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Secrets of the Swarm Reading Answers, IELTS Passage

Secrets of the Swarm Reading Answers discovers how swarm behaviour in ants, bees, and termites influences human decision-making, business strategies, and internet collaboration.
authorImagePorishmita .17 Mar, 2025
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Secrets of the Swarm Reading Answers

Secrets of the Swarm Reading Answers: The concept of swarm intelligence is a common topic in the IELTS Reading section. It often explores how collective behavior in animals like ants, bees, and termites can offer valuable lessons for human decision-making, business models, and technological improvements.

Practicing Secrets of the Swarm IELTS Reading Answers helps candidates become comfortable with question types such as True/False/Not Given, Matching Sentence Endings, and Flow Chart Completion. Gaining insight into how swarm behavior impacts both natural and human systems is key to answering these questions accurately.

This guide includes a sample IELTS Reading passage on Secrets of the Swarm with detailed answers and explanations to help IELTS 2025 candidates improve their preparation.

Secrets of the Swarm Reading Answers Passage

You should spend about 20 minutes on Questions 1-13, which are based on the Reading Passage below.

Secrets of the Swarm Reading Answers

A. Insects, birds and fish tend to be the creatures that humans feel furthest from. Unlike many mammals they do not engage in human-like behaviour. The way they swarm or flock together does not usually get good press coverage either: marching like worker ants might be a common simile for city commuters, but it’s a damning, not positive, image. Yet a new school of scientific theory suggests that these swarms might have a lot to teach us.

B. American author Peter Miller explains, ‘I used to think that individual ants knew where they were going, and what they were supposed to do when they got there. But Deborah Gordon, a biologist at Stanford University, showed me that nothing an ant does makes any sense except in terms of the whole colony. Which makes you wonder if, as individuals, we don’t serve a similar function for the companies where we work or the communities where we live. Ants are not intelligent by themselves. Yet as a colony, they make wise decisions. And as Gordon discovered during her research, there’s no one ant making decisions or giving orders.

C. Take food collecting, for example. No ant decides, ‘There’s lots of food around today; lots of ants should go out to collect it. Instead, some forager ants go out, and as soon as they find food, they pick it up and come back to the nest. At the entrance, they brush past reserve foragers, sending a ‘go out’ signal. The faster the foragers come back, the more food there is and the faster other foragers go out, until gradually the amount of food being brought back diminishes. An organic calculation has been made to answer the question, ‘How many foragers does the colony need today? And if something goes wrong – a hungry lizard prowling around for an ant snack, for instance – then a rush of ants returning without food sends waiting reserves a ‘Don’t go out’ signal.

D. But could such decentralised control work in a human organisation? Miller visited a Texas gas company that has successfully applied formulas based on ant colony behaviour to ‘optimise its factories and route its trucks. He explains, ‘if ant colonies had worked out a reliable way to identify the best routes between their nest and food sources, the company managers figured, why not take advantage of that knowledge? So they came up with a computer model, based on the self-organising principles of an ant colony. Data is fed into the model about deliveries needing to be made the next day, as well as things like weather conditions, and it produces a simulation determining the best route for the delivery lorries to take.

E. Miller explains that he first really understood the impact that swarm behaviour could have on humans when he read a study of honeybees by Tom Seeley, a biologist at Cornell University. The honeybees choose as a group which new nest to move to. First, scouts fly off to investigate multiple sites. When they return they do a ‘waggle dance’ for their spot, and other scouts will then fly off and investigate it. Many bees go out, but none tries to compare all sites. Each reports back on just one. The more they liked their nest, the more vigorous and lengthy their waggle dance and the more bees will choose to visit it. Gradually the volume of bees builds up towards one site; it’s a system that ensures that support for the best site snowballs and the decision is made in the most democratic way.

