Podcasts about Column

Get our Business Idea Database: https://clickhubspot.com/wjsl Episode 833: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) breakdown the biggest IPO of all time.  — Show Notes:  (0:00) what even is SpaceX (7:11) What even is a trillion dollars? (8:51) Launches explained (9:07) Starlink (14:07) Data centers in space (17:39) Starship (24:46) Grok (28:06) a wonderful business at a silly price? (34:16) the mission (37:51) SBF's $114B fumble (39:04) funny, weird, surprising nuggets from the IPO (42:35Who's getting rich this week? (51:13) The genius insight of Luke at Gigafund (55:46) Pessimists get to be right, optimists get to be right (59:12) Elon's comp package — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Get our Investment Guide: https://clickhubspot.com/klsr Episode 832: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to legendary fund manager Barry Ritholtz( https://x.com/Ritholtz ) about the behaviors that destroy returns for investors and how to avoid them.  — Show Notes:  (0:00) Intro (2:19) christmas tree portfolio (4:43) the cowboy account (9:51) day trading (11:09) Barry yells at Lloyd Blankfein (13:46) panic selling (16:45) sam picks a fight (18:46) direct indexing (21:43) Great investors  (27:25) 90% of everything is crap (36:14) Elon's foray into PE (44:02) Predicting the housing crisis (46:01) spending a year as the dumbest guy on wall street (49:01) Why bubbles are good for the economy — Links: • How Not To Invest - https://www.hownottoinvestbook.com/ — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

LinktreeMOMENTUM NEW SHOWFollow the INSTAGRAM to stay up to date with all of the great Rugby League content!! https://www.instagram.com/biglezsleague_/?hl=en Hosted on Acast. See acast.com/privacy for more information.

NO VIDEO THIS WEEK We're so sorry! The file was corrupted and we couldn't recover it. But in this months Oddvice column, we touched on a lot of heartbreak and shared why we both think it is one of the best things you can alchemize in this life ❤️Exclusive Patreon episodes every Friday: https://www.patreon.com/oddvicepodcastHosted by Kristen McAtee (⁠⁠@kristenmcatee⁠⁠) & Alex Koot (⁠⁠@alexandreakoot). Follow Oddvice on Instagram (⁠⁠@oddvicepodcast⁠⁠).See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

00:00 High Five.17:55 Broncos finally have good players, Kiszla column on MacKinnon.

Get our Unsexy Business Idea Database: https://clickhubspot.com/sfci Episode 831: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) tell the story of a $270M/yr meat purveyor plus Nick Sleep's letter and the framework that will make Elon a trillionaire.  — Show Notes:  (0:00) The $300M butcher (18:28) Nick Sleep letters (23:20) the idiot index (35:44) breaking your own frame (39:04) how to become a king maker (51:49) Idea: Teen nerd awards (57:23) Sam's List — Links: • https://www.lafrieda.com/ • https://www.omahasteaks.com/ • https://drinklmnt.com/ — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

In deze uitzending onder meer: - De echte 15-minutenstad - Censuur, dat doen we samen > bekijk ook film over de stasi + audio - Rusland, als de handrem eraf gaat + audio ARD Journaal - Spookstation Berlijn krijgt tweede leven - Column

In deze uitzending onder meer: - De echte 15-minutenstad - Censuur, dat doen we samen > bekijk ook film over de stasi + audio - Rusland, als de handrem eraf gaat + audio ARD Journaal - Spookstation Berlijn krijgt tweede leven - Column

Get our Business Idea Database: https://clickhubspot.com/frle Episode 830: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) rate 7 crazy business ideas that are actually genius.  — Show Notes:  (0:00) Intro (3:14) Pet Chat (5:47) Super Brain (9:44) At home hyperbarics (13:03) Blue collar meta learning (16:57) Endpoint Arena  (21:54) Bathhouse + Steakhouse Experience (27:46) Funday Press (31:52) Dumb phones (41:42) Zach Yadegari's new thing — Links: • HVAC Technician Trainining - https://www.meta.com/experiences/hvac-technician/9277146442386260/ • Endpoint Arena - https://endpointarena.com  •  The Funday Press - https://thefundaypress.com  • Dumb.co - http://dumb.co/ — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Sarah Resnick is the founder and CEO of Gist Yarn and Zollie. FOLLOW UP WITH ANDREWX: https://x.com/andrewjfarisEmail: podcast@ajfgrowth.comWork With AJF Growth: https://ajfgrowth.comBEHIND THE SCENES STUDIOWork with the same Meta Ads creative production team that Andrew does with Behind The Scenes Studio, a More Staffing sister company: https://www.btsstudio.co/.INTELLIGEMSIntelligems brings A/B testing to business decisions beyond copy and design. Test your pricing, shipping charges, free shipping thresholds, offers, SaaS tools, and more by clicking here: https://bit.ly/42DcmFl. Get 20% off the first 3 months with code FARIS20.Column set string to use for your account: &columns=name%2Ccampaign_name%2Cattribution_setting%2Cdelivery%2Cbid%2Cbudget%2Cspend%2Caction_values%3Aomni_purchase%2Cpurchase_roas%3Aomni_purchase%2Cactions%3Aomni_purchase%2Ccost_per_action_type%3Aomni_purchase%2Caverage_purchases_conversion_value%3Aomni_purchase%2Ccpm%2Cactions%3Alink_click%2Ccost_per_action_type%3Alink_click%2Cwebsite_ctr%3Alink_click%2Cimpressions%2Creach%2Cfrequency&attribution_windows=default%2C1d_click_all_conversions%2C28d_click_all_conversions&comparison_date=&insights_comparison_date=

Alphabet gaat voor 80 miljard dollar aan nieuwe aandelen uitgeven. Bijzonder, want het is voor het eerst in 20 jaar dat het moederbedrijf van Google dat doet. Met die miljarden wil Alphabet gaan werken aan zijn AI-plannen. Een koper van die aandelen hebben ze al binnen: Berkshire Hathaway. Dat koopt voor 10 miljard dollar in. Deze aflevering hebben we veel te bespreken. We hebben het over die nieuwe aandelen. Wie gaan die kopen? Helemaal nu ook SpaceX, Anthropic, Open AI vechten om de aandacht van beleggers. En wat te denken van die investering van het bedrijf van Warren Buffett: helpt ze dat de toekomst in? Verder hoor je meer over de Europese Chips Act. Het tweede deel. We kijken wat dat gaat betekenen voor je Besi- en ASML-aandelen. En we hebben het over Hewlett Packard Enterprise. Dit oudje doet hetzelfde als Dell: stunten met de kwartaalcijfers! Ook hoor je meer over: De inflatie in Nederland: 3,5% in mei AI-agent van Tencent trekt Prosus omhoog Gezelligheid op de AvA van OCI Victoria's Secret knalt omhoog - wat is hun geheim? Te gast: Han Dieperink, Chief Investment Officer bij Auréus BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

I'm the guy who starts a bonfire on the beach. I get the music going and the energy high, but then I move down the shore to start the next one. The future belongs to the wanderers who find value in the connections between things. Don't disappear into a single label. Move lightly between fires.

