Good Win with the Dutch Defense

On February 2, 2011, in Chess, by Robert Dallison

Finally after a “drought” of several months I pulled off a solid win as black using the Dutch Defense.

I favor the Dutch – and the Bird (1. f4) when playing white – because these systems make for dynamic play with several centers of activity. However, I don’t get to use the Dutch very often, because not many people open with 1. d4.

In this game I feel I gained the upper hand early. White’s moves 5. e4 and 9. dxe4 gave me the idea of bracketing the white king via the open d and f files.

Once white exchanged his knight for my bishop (11. Nxe7+) I felt the game was going my way. I like to keep my knights as long as possible in the Dutch/Bird systems. The pawn structures tend to hang around for a long time, blocking the diagonals and cramping the bishops. So having a knight against a bishop often proves to be a significant advantage.

12. … Be6 and 13. … Na6 connect my rooks, and on the next move I take ownership of the d-file, preparing to mount my assault up the center.

White realizes it’s high time to castle, but some diversionary attacks on his queen give me tempo to bring up the artillery and block his king in the center of the board. The game is not won at this point, but I certainly have a strong positional advantage…

I could not have anticipated white’s blunder 18. Nc3?? – but even without that, I think the game would have gone my way had we played it out. For example, 18. Qxd4 Nc2+ 19. Nxd4 definitively removes white’s castling option, and leaves his king rather exposed in the center.

It’s quite satisfying to win a game like this against a player rated 100 points higher!

If anybody reading this blog would like to play a game or two of chess, just sign up at chess.com and look for me there, my ID is rdallison.

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Is Chess a Right-Brain Activity?

On January 11, 2011, in Chess, by Robert Dallison

According to this New Scientist article, MRI analysis shows that chess grandmasters’ brains work differently from those of chess novices, when deciding whether any of the pieces in a given position are in check.

“Bilalic [the researcher] had expected the expert players to use a faster version of the processing mechanism used by novices.”

I find this assumption surprising, especially because Merim Bilalic appears to be a FIDE Master ranked 76th in his country. Of course that could just be a coincidence…

It is widely known that grandmasters develop a holistic view of the board, instinctively recognizing patterns that they have seen thousands or millions of times before, and interpreting the chess position as a visual map of zones of influence and threat. By contrast, the novice will typically take a more analytical approach, leading to a laborious square-by-square evaluation of the position.

Basically it’s a classic left-brain / right-brain scenario, and the grandmasters are able to recruit both sides of the brain to process the problem intuitively and analytically at the same time. In much the same way, an experienced mathematician will “see” a proof intuitively, in parallel to (or even before) actually working it through step by step.

I’m looking forward to seeing the original research paper when it’s published in PLoS One, and finding out who the grandmasters were who participated in the experiment!

Also it would be interesting to see if there is a correlation between a chess player’s official rating, and their ability to perform well in right-brain (holistic, intuitive) tasks unrelated to chess. Do any readers have pointers to such research? Feel free to comment…

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Follow my training on DailyMile

Last Run

3.12 mi

00:29 /09:11 pace

Quite an improvement since my last run 4 weeks ago. It took me a couple of kms to settle into a sustainable rhythm, but I was able to maintain the same pace all the way to the end. posted 3 days ago

Week Miles
0 mi
2017 Miles
10 mi
Total Miles
1971 mi
total distance logged social training log
1971 mi

Running PRs

5K - 23:17 (Oct 16, 2010)
5K - 23:37 (Mar 13, 2010)
5K - 26:23 (May 23, 2009)
10K - 49:09 (Oct 3, 2010)
10K - 49:36 (Nov 26, 2009)
10K - 51:36 (Oct 4, 2009)
13.1 - 1:46:28 (Mar 07, 2010)
13.1 - 1:52:23 (Nov 13, 2009)
26.2 - 3:53:49 (Jan 30, 2011)
26.2 - 4:39:14 (Jan 31, 2010)

Running Goals

5K - 22:00
10K - 45:00
13.1 - 1:40:00
26.2 - 3:45:00
Feb 2012, four marathons in 4 days
May 2012, ten marathons in 10 days