manchmal Jahrzehnte, eingraviert haben. Manche davon sind hilfreich. Viele davon – besonders rund um Geld, Erfolg und Selbstwert – nicht. Das klassische Problem bei Affirmationen, die du laut sprichst oder schreibst: Dein Bewusstsein hört zu und zweifelt sofort. Du sagst „Ich ziehe leicht Kunden an" – und eine innere Stimme antwortet prompt: „Aha. Sicher." Silent Subliminals sollen dieses Problem umgehen. Weil du die Affirmationen nicht bewusst wahrnimmst, findet keine direkte Ablehnung statt. Die Botschaft soll tiefer ankern können. In der Praxis nutzen viele Menschen Silent Subliminals so: Beim Schlafen – im Hintergrund laufen lassen, während du schläfst Beim Frühstück oder Duschen – als Teil der Morgenroutine Beim Arbeiten – leise im Hintergrund, ohne den Fokus zu stören Beim Sport oder Spazierengehen – als motivierender Begleiter Der entscheidende Vorteil: Du musst keine zusätzliche Zeit investieren. Silent Subliminals laufen parallel zu deinem Alltag. Die Verbindung zwischen Mindset und Kundengewinnung Warum spielt das Mindset überhaupt eine Rolle, wenn es ums Kunden anziehen geht? Ganz einfach: Kunden kaufen Menschen. Und Menschen erspüren, wie jemand zu sich selbst und zu seinem Angebot steht – auch wenn sie das nicht in Worte fassen können. Ein Verkaufsgespräch mit jemandem, der innerlich überzeugt ist, einen echten Wert zu liefern, fühlt sich anders an als eines mit jemandem, der im Stillen hofft, nicht abgelehnt zu werden. Das zeigt sich in: Deiner Preisstrategie – Verlangst du, was dein Angebot wert ist? Oder gibst du schnell nach? Deiner Sichtbarkeit – Trittst du selbstbewusst auf, oder versteckst du dich hinter Perfektionismus? Deiner Kommunikation – Sprichst du klar darüber, was du tust und für wen? Oder bist du vage, um niemanden abzuschrecken? Deiner Ausdauer – Gibst du bei ersten Rückschlägen auf? Oder bleibst du dran? All das sind keine Marketing-Techniken. Das ist Haltung. Und Haltung entsteht im Kopf – genauer gesagt: im Unterbewusstsein. Wenn Silent Subliminals helfen, hinderliche Glaubenssätze durch förderliche zu ersetzen, arbeiten sie damit an der Wurzel vieler Business-Herausforderungen. Typische Blockaden, die Selbstständige beim Kunden anziehen bremsen Bevor wir zu den konkreten Tipps kommen: Erkennst du dich in einem dieser Muster wieder? 1. Das Hochstapler-Syndrom Du zweifelst innerlich, ob du gut genug bist – obwohl deine Kunden zufrieden sind. Du zögerst, dich klar zu positionieren, weil du Angst hast, aufzufliegen. 2. Geld-Glaubenssätze Irgendwo tief drin glaubst du, dass es unanständig ist, viel Geld zu verdienen. Oder dass Geld verdienen Ausbeutung bedeutet. Oder dass du hart leiden musst, um Erfolg zu verdienen. 3. Angst vor Ablehnung Jede Absage trifft dich persönlich. Du gehst nicht aktiv auf potenzielle Kunden zu, weil du ein „Nein" fürchtest. 4. Unsichtbarkeit als Schutzstrategie Du arbeitest lieber im Verborgenen, weil Sichtbarkeit sich gefährlich anfühlt. Was, wenn du kritisiert wirst? 5. Überzeugung, dass es „nie genug" Kunden gibt Du lebst im Mangel-Mindset – und das überträgt sich auf deine gesamte Energie und

business marketing pr mindset partner arbeit silent blick tipps rolle geld kraft alltag grund durch kopf erfolg bed diese gesch fokus ganz energie beispiel erfahrung basis spiel ziele beziehung viele entscheidungen praxis chancen dass stimme vertrauen genau leidenschaft sprache weil wert kampf meine strategie erwartungen kunden erkl wirkung filter angebot hintergrund haltung unternehmer aha zweifel potenzial bewusstsein grundlage priorit forschung respekt einstellung selbstst wahrnehmung wertsch aussagen therapie muster gehirn beratung manche hinweise sicher erg glaubenss verkauf stattdessen gemacht leistungen sondern versprechen jahrzehnte werkzeug selbstvertrauen leicht sichtbarkeit botschaften umsatz nutze ausrichtung selbstwert ablehnung selbstzweifel perfektionismus anbieter zusammenspiel aufnahmen ersatz ablenkung unterbewusstsein hz ausstrahlung nervensystems wirksamkeit geistes erfolgreichen beweise verarbeitung wurzel affirmationen frequenz ausbeutung duschen stillen verborgenen bewusstseins der begriff marketingstrategie erkennst die verbindung die botschaft kundengewinnung das universum anziehen mehr umsatz jeder tag und menschen kinderschuhen business und kundenbeziehungen spazierengehen windm der vorteil wunschkunden dein unterbewusstsein folge ich meine arbeit hintergrundmusik unsichtbarkeit die theorie traumkunden diese technik subliminals dein bewusstsein audiodateien die aufnahmen beim sport meine kunden das unterbewusstsein wunschkunde beim fr die zufriedenheit warum kunden meine angebote kundenliste jeder kunde vorteil du

White Noise & Sleep Sounds (12 Hours)

Play Episode Listen Later Jun 11, 2026 532:45

Tonight we invite you to fall asleep peacefully by a moonlit shoreline, under a calm cloudy night sky. The gently crashing waves create a soothing white noise effect, perfect for blocking out distracting sounds, while the peaceful ambient music creates a calming background to help you fall asleep. The music is centered around 963 Hz, a frequency known for promoting inner peace and higher awareness. Beneath it all is a layer of 8 Hz theta wave binaural beats, to guide the mind into a relaxed dreamlike state. For a version of this episode without binaural beats, check out the ⁠⁠⁠⁠⁠⁠8 Hour Sleep Music⁠⁠⁠⁠⁠⁠ podcast. Thank you and sleep well!

deep waves beneath calming hz theta ad free binaural beats moonlit rem sleep sleep music