Alphabet gaat voor 80 miljard dollar aan nieuwe aandelen uitgeven. Bijzonder, want het is voor het eerst in 20 jaar dat het moederbedrijf van Google dat doet. Met die miljarden wil Alphabet gaan werken aan zijn AI-plannen. Een koper van die aandelen hebben ze al binnen: Berkshire Hathaway. Dat koopt voor 10 miljard dollar in. Deze aflevering hebben we veel te bespreken. We hebben het over die nieuwe aandelen. Wie gaan die kopen? Helemaal nu ook SpaceX, Anthropic, Open AI vechten om de aandacht van beleggers. En wat te denken van die investering van het bedrijf van Warren Buffett: helpt ze dat de toekomst in? Verder hoor je meer over de Europese Chips Act. Het tweede deel. We kijken wat dat gaat betekenen voor je Besi- en ASML-aandelen. En we hebben het over Hewlett Packard Enterprise. Dit oudje doet hetzelfde als Dell: stunten met de kwartaalcijfers! Ook hoor je meer over: De inflatie in Nederland: 3,5% in mei AI-agent van Tencent trekt Prosus omhoog Gezelligheid op de AvA van OCI Victoria's Secret knalt omhoog - wat is hun geheim? Te gast: Han Dieperink, Chief Investment Officer bij Auréus BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Last time we spoke about the second phase of the One Hundred Regiment Offensive.  During the second phase of the Hundred Regiments offensive, CCP forces emphasized strongpoint and transportation warfare across the Taihang/Jizhong area. Units were organized with wings containing Japanese positions while a central force struck deeper, as in the Renhe Dasu fighting in early October 1940. Night raids seized strongholds, while engineers and sabotage teams disrupted roads, bridges, and mobility, and ambushes targeted Japanese foraging and supply routes. Across these theaters, the strategy was consistent: make Japanese control porous by destroying or capturing local nodes and forcing constant repairs, re-routing, escorts, and slowed reinforcement, so occupation logistics and strongpoint networks could not function reliably. This approach supported wider offensives by isolating strongpoints, draining enemy strength, and giving Communist base areas room to endure and expand.   #204 The One Hundred Regiment Offensive Phase Three Welcome to the Fall and Rise of China Podcast, I am your dutiful host Craig Watson. But, before we start I want to also remind you this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Perhaps you want to learn more about the history of Asia? Kings and Generals have an assortment of episodes on history of asia and much more  so go give them a look over on Youtube. So please subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry for some more history related content, over on my channel, the Pacific War Channel where I cover the history of China and Japan from the 19th century until the end of the Pacific War. After the two large-scale offensives carried out over wide areas of North China, the Japanese army did what it always did when control started to slip: it tried to turn mobile pressure back into something it could "manage" again. The Eighth Route Army's continued fighting had shown that Japanese-occupied space was not secure, and that base areas could still resist, strike, and persist even while under counterpressure. That was dangerous for occupation. If the enemy could keep operations going, Japanese lines of movement stayed uncertain and "stabilization" became a temporary illusion. To prevent the situation from worsening and to re-stabilize the occupied areas as quickly as possible, the Japanese mobilized heavy forces and launched retaliatory counter–"mopping-up" operations against anti-Japanese base areas in North China beginning October 6. The Japanese attempt wasn't only to punish; it was designed to take advantage of an asymmetry: the Eighth Route Army was striking and fighting continuously, and it did not have the luxury of resting, replenishing, and re-cohering as neatly as a garrison army might. Japanese commanders hoped that if they struck hard enough in enough places, the Communist main forces could be isolated, destroyed, or at least forced into a defensive posture that would break their operational tempo. At Liaodong and Yulin, Japanese reinforcements also created a second political-military stake. After the Yuliao Campaign ended, the Eighth Route Army headquarters issued instructions on October 1 to major regions, warning that enemy reinforcements in Liaodong and Yulin might use the opening to "sweep" the Taibei region. In the Communist operational mind, this wasn't just one threat; it was a pattern. A "sweep" could come as a wave that pushed inward, burned villages, destroyed supplies, and tried to force Communist forces out of their protected networks. Even if the offensive couldn't win a conventional decisive battle, it could aim to strip the base areas of people, food, and mobility—things that make guerrilla and strongpoint warfare possible. By October 19, 1940, the Eighth Route Army headquarters issued a counter–"mopping-up" operation plan, and civilian and military authorities in various regions launched counter-"mopping-up" operations accordingly. This is important background: in these campaigns, "mopping-up" was not only an army activity. The Japanese were attempting to break the base system itself—its logistics, its local administration, and the relationship between armed units and civilians who hid, moved, fed, and replaced them. So the counter-operations had to be just as systemic. The Communists needed to keep people alive, keep movement possible, and keep the enemy from consolidating inside a cleared space. In southeastern Shanxi's Taihang and Taiyue regions, the Japanese 1st Army aimed to strike the main force of the 129th Division and destroy anti-Japanese base areas by running a series of mopping operations from October 6 to December 5. The plan had a typical occupation logic: push through strongholds gradually, clear pockets methodically, and rely on local superiority—especially in manpower, logistics, and the ability to reinforce by road. And because the Communist main force had been operating without meaningful rest after the earlier offensives, the Japanese believed they could catch formations while they were still "in between battles." On October 6, in the Taihang region, more than 800 enemy troops from Wu'an in western Hebei began a "mopping-up" operation in the Yangyi area. By October 11, the Japanese posture escalated. Part of the Japanese Independent Mixed 4th Brigade departed from Liaoxian and Wuxiang, while part of the 36th Division departed from Lucheng and Xiangyuan; together they totaled over 3,000 troops. Coordinating from north and south, they carried out operations to "mop up" both banks of the Zhuozhang River between Yulin, Liaoxian, and Wuxiang, encircling and clearing the south side of the Yulin–Liaoxian highway. This emphasis on riverbanks and highway corridors reveals the Japanese method: move along terrain that controls movement, then compress enemy options until the defenders have to fight inside a narrowing space. The counter to that method required more than bravery. The Eighth Route Army's 385th and 386th Brigades, along with the 1st Column of the Decisive Battle, fought on inner lines—where they could move more rapidly between known local positions and threaten the enemy's flanks or supply behavior. Meanwhile the New 10th Brigade fought on outer lines, where it could intercept, delay, and force the enemy to spend time reacting instead of clearing. By the morning of October 15, the New 10th Brigade delivered a concrete example of that interception strategy. Two regiments ambushed an enemy motor-transport convoy at Gongjiagou on the Heliao Highway, destroying more than 40 vehicles and annihilating more than 100 Japanese soldiers escorting the convoy. The meaning of a convoy ambush is strategic even when the numbers are modest: vehicles represent speed, logistics, and reinforcement. If the enemy loses vehicles repeatedly, "mopping" becomes slower, and slower clearing creates openings for the defenders to reorganize, disperse, or shift main effort. After that, on October 17, the enemy forces that had been mopping up the convoy withdrew in different directions. Withdrawal in multiple directions is a sign that the Japanese clearing operation, meant to compress a space, had instead been forced into a reactive mode. It also hints at a recurring pattern in these years: Japanese units could clear what was already weak, but when defenders hit their movement corridors, the occupiers had to spend time and combat power simply to recover mobility. The next major sweep began October 20, 1940, and it was much larger. Nearly 10,000 troops—from the 36th Division and Independent Mixed Brigade No. 4—set off from multiple locations, including Wu'an, Liaoxian, Wuxiang, and Lucheng, to sweep the area east and west of the Qingzhang River, focusing on land between Matian and Zuohui. Crucially, that was not random ground. The Japanese sought to strike the CCP Central Committee Northern Bureau, the Eighth Route Army headquarters, and the 129th Division headquarters, along with party and government organs of the Jin-Ji-Yu Border Region, located together with Shexian and Piancheng. In other words, the Japanese targeted not just armed units but the political-administrative heart that makes base areas function. Once in the attack area, the Japanese carried out "mopping-up" operations paired with burning and killing for several days. That brutality wasn't only cruelty; it served a purpose. Burning villages, destroying crops, and killing civilians could deny the base area food and shelter while making local cooperation more difficult. Then, on October 26, the Japanese began to withdraw and carried out mopping-up in different areas on the way back. The base area was "severely damaged and destroyed," indicating that even when the Japanese didn't annihilate the main Communist force, they could still achieve degradation—hurting the system they needed to keep operating. But the Communists were not simply absorbing damage. On October 29, a force of over 500 men from the 36th Division, plus over 400 supply and laborers, was mopping up Huangyandong and advanced through Zuohui to Guanjia'nao east of Panlong, preparing to return to Wuxiang. This is where counter-mopping becomes operationally dangerous for the occupier. Supply and labor detachments move differently from combat formations, and they represent an enemy's assumption that the base area is being "cleared." The Eighth Route Army headquarters ordered, at 1:00 p.m., for the 129th Division to concentrate its main force to annihilate the enemy. That night, the 129th Division—uniting the main forces of the 385th and 386th Brigades, parts of the New 10th Brigade, and the First Column of the Death Squad—surrounded the enemy at Guanjia'nao with a plan to launch a general offensive at 4:00 a.m. The besieged enemy, besides quickly building fortifications, seized Fengkengding high ground southwest of Guanjia'nao under cover of darkness. The two high points helped defenders support one another and resist stubbornly. The battle lasted until dawn on October 31, when most of the enemy had been annihilated, leaving only more than 60 men to hold positions. Then reinforcements arrived—over 1,500 from Huangyandong—supported by more than 10 aircraft. The 129th Division withdrew, and the remaining enemy fled toward the flood, leaving behind more than 280 corpses. By then, most Japanese troops had withdrawn from the central base area. The background stake is clear: "mopping-up" could damage and burn, but if defenders could convert the Japanese attempt into a trap—especially when enemy units had become separated from their core and committed to clearing—they could turn a destructive operation into a costly one for the occupier. In early November, the Japanese continued. In Licheng south of Taihang, Japanese forces invaded Nanweiquan and Beiweiquan and then Xijing. Elsewhere, Japanese forces in Xiangyuan invaded Panlong via Xiying, attempting to attack Dongtian and the area around Zhuanbi, where the Eighth Route Army headquarters was located. In that moment, the 386th Brigade was ordered to rush to the north–south line of Damocun, east of Panlong, block the invading enemy, and cover the transfer of the Eighth Route Army headquarters. At 9:00 a.m. on November 3, 1940, fierce fighting broke out as the troops finished deploying near Damocun. The Japanese launched continuous attacks and captured some positions. The 386th Brigade held until 4:00 a.m. on November 4, then withdrew after the headquarters successfully moved. The Japanese attempt to launch a pincer attack failed, and they retreated to the Baijin Line on November 5. Even when Japanese action couldn't be fully blocked, the counter's aim was not only tactical survival but prevention of strategic encirclement—protecting the central institutions and preserving the ability to fight again. In the northern Taihang region, more than 2,500 enemy troops from Heshun arrived in Yushe on November 3 via Hanwang Town and Changcheng Town, reinforcing Japanese forces in the Yu, Liao, and Wu areas. Then they carried out repeated mopping operations south of the Yuliao Highway, including Jiangtang, Lingshang, Songjiazhuang, Guojiao, and Dayouyi. Harassment and attacks by military and civilians forced Japanese troops back into their strongholds by the 13th. A "40-day" counter-mopping operation in Taihang came to an end. The term "40-day" isn't only calendar time; it suggests that these were not one-off