{"id":6588,"date":"2026-02-24T07:00:16","date_gmt":"2026-02-24T07:00:16","guid":{"rendered":"https:\/\/chef.shangeryou.com\/fire-cooking-in-a-data-world-mindset-guest\/"},"modified":"2026-06-09T09:56:08","modified_gmt":"2026-06-09T09:56:08","slug":"fire-cooking-in-a-data-world-mindset-guest","status":"publish","type":"post","link":"https:\/\/chef.shangeryou.com\/fr\/fire-cooking-in-a-data-world-mindset-guest\/","title":{"rendered":"Fire Cooking in a Data World Mindset"},"content":{"rendered":"Over time, many of us discover the same thing: the cooks that consistently turn out well aren\u2019t the ones making the most adjustments or chasing the cleanest graphs. They\u2019re the ones where we learned when to step in\u2026 and when to stay out of the way.\n\nAnyone who\u2019s cooked outside has lived the experience\u2026\n\nYou did everything \u201cright.\u201d\nGood meat. Good fire. Reasonable plan.\nAnd somewhere along the way, things just didn\u2019t quite follow the vision.\n\nThat\u2019s usually the moment we start looking for better techniques, better gear, or better answers \u2013 not because we\u2019re careless, but because <strong>cooking over fire<\/strong> has a way of exposing how little control we actually have.\n\nMost advice focuses on what to do, not how to think while we\u2019re doing it. Numbers get emphasised. Targets get defined. Precision gets framed as success.\n\nAnd for a while, that helps. Until it doesn\u2019t. Why? Well\u2026 because recipes are easy and even kids are artists when they paint by numbers.\n\nThis isn\u2019t about cooking like a pro, or owning the right setup (which we do), or memorising rules. It\u2019s about recognising patterns, understanding what\u2019s normal, and giving the process room to work.\n\nBecause we all know, once we serve a \u201ccoulda been better\u201d, avoidance of that feeling is a very strong motivator\u2026 even if nobody mentions it.\n\nMost of what follows are simply things we notice after cooking long enough. A lot of it we already know, and some of it is hard lessons we have to learn a few times over.\n\nBut they all will make the whole experience a lot more satisfying.\n<h2><strong><b>Part 1. Temperature is a Range<\/b><\/strong><\/h2>\nOne of the first things we eventually learn, usually the hard way, is that food doesn\u2019t care about exact numbers. It never has.\n\nSomewhere along the way, cooking picked up the idea that there\u2019s a temperature where everything suddenly becomes \u201cdone,\u201d and that our job as cooks is to hit that number as accurately as possible. Miss it\u2026 failure. Hit it\u2026 WINNER.\n\nIt sounds simple. Unfortunately, it\u2019s also not how grilling, smoking, or just cooking actually works.\n\nIn the real world, food cooks in <strong><b>ranges<\/b><\/strong>. A pork shoulder wants 195-205 range, a chicken breast 160, while a thigh thrives at 180. None magically transforms at one specific degree. It changes gradually over a span of temperatures. Texture, moisture, and tenderness all move together, not at a single point.\n\nOnce we understand where those ranges live \u2013 and how wide they really are \u2013 a lot of anxiety falls away. We stop hovering, stop chasing, and stop treating the cook like a pass\/fail course.\n<h2><strong><b>Part 2. Cold Meat Lies<\/b><\/strong><\/h2>\nEarly in a cook, almost everything we see is misleading.\n\nCold meat has mass. It absorbs heat, sheds moisture, and for a while dominates the environment around it. During that phase, temperature readings \u2013 especially those labelled \u201cambient\u201d \u2013 behave in ways that feel wrong when precision is what we are chasing.\n\nThe numbers stall, dip and, maddeningly, wander just when what we are looking for is that nice smooth graph. The mistake most of us make is assuming something is broken\u2026 when in reality nothing meaningful has happened yet.\n\nWhat this can lead to, with all of us at some time, is a lot of overcorrection. Vents get adjusted, temps get chased, and the system never settles because we\u2019ve never given it the chance.\n\nWith time, though, we learn that the first part of cooking is mostly about <strong>waiting<\/strong>. Letting the cooker return to balance. Letting the meat warm through. Letting moisture burn off and, if we want to go all metaphysical\u2026 just letting the fire find its rhythm.\n\nIn the end, the hardest adjustment isn\u2019t mechanical. It\u2019s mental. Early readings are mostly just static. Patience teaches us when the signal actually begins.\n\n<a href=\"https:\/\/chef.shangeryou.com\/wp-content\/uploads\/2026\/06\/fire-cooking-the-turkey.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-62014\" src=\"https:\/\/chef.shangeryou.com\/wp-content\/uploads\/2026\/06\/fire-cooking-the-turkey.jpg\" alt=\"Fire cooking the turkey\" width=\"700\" height=\"397\" \/><\/a>\n\nTip: To get accurate readings and monitor your cooking from anywhere, try <span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><a href=\"https:\/\/www.chefstemp.com\/product\/protemp-s1\/\" target=\"_blank\" rel=\"noopener\"><em><strong>the ChefsTemp S1 and its accessories,<\/strong><\/em><\/a> featuring<\/span> ultra-thin probes and a smart mobile app. Click here to see more!