HPR4658: Audio Revisited

Hacker Public Radio

Play Episode Listen Later Jun 10, 2026

This show has been flagged as Clean by the host. 01 Introduction This is a follow up to my 4 part series on simple podcasting. In this episode I will discuss a number of experiments with audio filtering. These experiments were inspired by comments by listeners and by other discussions about audio on HPR. I am not an audio expert, so I am doing this partly in order to learn something, but mainly in order to have a bit of fun. I hope that you find this entertaining as well. In a comment on the first episode a listener mentioned something called Solocast and said that the method bore a resemblance to the method that I was using. Here is his comment -------------------- 02 Comment #3 posted on 2026-04-03 07:49:58 by Reto It reminds me about Solocast Hi Whiskeyjack, I really liked your podcast and the topic. I cannot remember about your last, but the sound quality of this one was good on my mobile speakers :) The concept reminded me about the program from Norrist (another host on HPR), while similar does it have some differences HPR 3496 https://hackerpublicradio.org/eps.php?id=3496 As I am not on the future feed, I look forward to your next episode. Cheers, Reto -------------------- 03 End of comment. I did not recall having heard the episode on Solocast, but this sounded very interesting. Solocast was in HPR episode 3496 and was released by norrist on the 27th of December 2021. I listened to that episode and does indeed use use the same basic concept of recording short segments of audio and combining them later instead of creating one big recording and editing it with an audio editor. 04 The main difference is that the work flow that I described involves a lot of manual steps, while Solocast is a short Python program that automates the entire process of presenting your script, recording the segments, combining the segments, and filtering and normalizing the result. I won't try to describe Solocast in detail, instead I would recommend just listening to HPR episode 3496 to get norrist's explanation directly. -------------------- 05 While I wanted to make sure that I credited norrist with having come up with this concept four years before I did, this won't be the focus of this episode. Instead I will talk about audio filtering and various experiments that I ran on several different methods. 06 While looking at the source code for Solocast I noticed that it used a filtering method that resembled one used by Jivetalk, a podcast production program that caught the attention of one of the HPR community news presenters. This method involves taking a sample of quiet audio where there is no speaking taking place, and then using this as input to a noise reduction filter which is applied to the voice recording. The filter subtracts the quiet sample from the voice audio, which should theoretically remove the ambient noise. 07 I decided to apply this method to a number of different audio test recordings which were recorded under different circumstances using different hardware. In this way I could see if the method worked equally well under all circumstances or if there were some sorts of noise which it was suited to and some sorts that were not. 08 While I was at it, I also picked several other filter methods to see how they worked as well. Potentially, some methods may be better under some conditions while other methods were better suited to others. -------------------- 09 I won't present all of my experiments, as that would be a bit dull to listen to. Instead I will describe each method and then present audio samples which illustrate my conclusions. There are two pieces of audio software involved, both of which were also used in my series on simple podcasting. 10 The first is Sox, spelled s o x , and which is short for Sound Exchange. Sox is a command line program for audio manipulation. Sox is Free Software, released under the GPLv2 or later. The other is FFMPEG, which is also a command line program. FFMPEG is also Free Software, released under the LGPL V 2.1 or later, and GPL v 2 or later. Sox actually uses FFMPEG for certain operations. -------------------- 11 Audio Hardware For recording hardware I used the following. 12 Maxwell Headset The first is a cheap Maxwell headset that has an electrical noise problem. Unfortunately I don't have a model number for this headset. I described this hardware, the noise problems that I had with it, and how I created filters to deal with the noise in my series on simple podcasting. Briefly though, this is a headset that has a build in microphone on a boom which allows the microphone to be positioned close to the mouth. It connects with a USB cable. 13 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. 14 XTrike Headset This is a gaming headset similar to the Maxwell headset described above. The model number is GH-510 It uses a USB connection. 15 Yanmai Condenser Microphone This is a microphone that comes with a small tripod stand. The model number is SF-910 It uses a 3.5mm audio jack. -------------------- 16 This is not a review of the hardware. Rather, I was trying to create audio problems so that I could test ways to fix them. Therefore, do not take the above list as a recommendation of what to buy. However, you can see that I am not using any expensive audio hardware. If you want to make an HPR podcast, you do not need professional level hardware. -------------------- 17 Audio Samples The audio samples are as follows 18 Quiet This was recorded in a quiet environment at my desk. This is my normal podcasting environment and represents optimal conditions. The main reason for this method is to see how the various filter methods perform when dealing with the electrical noise from the Maxwell headset. 19 Small fan This is a small USB powered table fan approximately 10 cm in diameter. It was located roughly 40 cm or less to the left of the microphone, although this varies depending on the microphone. 20 Traffic This was along a busy street with traffic noise in the background. -------------------- 21 Filter Methods Sox noisered Filter with Audio Profile This method uses the Sox noisered filter. Here is a brief quote from the Sox documentation on this filter. Quote Reduce noise in the audio signal by profiling and filtering. This effect is moderately effective at removing consistent background noise such as hiss or hum. To use it, first run SoX with the noiseprof effect on a section of audio that ideally would contain silence but in fact contains noise - such sections are typically found at the beginning or the end of a recording. End of quote For these tests I recorded a separate noise profile to go with each test. -------------------- 22 Basic Manual Filter This is a basic high and low pass filter pair based on the work I had done in my previous series on simple podcasting. However, based on the tests that I have done for this episode, I decided to get a bit more aggressive in terms of filtering. I use a high pass filter of 120 Hz, and low pass filter of 8 kHz. The each filter is then applied twice to increase its effect. I also added band reject filters to deal specifically with 50 and 60 Hz line noise. -------------------- 23 Complex Manual Filter This uses the manually constructed filter described in my series on simple podcasting. This uses the basic manual filter plus a series of custom bandreject filters to fix specific noise problems with the Maxwell headset. -------------------- 24 FFMPEG afftdn Filter The documentation describes this as "Denoise audio samples with FFT." -------------------- 25 FFMPEG arnndn Filter The documentation describes this as "Reduce noise from speech using Recurrent Neural Networks." -------------------- 26 FFMPEG agate Filter I will pronounce this as "agate" for convenience. The documentation describes this as "A gate is mainly used to reduce lower parts of a signal. This kind of signal processing reduces disturbing noise between useful signals." -------------------- 27 Method The experimental method used was to take each noise sample and apply the different filter methods to it. Where there are parameters which can be adjusted, a script was used to generate a series of different sample files with different parameter values. Not all possible parameters were experimented with, as the goal is to see which method produces what sorts of results under different circumstances, not to get the best possible result for the samples that I happen to have. The method in each case was as follows 28 Step 1 Convert the audio file to FLAC if it is not already in that format. 29 Step 2 Apply a basic high and low pass filter described previously to each sample. The reason for this basic filtering is that it eliminates at least some undesired noise in a fairly fool proof manner, leaving less for the more advanced filter to deal with. This should allow for a better test of the filter under realistic conditions. 30 Step 3 Apply the noise reduction filter being tested. 31 Step 4 Normalize the filtered sample to 17 LUFS according to the EBU R128 standard. The EBU standard is described in my series on simple podcasting. Normalizing adjusts the audio signal to a desired loudness level. This allows for more more consistent sound levels and allows us to hear the results under realistic conditions. I normalize the audio individually for each sample as different recording hardware requires different amounts of loudness adjustment. This is different from the typical podcast process where normalizing takes place as the very last step in the process, but it was necessary in this case. 32 Step 5 Concatenate selected sample audio files to one another to allow for better review and comparing. -------------------- 33 Results The results are grouped according to the type of noise which is being mitigated. This allows for easier comparison of the effectiveness of each technique under different circumstances. I have only picked a few examples of interest out of the numerous experiments that I conducted. -------------------- 34 Quiet Recording Environment with Maxwell Headset This compares how well the various filtering methods work on the noise induced by the electronics in the Maxwell headset. This electronic noise consisted of a noise spike every 1 kHz. This should be representative of electronic noise caused by problems in recording hardware. 35 Manual Filter The manual filter applied a narrow band reject filter every 1 kHz from 1 kHz to 12 kHz. This completely removed the otherwise audible whine caused by the noise. 36 FFMPEG afftdn This method allows for setting a noise floor and then specifying how much the noise floor should be reduced by. The method is very sensitive to getting the noise floor correct for that recording. Set the floor too low and nothing happens. Set it too high, and some distortion results. However it seemed to be moderately effective, but it would seem to require checking it and possibly adjusting it each time it is used. 37 FFMPEG agate This method allows setting a noise floor and then suppressing all sound which falls below that level. This method is very sensitive to getting the noise floor correct for that recording. If set too low (or quiet), it is ineffective. If set too high (or loud), it distorts words which come after a pause, which would typically be between sentences. 38 When set correctly, it completely removes noise in the silences between sentences. However, the noise is still audible during speech. This is because the noise in this case is a higher frequency than normal speech, and so stands out more. It may not be a significant problem for noise which is closer to the main vocal frequency band. Overall, this method is not suitable for this particular problem. 39 FFMPEG arnndn This method used the standard model. A variety of different noise reduction models are available. I only tested it with one, std.rnnn It does not seem to introduce much distortion in the voice signal even with a high amount of mix parameter. 40 However, it is only slightly effective at removing the whine from the signal, even with a high amount of mix parameter. Overall, this method does not appear to be useful for this sort of noise problem. 41 Sox noisered Filter This was effective in removing noise between words, but noise can be heard while words are being spoken. It was better than agate however. 42 Overall Conclusion for the Maxwell Headset Noise When dealing with narrow noise bands that occur at known frequencies, the manual filter is leagues ahead of any of the other tested alternatives. 43 Sample Audio Here is a sample audio recording showing the best overall results The sample is repeated, first with only basic low and high pass filtering, and then with the manually constructed filtering. In the first sample you should hear a high pitched background whine. In the second sample, the high pitched whine is completely removed. 44 (Audio sample inserted here.) -------------------- 45 Traffic Noise This was recorded using the Borne in-line microphone connected to a mobile phone while walking along beside a busy street. This was in dry cool spring weather, and the road was paved with asphalt. This should be reasonably representative of podcasting while walking outdoors in a noisy environment. 46 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing very useful in this case as the signal was already filtered within those limits by the recording hardware anyway. The low sample rate of 8 kHz in the phone limited the upper frequency to 4 kHz. Recall that the sample rate has to be twice the highest frequency that you want to detect. Overall, this is not suitable for this sort of problem. 47 FFMPEG afftdn With a high noise floor, background noise is reduced, but not eliminated. There was not much distortion in the voice. This is only slightly useful for this sort of problem. 48 FFMPEG agate With a high threshhold, background noise is reduced, but not eliminated. There was some distortion in the voice. The background noise could also be heard when speaking, but because the frequency of the background signal was similar to the louder voice signal, it was not as noticeable as it would have been if the two were very different. This is moderately useful for this sort of problem. It may be more useful in situations where the background noise was not quite as loud. 49 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background traffic noise is still present, but is significantly less. This offers only a moderate improvement. 50 Sox noisered Filter With small amounts of noise reduction voice is clear but traffic noise is present as a very significant continuous warbling sound in the background. This is no improvement on the original and in fact could be seen as making it worse. With moderate amounts of noise reduction, traffic noise is mostly gone, but there are still various squeaks present. Voice is noticeably distorted. With large amounts of noise reduction, traffic noise is gone but voice is highly distorted. This is moderately useful for this sort of problem, but requires careful adjustment. 51 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This used the same amount of mix and threshold as was found to be most effective when each of these filters was used on its own. The background noise is almost completely gone while distortion of the voice signal is low. 52 Overall Conclusion for Traffic Noise The arnndn combined with agate filters was the most successful at suppressing background noise while limiting the amount of voice signal distortion. 53 Sample Audio Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 54 (Insert arnndn plus agate audio sample here) 55 Another Sample Here is a second audio sample showing the Sox noisered profile based filter. I have included this to show how a profile based filter can make things worse if you are not careful how you use it. This repeats the test audio 4 times. The first is with basic filtering only. The second uses low amounts of noise reduction. The third uses moderate amounts of noise reduction. The fourth uses high amounts of noise reduction. 56 (Insert noisered audio sample here) -------------------- 57 Small Fan Noise with Yanmai Microphone This was recorded using the Yanmai condenser microphone. A small fan was set up behind and to the left of the microphone. This is intended to represent situations where someone may have a fan or air conditioner running in the background due to hot weather, or has a loud computer fan. 58 A condenser microphone was used for this test as they are more prone to picking up unwanted noise. However, for practical recording purposes, this sort of microphone is unsuitable for this type of environment. 59 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing useful as the fan noise was in the same frequency range as the voice signal. This may be of more help in cases where the noise is below the 120 Hz cut off used in the low pass filter. 60 FFMPEG afftdn With high amounts of noise reduction, much of the background noise is suppressed, but there is some distortion in the voice. The background fan noise is still present, but is significantly less. Overall this is moderately effective. 61 FFMPEG agate This was effective in removing noise between words, but noise can be heard while words are being spoken. However, this was a small voice sample and it is possible that more problems could occur. With less fan noise than was in this sample this technique may work much better. 62 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background fan noise is still present, but is significantly less. Overall this was fairly effective. 63 Sox noisered Filter With small amounts of noise reduction voice is clear but fan noise is present as a slight warbling sound in the background. With moderate amounts of noise reduction, fan noise is gone, but voice is somewhat distorted. With large amounts of noise reduction, fan noise is gone but voice is very distorted. 64 In general this method is fairly successful at dealing with this sort of problem. However, there is a trade off between background noise and voice quality. Getting that trade off correct takes experiment and judgment for each specific situation. 65 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. If you listen carefully however, there is a slight buzzing sound in the voice signal. 66 Overall Conclusion for Fan Noise with Yanmai Microphone. Of the methods tested, the arnndn followed by agate filter seemed to offer the most improvement for the least effort and least voice distortion. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 67 Audio Sample Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 68 (Insert audio sample here) -------------------- 69 Small Fan Noise Recorded with Headset The following is an observation rather than a filtering technique. When a recording was made using the Maxwell headset and listened to on the headset later or with speakers, the fan was virtually inaudible. When the same recording was listened to with the XTrike headset, it was barely audible with careful listening and only identifiable as a fan because I knew it was there. 70 In situations where there is ambient noise, the best noise reduction technique is probably to move the microphone as close to your mouth as possible, although not directly in front of it, and reduce the gain if there is a gain adjustment in the microphone. This will work far better than trying to remove the noise later. If you are recording an HPR episode at a desk, then an inexpensive headset with boom mike may do the job just fine with minimal effort and expense. -------------------- 71 Conclusions I have tested three noise scenarios - Electronic noise in the audio hardware at specific frequencies. Recording outdoors with an inline microphone in a noisy traffic environment. A noisy fan creating background noise in an office. My conclusions on these are as follows. 