battles but sustained campaigns of movement, dispersal, and repeated harassment meant to drain the enemy's capacity. Starting November 17, the Japanese launched a multi-pronged attack on Qinyuan and the area north of Guodao Town. The attack involved part of the 37th Division from Qin County and Nanguan Town, part of the Independent Mixed Brigade from Pingyao, Jiexiu, and Huo County, and a battalion of the 41st Division from Hongdong—more than 7,000 troops deployed to attack Qinyuan and the north area. But the Taiyue Military Region response shows how the Communist counter-mopping wasn't always to meet force with force. To avoid the enemy's "sharp edge," the Taiyue Military Region formed two detachments—Qin East and Qin West—with leadership and main force moving to both sides of the Qin River outside the Japanese attack zone, targeting scattered Japanese troops instead of being fixed into a single killing field. By November 23, due to harassment by local armed forces, the Japanese reached the attack zone and then carried out dispersed mopping operations. Qinyuan County was the most severely damaged, with more than 5,000 people killed (about one-tenth of its population), nearly 10,000 livestock killed and over 7,000 stolen, and 30,000 to 40,000 houses destroyed. Those details are brutal, but they explain why background stakes mattered: "mopping-up" was meant to break the social base. If civilians died or fled, the guerrilla system became harder to sustain. The response from the Dayue Military Region seized the opportunity created by Japanese dispersal. On November 23, the 42nd Regiment of the Qinxi Detachment annihilated more than 100 Japanese soldiers in Guantan. On November 27, parts of the 42nd and 59th Regiments killed or wounded more than 160 in Huhanping and Mabei. The Qindong Detachment's 17th and 57th Regiments inflicted serious damage in a series of places—Guang'ao, Chenjiagou, Longfosi, Wuyuanzhen, Nanweicun, Nanli, and more. The 17th Regiment's battle at Longfosi annihilated more than 100 Japanese. Additional heavy losses were inflicted by the 212th Brigade in Jiaokou. By December 5, the Japanese were forced to withdraw from the Taiyue area in separate routes. Strategically, dispersal punished the occupier because scattered units are harder to protect and easier to ambush. Across the Jin-Cha-Ji Border Region, anti-"mopping-up" operations unfolded gradually, beginning with the Pingxi area, the first target of the Japanese on the path toward the Japanese-held headquarters and rail lines. Pingxi mattered because it directly threatened the headquarters of the Japanese North China Area Army and Beiping—the puppet regime's center—and also threatened the Pinghan and Pingsui railways, North China's main transportation lines. So Pingxi became an operational priority: if the occupier couldn't keep the rail network secure, their ability to reinforce and supply their own strongpoints suffered. On October 13, 1940, more than 10,000 Japanese and puppet troops attacked Sanpo, the central area of the Pingxi base area, in 10 routes. This attack used a methodical, steady approach: advance gradually, rely on strongholds, and cover 5 to 10 kilometers each day. In response, the Pingxi Military Sub-district countered using timely maneuvers of its main forces and extensive guerrilla warfare. Over more than a week of fighting, the enemy was constantly harassed and attacked, wearing them down. Although Japanese troops penetrated deep, they failed to identify the main force's movements. By November 21, when the encirclement tightened further, the Pingxi main force jumped out from the Sanpo area and moved southwest. Encountering the enemy at Pengtou, it then moved to the Yegu and Datai line east of Bancheng. After the Japanese entered the Sanpo area, they conducted widespread burning and killing and looted grain. Starting from the 23rd, the Japanese retreated in different routes. By the end of October, the main force had withdrawn from Pingxi, but more than 2,000 troops remained in the Pingxi anti-Japanese base area to build strongholds and roads. Strongholds were added in places like Changping and Wanping—14 strongholds alone—and villages such as Dongzhaitang and Dujiazhuang came under their control. The base area began to shrink and shrink. That shrinkage is the other background stake: even when guerrilla forces avoid annihilation, the occupier may still carve away space through fortification. On October 19, 1940, the Eighth Route Army headquarters instructed that enemy attacks in Pingxi and Taihang might turn around and attack the Beiyue area. The Jin-Cha-Ji Border Region needed to prepare quickly to crush these "mopping-up" operations, coordinating Party, government, military, and civilians and conducting in-depth combat mobilization. The main force should assemble in appropriate positions and prepare to annihilate one or two enemy forces decisively. The headquarters also instructed the 129th and 120th Divisions to cooperate actively. By November 9, 1940, the Japanese struck again in a massive sweep. The 110th Division, along with other units and more than 14,000 puppet troops, launched a "mopping-up" operation in the jurisdiction of the 1st Military Sub-district. The Japanese and puppet troops moved in coordinated lines: along the line of Yi County, Dalonghua, Wang'an Town, Laiyuan, and Chajianling from north to south, while those in Baoding and Mancheng moved east to west. The intent was to squeeze Communist sub-district forces into a narrow area for a decisive battle. On November 10, the Jin-Cha-Ji Military Region issued operational guidelines and deployments for countering "mopping-up" operations. By the 12th, in response to Japanese widespread burning and killing, it further instructed that without hindering mobility, the main force could disperse a portion of troops—no more than one-third—to strike resolutely at attempts to burn and kill. That instruction captures the balance commanders tried to strike: disperse too much and you lose power; disperse too little and you become trapped by the occupier's brutality. The Japanese then attempted to pressure multiple places. On November 9, more than 6,000 enemy troops from Laiyuan, Yixian, and Baoding attacked Guantou, Yinfang, Huangtuling, and Shenbei. On the 12th, their attack failed; they burned and killed people before retreating in different routes. At that time, the 1st Military Sub-district assembled the 1st and 25th Regiments to intercept them. One enemy force of more than 800 was intercepted on the 14th as it retreated from Wujiazhuang to Yuangang; some were killed or wounded. Even so, the enemy broke through under aircraft cover and retreated to Guantou. On the way, it was intercepted again by the 20th Regiment, suffering heavy casualties, and it fled back to Mancheng. Then on November 13, more than 2,700 Japanese and puppet troops attacked the 3rd Military Sub-district; on November 14, about 2,600 advanced from Dingxiang, Dongye, and Wutai toward Fuping and its southwest area in two routes. The Japanese attacked with east-west coordination, launching joint attacks on Taiyu north of Fuping. The Jin-Cha-Ji Military Region headquarters and the command organs of the 3rd and 5th military sub-districts, along with the 2nd, 3rd, and 6th regiments and other troops, transferred to the outer line before the enemy encirclement formed. On the 16th, the Japanese launched a joint attack again on Taiyu and Zhangjiayu, and the guerrillas who failed to transfer fought hard. Commander Wang Pu and Deputy Director of the Political Department Hao Yuming were killed, and troops suffered more than 100 casualties. On November 18, the enemy from Taiyu quickly occupied Hanping City. By the 21st, enemy forces from Daying via Shentangbao and Wuwangkou, and from Wutai via Taihuai, Shizui, Longquanguan, and Xiaguan, also gathered in Fuping City. After occupying Fuping, the Japanese launched repeated attacks "sweeping" areas under the jurisdiction of the 3rd Military Sub-district from both inward and outward strongholds, conducting brutal burning and killing and destruction. On the night of November 21, the 2nd Regiment dispatched more than 30 men to raid Dangcheng and attack Japanese barracks with grenades. The Japanese panicked and fired guns and cannons all night. On the 26th, four plainclothes officers infiltrated Baoding and attacked a theater where the Japanese army was holding a meeting, causing panic among the Japanese. The enemy that had invaded the base area withdrew in different routes on the 25th. By December 3, 1940, most Japanese troops had withdrawn from the Beiyue area, but more than 1,000 remained along lines including Fuping, Wangkuai, Dangcheng, and Quyang to continue building points and roads in an attempt to occupy the area long-term. To force the enemy back, eliminate occupied points, and completely crush Japanese and puppet "mopping-up," the Jin-Cha-Ji Military Region organized the Fuping–Wangkuai Campaign starting December 9, with the 2nd, 3rd, 4th, and 6th regiments participating. At 21:00 on December 14, the 6th Regiment attacked enemy forces in Dongzhuang. The 1st Battalion captured three fortified positions on the north mountain of Dongzhuang and rushed into the village, only for Japanese counterattacks to recapture fortified positions and kill or wound more than 170 Japanese during the counterfight. The 4th Regiment attacked the enemy in Fuping; the 2nd Regiment and guerrilla forces entered Dangcheng and Lingshan. On the 21st, more than 130 enemy soldiers escorting more than 100 pack animals carrying military supplies reached Wangkuai and were completely annihilated when they reached Wanglinkou. By December 26, an ambush in the Xuancun area of the Pinghan Railway destroyed 14 Japanese trains and their vehicles as well as three heavy artillery pieces. On the 27th, more than 1,200 enemy troops advancing from Dongzhuang in Fuping were attacked in Luoyu and Tumen, suffering more than 140 casualties. The remaining Japanese withdrew from Fuping, Dongzhuang, and Wangkuai starting New Year's Day 1941. By January 4, the 55-day anti-"mopping-up" campaign had basically ended, with the Jin-Cha-Ji Military Region killing and wounding more than 2,000 Japanese and puppet troops while suffering 1,382 casualties itself. These numbers and dates show why background and stakes matter: the counter-mopping effort wasn't short. It was sustained, operationally demanding, and required continued offensive action even while facing superior Japanese resources. The pressure didn't end there. From October 25 to early November, about 4,000 Japanese troops, including the 16th Independent Mixed Brigade, launched a mopping operation in the Miyu and Loufan areas of the 8th and 3rd military sub-districts in northwestern Shanxi, but they were attacked by local soldiers and civilians. In mid-December, Japanese forces transferred additional strength: parts of the 37th Division from southern Shanxi and the 41st Division from southeastern Shanxi, along with parts of the 3rd, 9th, and 16th Independent Mixed Brigades and the 26th Division from northwestern Shanxi—totaling more than 20,000 troops—to prepare for a full-scale mopping operation in northwestern Shanxi. After the second phase of the Hundred Regiments Offensive ended, the 120th Division anticipated retaliation and actively prepared for counter-mopping. On October 30, the division was ordered to establish the Jin-Northwest Military Region, and on November 7, the military region was established in Lijiawan, Xing County. The Jin-Northwest Military Region had direct military sub-districts and six military sub-districts: the 2nd, 3rd, 4th, 8th, and Yanbei. Then the occupier escalated. Starting December 14, 1940, the Japanese launched a full-scale mopping operation against the Jin-Northwest region. More than 5,000 enemy troops invaded the Mi-Yu Town area of the 8th Military Sub-district, more than 4,000 invaded Lin-Xian, and more than 6,000 attacked Xing-Xian and the area south of Bao-De from strongholds such as Lan-Xian and Qi-Lan. By December 23, Japanese forces had occupied all county towns, most market towns, and Yellow River crossings in the Jin-Northwest region except for Bao-De and He-Qu counties, and began to implement a systematic policy commonly described as the "Three Alls" policy. The "Three Alls" emphasis is the clearest expression of stakes turning lethal. Japanese troops and traitors disguised themselves as the Eighth Route Army to lure and kill masses. They sent out core detachments to attack and repeatedly sweep the area, seeking to annihilate party, government, and military leadership organs—focusing on destroying the rear organs and facilities that made Communist endurance possible. According to incomplete statistics, more than 5,000 people were brutally killed during these sweeps. In Xingxian County alone, 150,000 catties of grain were looted and burned; in the 4th Military Sub-district, more than 5,000 head of livestock were looted and killed; and more than 19,000 houses and cave dwellings were burned down. In the early stage of this anti-mopping campaign, the Jin-Sui Military Region mainly used a portion of its forces to cooperate with local troops and guerrillas in widespread guerrilla warfare. They harassed and contained the attacking enemy, disrupted enemy transportation, and covered the transfer of the masses. The main force avoided the enemy's sharp edge and moved to the outer line to seek opportunities to attack the Japanese army. This describes the classic guerrilla