\n<h2><strong><b>Part 3. Zones are Real<\/b><\/strong><\/h2>\nThere is no such thing as the temperature inside a cooker \u2013 or especially on grates above live fire or open coals.\n\nEvery grill, smoker, or pit has hot spots, cooler zones, airflow paths, and dead areas. Add meat, and you introduce another variable entirely\u2026 one that changes as the cook progresses. Open the lid, and everything shifts again.\n\nThis is why two probes placed inches apart can give different readings, and both can be telling the truth.\n\nThat doesn\u2019t mean something is wrong. It means heat isn\u2019t uniform, and it never will be.\n\nWhat throws us off is the expectation that temperature should behave like it does in an oven\u2026 flat, even and predictable. Fire doesn\u2019t work that way. It\u2019s dynamic by nature.\n\nOnce we accept that, a lot of frustration disappears. We stop trying to \u201csolve\u201d variation and start reading it instead.\n\nExperience teaches us not to look for agreement between numbers. We start by assessing context: that probe over the coals always reads hotter; the back corner runs cool; and bone-in roasts shade everything around them.\n\nAnd this is why numbers matter. They provide an important piece of the puzzle that supports our ultimate objective\u2026 the compliments to the chef.\n<h2><strong><b>Part 4. Ambient is Context<\/b><\/strong><\/h2>\nAmbient temperature is one of those numbers that feel authoritative.\n\nIt\u2019s right there on the screen. It updates constantly. It looks precise. And because it\u2019s labelled \u201cambient,\u201d we instinctively treat it as a proxy for the entire cooker\u2026 as if it represents the truth of what\u2019s happening everywhere at once.\n\nIt doesn\u2019t.\n\nWhat ambient really shows is a hyperlocal condition \u2013 a snapshot of air temperature in one specific spot, influenced by airflow, proximity to meat, lid position, moisture, and whatever the fire is doing in that moment. That doesn\u2019t make it wrong; it\u2019s probably close to perfect right there.\n\nAnd that distinction matters.\n\nPositionally, ambient can be very important \u2013 especially on long cooks. If we\u2019re trying to hold a cooker steady for ten or twelve hours, a consistent 10- or 15-degree difference between what the dome is reading and what the meat is actually experiencing isn\u2019t noise. Over time, that gap can affect rendering, moisture loss, and the predictability of the cook hour after hour.\n\nWhere ambient gets us into trouble is when we treat it like a command instead of a clue. The number moves, so we move. It dips, so we react. It drifts, so we correct. Before long, we\u2019re chasing stability that never arrives \u2013 not because the cooker is misbehaving, but because it\u2019s responding to a stack of tiny interventions.\n\nWith experience, something shifts. We stop asking, \u201cWhat is this number telling me to do?\u201d and start asking, \u201cDoes this make sense given what I already know?\u201d\n\nAmbient becomes context. It tells us whether things are generally hotter or cooler than expected, whether airflow changed after a lid opening, and whether the fire is settling or waking up. It helps us anticipate rather than command.\n\nUsed that way, ambient is incredibly helpful.\nUsed as an authority, it\u2019s exhausting at best \u2013 and potentially a real problem at worst.\n<h2><strong><b>Part 5. Carryover is The Devil<\/b><\/strong><\/h2>\nAlmost everyone learns about <strong><a href=\"https:\/\/www.chefstemp.com\/why-meat-still-pink-understanding-carryover-cooking-with-thermometers\/\" target=\"_blank\" rel=\"noopener\"><em>carryover cooking<\/em><\/a><\/strong><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"> at least once,<\/span> the hard way. Some of us still can\u2019t quite master it\u2026 especially with a nice thick ribeye headed for a medium-rare reverse sear.\n\nThe moment usually looks like this: the meat is close, the number is climbing, and you\u2019re waiting for confirmation. Just a few more degrees. Just to be safe. Just to be sure.\n\nSo you wait. Then you pull it. And then it keeps cooking.\n\nThicker cuts, like a big ribeye or a pork loin, carry a lot of stored heat. The fire may be gone, but the momentum isn\u2019t.\n\nWhat makes carryover tricky isn\u2019t understanding it \u2013 the burning memories make that easy.\n\nBut, watching numbers in real time makes it tempting to wait for perfection instead of planning for what comes next. Tools that provide constant feedback can unintentionally reinforce that instinct. We wait for the screen to bless the decision instead of relying on what experience has already taught us.\n\nOver time, most of us adjust. We learn that pulling a little early almost always works out better than waiting a little too long. We learn which cuts coast and which stop quickly. We learn when to trust feel, time, and trend instead of confirmation.\n\nThat\u2019s not guesswork.\nThat\u2019s hard-earned memory.