72 Electronic Noise in the Audio Hardware at Specific Frequencies If you can use Audacity or some other means to find the frequencies which are causing the noise, the best solution, assuming you don't just replace the hardware, is to manually construct filters to remove those specific frequencies. This is the safest solution in terms of only doing what you tell it to and not producing unexpected surprises some time down the road when something changed in the environment. 73 If you are looking for a fairly automatic filtering method, the Sox noisered profile based filter seems to work fairly well. There is an equivalent filter in ffmpeg, but I did not include that in my experiments as it is harder to use in a script because it does not use a separate noise profile file. 74 Recording Outdoors with an Inline Microphone in a Noisy Traffic Environment. In this situation, the FFMPEG arnndn combined with agate filters seem to be the most successful. The Sox noisered filter may work, but at the cost of more distortion in the voice than is seen in the other methods. 75 An inherent problem with any profile based noise reduction method is that if the background noise is not constant, which it seldom is in that sort of environment, the profile may not represent the background noise which is present later on in the recording. This risks adding more distortion in the voice as the profile and later environments diverge. 76 However, for this application a different microphone that provided a better recording would appear to be advisable. A solution which brought the microphone much closer to the mouth and so resulted in a better ratio of voice signal compared to background noise would appear to be necessary, after which the question of what sort of noise reduction to use would need to be re-evaluated. 77 A Noisy Fan Creating Background Noise in an Office. The Sox noisered filter and the FFMPEG arnndn, afftdn, and agate methods all work to some degree. However, they all need correct selection of parameters to achieve the proper results. When I compared all four methods side by side, I found the arnndn combined with the agate filter to be preferable in terms of the trade off between background noise reduction and distortion of the voice signal. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 78 However, that is a subjective judgment of a specific noise sample when recorded using a specific microphone. Keep in mind though that many listeners will not be listening in an idea environment. They may be doing things where background noise is present rather than in a very quiet room and so may find a small amount of background noise in the recording to be less of a problem than distortion in the voice signal which may make some words harder to understand. 79 When I conducted the same experiment recorded with the XTrike headset I found that arnndn seemed to offer no noticeable improvement. This may be because the amount of audible fan noise was far less with the XTrike headset to begin with. In other words, there is no single best solution here, and you may have to be prepared to try different options to see which one works in your situation. The important thing is to avoid making things worse by applying filtering that is not appropriate for that situation. The best method may be to use a recording method that doesn't pick up the fan noise to begin with. This can include just using a gaming headset with boom mic. 80 I have one final observation on this point regarding headsets. The Maxwell headset has a foam cover over the microphone while the XTrike headset does not. There was some slight audible wind buffeting noise picked up by the XTrike headset that was not observed with the Maxwell. This seemed to cause particular problems with the Sox noisered profile based filter, as this noise was irregular and after filtering would show up as a warbling sound. If you use a headset and plan to use it in conjunction with a fan, it may be advisable to apply some sort of wind cover over it. 81 Combining Complex Filters In several cases I found that combining several complex filters offered better results than using any single one on its own. The basic strategy though is to first use a method which is good at reducing undesirable noise without introducing excessive voice distortion. Then apply a different filter which is good at reducing small levels of background noise to an even lower level while affecting the voice signal as little as possible. This uses the relative strengths of different filter types to compensate for the weaknesses of the other. 82 Different combinations of filters were most effective for different types of problems. I did not try all possible combinations however. Perhaps a further exploration of this would be worth doing in a later podcast. -------------------- 83 Case Study - Noise in Another HPR Episode Audio In the comments to my second episode on Simple Podcasting (which is HPR4618) where I discussed basic filtering, a couple of listeners brought up an interesting point. Antoine mentioned "declicking" in a post. -------------------- Vance replied 84 Antoine, thanks for mentioning the click removal capability in Audacity! While I already knew about its noise removal filter, I wasn't aware it also had click removal. It might have helped me for HPR4637, where some sort of electromagnetic signal was picked up by my microphone/recorder, a Zoom H2 (the tapping sound was *not* present in the room where I recorded). While click removal does seem to distort speech when applied to it (though to my ears, it doesn't sound as weird as when noise removal is done with speech), I could have applied the filter only to the pauses, where the "tapping" is most noticeable. I will consider doing this in the event that I'm not able to eliminate the source of interference in the future, which would be the best way to go. -------------------- 85 End of quote. I found this interesting as it sounded like another audio problem that could be experimented with. I found a sample of the episode which had the clicks and cut a copy of that segment out to experiment with. These sounds are a series of clicks, or "ticks" would be another way to describe them, in the quiet part of the audio between sentences or phrases. 86 Next I used Audacity to study the sound spectrum. I found a massive 60 Hz noise spike. However, my speakers won't reproduce sound that low, and filtering this out didn't reduce the clicks. The clicks turned out to be bursts of noise across the 100 to 800 Hz band, which is right where the main vocal band also is. This makes it difficult to filter based on frequency. The most promising approach would seem to be to filter based on sound level. 87 I tried all of the individual audio filter techniques mentioned in the other experiments above. None produced satisfactory results except for agate, which makes quiet audio quieter. This completely suppressed the clicks. However, when applied to the entire episode it also distorted the start of a few sentences which began with single short syllables. 88 The agate filter has a number of parameters which could be adjusted to try to deal with these cases, although I did not spend the time to do so. Another solution to this distortion problem is to simply not apply the filter to those parts of the audio which are affected. If you record the audio as a series of small individual files, it would be easy enough to filter before concatenating the files together while skipping those files which contain audio which is not suited to this method. Here are the results of the experiments. 89 FFMPEG afftdn This reduces the size of of the ticks, but they are still present. However, they may be reduced to a level which is considered acceptable. 90 FFMPEG agate This was very effective in removing ticks with the right parameters. However, it can introduce some voice distortion in the form of cutting out the start of a few sentences which began with single short syllables. This can be corrected with a very short "attack" parameter to turn off the filter when it detects sound above a set threshhold. 91 FFMPEG arnndn This was relatively ineffective. 92 Sox noisered This was effective in removing the sounds between phrases. However, it introduces some distortion in the voice signal. 93 I also tried combining filters. FFMPEG afftdn Followed by agate This combined two different filters. First, it used afftdn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. 94 Here is a short audio sample from HPR4637. First is the unfiltered audio. Second is the filtered audio using the combined afftdn plus agate filters. Since the "clicks" are very quiet, you may not hear them unless you are in quiet environment. Quite a few listeners would probably not be aware of the perceived audio problem in this episode if it had not been discussed here. None the less, it makes for an interesting experiment. Here it is: 95 (Insert sample audio here) 96 Overall Conclusion for Noise "Ticks" The afftdn combined with agate filters seemed to offer the best overall results when used with the right parameters. However, the author, Vance, speaks very clearly and evenly, and so his voice is ideally suited for use with this filter. Another author's voice may not be as suited to this filter. 97 The Sox noisered profile based filter offers various degrees of trade off between suppressing noise and distorting the voice signal. As to whether this is an acceptable trade off depends on the particular voice in question and how easily understood it is under normal circumstances with out additional distortion. The afftdn filter may be a fairly safe filter to use on its own while producing acceptable if not perfect output. -------------------- 98 Overall Conclusions I have presented only a few of the experiments that I conducted. My overall conclusion after all of this is that there is no universal audio filtering method that works best in all circumstances. There are instead a number of tools in the toolbox, and picking the right one for the job takes a bit of trial and error. 99 However, if you have a repeatable recording environment, then once you have decided what tool you need you should create a script for it so you can have a repeatable processing setup. These conclusions apply to voice podcasting. Music has a different set of criteria and techniques that work well with basic voice podcasting may produce poor results when applied to music which has a broader range of frequency and just as importantly, a broad range of loudness. 100 If you are used to using filters and effects in Audacity, many of the settings on those correspond to arguments in the command line version of ffmpeg. It is worth learning how to use ffmpeg directly to automate your recording process. 101 The experiments that I conducted were greatly assisted by writing scripts which created multiple versions of audio files with different settings, thereby allowing me to try many different alternatives relatively easily. It also allowed me to concatenate different audio samples into a single audio file and so listen to different versions in quick succession, making subjective listening judgments more reliable. 102 It is important to keep in mind in all this that I am playing with audio filtering mainly to have fun. It is not necessary to do any of this if you think your podcast episode sounds just fine without it. So, don't let any of what I have talked about in all this discourage you from simply recording a podcast and sending it in as is. I will include copies of the filters I have described here in the show notes. -------------------- 103 Related Matters Hardware Characterization Using Audio Signals I found it useful to characterize the hardware that I had in order to understand its limitations better before starting the experiments. This involved playing a signal out through a set of speakers and then recording it through a microphone. 104 I used two types of signal for this. One is type of signal is known as a "chirp" signal. This is a sine wave that steadily increases in frequency as it sweeps across the audio spectrum. The standard audio range is 20 Hz to 20 kHz, but for my purposes I limited the upper frequency to 15 kHz to save time as anything beyond that is not very useful for voice podcasts. 105 By recording the chirp signal with a microphone and analyzing it with a Fourier transform, I could quickly see what each device was capable of. See my previous series on simple podcasting for an explanation of what a Fourier transform is and what software to use to see the results of it. Here is a chirp signal. 106 (Insert Audio Sample Here) 107 In addition to a chirp signal, I also used a series of simple tones of specific frequencies. By using these tones of known frequency I could gain an understanding of the limitations of my speakers and headphones, and just as importantly, my own ears. By understanding these limitations I was able to narrow the range of frequencies that I need to deal with quite considerably and set the high and low pass filters accordingly. These tones are a series of flac files generated with ffmpeg. 108 Here is a a sample audio tone at a 2 kHz frequency. 109 (Insert Audio Sample Here) 110 Copies of the script to create the chirp signal and the tones are in the show notes. -------------------- 111 A "Not a Review" of some of the Hardware that I Used I said that I would not do a review of the hardware that I used. However, some of it deserves mention for either how good or bad it was. I will record each section using the hardware being described. 112 Maxwell Headset This is my original recording hardware. This is a headset with boom mic and USB connection. There is no model number on it, so I don't know the model. This probably cost somewhere between 10 and 25 dollars. The earpieces sit on the ears and do not fully enclose them. This makes it light weight and comfortable to wear for extended periods of time. It has a problem however with electronic noise consisting of a noise spike every 1 kHz. I was able to fix this with a series of filters using FFMPEG. Fixing this problem is what got me started in understanding audio. I will probably continue to use this headset to make podcasts. 113 XTrike Headset, Model GH-510 This is also a headset with boom mic and USB connection. I purchased this headset for the purposes of experimentation for this podcast episode. It cost $12.88. I found it to be surprisingly good for the price. It has fully enclosed ear pieces however, which may make it uncomfortable to wear in hot weather. I may try doing some of my future podcasting using this headset. 114 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. It cost approximately $3.00. I bought several sets of these and use them for listening to podcasts from an MP3 player. The ear pieces are pretty good for listening with. The microphone works reasonably well when used in a quiet location. It is less good when in a noisy environment. It is very important however to secure the microphone to your lapel or other location reasonably near your mouth and to point the microphone (that is the small hole) outwards and not simply let it dangle freely. If you let it just hang, you will get poor quality and inconsistent audio. 115 Yanmai Condenser Microphone, Model SF-910 I purchased this microphone for the purposes of experimentation for this podcast episode. It cost $3.88. As it is a condenser microphone, it is prone to picking up background noise more and as such is probably not a good choice for podcasting by single person sitting at a desk. However, it is none the less a surprisingly good microphone for surprisingly little money. 116 iCan USB Microphone, Model M-306 I purchased this microphone for the purposes of experimentation for this podcast episode. This has a USB connection. This was also relatively inexpensive at $7.99, or roughly twice the price of the Yanmai microphone. Unlike the Yanmai however, it is absolutely wretched. There was such a high degree of distortion when recording through it that I found I could not use it in the fan experiments which I had bought it for. I ended up buying the Yanmai microphone for that instead. -------------------- 117 Easy Effects Software The techniques described so far all involve recording audio files and then processing them later to produce the desired result. This is probably the simplest and most straightforward way of doing things if you are making a typical podcast. However, there may be instances where you want to apply filtering or other effects on the "live" signal immediately and not after the fact. 118 There is audio software which can hook into your computer's audio system and do this with a live signal. For Linux, there is a package called "Easy Effects". This is Free Software and comes under a GPL V3 or later license. I installed it from the Debian repository under Ubuntu 24.04. 119 You can create various filters and even chain them together to combine them. I played with it a bit but do not know enough about it to discuss it seriously at this time. However, I thought it would be worth mentioning for the sake of those who may wish to try it out themselves. -------------------- 120 Episode Conclusion After having had some fun with audio and listening to other HPR members talk about audio, I thought I would have some more fun by playing with noise reduction filters. I have no intention of becoming an audio professional, but by doing some experiments I learned a few things and had some fun doing it. I hope that the rest of you found this interest as well. I will see you all again later in another episode of Hacker Public Radio. -------------------- Scripts Basic Filter This shows basic high and low pass filters ( 120 Hz and 8 kHz respectively) and band reject filters for 50 and 60 Hz. # The high and low pass filters. hlpfil="highpass=f=120, highpass=f=120, lowpass=f=8000, lowpass=f=8000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Filter using ffmpeg. ffmpeg -i inputfile.flac -af "$hlpfil, $linefil" outputname.flac # ====================================================================== afftdn Filter # noisefloor should be between 20 and 80. noisefloor=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "afftdn=nr=10:nf=-""$noisefloor" tmptestrec.flac # ====================================================================== agate Filter # threshold shoud be between 10 and 80. threshold=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "agate=threshold=-"$threshold"dB:range=-60dB" tmptestrec.flac # ====================================================================== arnndn Filter # mix should be between 0 and 1. mix=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af 'arnndn=model=std.rnnn:mix='"$mix" tmptestrec.flac # ====================================================================== sox noisered Filter # Generate the noise profile from a sample of background noise. sox silencefiltered.flac -n noiseprof noise.prof # nramount shoudl be between 0 and 1 sox testrec-filtered.flac noiseout-testrec.flac noisered noise.prof "$nramount" # ====================================================================== Manual Filter for Maxwell Headset Noise # Create a series of band reject filters, from 1 kHz to 11 kHz. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 11 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i testrec-filtered.flac -af "$kilospikefil" tmptestrec.flac # ====================================================================== Create a "chirp" signal # Start frequency. f0=20 # End frequency. f1=15000 # Duration of signal. duration=10 ffmpeg -f lavfi -i "aevalsrc=sin(2 * PI * (0.5 * ($f1 - $f0)/$duration * t^2 + ($f0 * t))):s=44100:d=$duration" -c:a flac -af "aformat=sample_fmts=s16" chirp.flac # ====================================================================== Generate Audio Tones toneout () { printf -v freqval "%05d" $1 ffmpeg -f lavfi -i "sine=frequency=$freqval:duration=3" tmptone.flac # Normalize ffmpeg -i tmptone.flac -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k -sample_fmt s16 tone$freqval.flac rm tmptone.flac } # List of frequencies in hertz. freqlist="50 60 100 120 130 140 150 160 170 200 500 1000 2000 3000 4000 5000 6000 7000 8000 9000" for freq in $( echo $freqlist ); do toneout $freq done # ====================================================================== Provide feedback on this episode.