operational pattern: avoid being fixed into a single decisive trap, but create enough friction that enemy operations degrade into a struggle they can't sustain. repeated attacks and ambushes during the mopping period across Miyu Town and other areas—units striking repeatedly, destroying roads, cutting off enemy transportation, and attacking enemy strongholds north of Dawu. To thwart the Japanese army's plans to build roads and fortifications—plans that would make future sweeps easier—the Jin-Sui Military Region instructed, on December 27, all sub-districts to mobilize forces to disrupt Japanese road construction and fortification. The 358th Brigade attacked enemy road construction from Lanxian to Dashetou and from Puming to Chijianling; the Independent 1st Brigade sabotaged the Dawu–Linxian highway; and the 4th Column of the Death Squad sabotaged the Dawu–Fangshan highway. Part of the Independent 1st Brigade's 2nd Regiment organized over 2,000 civilians to sabotage the Dawu–Sanjiao highway twice, forcing the enemy in Linxian to detour through Fangshan to contact Lishi. The Lishi guerrillas led civilians in two sabotage attacks on the Lishi–Jundu highway, destroying over 30 "li" of road. Other units attacked strongholds along key highways and destroyed or disrupted the "maintenance committees" that surrounded newly built enemy strongholds. There were also direct raids—storming into Linxian County and capturing representatives of enemy maintenance organizations. Meanwhile, the Workers' and Patriots' Brigade carried out continuous sabotage on the Taifen Highway. As the enemy plans ran into persistent disruption, Japanese and puppet forces began to retreat in different routes starting January 2, 1941, and by January 24 they returned to their original strongholds. The Jin-Sui winter counter-mopping operation lasted 40 days, annihilated more than 2,500 enemy troops, destroyed 125 kilometers of roads and 23 bridges, and recovered all towns occupied by the enemy during the campaign. Here the stakes show through most clearly: the campaign was not merely about killing enemy troops. It was about preventing the occupier from building a durable, road-connected grid that would allow future sweeps to be faster, larger, and more decisive. At the wider campaign level, the Eighth Route Army also recorded its total effects from August 20 to December 5, covering roughly three and a half months. During that period, the Eighth Route Army fought 1,824 battles of varying sizes, killing or wounding 20,645 Japanese soldiers (including senior officers), killing or wounding 5,155 puppet troops, and capturing 281 Japanese soldiers and 18,407 puppet troops. 47 Japanese soldiers surrendered voluntarily, and 1,845 puppet troops defected, totaling 46,380 people. The Communists captured 5,942 guns and 53 artillery pieces, and destroyed extensive transportation infrastructure: 474 kilometers of railway, 1,502 kilometers of highway, 213 bridges, 37 railway stations, 11 tunnels, more than 217,000 rails, more than 1,549,000 sleepers, more than 109,000 telephone poles, and more than 424,000 kilograms of telephone wire. Five coal mines and 11 warehouses were destroyed. The narrative further adds that when including casualties of Japanese and puppet forces across related engagements—such as Fuwang and the anti–mopping operations in northwest Shanxi—the total number of casualties reached more than 50,880. Japanese statistics were also cited for damage assessment, noting destruction of track and bridges across key railways (Zhengtai, Tongpu, Pinghan), telegraph pole damage, power line cuts, and effects on coal production—such as the Jingxing New Mine being unable to produce coal for at least six months. These details underline a broader background stake: infrastructure damage was meant to weaken the occupier's ability to keep its occupation apparatus working, even after the direct battles ended. The price of that multi-month struggle was high for the Eighth Route Army as well. Over the three and a half months leading up to the Hundred Regiments Offensive, the Eighth Route Army suffered 17,000 casualties, and more than 20,000 were poisoned. During the Hundred Regiments Offensive itself, post-war statistics state that the 129th Division suffered 7,362 casualties and 450 missing persons, and the entire division suffered 7,812 casualties. When you connect these lines—offensive sabotage, counter-offensives, Japanese mopping-ups, and anti-mopping resistance—you see why this second wave of fighting mattered. It wasn't only about whether the Japanese could respond to the offensive. It was about whether both sides could sustain their operational logic: the Japanese trying to stabilize occupation through "mopping," and the Communists trying to preserve base systems through dispersal, harassment, and counter-moves that convert the occupier's clearing effort into something too costly to maintain. The background of the Hundred Regiments offensive, who authorized it, who planned it, and why, remains unclear. The Japanese response was so severe that, in retrospect, it appeared to some as if the offensive had been a mistake. Some leaders, especially Mao, may have wanted to disavow it. Indirect hints in Mao's writings in subsequent months and years suggest he may have viewed it critically or harbored misgivings from the start. It was not the kind of strategy Mao preferred. More than twenty years later, during the Cultural Revolution, Red Guards charged that Mao had not even known of the plan in advance because of Peng Dehuai's alleged duplicity, at the time, Peng was being denounced. While this seems unlikely, it may contain some substance. In his own defense against these charges, Peng stated that after the 8RA headquarters—located not in Yan'an but in Jin-Cha-Ji—planned the operation, it sent mobilization orders downward to each regional command and also notified the Central Military Affairs Commission headed by Mao. In the original plan, the action would begin in early September. But, Peng wrote, to prevent enemy discovery and to ensure simultaneous surprise assaults—thereby inflicting an even greater blow to the enemy and the puppets—they began about ten days earlier than scheduled, during the last week of August. "So we did not wait for approval from the Military Affairs Commission (this was wrong), but went right into combat earlier than planned." There is also the issue of the "spontaneous" participation of more than eighty regiments without authorization from the Eighth Route Army headquarters, and not from Yan'an as well. If Peng Dehuai's account is accepted (written in 1970, shortly before his death), then Mao and Party Central had no role in conceiving or planning the Hundred Regiments campaign. In that case, the "grand strategy" motivations for undertaking it largely vanish—except perhaps insofar as they were considered by Peng and his colleagues. One alleged motive was to counter any tendency toward capitulation by Chiang Kai-shek and the Chongqing regime: if the war heated up and the CCP threw itself into fighting, any accommodation between Chiang and Japan would look like cowardly surrender. A related consideration was the Communist leadership's sensitivity to the charge that they were simply exploiting the war to expand their influence—avoiding Japanese combat while letting KMT armies bear the real burden of fighting. The Nationalists gave major publicity to the accusation that CCP policy devoted 70 percent of effort to expansion, 20 percent to coping with the KMT, and only 10 percent to opposing Japan. A third suggested motive was to divert attention from the New Fourth Army's offensives against Nationalist forces in Central China, which were peaking around the same time. Peng Dehuai acknowledged the campaign was "too protracted," yet he defended its importance in maintaining the CCP's anti-Japanese image in the wake of anti-friction conflicts, in demonstrating the failure of the cage-and-silkworm policy, in returning at least twenty-six county seats to base control, and in keeping "wavering" elements in line. Even if these reasons mattered less than regional and tactical calculations in launching the campaign, they could always be used for propaganda afterward. Whatever misgivings Mao and Party Central may have had, the Party kept them to itself. Mao radioed congratulations to Peng after his victory, and in public statements the Hundred Regiments were turned into legend. Even if the Hundred Regiments campaign aimed to defeat Japanese pacification efforts, it did not succeed in a decisive way. Shocked and stung by the 8RA's action, the North China Area Army intensified its efforts to bring North China under tighter control. Under General Tada and then his successor, General Okamura Yasuji (July 1941–November 1944), the Japanese inflicted brutal, sustained violence against all North China bases. Between 1941 and 1944, about 150,000 Japanese troops were assigned full-time to pacification duty, supported by roughly 100,000 Chinese auxiliaries of widely varying description and effectiveness. The remainder of the NCAA (about 150,000–200,000 men) was assigned to other tasks such as garrisoning major cities and containing Nationalist forces. Communist regulars were estimated at around 250,000 within base areas and 40,000 in SKN. The Japanese and their Chinese auxiliaries invested even more heavily than before in constructing moats, ditches, palisades, and blockhouses. Japanese sources claimed that by 1942 their forces had built 11,860 kilometers of blockade line and 7,700 fortified posts, mostly in the Hebei plains and the foothills of the Taihang mountains. A massive trench ran for 500 kilometers along the western side of the Pinghan railway line, with a depopulated and constantly patrolled zone on either side. The 250 Japanese outposts established in southern Hebei by December 1940 were more than quadrupled by mid-1942. These became the key means of controlling plains areas; by the end of 1941, all Communist bases in such terrain had been reduced to guerrilla status. Many main force units—such as those under Liu Cheng'ao and Yang Xiufeng—were compelled to move westward into mountains to survive. What distinguished the new Tada–Okamura approach from earlier tactics was the much larger and more protracted search-and-destroy thrust into the core mountain-base areas. They also replaced selective repression with indiscriminate, generalized violence. These infamous "Three-All" mop-up campaigns meant: kill all, burn all, loot all. Unable to distinguish ordinary peasants from Communists, the Japanese waged war on everyone. After attempting to seal off major consolidated regions in the base areas, they sent in very large detachments to search for Communist forces, civilian cadres, and activists. They also tried to destroy base facilities and war material stockpiles; to disrupt agriculture by burning crops or interfering with planting and harvesting; and to seize grain stores. Entire villages were razed, and everything alive found there was killed. Unlike earlier mop-ups that swept through an area and then departed, these campaigns left troops in the targeted zones for extended periods, "combing" the area back and forth and building at least temporary strongpoints in more accessible parts of mountain bases. These mop-up operations took a heavy and painful toll on rural populations. No doubt the harsh tactics and atrocities frequently committed during these actions did cause many peasants, rich and poor alike, to harbor deep hatred of the Japanese and to commit more fully to the Communist side. But intra-party sources also portray cases in which repression worked even more effectively than earlier attempts to drive a wedge between party and peasantry. As one internal assessment put it: If we only stress concealment… we are bound to be divorced from the masses. The morale of the masses cannot be sustained for long either. On the other hand, if we only seek fleeting gratification in careless fighting, we may also invite still more cruel enemy suppression. That will also alienate the masses. Communist spokesmen acknowledged that, in North China base areas, the population under Party control fell from 44 million to 25 million, while the Eighth Route Army declined from 400,000 to 300,000. Local records present an even grimmer picture. By 1942, 90 percent of the plains bases had been reduced to guerrilla zones or outright enemy control. In the mountainous Taiyue district within the Jin-Cha-Lu-Yi base, one cadre admitted that "not a single county was kept intact and the government offices of all its twelve counties were exiled in Jin-yuan." All twenty-six county seats occupied following the Hundred Regiments fighting were lost. I would like to take this time to remind you all that this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Please go subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry after that, give my personal channel a look over at The Pacific War Channel at Youtube, it would mean a lot to me. Japan tried to regain control through retaliatory "mopping-up" operations starting in October 1940. In response, the Eighth Route Army and its commanders issued counter-measures: coordinate party, government, military, and civilians; keep mobility while dispersing forces when possible; and focus on annihilating incoming enemy units decisively. Counter-sweeps and anti-pacification actions continued through December, involving repeated ambushes and sabotage of roads, highways, and fortification efforts. 