\n\nCarryover cooking doesn\u2019t reward precision at the last second. It rewards judgment just a few degrees earlier.\n<h2><strong><b>Part 6. Stall is a Fickle Lover<\/b><\/strong><\/h2>\nIt is happy to show up uninvited and stay just long enough to make you question every life choice that led you to brisket. It usually kicks in somewhere in the 150\u2013170 range, then just sits there while your fire\u2019s fine and your sanity slowly melts.\n\nThe temperature flattens. Time estimates slip. Progress feels stalled. And the longer it lasts, the louder that internal voice gets\u2026 the one suggesting that something must be wrong.\n\nThat\u2019s usually about the time we start pacing, checking vents, and questioning every decision that got us here.\n\nIt feels like failure because it interrupts momentum. We expect linear progress, and when it disappears, we\u2019re dealing with uncertainty. And, at that point, we are just looking for intervention.\n\nBut most stalls aren\u2019t problems. They\u2019re phases.\n\nMoisture is evaporating. Heat is being absorbed. Energy is being redirected. All of that takes time, and none of it shows up neatly on that graph. From the outside, it looks like nothing is happening. Inside the cooker, though, quite a lot is going on.\n\nWhat often makes stalls worse is trying to force them to end. Raising temperatures aggressively. Making multiple adjustments. Chasing movement instead of understanding the cause.\n\nExperience changes the way we read stalls. We start to recognise when one is normal and when it actually needs help. We learn which cuts stall hard, which barely stall at all, and which ones just take their time no matter what we do.\n\nMost importantly, we learn that patience isn\u2019t passive. It\u2019s an active decision to trust the time-honoured tradition of waiting it out.\n\nThe cook isn\u2019t stuck.\nIt\u2019s just busy doing something we can\u2019t see yet.\n\n<a href=\"https:\/\/chef.shangeryou.com\/wp-content\/uploads\/2026\/06\/chefstemp-on-kamado-joe.jpeg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-62013\" src=\"https:\/\/chef.shangeryou.com\/wp-content\/uploads\/2026\/06\/chefstemp-on-kamado-joe.jpeg\" alt=\"ChefsTemp on Kamado Joe\" width=\"700\" height=\"525\" \/><\/a>\n\nTip: Click here to learn more about <em><strong><a href=\"https:\/\/www.chefstemp.com\/how-to-check-an-internal-meat-temperature\/\" target=\"_blank\" rel=\"noopener\">checking an internal meat temperature<\/a><\/strong><\/em> if interested.\n<h2><strong><b>Part 7. And Finally, Data is Good<\/b><\/strong><\/h2>\nOne of the most underrated benefits of good temperature data \u2013 wired, wireless, or otherwise \u2013 isn\u2019t better food.\n\nIt\u2019s a better experience.\n\nWhen the information is reliable and placed where it actually matters, it takes pressure off the cook. We don\u2019t have to hover. We don\u2019t have to keep lifting the lid or second-guess whether the fire is still alive or whether things are generally moving in the right direction.\n\nThat reduction in uncertainty matters more than people realise.\n\nCooking over fire has always involved a little tension. There\u2019s heat we can\u2019t see, processes we can\u2019t rush, and outcomes we really care about\u2026 especially when other people are waiting. Good data doesn\u2019t eliminate that tension, but it certainly lowers the volume.\n\nIt lets us step away without feeling disconnected \u2013 trusting the setup we\u2019ve built instead of constantly checking on it. It turns long cooks from something we supervise into something we participate in\u2026 ideally with our family and guests.\n\nAt some point, most of us realise that the goal isn\u2019t to manage the cook every minute. It\u2019s about building a system we trust\u2026 and then letting it work.\n\nGood tools\u2014wireless probes, fans, whatever\u2014don\u2019t make that happen on their own. But they do make it a whole lot easier to enjoy the appreciation.\n\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time, many of us discover the same thing: the cooks that consistently turn out well aren\u2019t the ones making<\/p>","protected":false},"author":1,"featured_media":6589,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[248],"tags":[],"class_list":["post-6588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chefs-saychefs-insight"],"acf":[],"_links":{"self":[{"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/posts\/6588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/comments?post=6588"}],"version-history":[{"count":3,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/posts\/6588\/revisions"}],"predecessor-version":[{"id":7858,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/posts\/6588\/revisions\/7858"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/media\/6589"}],"wp:attachment":[{"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/media?parent=6588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/categories?post=6588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/chef.shangeryou.com\/fr\/wp-json\/wp\/v2\/tags?post=6588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}