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Temple by the Sea | Meditation Music with Ocean Waves for Deep Sleep and Relaxation | Sleep Music (12 Hours)

Play Episode Listen Later Jun 8, 2026 715:00

Rocio Santibañez Metodo Yuen

Play Episode Listen Later Jun 8, 2026 536:04

Fall asleep under a moonlit sky, surrounded by beautiful cherry blossom trees, feeling the calm wind blow across your skin, and through the cherry blossom leaves. With peaceful 396 Hz ambient music in the background, and 5 Hz theta wave binaural beats, this relaxing soundscape is perfect for helping you fall into a deep a restful sleep for a full 8 hours. The 396 Hz frequency is associated with the Root Chakra, and is used to release fear, anxiety, negative emotions, and promote emotional healing and wellness. The continuous sleep music and nature sounds will help you stay asleep all night, waking up fully rested and recharged for the day. For a version of this episode without binaural beats, check out the ⁠⁠⁠⁠⁠8 Hour Sleep Music⁠⁠⁠⁠⁠ podcast. Thank you and sleep well!

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Menopausia Natural: El reseteo biológico que tu piel esperaba - Método Yuen

Play Episode Listen Later Jun 8, 2026 10:01

Mírate al espejo con total honestidad y deja de justificarte. Esos sofocos que te ahogan, la pérdida repentina de firmeza, la resequedad extrema y el cansancio que se lee en tu rostro no son un simple castigo de la naturaleza o "culpa de la edad". Es lógica pura y neurobiológica: has pasado décadas operando bajo la identidad de la "salvadora inagotable", vaciando tu energía vital para nutrir, sostener y resolver las crisis de todo tu clan mientras te postergabas en silencio. Tu menopausia no es una enfermedad; es la orden biológica de tu hardware exigiendo que dejes de gastar tus recursos en los demás y los regreses a ti. Pero como tu sistema nervioso sigue atrapado en la hiperresponsabilidad, tu cuerpo entra en un cortocircuito que te marchita por dentro y por fuera. Tu identidad crea tu realidad, y hoy tu piel se está desinflando porque estás usando tu energía como un escudo para proteger a un entorno que ya te drenó la vitalidad. Los síntomas extremos son el único freno de mano que le queda a tu biocomputadora para obligarte a mirar hacia adentro. Deja de buscar soluciones superficiales en cremas cosméticas y hazte cargo de reprogramar tu sistema desde la raíz. Permítete un momento de resguardo absoluto, tómate de mi mano y escucha este fortalecimiento cuántico a 432 Hz. No venimos a darte discursos compasivos que te debiliten. Utilizando el Método Yuen y la Bio-Science, vamos a hackear tu biocomputadora para borrar las memorias ancestrales de sufrimiento, desvalorización y autosacrificio de tu linaje femenino. Instalaremos las órdenes neurológicas de neutralidad, redensificación celular, retención de hidratación profunda, equilibrio térmico y soberanía estructural absoluta. Apaga la alarma de supervivencia. Devúelvele a tu biología el permiso de florecer para ti misma y reclama el andamiaje de tu verdadero Yo Sagrado. No vives reaccionando, vives eligiendo. Tu vida se reorganiza cuando decides mirarte con dirección, estructura y crudeza. ¿Qué carga ajena o rol de salvadora estás sosteniendo hoy que ya fracturó la juventud de tu piel? ¿Qué verdad sobre tu propio abandono estás lista para dejar de negar y borrar de tu sistema? Déjame tu respuesta aquí abajo con valentía, recíbete en este espacio seguro y colectivo que hemos construido para tu transformación identitaria, y decreta tu reseteo biológico ahora mismo. ¿Lista para el cambio? Haz clic y comienza tu viaje hacia una vida sin límites.

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Takin' a Walk with Buzz Knight: Ziggy Marley on Music's Healing Power and His Grammy-Winning Legacy

Takin A Walk

Play Episode Listen Later Jun 6, 2026 31:00 Transcription Available

Join us for an enlightening journey as host Buzz Knight takes a walk with none other than nine-time Grammy winner Ziggy Marley, who shares profound insights into his latest album, 'Bright Side. ' Ziggy Marley describes this work as intentionally therapeutic, a testament to his commitment to emotional healing through music on society and culture. Discover how he recorded at 432 Hz, a frequency he believes resonates deeply with human emotions and promotes healing. Ziggy’s exploration of this frequency stems from a desire for personal growth and a deeper understanding of music's impact on mental health, making this episode of 'Taking a Walk' a must-listen for anyone interested in the intersection of music and wellness. Throughout the conversation, Ziggy emphasizes the importance of creating music not just for commercial success, but for emotional and spiritual connection beyond global hits. He reflects on his family legacy, particularly the influence of his father, the legendary Bob Marley, and how it shapes his mission to use music as a form of healing and social commentary. Ziggy's new studio, Rebel Lion, embodies the collaborative spirit that permeates his creative process, showcasing the power of community in music-making. Buzz Knight, known for his engaging interviews and insightful storytelling, navigates through themes of humility, spirituality, and the transformative power of music. This episode touches on significant societal issues, including racism and mental health, making it an essential listen for those who appreciate the deeper meanings behind iconic songs and the stories of legendary musicians. Listeners will be inspired by Ziggy's artistic reinvention and his commitment to using music as a platform for change. With Buzz Knight's unique perspective, this episode of 'Taking a Walk' promises to deliver not just music history insights, but also personal stories that resonate on a profound level. You'll love Ziggy Marley's answer to Buzz Knight's Dream Walk question. It's not one of the iconic guests you expect it to be. Tune in to hear Ziggy Marley’s inspiring journey, the stories behind his songs, and how he continues to push the boundaries of music in our ever-evolving cultural landscape. Whether you're a fan of classic rock history, indie music journeys, or the soulful sounds of jazz, this episode is packed with insights that will enrich your understanding of music's role in our lives. Don't miss out on this captivating conversation that exemplifies the essence of 'Takin' a Walk'—a podcast that celebrates the artistry and legacy of music, one step at a time. Support the show: https://takinawalk.com/See omnystudio.com/listener for privacy information.

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Takin' a Walk with Buzz Knight: Ziggy Marley on Music's Healing Power and His Grammy-Winning Legacy

Takin A Walk

Play Episode Listen Later Jun 5, 2026 31:32 Transcription Available

Join us for an enlightening journey as host Buzz Knight takes a walk with none other than nine-time Grammy winner Ziggy Marley, who shares profound insights into his latest album, 'Bright Side. ' Ziggy Marley describes this work as intentionally therapeutic, a testament to his commitment to emotional healing through music. Discover how he recorded at 432 Hz, a frequency he believes resonates deeply with human emotions and promotes healing. Ziggy’s exploration of this frequency stems from a desire for personal growth and a deeper understanding of music's impact on mental health, making this episode of 'Taking a Walk' a must-listen for anyone interested in the intersection of music and wellness. Throughout the conversation on The Music Podcast, Ziggy emphasizes the importance of creating music not just for commercial success, but for emotional and spiritual connection. He reflects on his family legacy, particularly the influence of his father, the legendary Bob Marley, and how it shapes his mission to use music as a form of healing and social commentary. Ziggy's new studio, Rebel Lion, embodies the collaborative spirit that permeates his creative process, showcasing the power of community in music-making. Buzz Knight, known for his engaging interviews and insightful storytelling, navigates through themes of humility, spirituality, and the transformative power of music on society and culture. This episode touches on significant societal issues, including racism and mental health, making it an essential listen for those who appreciate the deeper meanings behind iconic songs and the stories of legendary musicians. Listeners will be inspired by Ziggy's artistic reinvention and his commitment to using music as a platform for change. With Buzz Knight's unique perspective, this episode of 'Taking a Walk' promises to deliver not just music history insights, but also personal stories that resonate on a profound level. Tune in to hear Ziggy Marley’s inspiring journey, the stories behind his songs, and how he continues to push the boundaries of music in our ever-evolving cultural landscape. Whether you're a fan of classic rock history, indie music journeys, or the soulful sounds of jazz, this episode is packed with insights that will enrich your understanding of music's role in our lives. Don't miss out on this captivating conversation that exemplifies the essence of 'Takin' a Walk'—a podcast that celebrates the artistry and legacy of music, one step at a time. All iconic guests answer Buzz Knight's Dream Walk question and Ziggy Marley's answer will surprise you. Support the show: https://takinawalk.com/See omnystudio.com/listener for privacy information.

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How Power Lines May Change Your Brain's Social Wiring

social hz wiring change your brain power lines

Play Episode Listen Later Jun 5, 2026 4:45

New research reveals that sixty hertz magnetic fields -- the same frequency as our electrical power grid -- can alter protein function in ways that change social behavior. In this episode, I break down a fascinating study that found power-line frequency magnetic fields changed how worms feed together. The researchers discovered these fields specifically affected membrane proteins in the nervous system, shifting behavior from social to solitary patterns. While the lab exposure was extremely high, the study reveals a biological pathway through which everyday electromagnetic fields could theoretically influence how proteins function in our bodies. In This Episode How sixty hertz magnetic fields altered worm social behavior The specific mechanism affecting membrane proteins What this means for everyday power-frequency exposures Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

Doom Scroll Detox (GUIDED) - Album Release

Thrive with Glenn Harrold

Play Episode Listen Later Jun 5, 2026 27:29 Transcription Available

The scroll trains your brain to hunt, flinch, and reach, then it calls that state “normal.” We slow the whole pattern down and name what's actually happening: variable reward seeking, dopamine spikes, a steady cortisol drip, and a prefrontal cortex that gets nudged offline while the amygdala stays lit. If you've felt that specific screen exhaustion behind the eyes, the kind that makes silence feel unfamiliar, you already know the price of fragmented attention. We also offer a way back that doesn't require more willpower. Sound can reach the nervous system fast, and with the right frequencies the brain can entrain toward coherence. That's the idea behind Vibes AI's Doom Scroll Detox, a seven-track sonic protocol designed to restore attention, regulate stress, and help your mind remember how to rest. We walk through the science-minded frame of neuroplasticity, why 40 Hz gamma sits at the foundation, and how binaural beats can deepen the effect when you use headphones. Then we break down when to reach for each track: Auditory Processing Ease for listening fatigue, ADHD Reset for task initiation and calmer focus, Brain Fog Breakthrough for that dull post-scroll haze, Brain Massage for cognitive overload, Digital Detox for alpha entrainment and a true reset, Neural Biotuning for full-body recalibration, and Think and Breathe for integration through breath plus strategic silence that supports deeper insight. You'll leave with a simple daily plan you can actually follow in the morning, midday, and before sleep. If this helps you reclaim even five minutes of clear attention, subscribe, share this with a friend who's been stuck in the scroll, and leave a review so more people can find a calmer way home.Send us Fan MailSupport the show