Sam & Shaan's hard-won CEO lessons in one guide: https://clickhubspot.com/eokb Episode 829: Sam Parr ( https://x.com/theSamParr ) sits down with Tom Freston to talk about the insane story of starting MTV and shaping America in the 80s and 90s.  — Show Notes:  (0:00) Intro (4:04) Millionaire by 26, broke by 33 (8:49) The first days of MTV (no frontal nudity) (14:14) Music Videos (19:03) How to spot culture-changing talent (27:12) Making your employees party together (31:56) Nickelodeon, SpongeBob, and Building Legacy IP (35:21) Programming for a Specific Audience (37:33) The Facebook Acquisition That Almost Happened (41:25) Founders Who Refuse to Sell (43:29) Rupert Murdoch vs. Sumner Redstone (45:23) MySpace, Big Bets, and Getting Fired (47:55) Inside the writers room (51:33) Oprah Calling  (54:00) The End of Monoculture and the Creator Economy — Links: Unplugged - https://a.co/d/0ef6YVu2  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

5-29 Mike's back with headlines, a song for Talarico and Jim Stovall's new column by Mike Opelka

Get our Wealth Guide (35+ insights from top investors): https://clickhubspot.com/fvif Episode 828: Shaan Puri ( https://x.com/ShaanVP ) and Sam Parr ( https://x.com/theSamParr ) talk to billionaire Joe Liemandt ( https://x.com/jliemandt ) about the experiment he's put $1,000,000,000 of his own money into. — Show Notes:  (0:00) Joe, the total man? (08:09) fighting bill gates for talent (13:14) intensity (16:18) choosing hard over easy (19:00) how to be a magnet (21:34) high standards (23:29) being persuasive  (29:23) simplicity: 3 ines, 3 words  (34:41) is 2x faster really better? (36:23) making kids run a 5k (38:45) why be public now (41:01) why put $1b into the lowest roi thing? (50:03) buying SaaS companies (51:06) cloning Warren Buffett's brain (53:00) changing your brain lift (57:19) is AI going to make everyone dumb? — Links: • Alpha School - https://alpha.school/  • 10 to 25: The Science of Motivating Young People - https://a.co/d/048Cfexh  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

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.

On this episode: Running an election is harder than it looks — and it's always been that way. Ballotpedia founder and CEO Leslie Graves joins host Norman Leahy to walk through how elections actually get administered, from the surprisingly murky process of figuring out which district you live in to the chaotic, largely improvised vote that determined whether Kansas would enter the Union as a free state or a slave state. Along the way, they explore the surprisingly recent history of the secret ballot, how party-printed ballots once made your vote visible to everyone around you, the origins of the ballot initiative process, and why states that have it are unlikely to ever give it up.Read Leslie's Column: https://ballotpedia.org/From_the_desk_of_Leslie_Graves Check out our complete office hours series: https://www.youtube.com/playlist?list=PLtP8LWIl9mMO2t_0SXnYhwMv6HHgIoL75 Are you running for office, or struggling to find information for a candidate? Send them our Candidate Connection Survey or take it yourself: https://ballotpedia.org/Ballotpedia%27s_Candidate_Connection Looking to get involved? Learn more about volunteer opportunities with Ballotpedia here: https://ballotpedia.org/Support:Volunteer Complete a brief 5 minute survey to review the show and share some feedback: https://forms.gle/zPxYSog5civyvEKX6 Sign up for our Newsletters: https://ballotpedia.org/Ballotpedia_Email_Updates Stream "On the Ballot" on Spotify or wherever you listen to podcasts. If you have questions, comments, or love for BP, feel free to reach out at ontheballot@ballotpedia.org or on X (formerly Twitter) @Ballotpedia.*On The Ballot is a conversational podcast featuring interviews with guests across the political spectrum. The views and opinions expressed by them are solely their own and are not representative of the views of the host or Ballotpedia as a whole.

A business is just a structure; a movement is a magnet. Why build a pyramid of control when you can lead a pancake of trust? When you move, the right people join you. What do you believe in so much that people would follow you for free?

