Pips Answer for Saturday, January 24, 2026
Complete NYT Pips puzzle solution with interactive board and expert analysis.
Click a domino below or a cell on the board to reveal
Expert Puzzle Analysis
Deep insights from puzzle experts
Nyt Pips easy answer for 2026-01-24
Answer for 2026-01-24
I started by tackling the Easy puzzle first to warm up. I looked at the constraints for the regions and noticed the 'less than 2' and 'greater than 2' conditions, which immediately narrowed down the possible domino placements for the [3,1] and [2,3] pieces.
By checking the sums and equality regions, I could see where the [6,6] had to sit because it's such a large value. Once the anchors were in place, the rest of the dominoes fell into line based on the remaining space. Moving to the
Nyt Pips medium answer for 2026-01-24
Answer for 2026-01-24
Medium puzzle, I focused on the 'sum to 6' regions. Since I had dominoes like [3,3] and [4,2] equivalents, I had to be careful not to overlap.
The equality constraint between indices [2,1] and [3,1] was the key break-in point there. Finally,
Nyt Pips hard answer for 2026-01-24
Answer for 2026-01-24
for the Hard puzzle, I looked for the most restrictive sums first. The sum of 0 and the sum of 1 are very limiting, so I placed those early.
The 'greater than 21' region was the biggest challenge, requiring the highest value pips left in the pool. I used a process of elimination for the 'equals' regions that spanned four cells, ensuring the values matched the available domino halves. It took a bit of back-and-forth shifting, but the logic held up.
What I Learned
One thing that really stood out today was how the 'empty' cells act as natural barriers that define the board's flow. In the Hard puzzle, the way the 'equals' regions were shaped forced a specific orientation for the longer dominoes.
I also realized that whenever you see a very high sum requirement, like the 21 in the hard set, you should immediately look at your 5s and 6s because there is almost no other way to reach that total. It’s a great reminder to always scan for the most extreme constraints first.