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Solfeggio 639 Hz Meditation – Harmonise Relationships, Open Your Heart & Attract Love

Play Episode Listen Later Jun 5, 2026 32:43

Free 639 Hz Solfeggio meditation - Glenn Harrold and Ali Calderwood help you harmonise relationships, deepen self-love, and bring more balance and connection into your life.If you are seeking more harmony in your relationships, struggling with loneliness or self-acceptance, or simply longing for greater love and emotional stability in your life, this powerful free sonic meditation is designed to work at the deepest vibrational level to help you shift those patterns and open your heart.Created by world-leading meditation teacher Glenn Harrold and acclaimed sound healer Ali Calderwood, this is the fourth in their celebrated series of six Solfeggio meditations, each precisely tuned to a specific healing frequency from the ancient Solfeggio musical scale. The 639 Hz frequency is specifically associated with connection, harmony, and love - working directly with your perceptions of relationships and helping you cultivate more balance, openness, and warmth in every area of your life.How This Meditation Will Help You:Harmonise and heal your relationships with othersDeepen your capacity for self-love and self-acceptanceShift the way you interact with the world toward greater harmony and balanceEase feelings of loneliness and emotional instabilityOpen your heart to giving and receiving love more freelyClear energetic blocks around connection and intimacy at a vibrational levelAbout the 639 Hz Frequency: The Solfeggio frequencies are an ancient musical scale with deep roots in sacred music and spiritual tradition. The 639 Hz frequency is the fourth note in this scale and is specifically associated with harmonising relationships and transforming our experience of love. It works by shifting our perceptions and energetic patterns around connection - helping us relate to others and to ourselves with greater compassion, openness, and ease. When combined with guided meditation, its healing potential is amplified significantly.About the Sounds: Ali Calderwood's deeply moving soundscapes have been precisely crafted and tuned to transmit the 639 Hz Solfeggio frequency with care and intention. As with all recordings in this series, the compositions draw on an array of sacred instruments and sounds - working in harmony with the healing frequency to deepen your meditative state and amplify the session's transformative effect. Glenn's skilled vocal delivery and guided meditation layer seamlessly over these soundscapes, creating an immersive and genuinely moving experience.Session Features:Free Solfeggio 639 Hz guided sonic meditationMusic precisely tuned to 639 Hz for relationship harmony and heart openingSacred instruments and healing soundscapes by Ali CalderwoodGlenn Harrold's acclaimed vocal guidance and meditation techniquesPart of a series of six Solfeggio meditations, each tuned to a different healing frequencyAbout Glenn Harrold: Glenn Harrold is one of the world's most successful and trusted hypnotherapists, with over 25 years of experience helping millions of people improve their mental health, sleep, confidence, and overall wellbeing. His recordings are renowned for their clinical effectiveness and exceptional production quality.Love this meditation? Explore Glenn's full library of downloads:Audio Library: rebrand.ly/GHThriveHAUltimate Hypnosis App: rebrand.ly/GHThriveRelax and Sleep Well App: rebrand.ly/GHThriveRSWStay Connected: Follow Glenn on Facebook, Instagram, TikTok, or visit his Official Website for daily inspiration and new releases.Please do not listen to this recording while driving or operating machinery. This recording is not a substitute for professional medical or psychological treatment.

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You Can't Give Soup to the Whole Brain | Jay Gunkelman | NeuroNoodle Neurofeedback Podcast

Play Episode Listen Later Jun 4, 2026 60:19

Jay Gunkelman has read more than half a million brain scans. In this episode he and host Pete Jansons open a real before-and-after case and walk it frame by frame — eyes open and eyes closed, pre-treatment and post-treatment — so you can watch what changed. Going in: fast alpha racing at 11.5 Hz, 23 Hz beta spindling at the vertex driving insomnia, a slow edge of alpha buried in the left temporal lobe pointing at local ischemia and possible old head injury, and right-frontal beta carrying a depressive signature. Coming out: alpha stabilized toward 10 Hz, frontal beta down, left-temporal function dramatically improved. Then the bigger story — the refractory-psychiatry work Jay did with Ron Swatzyna and Nash Boutros, where roughly half of medication failures turned out to have a focal EEG biomarker that no pill could fix. As Jay puts it: you can't give soup to the whole brain.

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Play Episode Listen Later Jun 4, 2026 533:03

Journey into sleep in a Healing River Forest. This binaural beats soundscape consists of peaceful ambient forest music featuring a native flute melody, a gentle river sound, and 8 Hz theta wave binaural beats for meditation, relaxation, and deep sleep. Immerse yourself in the sound of a tranquil river forest while you get settled into bed. The 8+ hours of music and binaural beats will continue uninterrupted, so you can stay asleep all night. For a version of this episode without binaural beats, check out the ⁠⁠⁠⁠8 Hour Sleep Music⁠⁠⁠⁠ podcast. Thank you and sleep well!

Double Tap 464 – Nimble

Firearms Radio Network (All Shows)

Play Episode Listen Later Jun 2, 2026

Double Tap - Ep 464 This episode of Double Tap is brought to you by: Gideon Optics (Code: WLSISLIFE) Night Fision (Code: WLSISLIFE) Rost Martin (Code: WLSISLIFE) Flatline Fiber Co (Code: WLS15) Foxtrot Mike (Code: WLSISLIFE) Text Dear WLS or Reviews +1 743 500 2171 Public Show Titles GOA GOALS Aug 1-2 in Iowa. https://goals.goa.org/ GunCon.net Tickets on sale now. Use code AGENCY171 DEAR WLS Question from JackB from TX On double tap 451 Nick said he would know he was successful when he ordered a custom double rifle. I always say something similar, which is if I win the lottery I'm telling no one, but there would be signs. Like the sudden acquisition of a custom double rifle.My first question is, if the cast were going to order custom double rifles, what caliber would you choose? If Shawn wants to make H&H invent a 171 WLS for him, that's dope, but what would your second choice be? Followup question to help me choose my caliber. If I got one, I'd want one of the classic elephant gun Calibers. I love 45-70 but it just wouldn seem right. So of those old safari calibers which ones have milder recoil and are still somewhat commercially available? -JackB Question from Jaqin Ta'Sox from Connecticut From: Jaqin Ta'Sox: Dear WLS In double tap 451 at 19:58 minutes, someone asks about deadly force against a bull horn to the ear. I understand an ass whoopin is absolutely due in that situation, BUT I find it kind of interesting. Like Jerambey said, it is permanent bodily harm. Just like if someone tries to use a laser pointer to blind you, deadly force is a go, but not for permanent hearing loss? Question from Anonymous Coward from Texas What is the best way to form 1 a homemade suppressor? Looking at mostly finger printing that can be reused. But also looking at design requirements like length and such. Question from Duke from Texas Duke of CrudeSo I was crusing Armslist looking for some travel guns and came across a mosin nagant for $495. I had an epiphany over that post. What if the mosin was worth the same but inflation was just so terrible that now a $95 dollar gun in 2002 is $495 dollars today? Just some food for thought before AI takes over. Thanks for the laughs! Duke Question from Anonymous Coward from Washington Shawn has been on a geeky mission for a while. I am wondering if he can geek out and make a universal shopping cart that using his web crawler A/I skills could check multiple sites to see if products are available from one source. Example I am ordering some area 419 products, a few CZ mags and a kydex cheek riser. I am bound to pay shipping from 3 separate sites. I am trying to see if there is one source carrying what I need. Keep up the good work Shawn getting deeper back into his tech roots but staying a gun guy at heart is bringing rewards for all of us. GUN INDUSTRY NEWS THEFIREARMBLOG.COM Edgar Sherman Design Notch Precision Shooting Bag Shooting bags don't exactly get a lot of innovation press.The category has been dominated by the same handful of designs for years, and for good reason: a well-executed bag filled with the right material and wrapped in grippy fabric solves most problems a precision shooter will ever encounter on a stage or in the field.New entrants that bring something genuinely different to that conversation are rare enough to be worth paying attention to when they show up. Edgar Sherman Design released the Notch Precision Shooting Bag, a convertible front/rear support bag featuring a four-way stretch woven core that deforms for micro-adjustments, wrapped in a Cordura laminate exoskeleton with MOLLE cutouts. It incorporates a V-shaped notch formed by tie-down loops for rifle stock capture and lateral stability, PVC-coated grip surfaces, an elastic retention loop, and Spexlite 5125 fill. The bag is made in the USA, Berry compliant on select versions, weighs 8.5 oz, and measures 3 × 4.5 × 8.75 inches. RUGER INTRODUCES READYDOT MICRO REFLEX SIGHT SYSTEM FOR LCP MAX PISTOL Ruger ReadyDot Micro Reflex Sight System for LCP MAX Pistol Sturm, Ruger & Company, Inc. introduced the Ruger ReadyDot micro reflex sight system for the LCP MAX pistol, featuring a fiber-illuminated reticle designed for battery-less operation at concealed carry ranges. The sight enables shooters to keep both eyes open while maintaining fast target acquisition. Sturm, Ruger & Co. introduced the ReadyDot, a micro reflex sight designed specifically for the LCP MAX pistol. The system uses a fiber-illuminated reticle for battery-less operation at typical concealed carry ranges, enabling both-eyes-open target focus and faster acquisition than traditional iron sights. It ships with a dedicated holster that fully covers the trigger guard; not compatible with LCP MAX pistols equipped with a loaded chamber indicator. SPARTAN PRECISION EQUIPMENT INTRODUCES THE JAVELIN LITE BIPOD SERIES: ULTRALIGHT STABILITY FOR SERIOUS HUNTERS Spartan Precision Equipment Javelin Lite Bipod Series Spartan Precision Equipment launches the Javelin Lite and Javelin Lite TL Bipods, ultralight shooting supports weighing 5.3 and 6.3 ounces respectively. Both models feature premium materials, adjustable traverse and cant, and are priced at $100 and $170 MSRP without adapters. Spartan Precision Equipment introduced the Javelin Lite and Javelin Lite TL bipods on May 28, 2026. The series uses hard-anodized 7075-T7351 aluminum and multi-layered carbon fiber construction with steel tips and tethered synthetic boots. Both models offer 30° traverse and 15° cant adjustment for stability on uneven terrain. THEFIREARMBLOG.COM ATN Blaze Series Gen 6 Thermal Monoculars ATN Corp has expanded its Blaze Series thermal monocular lineup with the launch of four Gen 6 models, anchored by a new flagship unit and spanning price points from under $500 to just under $5,000.The full Gen 6 lineup consists of the BlazeSeeker 6 210, BlazeTrek 6 325, BlazeHunter 650 LRF, and the new top-of-the-line BlazeHunter XD LRF.ATN says all four models share the same 6th Generation thermal engine, SharpIR AI-enhanced imaging, 50 Hz refresh rate, OLED display, Hot Point Tracking, six color palettes, IP67 housing, onboard recording, and ATN Connect 6 Wi-Fi pairing. ATN releases four Gen 6 thermal monocular models sharing a common 6th Generation thermal engine, SharpIR AI-enhanced imaging, 50 Hz refresh rate, OLED display, Hot Point Tracking, six color palettes, IP67 housing, onboard recording, and ATN Connect 6 Wi-Fi. Models range from entry-level to flagship with varying sensor resolutions (256×192 to 1,280×1,024), NETD sensitivities (≤20mK to sub-15mK), detection ranges, magnification, LRF options, and battery life. THEFIREARMBLOG.COM FN Herstal Acquires Accuracy International Accuracy International, renowned UK-based precision rifle manufacturer, is set to become part of the FN Browning Group.Responsible for iconic designs such as the Arctic Warfare, AWM, and AXMC, the company was founded in 1978.The acquisition will see Accuracy International continue to operate under its own brand within FN Browning Group and it comes at an interesting time, as the British military seeks to overhaul its small arms inventory with procurements of new service rifles, machine guns and precision rifles planned into the 2030s.Accuracy International @ TFB: New Rifles From Accuracy International Accuracy International AX-SR Rifle for Australia's Snipers Accuracy International's Latest Rifles Displayed at DSEI 2021The deal gives FN a strong foothold in a market segment it has not previously engaged with – long-range precision rifles. FN Browning Group announced the acquisition of UK-based precision rifle manufacturer Accuracy International on May 28, 2026. Accuracy International, founded in 1978 and employing around 100 staff, will continue to operate under its own brand. The deal is subject to regulatory approval; no financial terms were disclosed. GUNS.COM Tristar Arms Inc. Raptor II 20 Gauge Semi-Automatic Shotgun TriStar Raptor II 20 Gauge Semi-Auto 3" 5+1 24" Mossy Oak Country Roots Vent Rib Steel Barrel & Receiver, Fixed Mossy Oak Country Roots Synthetic Stock The Raptor II Semi-Automatic shotgun boasting a new aged and totally redesigned stock and forearm, the Raptor II is sleek and comfortable to shoot…. The Tristar Raptor II is a 20 GA semi-automatic shotgun with a 24″ vent-rib steel barrel, 3″ chamber, 5+1 capacity, and 6.7 lb weight. It features a steel receiver, fiber optic front sight, redesigned Mossy Oak Country Roots synthetic stock and forearm, oversized operating handle and bolt release, softer recoil pad, and includes three choke tubes, 5-round magazine, and shot plug. THEFIREARMBLOG.COM VKTR Industries VK1 Complete Lower (Ambidextrous) Now Available Standalone VKTR Industries is making its patented ambidextrous lower receivers available as stand-alone products for the first time, opening them up to shooters who previously could only get one by purchasing a complete VKTR rifle.The VK1 Complete Lower is now available to dealers, distributors, and the law enforcement market. VKTR Industries has opened its VK1 Complete Lower (Ambidextrous) for standalone sales for the first time. The serialized lower was previously only sold as part of complete VKTR rifles. It features a patented ambidextrous control suite, is compatible with all small-frame AR calibers, and ships with a Hiperfire trigger and Magpul components. ATHLON OUTDOORS EXCLUSIVE FIREARM UPDATES, REVIEWS & NEWS Off Grid Operator Ti 5.56 Suppressor The Operator TI Suppressor is specialized for the 5.56 platform. A precision Titanium 5.56 suppressor built with additive manufacturing. The Off Grid Operator Ti is a 5....