Get Mohnish's 9 investment principles: https://clickhubspot.com/kwdo Episode 827: Shaan Puri ( https://x.com/ShaanVP ) sits down with Mohnish Pabrai to break down the mental models that made him a billionaire value investor.   — Show Notes:  (0:00) Intro (1:25) Mental models of the top 1% (3:38) The mistress is always hotter than the wife (6:37) Introduce Randomness in your life (10:47)  Humans are poor at copying (20:13) Take a simple idea seriously  (23:02)  Be and inch wide and a mile deep (30:29)  Never use Excel (35:03) Wait for fat pitches (39:38) the stock market is like a church with a casino  (44:01) Paying $650,000 to have lunch with Warren Buffett (45:43) The cautionary tale of Rick Guerin (47:22) The inner score card (49:25) The future of Berkshire Hathaway (51:29) Mohnish's best investment (1:02:39) The hardest question (1:06:16) How to beat the index (1:11:25) Mohnish's stock picks for 2026  (1:22:26)  S&P 500 (1:24:57) life advice disguised as investing advice (1:29:32)  Studying the greatest investors  (1:37:51) if you remember nothing else, remember this  — Links: Mohnish Part 1: This Guy Copy-Pasted Warren Buffett's Strategy (And Became A Billionaire) Mohnish Part 2: Go from $10,000 to $1M in just 3 years  The Dhando Investor - https://a.co/d/0hkx1t8g  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Get Sam & Shaan's CEO lessons in one guide: https://clickhubspot.com/ptcw Episode 826: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) chop it up with Gary Vee.  — Show Notes:  (0:00) Intro (2:40) Nick Dio, VP of friendships (6:47) How to invest $1M on yourself (10:06) being long term greedy (17:53) Gary breaks down his companies and revenue (21:43) day in the life of Gary v (26:19) breaking down the 15-minute meeting (29:07) eat shit and firefight (31:00) picking projects (32:31) 5-year bets gary is making (34:04) missed fat pitches (38:00) vetting shady people (42:55) Mimetic rivals — Links: • https://vaynersports.com/  • https://www.vaynerwatt.com/ • https://winelibrary.com/  • https://empathywines.com/  • https://resy.com/  • https://vcrgroup.com/ • https://vaynerx.com/ — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Design Thinking isn't a workshop recipe or a six-step certification. It's an evolving language. If you're just ticking boxes, you aren't designing, you're just rearranging the furniture. It's time to move beyond the label and humanise the system… Stop being a recipe follower. Start being a chef.

EXCLUSIVE: Seattle Mayor Katie Wilson quietly pitched firefighters to back fire district levy to cover city’s budget gap // Starbucks to have another round of layoffs // Seattle residents are being charged extra for trash they did not put out // LongForm: GUEST: Leslie Goeres // Quick Hit: Useful Idiot Nick Kristof’s New York Times Column Was a Shameful, Shoddy Blood Libel  

Today on The Press Box, Joel is out, so Bryan is back with David and they start by discussing another Bari Weiss and CBS story. Then, they move to the discourse around Nick Kristof's recent column (23:17), they say goodbye to a legendary sports broadcaster, and much more. Then, Bryan is joined by Vox's senior editor for politics Benjy Sarlin to do a midterm elections check-in (37:10). Hosts: Bryan Curtis and David ShoemakerProducers: Isaiah Blakely, Jamie Yukich, and Ben Cruz Learn more about your ad choices. Visit podcastchoices.com/adchoices

Steal the exact framework we use to grow the pod: https://clickhubspot.com/blfb Episode 824: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) open the kimono and do a My First Million strategy meeting live.  — Show Notes:  (0:00) Intro (2:11) the virtue of selfishness (5:54) clip army (14:01) MFM 1% events (22:13) newsletter (24:50) mfm dinner club (29:19) barbell guests (34:13) content ideas — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Subscribe to Inside Call me Back. ____ Subscribe to Ark News Daily ____ Content warning: This episode includes discussion of sexual violence How do unverified claims become a New York Times column? On Monday, the New York Times published an opinion column by Nicholas Kristof titled "The Silence That Meets the Rape of Palestinians" — an explicit attempt to draw a moral equivalence between Hamas and Israel by alleging that both equally engage in systematic sexual violence. The piece, based on interviews with 14 unnamed Palestinians, cited a Geneva-based NGO calling Israeli sexual abuse a "standard operating procedure" and described, among other things, trained dogs used to sexually assault prisoners. Kristof quoted former Israeli Prime Minister Ehud Olmert appearing to validate the charges - but Olmert subsequently issued a statement clarifying that he did not, in fact, confirm the column's most serious claims, including that Israeli authorities directed the rape of children or that systematic sexual torture is state policy. The morning after Kristof's column appeared, an Israeli civil commission released a 300-page report - built on more than 10,000 photographs, thousands of hours of video, and over 400 testimonies - concluding that Hamas's sexual violence on October 7th was systematic, widespread, and deliberate. The New York Times, which had been told the report was coming months in advance, published it nearly 24 hours after running Kristof's op-ed.  Reporters who spent the day going through Kristof's column claim by claim found it largely unverifiable - no dates, no locations, no names - recycled from dubious sources and in many cases almost certainly false. The deeper question this episode asks is not simply whether the column is fair, but how something like it gets published in the paper of record at all: what is the pipeline, from NGO to press release to Pulitzer Prize winner's byline, that turns unverified claims into fact? And why does that pipeline flow so reliably in one direction?  To answer that, Dan is joined by Matti Friedman, a former AP reporter and editor in Jerusalem, and author of the 2014 Atlantic essay "What the Media Gets Wrong About Israel" - who has spent years documenting the specific mechanisms by which NGOs hostile to Israel have shaped, and in some cases dictated, Western coverage of this conflict. In this episode: - What Kristof's column alleged - Which claims are documented, unverifiable, or implausible - How NGO claims become mainstream coverage - Euro-Med, activist sourcing, and the New York Times - Matti Friedman's warning about Western media - The October 7th sexual violence report and the timing problem - The moral equivalence at the heart of the piece - The cost to Israel  This episode was sponsored by Birthright: Invest in the Jewish future today at onetripchangeseverything.com. More Ark Media: Want to join Ark Media? Check out our careers page for new openings. Explore Israel Votes Listen to For Heaven's Sake Listen to What's Your Number? Watch Call me Back on YouTube Newsletters | Ark Media | Amit Segal | Nadav Eyal Instagram | Ark Media | Dan X | Dan Dan Senor & Saul Singer's book, The Genius of Israel Get in touch Credits: Ilan Benatar, Brittany Cohen, Ava Weiner, Martin Huergo, Mariangeles Burgos, and Yuval Semo

Content warning: This episode includes discussion of sexual violence How do unverified claims become a New York Times column? On Monday, the New York Times published an opinion column by Nicholas Kristof titled “The Silence That Meets the Rape of Palestinians” — an explicit attempt to draw a moral equivalence between Hamas and Israel by […]

Get Shaan's $0-$1M guide: https://clickhubspot.com/rgfr Episode 823: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk about their billy of the week, childhood passions and people making millions on TikTok selling stuff.  — Show Notes:  (0:00) Billy of the week (8:25) Raising kids with an edge (13:37) childhood passions (26:44) Random TikTok People Are Making Millions Selling Hoodies (42:11) the best brands start janky — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Trump loses patience with the media during a heated press moment, Pete Hegseth clashes with Democrats in explosive hearings, and the New York Times faces major backlash over a controversial Israel-related column. We break down the viral clips, media outrage, October 7th reporting fallout, and the internet's reaction to claims surrounding the NYT article.The political commentary doesn't end there. We also cover Spencer Pratt's epic campaign, Sam Harris discussion on Islamist manipulation of the left, Megyn Kelly explains her shift on Israel, Project Veritas drops new undercover clips, Loudoun County faces another school scandal, and Seattle's teachers union controversy grows.Plus, China trip updates, Todd Blanche on leaks, Thomas Massie drama, Kevin Warsh rumors, Javier Becerra's awkward interview, Demi Moore backlash, TikTok culture reactions, and more.SUPPORT OUR SPONSORS TO SUPPORT OUR SHOW!Fresh Pressed Olive Oil gives you a FREE full-size $49 bottle for just $1 shipping—no commitment. Taste the difference at https://ChicksLoveOliveOil.comDon't change your dog's food—just add Ruff Greens. Get your FREE jumpstart trial bag (cover shipping) with code CHICKS at https://RuffChicks.comShop for Father's Day! Visit https://Bruntworkwear.com and get $10 off  at BRUNT when you use code CHICKS at checkout.Support your heart health, circulation, and healthy cholesterol levels in one simple gel pack. Visit https://Healthycell.com/Chicks and use code CHICKS20 to save 20% on your first purchaseSubscribe and stay tuned for new episodes every weekday!Follow us here for more daily clips, updates, and commentary:YoutubeFacebookInstagramTikTokXLocalsMore InfoWebsite

Trump loses patience with the media during a heated press moment, Pete Hegseth clashes with Democrats in explosive hearings, and the New York Times faces major backlash over a controversial Israel-related column. We break down the viral clips, media outrage, October 7th reporting fallout, and the internet's reaction to claims surrounding the NYT article. The […]

