Where are the all the swing states really? There may be more than you think.

Several states have consistently seen close margins in major statewide elections: [From Presidential statewide margins of victory of five percentage points or fewer, 1948-2024]

• Arizona
• Georgia
• Michigan
• Nevada
• North Carolina
• Pennsylvania
• Wisconsin

But other states have had competitive statewide races where the winner received less than 56% of the vote since 2020. Here are some of them:

• Alaska 2022 2020P
• Colorado 2020
• Florida 2024 2020P
• Iowa 2020
• Kansas 2022G
• Maine 2024 2020
• Maryland 2024
• Minnesota 2020
• Mississippi 2020
• Montana 2024
• Nebraska 2024
• New Hampshire 2024 P/H/G 2020P
• New Jersey 2024
• New Mexico 2024 2022 2020
• New York 2022G
• Ohio 2024 2022
• Oklahoma 2022
• Oregon 2022G
• Texas 2024 2022G 2020S 2020P
• Utah 2024G 2022
• Virginia 2024P

Note: many of the above won with less than 50%. Especially if you take the number of votes received of those registered instead of those who voted, much less the population. Some examples from here in Texas, which is generally considered a GOP stronghold because the GOP has been narrowly winning elections for the last 3 decades:

In 2018, just 52.72% of the 15,793,257 registered voters voted.

Of the 8,371,655 votes

Cruz got 4,260,553, 50.89% of the votes, or 26.9% of registered voters, or about 15% of the population.

Beto got 4,045,632, 48.33%

3rd party 65,470, 0.78%

In 2022, of 8,065,054 votes from 17,672,916 registered voters:

Abbott got 4,437,099, 54.76% of the votes, or 25% of registered voters, or about 15% of the population.

Beto got 3,553,656

3rd party 110,028

Note ~200K voted for Abbott but not for others down ballot, and ~100K voted for Beto but not down ballot.

Looking at the 2026 primaries with 18,657,918 registered voters:

Paxton won the primary runoff with 4.74% of registered Texans voting for him. 885,949 to 501,725 votes. Interestingly, in the primary election, Paxton got 878,564 to Cornyn's 910,382 and 377,964 for other GOP. So in the runoff, effectively, Cornyn lost almost half his voters along with all the other voters staying home, but Paxton only lost a few. Generally, this is attributed to Trump endorsing Paxton at the last minute. The real question is that good or bad for Paxton?

The Dems, by contrast, received  2,319,187 total primary votes to the GOP's 2,166,910. While the Dem primary was close, the second-place candidate quickly shifted to support the winner, avoiding a runoff. This would seem to indicate this Senate seat is in play, with many GOP voters unwilling to vote for Paxton while Dems appear to be more focused on winning than they have been in decades.

Cronometer. a MyNetDiary replacement review

 So far, Cronometer is almost as good as MyNetDiary was before the recent changes. Some basic research suggests it is the current favorite among most people.

Core Feature Comparison

Feature	Cronometer	MyNetDiary	MyFitnessPal
Best For	Athletes, clinical diets, and strict micronutrient counting	General weight loss, diabetics, and fast, frictionless logging	Large social circles, recipe inspiration, and restaurant menus
Food Database	~1.1M verified items (USDA/NCC)	Over 2M staff-verified items	~20M+ items (largely crowdsourced/user-generated)
Barcode Scanner	Free (no premium required)	Free	Premium only
Free Tier	Basic app with ads	Ad-free, highly capable	Ad-supported, basic tracking

Feature Breakdown for Trend Tracking

1. Cronometer (The Analytical Choice)

• Custom Biometrics: Create personal metrics (e.g., "Bloating Scale 1-10", "Brain Fog") to track alongside your food.
• Advanced Charting: Overlay any two variables—such as charting your iron intake against your daily energy levels over a 90-day period.
• Gastrointestinal Tracking: Includes specific, built-in features to monitor caffeine, alcohol, and symptom flare-ups.

2. MyNetDiary (The Visual Choice)

• Pre-made Dashboards: Offers excellent, clean charts for weight, blood glucose, and standard macronutrients (carbs/fats/protein).
• Limited Custom Correlation: Tracks standard health metrics beautifully, but lacks the deep, multi-variable correlation tools needed to spot subtle, custom cause-and-effect trends.

3. MyFitnessPal (The Baseline Choice)

• Basic Premium Graphs: Shows general macro and calorie trends over time.
• Data Hurdles: The massive amount of unverified, user-generated food data creates "noise" that can heavily skew your weekly and monthly nutrient trend lines.

A couple of things I would change/add to be more like the old MyNetDiary:

• Medications need to be either added as a food or a biometric. There ought to be a separate grouping for medications. Digging pills from other lists seems unnecessary. Especially if you take a lot of pills every day.
• An optional note field on biometric and medication entries would be less confusing. You can add a note like the comment entry in MyNetDiary, but you need to match it on the timestamp to know they go together. Having it in the entry form or having labels, again like MyNetDiary, would make seeing what hurt or why you took a medicine a lot easier.

Otherwise, it is very much like the old MyNetDiary with similar device support, charts, and logging of food and measurements. It also adds fasting, though I don't need that. The biometrics are not sortable, but they do auto-sort by most recently used, which makes it pretty simple to find all your morning options near the bottom of the list in the morning and the evening ones at night.

Both are $59.99/yr.

One of the things I am looking forward to trying is having AI look for possible things that might affect how I feel. 

Research on this yields:

Cronometer is the best choice for discovering cause-and-effect relationships due to its highly accurate, lab-verified food database and advanced data correlation tools.

To find true correlations (e.g., how a specific food affects your energy, sleep, or digestion), your data must be flawless. Crowdsourced apps often have massive errors in their food libraries, which ruins data analysis. Cronometer manually verifies every single entry, making its data reliable enough for clinical studies.

Here is how the three apps compare specifically for tracking trends, causes, and effects:

Feature	Cronometer	MyNetDiary	MyFitnessPal
Data Accuracy	Highest (Lab-verified entries only)	High (Verified, but some crowdsourcing)	Lower (Massive, user-generated database)
Custom Biometrics	Yes (Track symptoms, mood, pain, etc.)	Limited (Mainly standard health metrics)	No (Strictly weight and basic measurements)
Trend Analytics	Advanced (Chart overlays for any variables)	Moderate (Standard progress charts)	Basic (Calorie and weight graphs)
Export Formats	CSV & Data Share (Full raw data access)	PDF reports (Visually clean, less flexible)	Premium CSV (Basic daily summaries)

How to Use Cronometer for Cause-and-Effect Tracking

To effectively map out your health trends, combine Cronometer's AI logging with its custom tracking features:

• Use the AI Logger for speed: Snap photos or type descriptions using the natural language AI to keep your log complete. Missing days or meals will break your trend lines.
• Create custom biometrics: Do not just track weight. Go to the biometrics tab and add custom scales for energy levels, bloating, skin breakouts, or sleep quality on a scale of 1 to 10.
• Overlay charts in the dashboard: Use the desktop web portal to build custom charts. You can plot Vitamin D intake vs. Sleep Quality or Sugar Intake vs. Energy Crashes over a 30-day or 90-day window to visually spot the exact moments a cause triggers an effect.
• Sync external hardware: Connect wearable devices (like Apple Health, Oura, or Garmin) to automatically pull in biometric effects like resting heart rate or sleep stages alongside your food data.