Why can't I include certain nutrition days in my Nutrition Check-In?

What changed?

In previous versions of BWS+, users could manually include nutrition days that fell below 80% of their calorie target.

During the Nutrition Check-In, these days would appear in a review section where users could choose whether they should be included in the calculation.

This option is no longer available.

If you've used the app previously, you may notice that days below the 80% threshold are now automatically excluded from the check-in process.

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Why was this feature removed?

The short answer is that the Nutrition Check-In now uses a much larger dataset than it did previously.

Earlier versions of the check-in relied heavily on the most recent week's data. Because the sample size was relatively small, users were given the option to manually include low-calorie days if they felt those days accurately reflected their intake.

Today, the system can consider up to 90 days of historical nutrition and weight data when estimating your maintenance calories and generating recommendations.

Because we're working with a much larger dataset, individual low-calorie days have significantly less impact on the overall calculation. In fact, manually adding these days often introduces more noise than useful information.

For example, a day below 80% of your target could represent:

• A fasting day
• A partial food log
• A missed meal entry
• An unusually busy day
• An intentional low-calorie day

The system cannot reliably distinguish between these situations.

By excluding these days and relying on longer-term nutrition and weight trends instead, the app is able to generate more stable and accurate recommendations over time.

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What if I intentionally fast / undereat every week?

This is one of the most common questions we receive.

Many users follow nutrition approaches that include:

• Intermittent fasting
• One fasting day per week
• Multiple fasting days per week
• High-calorie and low-calorie cycling throughout the week

The good news is that the check-in already accounts for this behaviour. The Nutrition Check-In is not trying to judge individual days in isolation. Instead, it looks at the relationship over time between:

• Your average calorie intake
• Your body weight trend
• Your selected rate of gain or loss

For example:

Let's say your assigned calorie target is 2,500 calories per day.

However, you intentionally fast twice per week and eat more on the remaining days.

If your weight trend consistently matches your selected Fat Loss goal, the app will recognize that your current approach is working.

The fasting days don't need to be manually added back into the calculation because their effects are already reflected in your weekly calorie intake and your resulting weight trend.

In other words:

The app cares less about how you distribute your calories throughout the week and more about the outcome those habits produce over time.

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Won't excluding these days make my calorie recommendations inaccurate?

In most cases, no.

Because the Nutrition Check-In uses a larger historical dataset and continuously compares your calorie intake against your weight trend, the system is far more influenced by long-term patterns than by any single day.

This means that:

• One fasting day won't significantly impact your recommendations.
• One unusually high-calorie day won't significantly impact your recommendations.
• One missed food log won't significantly impact your recommendations.

The longer and more consistently you log your nutrition and body weight, the more accurately the system can estimate your maintenance calories and adjust your targets.

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What should I do instead?

The best thing you can do is continue to:

• Log your nutrition as accurately as possible.
• Log your body weight consistently.
• Follow the approach that works best for your lifestyle and your goal.
• Focus on the long-term trend rather than individual days. It's a marathon remember, not a sprint.

The Nutrition Check-In is designed to adapt to your real-world habits over time, including approaches such as fasting, calorie cycling, and other eating patterns that may not look identical every day.

As long as your logging remains reasonably accurate and consistent, the system will continue refining its recommendations based on the results you're actually achieving.