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What Your Brain Does Before Greatness | Dr. Izzy Justice on Flow, Fear & Peak Performance (Part 1)

Evoke Greatness Podcast

Play Episode Listen Later Jun 2, 2026 32:38 Transcription Available

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VFD and Controller Settings Does It Matter ??? And Kevin Loves His Neighbors Episode - 522 Video

Advanced Refrigeration Podcast

Play Episode Listen Later Jun 1, 2026 37:48

VFD and Controller Settings Does It Matter ??? And Kevin Loves His Neighbors Episode - 522Stop the VFD Hunt: Fixing 0–10V Scaling, Ramps, and Skip Frequencies (Advanced Refrigeration Podcast)Brett Wetzel and Kevin Compass kick off the Advanced Refrigeration Podcast with early-morning chaos, then dive into a common rack problem: VFD and controller settings that don't match, causing suction oscillation and valve hunting. Using an E3/E2-style controller and a Danfoss drive example, they explain correcting the 0–10V analog output scaling so the drive responds immediately (often setting the low end to about 5V and matching minimum reference), aligning minimum/maximum references and speed limits (e.g., typical low-speed limits around 28–30 Hz and high limits around 60 Hz), and avoiding overly aggressive ramp rates that worsen overshoot. They also discuss using skip/bypass frequencies to eliminate resonance that shakes racks, breaks clamps, and damages piping, noting common troublesome ranges seen on certain compressors.

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VFD and Controller Settings Does It Matter ??? And Kevin Loves His Neighbors Episode - 522 Audio

Advanced Refrigeration Podcast

Play Episode Listen Later Jun 1, 2026 37:48

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fall delta wave white noise noises hz fall asleep ad free binaural beats sleep music

Play Episode Listen Later Jun 1, 2026 532:15

Fall asleep to the soothing sound of white noise with peaceful ambient music in 432 Hz. This combination will block out the noises that keep you up at night, while creating a relaxing background with calming music. We've blended in 1 Hz delta wave binaural beats to guide your brain in the deepest levels of relaxation. For a version of this episode without binaural beats, check out the ⁠⁠⁠8 Hour Sleep Music⁠⁠⁠ podcast. Thank you and sleep well!

How Hypnotherapy & Subconscious Healing Cured Leukemia with Peter McLaughlin

What Happens in Vagus

Play Episode Listen Later May 29, 2026 56:50

What if your body already has everything it needs to heal and unresolved trauma is the only thing standing in the way?In this episode of What Happens in Vagus, Dr. Stephanie Canestraro sits down with Peter McLaughlin, a certified hypnotherapist who put his chronic lymphocytic leukemia into remission in 2003, without chemotherapy. Peter's journey began in the wreckage of a life running on pure adrenaline: a demanding Wall Street career, a two-hour daily commute, three young children, and an office one block from Ground Zero on September 11th. When his body finally gave out, his leukemia diagnosis became the catalyst that set him on a path toward subconscious healing, hypnotherapy, and a complete understanding of the mind-body connection.Together, Peter and Dr. Stephanie explore one of the most overlooked truths in chronic illness: that emotional trauma, including small, seemingly insignificant moments from childhood, gets stored in the subconscious mind and continues to drive the body's stress response for decades. Because the subconscious has no concept of time, a humiliating moment in third grade or a cry left unanswered in a crib can still be activating a fight-or-flight response in your body today. This chronic activation of the autonomic nervous system suppresses immunity, disrupts hormones, stalls digestion, and creates the environment in which disease takes root.Dr. Stephanie also shares her own healing journey from a Lyme disease and Bartonella infection that attacked her nervous system and went undiagnosed for over a decade, to the functional medicine interventions, precious metal IVs, and reconnection with her body's inner wisdom that finally brought her back. Together they connect the dots between nervous system dysregulation, frequency medicine, and the extraordinary capacity of the human body to heal when given the right tools.✦ In this episode:• How chronic stress and emotional trauma directly contribute to serious illness• Why childhood events your conscious mind has "forgotten" are still running your nervous system• What hypnotherapy actually does and how it clears emotional toxins from the subconscious• Why you cannot heal in fight-or-flight mode and how to shift into rest-and-digest• How cortisol signals your body to hold onto fat• 432 Hz healing music, binaural beats, and frequencies that regulate the nervous system• Applied kinesiology, muscle testing, and pendulum work as tools for inner wisdom• Peter's work with professional athletes and how childhood trauma shows up on the field• Precious metals (gold, silver, platinum) and their role in healing chronic infection• The placebo effect as proof of the mind's power to heal the body✦ Find Peter McLaughlin:Website & healing tracks: blueskyhypnosis.comYouTube: @blueskyhypnosis✦ About Dr. Stephanie Canestraro:Dr. Stephanie is a chiropractor, functional medicine practitioner, and chronic illness survivor. Her practice and this podcast are rooted in one belief: that the body is designed to heal, and that the vagus nerve is the master key to making that happen.Let us know your thoughts on this episode hereFor any further information, feel free to email us at info@vagusclinic.com. Our team is happy to help. We offer 20-minute complimentary health calls, and you can sign up for one here.

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The Cingulate Doesn't Sleep: Deeper Than Concussion | NeuroNoodle Neurofeedback Therapy Podcast

Play Episode Listen Later May 28, 2026 63:58

Jay Gunkelman goes in BLIND on Case 9 — an 18-year-old's eyes-open EEG, age only, no history. Joshua Moore bet his car on a left posterior concussion. Jay sees something deeper: a thalamocortical dysrhythmia at the anterior cingulate, slow and fast rhythms coupled together, beta spindling above 30 Hz that most databases can't even see. Left-side mu disconnect shutting down the language hemisphere. Posterior insula, left side. After half a million EEGs, Jay's verdict isn't a diagnosis — it's a phenotype that tells you how to treat it, not what to call it.

How Power Line Frequency Can Change Brain Function: New Worm Study Reveals Hidden EMF Effects

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Play Episode Listen Later May 28, 2026 4:53

A groundbreaking study shows that sixty hertz magnetic fields -- the same frequency as our electrical power grid -- can alter protein function and change behavior in living organisms. Researchers exposed mutant worms to power-line frequency magnetic fields and discovered their social feeding behavior shifted to solitary patterns. This demonstrates that the electromagnetic fields surrounding us daily can directly affect how proteins function in nervous systems. In This Episode How sixty hertz magnetic fields altered worm feeding behavior Why this frequency matters for human health What protein disruption means for cellular communication Simple steps to reduce daily magnetic field exposure Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

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Play Episode Listen Later May 28, 2026 534:59

Relax to the comforting sound of a heavy rainstorm from inside a parked car. The raindrops hitting the windshield and roof create a soothing rhythm that is perfect for relaxation, meditation, or blocking out noise while reading or studying. We've blended in alpha wave binaural beats at 11 Hz to enhance focus and create a sense of calm, perfect for reducing stress at the end of a long day. For a version of this episode without binaural beats, check out the ⁠⁠8 Hour Sleep Music⁠⁠ podcast. Thank you and sleep well!