This episode is presented by Create A Video – A day before a two-year massive investigation into the widespread and systematic rapes of Israelis during the October 7th massacre, the New York Times (again) shames itself with an opinion piece making unverified allegations that it's the Israelis, actually, who employ rape against Palestinian prisoners.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-pete-kaliner-show--6946691/support.Subscribe to the podcast My preferred podcast platform: SpreakerAll the links to Pete's Prep are free!Get exclusive content here!Media Bias Check: GroundNews promo code!Advertising and Booking inquiries: Pete@ThePeteKalinerShow.com  

Text us about this show.Just like the episode title says, Brian Witkin is indeed a music industry swiss army knife. He's the CEO of the San Diego based Pacific Records label, leader of award winning Hawaiian music band Slack Key 'Ohana, a record producer, an entertainment and music attorney, an Ovation endorsed guitarist, and a columnist. He's also one of the friendliest guys you could ever meet. His boundless energy and enthusiasm permeates everything he's involved in. The music he makes with Slack Key 'Ohana is a wonderful mix of Hawaiian slack key and mainland Americana that goes down as easy as a Mai Tai. Enjoy this fun and lively discussion with Brian Witkin.Read Brian's Music and the Law column here.All Slack Key 'Ohana songs on this episode used with the permission of Brian A. Witkin."Slack Key 'Ohana" performed by Slack Key 'Ohanawritten by Brian Witkin© 2021 Pacific Records."Hawaiian Cowboy" performed by Slack Key 'Ohana with Billy F. Gibbons and George Kahumoku, Jr.written by Brian Witkin© 2024 Pacific Records."Slack Key Blues (instrumental)" performed by Slack Key 'Ohana with Rand Andersonwritten by Brian Witkin and Rand Anderson© 2025 Pacific Records.Melody Audiology LLCAudiology services for all. Specializing in music industry professionals and hearing conservation.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showVisit Into The Music at https://intothemusicpodcast.com!Support the show: https://www.buymeacoffee.com/intothemusic E-mail us at intothemusic@newprojectx.comYouTubeFacebookInstagramINTO THE MUSIC is a production of Project X Productions.Host/producer: Rob MarnochaVoiceovers: Brad BordiniRecording, engineering, and post production: Rob MarnochaOpening theme: "Aerostar" by Los Straitjackets* (℗2013 Yep Roc Records)Closing theme: "Close to Champaign" by Los Straitjackets* (℗1999 Yep Roc Records)*Used with permission of Eddie Angel of Los StraitjacketsThis podcast copyright ©2026 by Project X Productions. All rights reserved....

Get our Wealth Guide (35+ insights from top investors): https://clickhubspot.com/ohkg Episode 822: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk about how your genes could determine how much money you make and the startup ideas YC is betting on.  — Show Notes:  (0:00) money genes (5:07) your personality is your business (23:46) productive placebos (33:39) YC Request for Startups (34:57) IDEA: aesthetic data centers (42:15) IDEA: The company brain (51:10) IDEA: drone swarm defense (57:33) IDEA: personalized medicine — Links: • YC RFS - https://www.ycombinator.com/rfs  • Deep Personality - https://deeppersonality.app/ • Viktor - https://getviktor.com/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Want to build an AI side hustle? Get the free AI Side Hustle Crash Course: https://clickhubspot.com/lkb Episode 821: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Replit founder Amjad Masad ( https://x.com/amasad ) about growing 100x in one year.  — Show Notes:  (0:00) 2.5M to 250M in 1 year (10:28) the darkest hour (17:00) pivot, pivot, pivot, until it hits (28:19) companies exploding with Replit (33:05) Amjad's business ideas (38:44) "we are in the singularity" (51:24) best business biography  (53:23) getting on Joe Rogan (57:00) slowing down under pressure (1:11:08) Vercel scandal (1:13:35) lifestyle upgrades of being a billionaire — Links: • Replit - https://replit.com/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

What if your bank was also a technology company that actually understood property management? In this episode, I sit down with George Cheng, GM of Vertical Solutions at Column - the bank powering companies like Ramp, Bill.com, and Wise behind the scenes.Column is unusual: they are a nationally chartered, FDIC-insured bank AND built their core banking software from scratch (the founder also started Plaid). That means real APIs, real-time data, and a level of integration that legacy banks running on FIS and Fiserv simply can't offer. We discuss:(00:01:48) - Column's work for property managers(00:05:22) - How banks differ from companies like PayPal, Stripe, and Venmo(00:09:04) - Banking APIs(00:18:27) - What Column is providing tech-forward PM companies(00:31:54) - How PM companies are taking advantage of Column(00:41:45) - Corporate accounting and trust accounting(00:46:41) - AI predictions(00:51:46) - Closing thoughtsGeorge also shares why accounting is the area of PM most ripe for AI disruption (and why nothing has happened there yet), what it looks like when one of his PM clients built a CEO-level dashboard pulling from both their PMS and their bank in real time, and his take on how agentic AI is reshaping the SaaS landscape. We also get into earnings credits, the state banking laws still tripping operators up, and the future of outcomes-based pricing in software.Learn more about Column: https://column.com/property-managementConnect with George: https://www.linkedin.com/in/georgecheng7/

Get our Unsexy Business Ideas Database: https://clickhubspot.com/fjsc Episode 820: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Rohan Oza about how his formula for simple products that end in multi-billion dollar exits.  — Show Notes:  (0:00) The brandfather (2:40) Rule 1: influence the influencer (7:02) Deal: Poppi on Shark Tank (20:32) rule 2: Make a brand pop culture (25:10) knowing winners from losers (26:48) Rohan breaks down his formula (29:31) "shelf space is the original algorithm" (33:39) Closing the biggest deal of your life (38:57) how to win with no network  (42:07) Rohan's first million (46:45) spotting the next trend (tastebuds and TAM) (48:09) How do you sell water? (52:33) learning from the giants — Links: • CAVU - https://cavuconsumer.com/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

In this episode of Million Dollar Flip Flops, Rodric breaks down one of the most important shifts a builder can make: moving from being a flashlight to becoming a lighthouse.The big idea is simple, but powerful:The goal is not to be known by more people.The goal is to become the obvious choice for the right people.Rodric explains why so many builders stay stuck in “available and generic” positioning — and why that creates the flashlight tax:generic marketingprice-sensitive leadswasted estimatestire-kickersslow growthconstant motion with no real tractionInstead, he lays out a framework for becoming the builder people already know they want to call.This episode walks through:Why specialization creates authority and premium pricingWhy the market rewards clarity, focus, and consistencyHow the lighthouse model works in real lifeA real-world builder example that increased average project size and close rate by narrowing his nicheA practical exercise to uncover your sweet spot using the profitable / enjoyable / desired auditHow positioning changes referrals, marketing, pricing power, and client conversationsRodric also challenges builders to plant a flag, commit to it for 12 months, and stop saying yes to projects that pull them away from their future.This is a wake-up call for any builder who is doing good work but still feels like they're chasing the market instead of leading it.

-The stool talks about the column that Sip put out regarding Jason Peter's comments on the show last week, and it generated some attentionOur Sponsors:* Check out Hims: https://hims.com/EARLYBREAKAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Presented by Race Tech This is the audio from the Race Tech Editors' Column... I think that I have gotten many of my best qualities from my mom and dad. Mom was a great writer, and my dad was a hard worker who was one of the most creative people around. There are, however, things that my older brothers and I inherited from them that are not so desirable, like high blood pressure and high cholesterol. While both of my big brothers have had to have open-heart surgery, I believed that I could beat the genetic course with hard work and clean living. I discovered mountain biking a dozen years ago, and I honestly thought that my secondary two-wheeled obsession would keep all of those important measurable levels on the right side of the scales. Boy, was I wrong. While some of you may have had better luck than me, I got a massive wake-up call last weekend that saw me hospitalized after a trip to the emergency room with a lethally high blood pressure spike that literally could have killed me. I was discharged from the hospital yesterday, some five days later, with a stent in my heart and four new prescriptions. To be honest, I never really get scared when I find myself in the ER with cuts, scrapes, bruises, or broken bones, (ok ok, the broken neck in 2020 was pretty concerning...), but knowing that my body was failing me a few days ago really frightened me. It'c crazy how quickly word-of-mouth can spread, and it's been humbling to see how many friends, industry co-workers, and SML viewers have reached out by phone, text, e-mail, and DMs. Yesterday, I gathered my thoughts and shared my experiences, thoughts, and fears in this episode of Race Tech Editors' Column. I'm sure most of you will be bored or think I'm being overly emo, but in case anyone is interested, here's my story. If you have had a similar experience or have any advice for me, please share it in the comments! Thank you all for supporting the content that Chase and I create! - swap