F. Humans, too, can make clever decisions through diversity of knowledge and a little friendly competition. ‘The best example of shared decision-making that | witnessed during my research was a town meeting | attended in Vermont, where citizens met face-to-face to debate their annual budget, explains Miller. ‘For group decision-making to work well, you need a way to sort through the various options they propose; and you need a mechanism to narrow down these options. Citizens in Vermont control their municipal affairs by putting forward proposals, or backing up others’ suggestions, until a consensus is reached through a vote. As with the bees, the broad sampling of options before a decision is made will usually result in a compromise acceptable to all. The ‘wisdom of the crowd’ makes clever decisions for the good of the group – and leaves citizens feeling represented and respected.

G. The Internet is also an area where we are increasingly exhibiting swarm behaviour, without any physical contact. Miller compares a wiki website, for example, to a termite mound. Indirect collaboration is the key principle behind information-sharing websites, just as it underlies the complex constructions that termites build. Termites do not have an architect’s blueprint or a grand construction scheme. They simply sense changes in their environment, as for example when the mound’s wall has been damaged, altering the circulation of air. They go to the site of the change and drop a grain of soil. When the next termite finds that grain, they drop theirs too. Slowly, without any kind of direct decision-making, a new wall is built. A termite mound, in this way, is rather like a wiki website. Rather than meeting up and talking about what we want to post online, we just add to what someone – maybe a stranger on the other side of the world – already wrote. This indirect knowledge and skill-sharing is now finding its way into the corridors of power.

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Secrets of the Swarm Reading Answers Sample Questions

Questions 1–6

Do the following statements agree with the information given in the passage?
In boxes 1–6 on your answer sheet, write:

  • TRUE if the statement agrees with the information

  • FALSE if the statement contradicts the information

  • NOT GIVEN if there is no information on this

  1. Individual ants have a clear understanding of their specific role in the colony.

  2. Ant colonies have a single leader that directs the actions of other ants.

  3. The ‘waggle dance’ of honeybees helps the colony decide on a new nest location.

  4. The decision-making process among honeybees is similar to that of human business meetings.

  5. Termites build their mounds based on a carefully planned structure.

  6. Internet collaboration resembles swarm behaviour in insects.

Questions 7–9

Complete each sentence with the correct ending (A–E) below.
Write the correct letter (A–E) in boxes 7–9 on your answer sheet.

  1. A gas company in Texas applied ant behaviour principles to...

  2. The town meeting in Vermont demonstrated that...

  3. The growth of information-sharing websites shows that...

Endings:
A. effective decisions can be reached through shared knowledge and consensus.
B. honeybee decision-making is more democratic than human decision-making.
C. complex decisions can be managed without direct human input.
D. ants rely on communication to determine the best food sources.
E. improve the efficiency of delivery routes.

Questions 10–13

Complete the flow chart below.
Choose NO MORE THAN TWO WORDS from the passage for each answer.

How Honeybees Select a New Nest Location?

  • Scouts investigate various nest sites 

  • Scouts return and perform a 10. ___________ to promote their location 

  • Other scouts visit the site and report back 

  • The better the nest, the longer and more 11. ___________ the dance 

  • Gradually, more bees visit the site 

  • Decision is made through a 12. ___________ process 

  • Ensures selection of the most suitable site through collective 13. ___________

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Secrets of the Swarm Reading Answers with Explanations 

  1. Individual ants have a clear understanding of their specific role in the colony.

  • Answer: FALSE

  • Location: Paragraph B – "Deborah Gordon, a biologist at Stanford University, showed me that nothing an ant does makes any sense except in terms of the whole colony."

  • Explanation: The passage states that individual ants do not have a clear understanding of their specific roles; their actions only make sense in the context of the colony's collective behaviour.

  1. Ant colonies have a single leader that directs the actions of other ants.

  • Answer: FALSE

  • Location: Paragraph B – "And as Gordon discovered during her research, there’s no one ant making decisions or giving orders."

  • Explanation: The passage explicitly mentions that there is no single ant making decisions or giving orders in the colony.