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HPR4648: Simple Podcasting - Episode 4 - Audio Analysis Fun

Hacker Public Radio

Play Episode Listen Later May 27, 2026

This show has been flagged as Clean by the host. 01 This is the fourth episode in a four part series on simple podcasting. 02 Introduction In this episode we will discuss alternatives to Audacity when it comes to analyzing audio spectrums to find the sources of unwanted noise. I previously promised some gratuitous hackery, and we will get into that in this episode. 03 Recall that with Audacity you first import the audio file, then select the part of the audio you wish to analyze (or ctrl-A for all), and then select analyze > plot spectrum. This is in fact the only feature of Audacity that I know how to use. I am definitely not an audio expert. I do however have some background in processing and analyzing other signals, so some of the basics are familiar to me. 04 We can accomplish the same thing that Audacity does in this instance provided we can do the following. First, we need to get the data out of the audio file and into a form which we can import into other software. Second, we need to perform certain mathematical operations on this data. Finally, we need to be able to plot the results of these calculations on a chart. -------------------- 05 Fourier Transforms First though, we need a bit of mathematical background. What Audacity is doing when it shows a plot of frequency versus amplitude is that it is showing the results of a Fourier Transform. A Fourier Transforms is a mathematical operation that converts the time domain into the frequency domain. Any complex signal, audio or otherwise, can be broken down into a collection of sine waves of various frequencies. For example, a simple square wave signal of say 100 hertz can be represented as a sine wave of frequency 100 hertz plus a collection of higher frequency sine waves which add together to give the sharp corners. 06 A Fourier Transform finds these sine waves and sorts them out into separate bins, with each bin representing an individual frequency or a collection of closely related frequencies, depending on how fine grained the sorting is. 07 This is exactly what we want when we are trying to figure out how to filter out noise. Recall that earlier in this series we had to solve a problem with a high pitched background noise which was originating in my cheap microphone. Analyzing this audio by frequency showed that it was a series of individual tones at 1 kHz intervals. We were then able to use filters targeted at those frequencies to get rid of that noise. 08 There are several optimized versions of the Fourier Transform algorithm. A very common one is the Fast Fourier Transform, common abbreviated to just "FFT". This is so common that the term "FFT" is often used to simply mean any Fourier Transform even though this is not technically correct. 09 Typical FFT algorithms require that the number of data samples is exactly a power of two. So the number of samples we need may be something like 4096, 8192, or 65536, to give a few random examples. When we transform from the time domain to the frequency domain, each sample becomes a single frequency "bin". So the more samples we have, the finer the resolution we get in terms of frequency. 10 If we assume we are dealing with flac files recorded at a 44.1 kHz sample rate, that is, 44100 samples per second, then if we have 32768 samples, each "bin" represents slightly more than 1 hertz. If we have 65536 samples, then each "bin" represents a fraction of a hertz. For our purposes we will pick 65536 samples. That means we need 1.48 seconds of data. For simplicity's sake we will record at least 2 seconds of data and then just discard the samples that we don't need. 11 There is a further complication here. Fourier Transforms normally work with complex numbers. Recall from your school days that as well as integers and real numbers there are complex numbers. Each complex number consists of two parts, a real component and an imaginary component. I won't go into the details of this, just accept that each sample needs to have two components. Fortunately, if we don't have complex number data we can just set the imaginary component to zero and use that. This is enough talking about the theory, let's get into the practical details. -------------------- 12 Extracting Data from Audio Files First we will look at how to extract the data from the audio files. Fortunately, one of the programs which we have already been using can do this. To do this we will use Sox. I am not aware of an equivalent feature in ffmpeg. 13 Sox calls itself "SoX - Sound eXchange, the Swiss Army knife of audio manipulation" Sox is free software and is licensed under the GPLV2 or later. In this case we want to use a feature which allows us to convert a binary audio signal file to a text data file. To convert the file to text data we just give the output file a ".dat" file extension and Sox will do this for us. 14 Here is a command example. sox inputfile.flac tdata.dat 15 This gives us a file in the following format, assuming this is a mono audio recording. ; Sample Rate 44100 ; Channels 1 0 0.045471191406 2.2675737e-05 0.055023193359 4.5351474e-05 0.048217773438 6.8027211e-05 0.053192138672 etc. The first line states the sample frequency The second line states that the data is for channel 1. The data starts on the third line. Column 1 is the time in seconds. Column 2 is the waveform data point. 16 To analyze the data we want a subset of these samples. When we convert from the time domain to the frequency domain, our resolution will be determined by the number of samples. We would like therefore to have at least as many samples as the sampling rate. We also want the samples size to be an even multiple of two. The number of points we want to have is equal to the next even multiple of two above our chosen sampling rate, 44,100 Hz. This number would be 65536. 17 To extract this data from the file we can do the following. tail tdata.dat -n+3 | head -n65536 | awk '{printf "%sn", $2}' > tdata.csv 18 We use tail to skip over the first three lines. We use head to take the next 65536 lines and discard the rest. We use awk to extract the second column which we will use as the real component. We now have this data as a csv file in one column. -------------------- 19 Analyzing the Data To analyze the data we need software which can calculate FFTs. I will now show two examples of this, a very simple case using Libre Office Calc, and a more complex but more complete one using GNU Octave. 20 Using Libre Office We can do fourier analysis and plot charts using Libre Office. Take the csv file of data that we previously created. For this example I used data from a recording of silence so that I could see what internal noise was being generated by the headset. Open the csv file and import it into Libre Office Calc. 21 Now select all 65536 rows of column A. The Fourier function will automatically fill the imaginary component with zeros if we don't provide an column of imaginary numbers, so we don't need to provide a column of zeros. Then select Data > Statistics > Fourier Analysis. 22 A window will open allowing you to select various parameters. For Results to:, enter "D1". Grouped by Columns. Select OK. 23 New data should now appear starting in cell D1. The first line will say " Fourier Transform" The second line will state the input range. The third line will state "Real" in column D, and "Imaginary" in column E. The data will start in row 4. 24 For our simple example we will ignore the imaginary data and just use the real data, which will form our Y component when we plot it on a chart. We now need to create the X axis data. 25 Each cell is a "bin" of frequencies. Each cell therefore represents (sample frequency) / (Number of samples) Hz. 26 To create the X axis data showing frequency, enter the following formula in to column C to the left of each D column number. =((44100/65536) * (ROW() - 4) 27 We can now create an XY chart showing the frequency analysis. You may need to exclude the first couple of dozen rows as very low frequency components which cannot be heard may otherwise overwhelm the data we are interested in. Also, you only need the first half of the chart. The FFT mirrors the data from the first half of the array into the second half. 28 Because characterizing a sine wave requires a minimum of 2 points, although we have a sample frequency of 44.1 kHz, we really only have sound waves up to a maximum of half that, or 22.05 kHz. Create the chart with lines only. If you followed the above instructions, you should see something resembling what we saw in Audacity, except with each bin more sharply defined. 29 In the data that I had from a recording of unfiltered headset noise, I could see a distinct noise spike every 1000 hertz. 30 However, we have taken several shortcuts. First, the imaginary component of the data was ignored. Second, the magnitude (that is, Y axis) has both positive and negative peaks. Third, the data is not scaled to dB sound units, so we just have a relative measure. However, that by itself is enough to tell us where the frequencies are that we need to construct filters to deal with. 31 We could refine this spreadsheet a bit more to deal with the above issues, but I think we have demonstrated the basic principle, and working with a spreadsheet can be a bit awkward. However, if working with a spreadsheet is what you want to do, then you can add more columns and more formulae to improve on it. -------------------- 32 Other Analysis Software I will go on to GNU Octave in a moment, but I want to get a few other alternatives out of the way first. I won't go into any detail on them other than to point them out to people who want to have a go at trying these themselves. 33 Grace There is math and plotting software called Grace. This is free software, released under the GPL V2. According to the documentation, it seems to have the features we need, including an FFT function. However, I could not get it to work properly on Ubuntu 24.04. I could not get it to load a data file and plot data. 34 The error messages were vague and unhelpful. The file navigation system didn't work. There was no obvious path to success, and if it isn't easy to use then there is no point to it. This is fairly old software, designed for X Window and Motif. I gave up on it as not suitable for this series as I am looking for some fairly low effort things for people to try themselves. If someone else can get it to work on their PC, perhaps they could do an HPR episode on this themselves. 35 Command Line FFT Packages There are several command line FFT packages. They will read data from std in or from a file and output the FFT. However, these are not packaged for Ubuntu and appear to be distributed as C source code which you would download and compile. You can experiment with those if you wish, but I felt they were a bit out of scope for discussion here as I am looking at common tools that are ready to use. 36 Here are two examples. One is Command-line Fast Fourier Transform utility https://github.com/gregfjohnson/fft Another is cli-fft https://github.com/jonolafur/cli-fft 37 I have not tried these and cannot say whether they are any good or not. Similarly, there are a number of FFT packages that are libraries for languages such as Python. If you want to take the time to write a short program to go with them, you can create a dedicated FFT command line program. However, I felt that this too was out of scope for what I was trying to do here. 38 Doing it the Hard Way Hypothetically, it may be possible to write an FFT function in bash bc, which is the arbitrary precision calculator language which is part of the standard shell package. I say hypothetically, because I have not tried it. I think it would be an interesting challenge, but I don't have the time at the moment to try it. If anyone feels motivated to give it a try, they're welcome to give it a go and then do a podcast episode on it. -------------------- 39 GNU Octave We have seen that as well as using features built into Audacity to analyze the audio spectrum to see the frequencies of undesired noises, we were able to do the same using a Libre Office spreadsheet. 40 Now we'll look at another bit of software, GNU Octave. GNU Octave is free software, licensed under the GPL V3 or later. It is a mathematical scripting language, very similar to Matlab. People use it for mathematical, engineering, and scientific work. It can be found in most Linux distros and is available for some other operating systems as well. 41 Octave has two features built in that we need for our purposes. It does FFTs, and it has a plotting system built in to produce graphs. -------------------- 42 We will take the same audio test file that we used with Audacity and Libre Office and use it here as well. The bash script to convert the flac file to text data is essentially the same, with the exception that file extension on the output file as is ".txt" instead of ".csv". This latter change was an arbitrary decision on my part. 43 As a quick review, this bash script uses sox to convert a flac file to a text ".dat" file. Then it uses tail, head, and awk to extract the first 65536 rows of data, skipping over the header information and ignoring the first column of time data. This script will be in the show notes. -------------------- #!/bin/bash # This version is for use with the GNU Octave script. sox hsnoisemono.flac hsnoisemono.dat tail hsnoisemono.dat -n+3 | head -n65536 | awk '{printf "%sn", $2}' > hsnoisemono.txt -------------------- 44 We now have a 1.1 MB file containing 65536 samples of data in text format. Now the next thing we need to do is to create a short Octave script file. I will just give a brief overview of the script here, the full script will be in the show notes. 45 I put the script in a file called "octavespectrum.m". I have never used Octave before now, but the convention seems to be to give the script a ".m" ending. The "she-bang" line is "#!/usr/bin/env octave". If you make the file executable you can run it like any other script, or you can type "octave" and then the name of the script to run. 46 I won't read out the script in detail, as that would be too hard to following along in a podcast. However, I pass several arguments to the script including the name of the data file, and then two integers that I use to limit the display area in the Y and X axes so I can have the chart focus on the areas of interest that I want to see. I also pass a string containing the name of the graphic file that I want the chart exported to. This was an arbitrary decision on my part and you can just hard code these values in if that is what you want to do. 47 The arguments are accessed by calling the "args()" function, which returns an array of strings. Next, it reads in the specified file using the "dlmread()" function. This reads all of the data into an array. 48 Next, it performs a hamming windowing function on the data. I'll explain that briefly. It is standard practice when doing FFT signal processing to "window" the signal. Since the signal sample is of finite length, it will stop at each end of the array. 49 Unless you were lucky enough for this to happen exactly at a zero crossing, this would produced an abrupt transition in the data which looks like "noise" to the FFT. The solution is to taper the signal off gradually towards the ends so that when it gets cut off the signal is fairly small at that point anyway. There are a variety of different windowing functions, but "hamming" seems to be the most commonly used. 50 Next, it does an FFT using the "fft()" function. 51 This gives us real and imaginary outputs. These are combined by summing the squares of each corresponding real and imaginary element and then taking the square root of each and storing that in a new array. This gives a single array of the same length as the originals, but combining the two output components. If anyone wants to tell me that this isn't how things are done in the audio world, they're welcome to make an HPR episode telling us all the right way to do things. 52 Then it does some scaling and selection of subsets of data so we get the X axis in hertz and just the number of samples that we wish to look at. If you are looking at the script, the thing to keep in mind is that Octave will work on entire arrays of data in a single operation. You don't need to write explicit loops for this. The looping is handled implicitly as part of the syntax. 53 It also does various other things that make the chart easier to read. The comments in the script describe these in more detail. Since this is a script it's easier to add these sorts of refinements than is the case for a spreadsheet so I have made the effort to add them. Finally it calls the "plot()" function. If an output graphics file name was provided, it also creates a PNG file containing the same image using the "saveas" function. 54 We now see the chart, and it looks more or less as expected. However, this chart is interactive. You can zoom and pan the data, something that you can't do with either Audacity or Libre Office. The chart window doesn't have a function for exporting the resulting chart to a "png" file, it will only save to an ".ofig" file. The ofig file is not a standard graphics file, it is a serialization of the chart data that can only be looked at using the Octave chart viewer. 55 Alternatively, you can just take a screenshot of the chart after you have interactively zoomed and panned to a point of interest. At the bottom left of the chart window is a pair of x-y coordinates which tell you the current position of the mouse pointer in chart units. This is very handy as it can be used to get the exact (or close to exact) frequency of each noise spike. 56 The Y axis is not scaled in any particular units such as dB, as I'm not sure how to do that according to audio industry conventions. On the other hand, I'm not sure that it's really necessary, as I don't know what dB means in tangible terms anyway. It does show relative sizes, so it helps to determine whether you have one noise frequency or multiple frequencies to worry about. 57 If anyone is familiar with how to scale the raw data from a flac file as exported by Sox into dB units according to audio industry convention, then they are welcome to create an HPR episode telling us how to do it. -------------------- 58 Comments on GNU Octave I had never used GNU Octave before this, although I had heard of it and it is quite a significant piece of software for a specific segment of users. 59 The syntax is a bit odd especially in how it deals with array operations, but I was able to google various examples and answers to eventually get this working. A few other peculiarities are that it uses the percent "%" character to denote a comment, and leaving out the semi-colon at the end of the line causes it to print the answer to the console after executing the statement. 60 The GNU Octave solution was harder to get working than the Libre Office method. However, once it was working it is easier to use repeatedly. If I were to want to automatically generate audio files with different filtering or other options and wanted to script the creation of a large number of images showing the results, this would be the way to do it. 61 When your run the Octave script you may get a warning which says something like "QSocketNotifier: Can only be used with threads started with QThread". This is apparently a routine warning message from the Qt graphics system which has no real significance in this context and can be ignored for our purposes. -------------------- 62 We now have a bash script which will use sox to extract the data from a flac file, and a GNU Octave script which can be used to display the resulting frequency spectrum. This does more or less the same thing as "Plot Spectrum" does in Audacity, but allows for zooming and panning to get a more detailed look at the data. 63 However it doesn't give you an absolute reading of the sound levels in dB, something that Audacity does provide. What I wanted it for though was to find the frequencies of the audible noise in the signal, something that it does quite well. -------------------- #!/usr/bin/env octave % Perform an FFT on the data in a file and plot the results. % ====================================================================== % The sampling frequency. This must be changed to accommodate the % actual sampling frequency if it was something else. samplefreq = 44100; % Thickness of line on plot. linewidth = 2; % ====================================================================== % The name of the data file is passed as a argument. args = argv(); if length(args) < 3 quit endif % File name. fname = args{1}; % Clip the peak values. peakclip = str2double(args{2}); % How much data to show, in kHz. rbound = str2double(args{3}) * 1000; % The optional file name to save a chart image to. if length(args) > 3 chartfile = args{4}; else chartfile = ""; endif % ====================================================================== % Read the data in from the file. sampledata = dlmread(fname); % Number of samples. samplecount = length(sampledata); % ====================================================================== % Window the data. This helps deal with the discontinuity of data at % each end of the array and the effects this has on introducing apparent % noise into the signal. windoweddata = (hamming(samplecount) .* sampledata); % ====================================================================== % Do the actual FFT. fftresults = fft(windoweddata); % Get real component. r = real(fftresults); % Get the imaginary component. i = imag(fftresults); % Combine the real and imaginary. In order to square each element of each % array, we must use the ".^" operator, not just "^". rfft = sqrt(r.^2 + i.^2); realfft = rfft(1:samplecount); % ====================================================================== % Scale factor for frequency. fscale = samplefreq / samplecount; % X axis scale, scaled to frequency. f = (0:samplefreq/2) * fscale; % Take a subset of the data if specified. rbound has to be re-scaled % from kHz to array increments. freq = f(1:min(rbound / fscale,length(f))); % y axis. We take the absolute value and then limit (clip) the peaks % so that a few large peaks don't obscure the smaller ones. mag = min(abs(realfft(1: length(freq))), peakclip); % Plot the results. figure; whandle = plot(freq, mag, 'LineWidth', linewidth); title(["Audio Spectrum of ", fname]); xlabel("Frequency (Hz)"); ylabel("Unscaled Magnitude"); grid on; % If the appropriate optional argument was specified, save the chart % to a file of that name. if length(chartfile) > 4 saveas(gcf, chartfile, "png"); endif % Need this so the plot window stays open. waitfor(whandle); % ====================================================================== -------------------- This is the shell script used with the above Octave script. The arguments are 1 - the file name for the input data file. 2 - The value to clip the peaks at. 3 - The upper frequency bound in kHz. 4 - The output graphics file name. #!/bin/bash octave octavespectrum.m hsnoisemono.txt 10 12 hsnoisemono.png -------------------- 64 Episode Conclusion In this episode we covered the following topics. What Fourier transforms are. Extracting data from audio files using Sox. Analyzing the data using Libre Office. Analyzing the data using GNU Octave. And, several alternative analysis methods. 65 Series Conclusion This is the end of a four part series on simple podcasting. In the first episode, we covered a simple podcast recording method. This first episode is all you really need to make a podcast. 66 In the second episode we covered basic filtering and a few other simple topics. The methods discussed in that episode provide basic improvements to your audio if you feel the need for it. 67 In the third episode we covered how to analyze audio noise problems using Audacity and additional filtering techniques to deal with specific problems that we may find. We also covered command line recording, playback, and getting information about an audio recording. 68 In the fourth episode we engaged in a bit of gratuitous hackery for the fun of it and showed how to use alternative software methods to analyze audio signals. 69 I hope that this series has been both useful and entertaining and that you will use the knowledge gained here to create and submit your own HPR podcast episodes. -------------------- -------------------- Provide feedback on this episode.