Get our Business Idea Database: https://clickhubspot.com/etsl Episode 819: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) answer the question, “If you're smart and in your 20s, where's the opportunity?” — Show Notes:  (0:00) Where is the opportunity right now? (08:01) the buff billionaire (19:43) We break down the TBPN acquisition by OpenAI (31:59) 2 stories of John Coogan being locked in (41:56) William Randolph Hearst (54:48) Collecting 100x talent — Links: • GTA VI - https://www.rockstargames.com/VI  • John Coogan on YouTube - https://www.youtube.com/@JohnCooganPlus/videos  • Hearst Castle - https://hearstcastle.org/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Ali Riley & Kelley O'Hara debate their tactics if you're down a goal in the last 10 minutes of a World Cup knockout game, and what's the BIGGEST mistake a coach can make. We get into all the action between Washington Spirit and KC Current, and when it's time for KC to start worrying. Plus we pick which teammates we'd be trapped on a desert island with, and who we'd cast in our reality TV show. This episode is presented by Amazon Prime. Chapters 00:00 Introduction 02:16 Kelley Won a BET! 03:15 Croix Bethune Returns to Audi 05:20 Is Rowdy Audi BEST in the NWSL 07:19 When Does KC Worry… 12:39 7 Stoppage Time Goals???? 15:29 2-0 Most DANGEROUS Score in Soccer 19:00 Big 5 Moments 21:46 Sophia Wilson DELIVERED 24:58 Down a Goal with 10 Minutes Left 26:29 Change Formation 32:37 Note-Gate! 36:46 Teammate Fantasy Draft 37:28 Picking You Up from Airport 39:10 Trapped on a Deserted Island 40:31 Control the Aux 42:49 Couples Costume 43:47 Casting OUR Reality TV Show 47:19 Alright, Bet Just Women's Sports is the leading digital media platform dedicated exclusively to women's sports. In a world where women's sports have been historically underfunded and under-promoted, Just Women's Sports exists to shine a light on all the stories, athletes and moments that define and fuel the space. Through original podcasts, premium video programming, social media, editorial content, a newsletter, and exclusive merchandise and live events, Just Women's Sports is committed to making it both easy and fun to be a women's sports fan. Listen to Time Wasting here: Apple Podcasts: https://podcasts.apple.com/us/podcast/time-wasting/id1522055041 Spotify: https://open.spotify.com/show/6RTMyWpdSBY9I4vO528qX3?si=4ffbdaf315814b19&nd=1&dlsi=8ead3e4fd463490d iHeart: https://www.iheart.com/podcast/269-time-wasting-68461888/ Amazon Music: https://music.amazon.com/podcasts/a6f36ad8-f5e2-4478-8650-3f6f8805810b/time-wasting Add us on: Instagram: https://www.instagram.com/timewastingpod/ Twitter: https://twitter.com/justwsports Tik Tok: https://www.tiktok.com/@timewastingpod? Learn more about your ad choices. Visit megaphone.fm/adchoices

Run your life like a $100M business. Get the system here: https://clickhubspot.com/ehw2c Episode 818: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk about how to design a life worth living.  — Show Notes:  (0:00) Follow your bliss (3:33) enthusiasm, enduring enthusiasm, mastery, passion (16:23) Find a loop that you love (24:49) The top 5 regrets of the dying — Links: • The Top 5 Regrets of The Dying - https://a.co/d/07V6Zze9  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Weather, some say, is fickle. Of course nature is just nature but when you're on high ground, the mountains, and the weather moves in, the temperature drops in minutes and wind shifts. It is a dangerous place and that's during mid-summer. Perhaps summer is the most dangerous time to be caught in a mountain storm, particularly in South Africa because there's more moisture and freezing sleet and snow sweeps over the summit, overwhelming hikers in shorts and T-shirts. During January and February 1881, the weather along the Natal escarpment near Volksrust and Majuba was characterized by high rainfall, frequent thunderstorms, thick mist, and cold nights. This period was at the height of the summer rainy season, creating wet, muddy conditions that significantly impacted military operations during the First Boer War. The weather at times was bitter, just like the Boer sentiment. Laing's Nek gravesite was desecrated in 1969 when Afrikaner Nationalists under cover of dark, blew up a large Cross that had been erected over the graves of Royal Navy sailors who'd perished during the Battle of Laing's Nek in February 1881. Such was the depth of historical bitterness. Memories run deep. The last known Boer of the First Anglo-Boer war, Jacob "Jaap" Coetzer died in the same year as the exploding cross — 1969 - showing just how long veterans of war can live amongst a population that has no clue about their past. A vet of the first Anglo-Boer War had lived to hear Beatles music. Coetzer was 15 year's old when he joined Commandant Piet Joubert's commandos in the area of Laings Nek, and was a survivor of the next major clash, Majuba. Not that Jaap Coetzer was in any way linked to the desecration. Laing's Nek lies on the N11, a quick 20 minute drive through this pass and you ascend from the rolling hills of KZN into the highground of Mpumalanga — or the Transvaal as it was in 1881. In January 1881, the British force under Major General Sir George Pomeroy Colley moved off from Newcastle after his ultimatum to the Boers had been ignored. Despite his intelligence and administrative competence, his battlefield record would reveal a critical weakness: a tendency to apply textbook European tactics in environments where they were increasingly obsolete. The Boers, by contrast, were armed with modern Westley Richards breech-loading rifles and other similar breech-loading firearms, which allowed for faster and more accurate fire than the older muzzle-loading weapons that had shaped earlier British tactics. Many Boers were also skilled marksmen, accustomed to hunting and irregular warfare, and they fought from concealed positions—rocks, ridges, and scrub—rather than in formal lines. This combination of mobility, cover, and firepower was going to be devastating. Colley led 1216 officers and men including five companies of the 58th Regiment, 5 companies of the 3rd Battalion of the 60th Rifles, 150 cavalrymen, a party of Royal Navy sailors with two 7 pound guns, and a mounted unit of Royal Artillery with four 9 pound guns. Major General Colley was determined to revenge the previous month's debacle at Bronkhorstpruit. The Boers setup four main laagers on the escarpment north east of Majuba. Their main camp was based at a point south of the Standerton Road, about 10 kilometers from Wakkerstroom. From here, flanking the two roads which approached from Newcastle, their patrols could ride out to watch the Buffalo River fords, as well as Laing's Nek. Colley had moved off from Newcastle on the 24th January, after two days of heavy rain held up his wagons. On the 25th they struggled across the Imbazane River, and on the 26th, crossed the Ingogo River. British patrols saw Boers moving on the pass, and on the evening of the 27th, noted that Laings Nek was occupied in force. More heavy rain fell that day, and a thick mist drifted across the landscape. On the morning of the 28th, Colley led his force out of the laager.

Get Shaan's guide to go from $0 to $1M: https://clickhubspot.com/etpc Episode 817: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Chad Janis ( https://x.com/chadjanis ) who just sold his gummies business for $1b+ in less than 3 years.  — Show Notes:  (0:00) Intro (1:28) origin story (8:11) $30K to $230K in 1 month (10:33) Naming Gruns (13:14) remixing formats (20:28) only looking for $10b ideas (29:25) 10-minute ecom Marketing Masterclass (41:26) $1b Idea: ACH distribution layer (48:17) Access is everything (57:16) Where Chad is going to spend his money — Links: • Gruns - https://gruns.co/  • Replo - https://www.replo.app/  • Monarch - https://www.monarch.com/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Get our investing playbook (with 35+ insights from top investors): https://clickhubspot.com/rwpt Episode 816: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk about the opportunities with AI and longevity.  — Show Notes:  (0:00) Hal Finney (9:30) Aubrey De Grey (23:10) Be Here Now (33:31) Oz Pearlman  (42:55) When Kevin Hart met Jeff Bezos (50:46) Shaan reads The Art of The Deal — Links: • The Prospect of Immortality - https://a.co/d/0d2jc81i  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Run your life like a $100M business. Get the system here: https://clickhubspot.com/cdew Episode 815: Sam Parr ( https://x.com/theSamParr ) talks to Charles Duhigg ( https://x.com/cduhigg ) about how to transform your life through habits.  — Show Notes:  (0:00) the habit loop (5:26) you fall to the levels of your systems (11:06) replying to emails in your inbox (14:44) chosen bad habits (16:20) 1-line journaling (19:30) supercommunication  (28:12) Trump's supercommunication skill (33:15) a case against authenticity (37:44) famous speeches  (45:58) coldcalling 900 people (47:43) 60-second productivity masterclass  (49:51) The best stuff Charles has read lately (53:13) financial freedom (56:17) bending the earth to your will — Links: • Charles Duhigg - https://charlesduhigg.com/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Get Steph's database with 100+ stats that will shape the next decade: https://clickhubspot.com/ehsf Episode 814: In this special episode, we're pulling our best moments with the trends queen herself, Steph Smith ( https://x.com/stephsmithio ).  — Show Notes:  (0:00) Intro (0:44) Silver Tsunami  (8:05) Sports (11:39) Mega trends (declining birthrate, air quality) (21:41) Nerd Neck (25:49) Nature  (32:02) Breakup Spending — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

Get our CEO lessons in one guide: https://clickhubspot.com/rmfk Episode 813: Shaan Puri ( https://x.com/ShaanVP ) talks to Jon McNeill about his time running Tesla and working side-by-side with Elon Musk.  — Show Notes:  (0:00) Intro (1:18) a job interview with Elon Musk (5:07) Being a sniper for talent (8:20) solve a real problem, right now.  (11:23) solving Tesla's sales problem (23:41) One size fits all opportunities (26:50) the power of noticing (31:45) order of magnitude goals (38:34) 3 sentence emails (43:24) identifying $50B industry (49:05) AI — Links: • The Algorithm - https://www.penguinrandomhouse.com/books/799958/the-algorithm-by-jon-mcneill/  — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /