Reading ComprehensionDifficulty: Easy

PT130 S2 P2 Q10 Explanation

Philip Emeagwali

A free, expert breakdown of this official LSAT Reading Comprehension question.

TopicsNon-Author OpinionScience

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Passage

This passage was adapted from articles published in

The success that Nigerian-born computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve real-world problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.

To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and gather and broadcast the largest quantity of messages to its processing points in the shortest time.

In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computer’s design is based on the geometry of bees’ honeycombs, which use an extremely efficient three-dimensional spacing. Emeagwali believes understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.

What this question is testing

Non-Author Opinion

Your task

Pin down exactly what the question asks about the passage — a detail, the author's view, the structure, or the main point — before looking at the choices.

Common trap

Answers that restate a true detail from the passage but don't answer the specific question being asked.

Winning move

Anticipate the answer in your own words from the passage, then find the choice that matches that prediction.

Reading along? Open the full official question in LawHub — we show a fragment here and keep the reasoning in our own words.

The question
10.

The passage most strongly suggests that Emeagwali holds which one of the

Answer choices

  1. Correct81% picked this

    Some natural systems have arrived at efficient solutions to problems that are analogous in significant ways to technical

    Why this is right

    This seems to nicely echo the sentiments in our Support Window, the final two sentences of the passage. He thinks that nature can provide "elegant (efficient) solutions to our complex technical problems". He thinks that better understanding how natural systems have solved certain problems will thereby facilitate computer scientists to find solutions to the problems they're facing. This answer is also lovably weak -- some natural systems are meaningfully analogous.

    Skill tested: Non-Author Opinion · how this choice captures the passage's function is the move to repeat next time.

  2. Contradicted0% picked this

    Global weather is likely too complicated to be accurately predictable more than a few

    Not only does this not look appealing at first blush, because it's not addressing the concepts from our Support Window, but it actually seems contradicted by the first sentence of the final paragraph. There, Emeagwali is claiming that parallel computers will be powerful enough to predict global weather a century in advance.

  3. Too Strong: most12% picked this

    Most computer designs will in the future be inspired by

    Ah, the ol' answer killer "most" (and its family ... usually, generally, typically, tends to). Emeagwali thinks that computer scientists will increasingly look to natural systems for inspiration, but that could mean they're going from being inspired by natural systems 10% of the time to being inspired by natural systems 25% of the time. He hasn't committed to the view that over 50% of computer designs will be inspired by nature.

  4. Out of Scope: mundane tasks2% picked this

    Massively parallel computers will eventually be practical enough to warrant their use even in relatively

    We don't have any line reference to justify the idea that we'll use a massively parallel computer to make a PowerPoint presentation.

  5. Too Strong: primarily5% picked this

    The mathematical structure of branching trees is useful primarily for designing computer systems to predict the flow of

    If we got read of "primarily" then this answer choice is great, but Emeagwali has never gone out on a limb (ooh, no pun intended) and said that the #1 usefulness of the math of tree branching is for predicting oil flow.

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