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Flow Ep. 53: White House Shooter, 440 Hz & Carter Braxton

Badlands Media

Play Episode Listen Later May 26, 2026 177:52

Episode 53 of Flow drops on Memorial Day weekend with Cam Cooksey navigating a live breaking news situation and tying it all back to God's frequency. A shooter identified as William Sexton, a trans-Democrat activist angry about the US-Iran peace deal, fires on a White House checkpoint and is neutralized by Secret Service. Cam reads the unfolding reports live and lands on a false flag theory with MK Ultra overtones. The 440 Hz versus 432 Hz frequency debate sparks from a chat comment, with Cam connecting 440 standardization to the day Hitler invaded Poland, Havana Syndrome, and weaponized sound. Cam shares his reaction to finally watching Vibes 2 by Rise Attire, reading the two closing quotes from the film live, including the JRR Tolkien quote extended by Rise Attire themselves. Kyle Busch's sudden death is noted with questions about cause. Memorial Day is honored with gratitude for those who gave everything. Double Americans of the Week: Carter Braxton and George Clymer, both Declaration signers who lost fortunes and kept their word anyway.

Play Episode Listen Later May 25, 2026 535:10

Fall asleep at sea with this relaxing sleep music soundscape, consisting of peaceful ambient harp melodies, calm ocean waves, and 3 Hz delta wave binaural beats for deep healing sleep. The sound of the waves creates a natural white noise effect to help block out distracting sounds that may keep you up at night. The sleep music adds warmth and creates a serene atmosphere, while the delta waves guide your brain into the deepest stages of restorative sleep. For a version of this episode without binaural beats, check out the ⁠8 Hour Sleep Music⁠ podcast. Thank you and sleep well! -- ✨ ⁠⁠⁠⁠⁠⁠⁠Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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Episode 84 – Follow Me Around

Radiohead Heads Radio

Play Episode Listen Later May 25, 2026 127:45

The day has finally arrived: the Kid A Mnesia Exhibition is now IRL. We experienced the Motion Picture House right here in Brooklyn NY with our immersive theater expert and friend of the show, Andrew Lazarow. Find out what it was like to step into the artwork and demonic vibes of Kid A and Amnesiac. Is it worth buying a ticket? Should you be sober when you go? Will you cry? Join us on the journey years in the making. Also, the newspile is hefty with more Ed interviews, a Jonny interview that is both fascinating and frustrating, a mysterious art show in Venice, and HUGE news regarding Mr Thomas Edward Yorke. This episode is tuned to 432 Hz to heal your body and soul.

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12 Hours Brown Noise | 100Hz | Black Screen

Brown Noise Sleep Sounds

Play Episode Listen Later May 22, 2026 720:00

This 12 hours brown noise at 100 Hz delivers a deep, grounding sound designed to calm the mind and support uninterrupted sleep. The black screen eliminates visual stimulation, helping you focus entirely on rest.Brown noise emphasizes lower frequencies, making it especially helpful for anxiety, overthinking, and deep relaxation.Frequency: 100 HzDuration: 12 HoursScreen: BlackNo visuals.No talking.Just deep sound that stays.Brown Noise Sleep SoundsSound that stays.

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Alpha Stuck Open: When Eyes-Open Looks Like Eyes-Closed | NeuroNoodle Neurofeedback Therapy Podcast

Play Episode Listen Later May 21, 2026 62:11

Jay Gunkelman goes in BLIND on Case 8 — a 30-year-old whose eyes-open EEG looks like eyes-closed. Alpha at 150 microvolts. Widespread. Anteriorized. Not responding to eye opening. After half a million EEGs, Jay calls the phenotype on sight: vigilance regulation problem, not attention. Left-side mu disconnect. Right-parietal alpha persistence. Frontal alpha hyper-coherence climbing from 0.5 eyes-open to 0.6+ eyes-closed — affect regulation flag. Plus a treatment map more granular than the room expected: FC beta for salience activation, C3 for language, C4 for affect, C4-to-PZ for the parietal alpha that won't quit. And a history segment most listeners have never heard — the first transmitted EEG in 1974, phase-lock loops over voice-grade phone lines, Trudy and Eric Gibbs, Larry Wood's engineering. Stay for the inter-rater reliability number that should end the classical-EEG debate: 90% on phenotypes vs 30-40% on traditional reads.

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Play Episode Listen Later May 21, 2026 533:01

This binaural beats sleep soundscape uses 2 Hz delta waves to promote deep sleep, pain relief, and healing. Relax to the sound of a deep and quiet cavern, with a gently flowing underground river, and light water droplets echoing through the dark cave. Combined with 8 hours of soft and relaxing sleep music, so you can stay asleep all night. For a version of this episode without binaural beats, check out the 8 Hour Sleep Music podcast. Thank you and sleep well! -- ✨ ⁠⁠⁠⁠⁠⁠Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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12 Hours Pink Noise | 100Hz | Black Screen

Brown Noise Sleep Sounds

Play Episode Listen Later May 20, 2026 720:00

This 12 hours pink noise at 100 Hz provides a soft, balanced sound environment for deep relaxation and sleep. The black screen reduces visual distractions, allowing your mind to slow down and rest.Pink noise is known for its warmer, smoother sound profile, making it ideal for stress relief, anxiety reduction, and calm focus.Frequency: 100 HzDuration: 12 HoursScreen: BlackNo visuals.No talking.Just soft sound that stays.Brown Noise Sleep SoundsSound that stays.https://distrokid.com/hyperfollow/brownnoisesleepsounds/pink-noise-2Buy me a Coffee Support me here ☕ Thank you! : buymeacoffee.com/BrownNoiseSleepSounds

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How Power Line Frequency Magnetic Fields Change Worm Behavior - And What It Means for Us