  1. The ‘waggle dance’ of honeybees helps the colony decide on a new nest location.

  • Answer: TRUE

  • Location: Paragraph E – "When they return, they do a ‘waggle dance’ for their spot, and other scouts will then fly off and investigate it."

  • Explanation: The waggle dance is described as a method used by honeybees to communicate about potential nest sites.

  1. The decision-making process among honeybees is similar to that of human business meetings.

  • Answer: FALSE

  • Location: Paragraph F – "Citizens in Vermont control their municipal affairs by putting forward proposals, or backing up others’ suggestions, until a consensus is reached through a vote."

  • Explanation: While both honeybee and human decision-making involve group input, the passage contrasts honeybee behaviour with the structured voting process in human meetings.

  1. Termites build their mounds based on a carefully planned structure.

  • Answer: FALSE

  • Location: Paragraph G – "Termites do not have an architect’s blueprint or a grand construction scheme."

  • Explanation: The passage clearly states that termite mound construction is not based on a pre-planned structure but on environmental cues.

  1. Internet collaboration resembles swarm behaviour in insects.

  • Answer: TRUE

  • Location: Paragraph G – "Miller compares a wiki website, for example, to a termite mound."

  • Explanation: The comparison between wikis and termite mounds suggests that internet collaboration follows similar swarm behaviour patterns.

  1. A gas company in Texas applied ant behaviour principles to...

  • Answer: E. improve the efficiency of delivery routes.

  • Location: Paragraph D – "They came up with a computer model, based on the self-organising principles of an ant colony... it produces a simulation determining the best route for the delivery lorries to take."

  • Explanation: The gas company used ant colony principles to optimise delivery routes.

  1. The town meeting in Vermont demonstrated that...

  • Answer: A. effective decisions can be reached through shared knowledge and consensus.

  • Location: Paragraph F – "For group decision-making to work well, you need a way to sort through the various options they propose; and you need a mechanism to narrow down these options."

  • Explanation: The town meeting demonstrated how shared decision-making can lead to effective solutions.

  1. The growth of information-sharing websites shows that...

  • Answer: C. complex decisions can be managed without direct human input.

  • Location: Paragraph G – "Rather than meeting up and talking about what we want to post online, we just add to what someone... already wrote."

  • Explanation: Wiki websites allow for collective decision-making without direct human interaction.

  1. Scouts return and perform a ______ to promote their location

  • Answer: waggle dance

  • Location: Paragraph E – "When they return they do a ‘waggle dance’ for their spot."

  • Explanation: The waggle dance is used by bees to signal other scouts about the site.

  1. The better the nest, the longer and more ______ the dance

  • Answer: vigorous

  • Location: Paragraph E – "The more they liked their nest, the more vigorous and lengthy their waggle dance."

  • Explanation: A vigorous dance indicates the quality of the nest site.

  1. Decision is made through a ______ process

  • Answer: democratic

  • Location: Paragraph E – "It’s a system that ensures that support for the best site snowballs and the decision is made in the most democratic way."

  • Explanation: The decision-making process is described as democratic.

  1. Ensures selection of the most suitable site through collective ______

  • Answer: support

  • Location: Paragraph E – "The volume of bees builds up towards one site."

  • Explanation: The site that gains the most support becomes the chosen location.

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Secrets of the Swarm Reading Answers FAQs

What is swarm behaviour in insects?

Swarm behaviour refers to the collective movement and decision-making of insects such as ants, bees, and termites. It involves individual creatures working together as a group without centralised control.

How do ant colonies decide how many foragers to send out for food?

When forager ants return with food quickly, they signal other ants to go out. If many ants return without food, it signals the colony to reduce foraging.

How did a Texas gas company apply ant colony behaviour to improve operations?

The gas company used a computer model based on ant colony behaviour to optimise delivery routes, improving efficiency.

How is swarm behaviour reflected in human activities like internet collaboration?

Wiki websites function similarly to termite mounds, where users add to existing information without direct coordination, enabling collective knowledge-sharing.
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