The 30 Second Reset - Because Your Dog Knows #326

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Sometimes what we need most in dog training is a simple 30-second reset, because our dogs know far more about our emotional state than we realize. In this episode, I'm sharing why your emotional resilience and nervous system can have a greater influence on your dog's behavior than any training plan, treat, or technique. Our dogs are incredibly sensitive to our emotional state, and when frustration, anxiety, or disappointment creeps in, they feel it long before we realize it. I also share a personal story about training through grief after losing my dog Twister and the simple three-step strategy I use to reset when strong emotions show up so we can move forward with clarity and connection.

 

In this episode, you'll hear:

 

• Why emotional resilience may be the most powerful antecedent in dog training.
• How your nervous system influences your dog more than you might realize.
• My personal story of training through grief after losing my dog, Twister.
• A real example of anxiety showing up before competition and my 3-step strategy to regulate emotions in the moment.
• Why behavior should be viewed as data rather than judgment and how to turn that data into a thoughtful training plan.
• Why emotional resilience is a skill that strengthens with practice.
• How giving yourself grace can transform both your training and your relationship with your dog.
 

Resources:

 

1. Podcast Episode 245: Make Dog Training Easy! Quick Guide To Antecedent Arrangements - https://dogsthat.com/podcast/245/
2. Podcast Episode 230: Finding Joy Amidst Frustration And Shame In Dog Training – DeCaff's Story Part 2 - https://dogsthat.com/podcast/230/
3. Podcast Episode 287: The Power Of Perception: Reframing Dog Training Setbacks Into Successes - https://dogsthat.com/podcast/287/
4. Podcast Episode 266: Hot Zone And Stays – How One Dog Training Nuance Can Fix Anxiety And Duration - https://dogsthat.com/podcast/266/
5. Watch this Episode of Shaped by Dog on YouTube - https://youtu.be/b0o2d-QLrQM