Transitioning from the treadmill to outdoor runs.

I've been able to establish a good rhythm on the treadmill and a good pace. Running continuously for about an hour at 6.2mph. But I have just started running outside and it almost feels like I am starting from nothing again as I am finding the changes in elevation and the treadmill not acting as the propeller a real challenge and a very big hurdle. Any tips on helping with this transition? I have my first 10K in 2 months so I want to make sure i can handle the outdoor elements that the treadmill does not pose.

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u/MetricsInMotion — 24 hours ago

49M using AI to help train for my first 10K → half → marathon. Experienced runners, critique my plan.

I’m 49 and relatively new to running. I’ve set myself a progression of:

Oct 2026: 10K, sub-60 minimum goal
Spring 2027: Half marathon, sub-2:15 minimum
Fall 2027: Marathon, sub-4:30 minimum

The times are floors, not ceilings. If my fitness develops faster, the goals move with it.

I’m using AI as essentially a training partner/coach. After workouts I feed it my pace, HR, distance, strength work, how the run felt, any pain, and next-day recovery. We use that to adapt the training rather than blindly following a fixed plan.

Right now I run every other day and strength train as well. My latest treadmill run was 44 min / 5.85 km, finishing with time at 6.0 mph, average HR 132, no pain issues and excellent next-day recovery.

I've mostly been doing progression runs so far, but we're now moving into a phase with easy/endurance runs, intervals, tempo/progression work and gradually longer runs. The plan is to eventually exceed 10K in training before my October race.

I’d love some experienced runners to poke holes in this approach.

Am I progressing appropriately? Anything missing? Anything you would change now before the mileage starts getting much higher?

I'm particularly interested in whether using workout performance + next-day recovery to drive progression makes sense, and whether you see any blind spots in an AI-assisted training approach.

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u/MetricsInMotion — 6 days ago

How should an anomaly detection model explain behavioural risk to a human investigator?

I am working with an anomaly detection model that evaluates employee transaction behaviour over time. The model can identify when someone’s overall behaviour deviates from their peers and can provide the features that contributed most to the anomaly.

The technical output may be valid, but translating it into something actionable for an investigator is challenging. For example, one employee may have several mildly unusual days that accumulate into a high risk score, while another may have one or two extreme days. Both may be flagged, but they represent very different investigative stories.

For those who have worked with anomaly detection or risk scoring systems:

  1. How do you distinguish between persistent low level deviation and isolated severe events in the model output?
  2. Should the system explain the statistical reason for the anomaly, or attempt to describe the behavioural pattern in plain language?
  3. What information would you show an investigator so they can understand why the person was flagged and where to begin their review?
  4. Have you found effective ways to measure whether an anomaly is merely unusual versus genuinely worth investigating?
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u/MetricsInMotion — 14 days ago

My shrink is great, but my KPIs are still being challenged.

The shrink for my district is the best it has ever been, and I am well under the company goal. But my VP is still challenging me that I am not bringing in enough cases. I hardly ever get any tips from employees. Where should I invest my time to generate more cases?

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u/MetricsInMotion — 14 days ago
▲ 81 r/Habs

Who was a personal favourite player from your childhood that wasn't one of the star players? Maybe a support player or an under-appreciated player?

Because we shared the same initials and played the same position, mine is Steve Penney.

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u/MetricsInMotion — 14 days ago

I know there is some cash theft happening but can't find the evidence. Where do I start?

They are taking money from the registers but don't know how they are doing it. We do lots of cash business and I can't sit there and watch cameras all day.

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u/MetricsInMotion — 20 days ago

Would you trust a risk score if the system could not clearly explain what drove it?

Or do you want to see exact calculations, contributing factors, peer comparisons or a plain-language explanation?

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u/MetricsInMotion — 20 days ago

What % of your exception reports does you realistically review every week?

How much noise do you have to deal with before you find anything worth investigating?

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u/MetricsInMotion — 20 days ago

Why doesn't my dad love me?

I grew up in a household where my parents never showed any affection. I never felt loved, or cared about, or that I mattered. Fast forward 35 years later and my parents divorce. I told my father that I didn't want him to disappear from my life. I wanted him to be in my life and in his grandkids' life. But after that I was always the only one making an effort, he never did. I decided to test to see how long he would go before reaching out to me. Kids birthdays went by, my birthday went by, Christmas went by, and zero effort from him. Its been 8 years now and we still haven't spoken. I guess he confirmed that I never mattered. I am still angry that I can't let this go. I thought about confronting him but I know that he won't be able to give me an answer to will satisfy me. Why can't I let this go? (BTW, relationship with my mother is good, she answered a lot of my questions. Still some resentment for her choosing him over her own kids but thats a whole different story)

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u/MetricsInMotion — 21 days ago

How has your department changed in the past 5 years?

Less head count? More reliant on AI and technology? A shift from audits and investigations to TRL? The attack on ORC? All of the above....

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u/MetricsInMotion — 21 days ago